Annotated bibliography: Topic: Mindfulness and education/Mindfulness and academic performance The purpose of this annotated bibliography assignment is for you to start to prepare for the final researc
Research Article https://doi.org/10.12973/eu -jer.11.2.681
European Journal of Educational Research
Volume 11 , Issue 2, 681 - 69 5.
ISSN: 2165 -8714
http://www. eu -jer .com/
Moderating the Neuropsychological Impact of Online Learning on
Psychology Students
Valentyna Voloshyna *
National Pedagogical Dragomanov
University, UKRAINE
Inna Stepanenko
National Pedagogical Dragomanov
University, UKRAINE
Anna Zinchenko
National Pedagogical Dragomanov
University, UKRAINE
Nataliia Andriiashyna
National Pedagogical Dragomanov University, UKRAINE
Oksana Hohol
National Pedagogical Dragomanov University, UKRAINE
Received: November 21, 2021 ▪ Revised: December 27, 2021 ▪ Accepted: January 15, 2022
Abstract: The purpose of the study was to identify what neuropsychological effect online learning ha d on psychology students and
how it c ould be moderated. The study was descriptive and combined qualitative and quantitative methods to address the research
questions. The study relied on three phases such as baseline study, experiment, and reporting. The experiment utilised
neuropsychology tests adopted from the NeurOn platform. It was found that the Psychology students’ perceptions of e -learning and
their emotional reaction to them were found no t to be appreciative. The practices in breathing exercises, meditation, or yoga were
proved to be able to moderate the impact of online learning on the experimental group students’ attentional capacities, memor y
processes, and cognition abilities. The abov e findings were supported by the results obtained for the neuropsychology tests and the
experimental group students’ self -reflections yielded from the use of the MovisensXS App. The students confirmed that breathing
exercises, meditation, or yoga reduced st udy stress and burnout caused by e -learning and improved their academic performance.
The focus group online discussion also showed that integration of breathing exercises, meditation, and yoga helped the
experimental group students keep emotional balance, concentrate on their studies easier, remember more information, and meet
deadlines in completing assignments. The education scientists are suggested to study how the e -learning curriculum could be
reshaped so that it used relaxation practices on regular ba sis.
Keywords: Higher education, neuropsychological impact, online learning, psychology students .
To cite this article: Voloshyna , V., Stepanenko , I., Zinchenko , A., Andriiashyna , N., & Hohol , O. (20 22). Moderating the
neuropsychological impact of online learning on psychology students . European Journal of Educational Research, 11(2), 681 -695.
http s://doi.org/ 10.12973/eu -jer. 11 .2.681
Introduction
A global pandemic has provided a never -before -seen boost to online learning and instruction in higher education
(Jayalakshmi, 2021; Shahzad, et al., 2020). That sudden change led to an instructional and technological shift in learning
science which is seen as a convergence of three fields such as neuroscience, education research, and cognitive psychology
(Perdue, 2021). Rasheed et al. (2020) and Barrot et al. (2021) also relate that unforeseen enhancement of online learning
to five challenges which are students’ self -regulation skills, the technological literacy, and competency of both students
and teachers, the isolation of students, technological sufficiency of institutions, students and teac hers, and technological
complexity of generating, shaping and measuring (assessing) knowledge. The above suggests that taking advantage of
fully home -based online learning requires students to build resiliency skills, adopt new learning strategies across d iverse
learning contexts and technological means, and surmount challenges. However, recent studies show that fully home -
based online learning causes mental health problems in students such as anxiety, frustration, and inconvenience
(Copeland et al., 2021; Fagan, 2021; Marroquín et al., 2020). The college and university students complain about being
forced to adjust to online learning which results in significant distress that affects their mood, thinking, and behaviours.
These mental states and behaviours a re related to brain activity and the rest of the nervous system, and these are studied
within neuropsychology. The studies on the neuropsychological impact of online learning are still limited and the studies
* Corresponding author:
Valentyna Voloshyna, National Pedagogical Dragomanov University, Kyiv , Ukraine . [email protected]
© 20 22 The Author(s). Open Access - This article is under the CC BY license (https://creativecommons.org/licenses/by/4.0/ ). 682 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
on the neuropsychological impact of online lear ning on preservice psychologists – those who are aware of how to adjust
themselves to new learning setup – were not found. This inspired the research and created a gap to address.
Literature Review
The Psychological and Instructional Perspective of Online Learning
The literature reveals that a global pandemic challenged the approaches to perform the process of teaching -learning
online (Barron et al., 2021; Lemoine et al., 2021; Zalat et al., 2021). American Psychological Association (APA) , when
highlighti ng the psychological perspective of the problem, emphasised the pronounced effects of the pandemic on
students’ mental health and wellbeing which hindered their educational attainment and outcomes (APA, 2020). Marziali
and Lu (2021) reported the increased depression and anxiety rates amongst college and university students worldwide.
Alam et al. (2021) found that computer -mediated learning and emotional intelligence caused substantial study stress and
burnout in students which resulted in academic underperf ormance. Son et al. (2020) state that there is a need for
developing psychological interventions and preventive strategies to cope with the effects that COVID -19 has on the
mental health of college students.
Instructionally, the global pandemic is reshapin g the online learning mode dramatically. The teachers move from face -
to-face to technologised and individualised teaching. It was found the attempt to automate e -learning at higher education
institutions. Lychuk et al. (2021) share their best practice of t he use of automation of the teaching -learning process via
the use of the Smart Sender Platform. Bobrytska et al. (2020) highlighted the benefits of the use of the Dialogflow chatbot
in the Moodle LMS -based course. The automation of the instruction was reported to optimise the students’ cognitive load,
reduce the dropout rate, and increase learning engagement and motivation ( Bobrytska et al., 2020; Lychuk et al., 2021) .
Ortiz and Levine (2021 ) presented their finding s on fully online occupational training of psychology undergraduates
which was reshaped to be delivered within the university -based counselling and assessment training centres that
provide telehealth psychological services to the public.
Neuropsychology o f Online Learning
Generally, the studies on the neuroscience of learning categorise learning into skill learning and intentional learning. Skil l
learning relies on long -term, semantic, implicit memory. Intentional learning is based on long -term, semantic, explicit
memory. Both skill learning and intentional learning are functionally regulated by the frontal lobe of the brain. This area
of the brain is proved to be influenced by digital learning (Belham, 2018; Bresciani Ludvik , 2016; Fred , 2020). In the
abov e context, the neuropsychological assessment aims at assessing the entirely cognitive processes such as attention
and concentration capacities, verbal and visual memory capacity, processing of auditory and visual information, visual -
spatial functioning. It also tests language and reading skills, sensory development and integration, gross and fine motor
development, development of social skills, executive functioning, and emotional and personality development of the
individual (Neuro Assessment and Developme nt Center, 2021).
The neuropsychology of online learning studies positive and negative influences of e -learning on learners. Jozefowiez
(2012) indicates that the e -learning mode benefits students mentally – it fosters their ability to concentrate better,
reduces peer pressure, ensures flexibility in the use of individualised intellectual stimuli by the instructor. However, it
causes changes in the functioning of the brain and social cognition abilities in learners because of the increased multi -
tasking, cog nitive overload that leads to the overconsumption of metabolic energy ( Firth et al., 2019). Firth et al. (2019)
opine that e -learning negatively influences the social cognitive abilities of the learners. Takeuchi et al. (2018), and Loh
and Kanai (2016) indicate that those changes in the brain - such as a reduction of volume of the cortex and a decrease of
grey matte r in the individual’s prefrontal areas – lead to the impediment of the information processing speed of learners
when they search, locate, and read the online content. Johnson (2020) argued that the e -learning mode that was
conducted throughout a pandemic imposed stress on the students . That s tress caus ed them to release stress hormones
such as adrenaline, norepinephrine, and cortisol which impaired students’ brain functions related to learning. Liu et al.
(2018) found that the verbal intelligence and visual system of the learners are also impacted by the e -learning mode of
study. Since, online learning has proved to cause emotional disorders, such as depression or anxiety, it seems to be the
very case when medical practitioners recommend administering neurop sychological tests to figure out the preventive
measures (Bhargava, 2020).
The literature review found no research on the neuropsychological impact of online learning on Psychology students.
Therefore, the purpose of the study is to identify what neuropsy chological effect online learning has on psychology
students and how it can be moderated.
The research questions are as follows:
a) how students perceive their e -learning experiences
b) how the practices in breathing exercises, meditation, or yoga moderate the impact of online learning on students’
attentional capacities, memory processes, and cognition abilities
с) how the experimental group students perceive the intervention. European Journal of Educational Research 683
Methodology
The study was descriptive and combined qualitative and quantitative methods to address the research questions
(McLeod, 2019). It lasted from October 2020 till June 2021. The study relied on three phases such as baseline study,
experiment, and reporting. Th e baseline study phase attempted to answer the research question concerning students’
perceptions of their distance learning experiences. This research phase relied on the s urvey data yielded with the
questionnaire that was designed by the authors (see App endix A). The experiment utilised neuropsychology tests
adopted from NeurOn (NeurOn, 2021). These instruments were chosen because they were digitalised, recommended for
both clinicians and researchers, and used by a number of well -established institutions which prove d that they were
reliable. The tests were used to measure experimental group students’ attentional capacities, memory processes, and
cognition abilities before and after the intervention. In the experimental phase, the study also used the experi ence
sampling method (Larson & Csikszentmihalyi, 2014). This was to involve the sampled students in the reporting on their
thoughts, feelings, and behaviours in different settings such as before doing their studies online, after the classes, after
they pra cticed breathing exercises, meditation, or yoga. The data were collected using the MovisensXS App for Android
smartphones (Movisens, 2021). In this phase, the focus group online discussion was also administered to address the
third research question which aimed at exploring the experimental group students’ perceptions and attitudes towards
the intervention. The Otter automatic speech -to-text transcription application was used to process the participants’
responses to the questions (Otter, 2021). The reporti ng phase involved data systematical consolidation and organisation
so that data c ould be interpreted and analysed by the research team.
The Design of the Experiment
The study used a quasi -experimental design. Its experiment part was a flow of five steps. These were as follows: 1)
completing the screening form (see Appendix B); 2) forming the experimental group (EG) and control group (CG) each
consisting of 25 students ; 3) pre -intervention measurements - administration of the nine online tests such as Alternate
Tapping (AT) Test, Cancellation Test, Star Counting Test, Spatial Working Memory Test – Backwards, Sustained Attention
to Response Test, Trail Making A Test, Pic ture Encoding Test, Picture Recognition Test and Digit Span – Backwards on
the NeurOn platform; 4) involvement of EG students in performing breathing exercises, meditation, and yoga for 15 min
before and after the online classes. Along with these, they rep orted on their thoughts, feelings, and behaviours in different
settings using the MovisensXS App for Android smartphones (See Fig. 1).
Figure 1. Abstract Instruction Management Scheme to Reduce the Neuropsychological Impact of Online Learning of the
Psychology Students (Note: BE - Breathing exercises; M – Mediation; Y – Yoga)
Importantly, the CG performed their e -learning as they commonly did. 5) after -intervention measurements - after the
semester the nine online neuropsychological tests are administered again. These w ere as follows: Simple Reaction Time
(SRT) Test, Fragmented Letter Test, Virtual Supermarket Test, Spatial Working Memory Test – Forwards, Sustained
Attention to Response Test, Trail Making B test, Word Encoding Test, Word Recognition Test, and Digit Span – Backwards
Test.
Experimental group Ss’ perceived
influence of e-learning on their
attentional capacities, memory
processes, and cognition abilities BE
M
Y
M
Y
Motor function
Tests -identified Neuropsychological impact
Visuospatial
search
Working memory
function Episodic memory
recognition
Executive function Processing speed
and task switching
Episodic memory
encoding
Attention and
inhibition Online
classes
BE 684 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
Sampling
The random sampling technique was used in the baseline study phase. In this phase, the link to a survey questionnaire
on how students perceive their e -learning experiences was sent to 249 university students majoring in Psychology at
National Pedagogical D ragomanov University (NPDU) (Ukraine), Borys Grinchenko Kyiv University (BGKU) (Ukraine) ,
State University of Infrastructure and Technologies (SUIT) (Ukraine) and National Aviation University (NAU) (Ukraine) .
Seventy -six responses were excluded from the an alysis because they either lacked students’ consent or reported
students’ specific health problems. The demographic features of the respondents are presented in Table 1.
Table 1. Demographic Features of the Respondents Surveyed in the Baseline Study (n=173)
Demographic features NPDU BGKU SUIT NAU Mean SD
Age
18 -19 21 (26.25%) 22 (27.50%) 18 (22.50%) 19 (23.75%) 18.60 0.489
20 -21 16 (28.57%) 15 (26.78%) 12 (21.42%) 13 (23.22%) 20.39 0.488
22 -23 12 (32.43%) 9 (24.32%) 11 (29.72%) 5 (13.52%) 22.59 0.490
Gender Males 13 (25.49%) 17 (33.33%) 12 (23.52%) 9 (17.64%) 12.75 2.861
Females 31 (25.41%) 34 (27.86%) 28 (22.95%) 29 (23.77%) 30.50 2.291
The convenience sampling method was used to select undergraduates from National Pedagogical Dragomanov University
(NPDU) and State University of Infrastructure and Technologies (SUIT) to participate in the experiment. The sampling
procedure for the interve ntion used the Screening Form (see Appendix B) designed by the Department of Psychology for
National Pedagogical Dragomanov University. The link to the form was shared with the students through the Viber and
Telegram messengers. It also included informatio n about the purpose of the experiment and addressed ethical
consideration requirements. Additionally, the students were informed that participation in the intervention earned them
additional credit points in the Psychology course. Importantly, the form ser ved as the set of selection filters to discover
wh ich of the students are eligible to participate in the intervention as well. Those criteria were as follows: a) the age was
expected to be between 19 and 21; b) right -handed; c) not suffering from any heari ng problems, or neurological
difficulties, or movement limitations or mental handicaps; d) not diagnosed with any learning disability of neurological
nature, or attention -deficit/hyperactivity disorder, or psychiatric illness. Fifty undergraduates aged 18 -21 ( ,
) were selected to form the experimental group (EG) and control group (CG) each consisting of 25 people. The
EG group involved 25 students for National Pedagogical Dragomanov University (NPDU) and the CG consisted of 25
undergraduates majoring in P sychology for State University of Infrastructure and Technologies (SUIT). The homogeneity
of both groups in academic efficiency was identified by calculating the grade point average (GPA). The GPA value for the
EG was 3.47 and it was 3.52 for the CG which meant that the groups could be considered comparable. The pre -
intervention measurements were also administered using neuropsychology tests which proved that the groups were
homogeneous.
Ethical Considerations
The sampled students were sent Letters of Infor mation and Consent to Participate in a Research Study. By these, the
students were provided with the information that revealed the purpose and procedure, estimated outcomes, and possible
discomforts or risks associated with practicing breathing exercises, meditation, or yoga in the educational intervention.
Following th at, the students signed the consent form to indicate that they made the informed decision to enter into the
study at the intervention point. Any personal information and students’ identity were only accessed by the research team
to ensure confidentiality and anonymity. The draft of the survey questionnaire on how students perceive d their e -
learning experiences was examined several times to ensure that it d id not consist of discrimin atory or offensive wording
(Goodwin et al., 2019).
Instruments
The study addressed the research questions through the use of the s urvey questionnaire on how students perceive d their
e-learning experiences , a set of neuropsychology tests, and the focus group online survey. The data that were collected
with the survey and tests were analysed using the Jamovi computer software (Version 2.0.0) (Jamovi Project, 2021).
Survey Questionnaire on How Students Perceive their E -learning Experiences
The questionnaire, which is in Appendix A , and can be accessed via the link https://forms.gle/jqaMQQWoRU1o9jGx8 ,
consisted of 23 close -ended questions to cover the demographic features of the respondents including inf ormation about
their health problems that they were aware of, their p erceived attentional capacity, perceived learning success in e -
learning settings, perceived study load and perceived emotional states. Questions 12 to 23 used the Likert 5 -point rating
scales such as “Frequency Scale”, “Degree of difficulty scale”. The face validity, construct validity, content validity and the
inter -rater reliability of the questionnaire were performed following Rodrigues et al . (2017) and Taherdoost (2016) . The
content validation was performed by five members of the research team and three volunteer colleagues. The val ue for European Journal of Educational Research 685
the item -level content validity index (IL -CVI) was 0.836. This was greater than the critical value (0.75) for the number of
experts like this and meant “good agreement”. The face validity and construct validity of the questionnaire were also
found b y the experts as good and appropriate for the study (Taherdoost, 2016) . The inter -rater reliability was performed
by five raters – three members of the research team and two volunteer colleagues – who used the 4 -point relevance scale.
The Fleiss’s Kappa co efficient was 0.640 which meant “substantial agreement” of the raters on the relevance of questions
in the questionnaire (Polit & Beck, 2006). The questionnaire was set up with Google Forms and then administered to
university students. A psychometrist was hired to interpret some results of the survey.
Neuropsychology Tests
The study used a set of neuropsychology tests designed by the NeurOn team (NeurOn , 2021). The tests were administered
online at pre -experimental and post -experimental phases in both EG and CG. The instrument comprised 16 tests. These
were as follows: 1) Alternate Tapping Test (based on the B.R.A.I.N test), 2) Cancellation Test, 3) Digi t Span – Backwards,
4) Fragmented Letter Test, 5) Picture Encoding Test, 6) Picture Recognition Test, 7) Simple Reaction Time Test, 8) Spatial
Working Memory – Backwards, 9) Spatial Working Memory – Forwards, 10) Star Counting Test, 11) Sustained Attention
to Response Test, 12) Trail Making A Test, 13) Trail Making B Test, 14) Virtual Supermarket Test, 15) Word Encoding
Test, 16) Word Recognition Test. The distribution of tests is shown in Table 2.
Table 2. Tests Used at Pre -Experimental and Post -Experimental Phases and Brain Functions They Cover
Brain function Pre -experimental phase Post -experimental phase
Motor function Alternate Tapping (AT) Test Simple Reaction Time (SRT) Test
Visuospatial search Cancellation Test (CT)
Star Counting Test (SCT)
Fragmented Letter Test (FLT)
Virtual Supermarket Test (VST)
Working memory function Spatial Working Memory Test –
Backwards (SWMT -B)
Spatial Working Memory Test –
Forwards (SWMT -F)
Attention and inhibition Sustained Attention to Response
Test (SART)
Sustained Attention to Response
Test (SART)
Processing speed and task switching Trail Making A Test
(A-test)
Trail Making B Test (B -test)
Episodic memory encoding Picture Encoding Test (PET) Word Encoding Test (WET)
Episodic memory recognition Picture Recognition Test (PRT)
Word recognition test (WRT)
Executive function Digit Span – Backwards (DS) Digit Span – Backwards (DS)
Overall, the tests are cross -sectional and cover participants’ attentional capacities, memory processes, and cognition
abilities. The AT test and SRT test are both used with the same purpose – to test participant s’ motor functions. Both tests
calculate scores for how well each hand of the participant manifests kinesia, bradykinesia, akinesia, dysmetria, and
incoordination. The tests aim to identify any movement disorder. The visuospatial search tasks – the Cancellation Test,
the Star Counting Test, the Fragmented Letter Test, and the Virtual Supermarket Test – are to diagnose an early visual
disorder in participants. The Spatial Working Memory Test – Backwards and the spatial working memory test – Forwards
are based on the Corsi block test (Berch et al., 1999). The tests provide the data on fronto -parietal cortex functioning.
The Sustained Attention to Response Test (SART) is supposed to detect the frontal lobe symptoms in participants through
testing their attention and higher executi ve functions. The Trail Making A & B Tests are to identify the participants’
processing speed and task switching, as well as their attentional resources and motor function. The tests that are used to
identify the encoding and memory performance – the episo dic memory encoding test and the word encoding test – are
based on the tasks that are related to memorising a series of everyday high -frequency words, which are then displayed
on some side of the computer screen. The participants’ episodic memory recogniti on is tested through the Picture
Recognition Test and Word Recognition Test. Both tests aim at identifying contextual or source memory for the
memorised words. The Digit Span Test – Backwards is to examine the higher executive and working memory functions
of the participants which are related to the performance of their frontal lobe zones. The testing system provides the
statistical results for the tests as an Excel file instantly. In the context of the study, t he neuropsychology tests were
accepted as the ones that were validated by default by the NeurOn team.
Focus Group Online Discussion Questions
Nine randomly selected EG students were selected to participate in the focus group online discussion. It relied on 5 open -
ended questions and took more than an hour. The questions were as follows:
1) How do you feel overall about integrating breathing exer cises, meditation, yoga into online studies at university?
Suggest examples to illustrate your experience. 686 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
2) Can you describe your positive and negative experiences of participation in the updated model of online studies at
university? What caused, if any , negative impressions, and how they can be addressed in the future? Provide your
reasoning.
3) What, in your view, were the purposes of integrating breathing exercises, meditation, yoga into online studies? Did
they help you concentrate, remember, and pro cess information more efficiently? Suggest examples to illustrate your
answers.
4) Do your think the integration of breathing exercises, meditation, yoga into online studies at universities can help in
coping with the negatives of e -learning?
5) How the te aching model that is based on the use of breathing exercises, meditation, yoga in online studies can be made
more student responsive?
Three research team members moderated and facilitated the discussion. Other research team members transcribed it
using the Otter speech -to-text application. The students’ responses were coded and analysed. The procedure of
identifying the coding reliability was performed in accordance with Syed and Nelson (2015). It relied on the data -driven
approach which was supposed to use the construction of a coding scheme that was based on the collected data. The
verbatim interview transcript was then divided into the interview question -related themes. The draft of a coding manual
was designed. Two coders, who were graduates from Borys Grinchenko Kyiv University and State University of
Infrastructure and Technologies, were randomly selected and trained to use the coding manual to avoid confusing
interpretations. The coders coded the data individually, then they met for the consensus meeting online. Following that,
the Cohen's Kappa reliability coefficients were calculated. The index value for in ter -coder reliability was 0.655 meaning
‘substantial agreement’ between the raters.
Results
The study attempted to address three research questions. The first research question was aimed at identifying how
students perceived their e -learning experiences. T he purpose of the second research question was to identify how the
practices in breathing exercises, meditation, or yoga influence students’ attentional capacities, memory processes, and
cognition abilities while they perform online learning. The third que stion was addressed via the focus group discussion
that was intended to find how the experimental group students perceive the intervention.
Results Drawn from the Baseline Study
The data yielded for the survey were analysed manually and using the Jamovi computer software (Version 2.0.0). Since
the questionnaire consisted of filter questions and questions to collect the demographic data, the further analysis only
used the data that answered the first research question. The analysis reveals the stude nts’ perceptions of their suitability
for e -learning, study workload, e -learning aspects, and their emotional reaction to them. The analysis of Q7 and Q8
suggested that 75.4% of the respondents were sure that they were suitable students for the e -learning and 64.3% of
students were certain that they did their best to be successful in e -learning. More than two -thirds (68.4%) of the surveyed
students reported that they spent 5 -6 hours daily on online classes and 54.7% of the students showed that they spent th e
same amount of time on doing assignments. The psychometrist, who was hired to interpret the collected data, proved
that the students over limited time on their studies. The descriptive statistics for the questions that used Likert scales are
presented in Table 3.
Table 3. Descriptive Statistics Drawn from the Survey for the Questions That Used Likert Scales
95% Confidence Interval SD Skewness Shapiro -Wilk
Mean SE Lower Upper Skewness SE W P
Q6 1.91 0.0561 1.80 2.02 0.738 0.5776 0.185 0.914 < .001
Q11 2.30 0.0403 2.22 2.38 0.530 0.8553 0.185 0.875 < .001
Q12 3.90 0.0560 3.79 4.01 0.737 -0.1078 0.185 0.936 < .001
Q13 3.69 0.0522 1.59 1.79 0.687 0.4946 0.185 0.874 < .001
Q14 2.65 0.0555 2.54 2.76 0.729 0.1116 0.185 0.942 < .001
Q15 1.84 0.0467 1.75 1.94 0.614 0.1015 0.185 0.869 < .001
Q16 3.79 0.0500 3.69 3.89 0.658 0.2491 0.185 0.885 < .001
Q17 1.83 0.0481 1.73 1.92 0.632 0.1556 0.185 0.878 < .001
Q18 1.55 0.0474 1.46 1.64 0.623 0.6861 0.185 0.932 < .001
Q19 1.53 0.0516 1.42 1.63 0.678 1.1488 0.185 0.920 < .001
Q20 1.57 0.0500 1.47 1.67 0.657 1.3442 0.185 0.911 < .001
Q21 3.84 0.0548 3.73 3.95 0.721 0.0655 0.185 0.927 < .001
Q22 4.32 0.0498 4.23 4.42 0.655 -0.4515 0.185 0.869 < .001
Q23 3.97 0.0528 3.87 4.07 0.694 0.0385 0.185 0.905 < .001 European Journal of Educational Research 687
As can be seen in Table 3, the Mean values for every question skewed either left or right which meant students’ negative
perception. The value for Q6 (M=1.91, SD=0.0561) indicated that the students rated their experience with online learning
as the one tha t ‘did not meet their expectations at all’ or ‘somewhat met their expectations’. Concerning Q11, the values
(M=2.30, SD = 0.0303) implied that students considered the assessment to be the one that lacks transparency and is
confusing or too strict. The resp onses to Q12 (M=3.90, SD=0.0560) showed that students were often worried about their
academic performance when they study online and they had a difficult time with controlling their study workload (Q13
– M=3.69, SD=0.0522, and Q16 – M=3.79, SD=0.0500). The respondents could just sometimes meet deadlines, according
to values for Q14 (M=2.65, SD=0.0555) and they needed the effort to control their irritation during online classes that
caused stress (Q15 – M=1.84, SD=0.0467, and Q17 – M=1.83, SD=0.0481). The va lues for Q18, Q19, Q20, Q21, Q22, and
Q23 suggested that the respondents faced difficulties with concentration and speed of processing information (Q18 -
M=1.55, SD=0.0474, Q19 – M=1.53, SD=0.0516, Q20 – M=1.57, SD=0.0500, Q21 – M=3.84, SD=0.0548, Q22 – M= 4.32,
SD=0.0498, Q23 – 3.97, SD=0528).
The above data suggested that the biology of the learning and brain capacity needed change and this inspired the use of
breathing exercises, meditation, yoga in the online studies to address the issues.
Intervention
The ANCOVA test was used to measure how the practices in breathing exercises, meditation, or yoga moderate the impact
of online learning on the EG students’ attentional capacities, memory processes, and cognition abilities were based on
neuropsychology tes ts. The results of the pre -test measurements were used as a covariate. The results of the analysis are
presented in Table 4.
Table 4 : Results of Measurements Performed Before and After the Intervention based on the ANCOVA test , EG ( ),
and CG ( )
ANCOVA – Post -test Sum of Squares Mean Square Overall model 17940 2 8969.9 152.4 < .001
Pre -test 16885 1 16884.5 286.9 < .001 0.897 0.891
Treatment 1055 1 1055.2 17.9 < .001 0.056 0.053
Residuals 883 15 58.8
As can be seen in Table 4, the value for the proportion of the variability (η²) for the Pre -test and Post -test tends to be 1
meaning that the relationship between the two is sufficient, (Navarro & Foxcroft, 2021). Furthermore, it
could be deemed by Cohen ’s guidelines that the value for treatment ( ) showed a medium effect size with
5.6% of the variance caused by the intervention independent variable (Eddy, 2010). As detailed in the Post Hoc
Comparisons Table (see Table 5), the Mean Difference values ( = –15.3, SE = 3.62) proved that there was an
improvement in the brain functioning of the EG students due to the use of breathing exercises, meditation, yoga in e -
learning.
Table 5. Post Hoc Comparisons Based on Mean Values Drawn from Neuropsychological Tests
Comparison Mean
Difference p
95% Confidence
Interval
Treatment Treatment Lower Upper
As usual Intervention –15.3 3.62 15.0 –4.23 < .001 –2.00 –3.27 –0.726
Note. Comparisons are based on estimated marginal means
The -value ( ; ) also implied that the EG students experienced a more significant improvement
in their motor function, visuospatial search, working memory function, attention and inhibition, processing s peed and
task switching, episodic memory encoding, and recognition, and executive function. The effect size was also significant,
, which supported the assumption that the practices in breathing exercises, meditation, or yoga
moderate the impact of online learning on the EG students’ attentional capacities, memory processes, and cognition
abilities.
The above data were supported by the EG students’ self -reflections yielded from the use of the MovisensXS App. They
confirmed that breathing exercises, meditation, or yoga reduced study stress and burnout caused by e -learning and
moderated their academic performance.
688 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
Focus Group Online Discussion
Question 1. The students reported that integrating breathing exercises, meditation, and yoga helped them keep emotional
balance, concentrate on their studies easier, remember more information, and meet deadlines in completing assignments.
Some illustrative quotes were as follows:
‘…before I started breath ing exercises prior and after the classes, it was hard for me to focus and retain
information but then I became confident that I can manage all these assignments in time…’
‘…since I did a part -time job, my life was getting more and more difficult. I was ab out to quit my job so that I
could study, but yoga changed me dramatically. Now I feel motivated to do my online classes and assignments…’
‘… I thought my study workload was unaffordable and unmanageable, but after a month of regular 30 -minute
meditation I processed information twice as fast as before and my study workload seemed just OK to me …’
‘… before taking part in the experiment I spent 8 -9 hours a day on my assignments and I was furious, anxious,
sleepy, and very tired of learning and literally wrin g down all the lectures I attended. After two months of doing
yoga before and after the classes, the studies took me just 3 -5 hours a day and I remembered the lectures far
better…’
Question 2. The students mentioned that they gained self -control of their thoughts, emotions, and learning efforts as their
positive experiences and the need for training teachers in the use of technology as their negative experiences. The
students’ quotes were as fo llows:
‘... I remember the delay with my grades for the completion of the module. After two weeks, my groupmates
were in a panic, but me. I could control myself and help others…’
‘… in the middle of the online course the number of assignments has increased substantially, I could hardly
manage deadlines… My friends were frustrated, but I felt sure that I could deal with this… Yoga and breathing
activities worked for me…’
‘… some professors had problems with using online tools. Sometimes they used too many wh ich distracted me
and made me lost in the course. …it was a crap…’
‘... I often felt as if I was teaching myself…’
‘… it would be better if the lecturers record their lectures and I had the opportunity to watch them several times
at my convenience …’
The s tudents suggested training lecturers in online teaching and assessment to make it more transparent and less strict
because these cause the greatest proportion of frustration.
Question 3. The student’s view of the purpose of integrating breathing exercises, meditation, yoga into online studies was
to influence the biology of learning and memory. They made sure that breathing exercises, meditation, yoga had helped
them study more efficiently. Below are some students’ quotes:
‘… I was striving for excellence i n my studies but I had a difficult time concentrating and retaining information.
Now, I feel I can do twice as much…’
‘… I search and analyse information faster and more efficiently than I did before …’
Question 4. Students’ responses to this question sug gest that they support the idea of integration of breathing exercises,
meditation, yoga into online studies at universities in the way these activities were used in the experiment. They stated
that those activities can help the students to deal with the vi sual impairment, difficulties with concentration, and
cognitive activity which they had when studying online.
Question 5. The most frequent suggestions in participant responses were as follows: a) introduction of yoga or meditation
schools for students; b) launching information campaigns aimed at popularising using breathing exercises, meditation,
yoga in online studies; c) creating channels on YouTube and TikTok to share students’ experiences in practicing the above
activities.
Discussions
The study attempted to gain a better understanding of, first, how students perceived their e -learning experiences, second,
how the practices in breathing exercises, meditation, or yoga moderated the impact of online learning on students’
attentional capacities, memo ry processes, and cognition abilities, and third, how the experimental group students
perceived the intervention. European Journal of Educational Research 689
The novelty of the study lies in the approach to monitoring students’ biology of the learning and brain capacity using the
recently developed online tools which allow making the university study process more students responsive. One more
strength of the study is in the use of breathing exercises, meditation, or yoga moderate the impact of online learning on
students’ attentional capacities, memo ry processes, and cognition abilities.
The study found that the students’ perceptions of their suitability for e -learning, study workload, e -learning aspects, and
their emotional reaction to them were not appreciative. The analysis of Q7 and Q8 suggested t hat 75.4% of the
respondents were sure that they were suitable students for the e -learning and 64.3% of students were certain that they
did their best to be successful in e -learning. More than two -thirds (68.4%) of the surveyed students reported that they
spent 5 -6 hours daily on online classes and 54.7% of the students showed that they spent the same amount of time on
doing assignments. These were interpreted as the over -limit of time spent by students on their studies. The Mean values
for every question s kewed either left or right which meant students’ negative perception. The value for Q6 (M=1.91,
SD=0.0561) indicated that the students rated their experience with online learning as the one that ‘did not meet their
expectations at all’ or ‘somewhat met the ir expectations’. Concerning Q11, the values (M=2.30, SD = 0.0303) implied that
students considered the assessment to be the one that lacks transparency and is confusing or too strict. The responses to
Q12 (M=3.90, SD=0.0560) showed that students were ofte n worried about their academic performance when they study
online and they had a difficult time with controlling their study workload (Q13 – M=3.69, SD=0.0522, and Q16 – M=3.79,
SD=0.0500). The respondents could just sometimes meet deadlines, according to values for Q14 (M=2.65, SD=0.0555)
and they needed the effort to control their irritation during online classes that caused stress (Q15 – M=1.84, SD=0.0467,
and Q17 – M=1.83, SD=0.0481). The values for Q18, Q19, Q20, Q21, Q22, and Q23 suggested that the re spondents faced
difficulties with concentration and speed of processing information (Q18 - M=1.55, SD=0.0474, Q19 – M=1.53, SD=0.0516,
Q20 – M=1.57, SD=0.0500, Q21 – M=3.84, SD=0.0548, Q22 – M=4.32, SD=0.0498, Q23 – 3.97, SD=0528).
The most compelling expl anation for the above set of findings could be that the surveyed students were under academic
pressure which the respondents associated with unreasonably excessive cognitive overload, limited flexibility, and
emotional problems and fears. This pattern of r esults is consistent with Alam et al. (2021), Johnson (2020), and Bhargava
(2020) who opine that in pandemic settings e -learning causes study stress, burnout, and decline in students’ academic
performance. The above results provided supporting evidence of impaired students’ brain functioning related to learning
which was found by Johnson (2020).
One more key finding of the study is that the practices in breathing exercises, meditation, or yoga moderate the impact
of online learning on the EG students’ attentional capacities, memory processes, and cognition abilities. The value for the
proportion o f the variability (η²) for the Pre -test and Post -test tends to be 1 meaning that the relationship between the
two is sufficient, . Furthermore, it could be deemed by Cohen’s guidelines that the value for treatment (
) showed a medium effect size with 5.6% of the variance caused by the intervention independent variable
(Eddy, 2010). The Post Hoc Comparisons found that the Mean Difference values ( = –15.3; )
indicated an improvement in the brain functioning of the EG students due to the use of breathing ex ercises, meditation,
yoga in e -learning. The -value (t = – 4.23; ) also implied that the EG students experienced a more significant
improvement in their motor function, visuospatial search, working memory function, attention and inhibition, processing
speed and task switching, episodic memory encoding, and recognition, and executive function. The effect size was also
significant, which supported the assumption that the practices in breathing exercises, meditation, or
yoga moderate the impact of online l earning on the EG students’ attentional capacities, memory processes, and cognition
abilities.
The above data were supported by the EG students’ self -reflections yielded from the use of the MovisensXS App. They
confirmed that breathing exercises, meditatio n, or yoga reduced study stress and burnout caused by e -learning and
improved their academic performance. The focus group online discussion also confirmed that integration of breathing
exercises, meditation, and yoga helped the EG students keep emotional b alance, concentrate on their studies easier,
remember more information, and meet deadlines in completing assignments.
The above data have an intervention -related implication such as the development of emotional stability in young people
which seems releva nt in the settings of a computer -mediated learning environment. The implication is consistent with
Alam et al.'s (2021), Barron et al. (2021), Hatzichristou et al. (2021), Pedditzi and Spigno (2019), and Quiroz et al., (2020)
who found that there was a need for training students in controlling and mitigating stress situations and students lacked
learning strategies that help them keep themselves mentally healthy. The study agrees with Bhargava (2020) who
claimed that the administration of neuropsychological tests to young people to figure out the preventive measures is
desirable. The present research, therefore, contributes to a growing body of evidence suggesting that digital learning
affects brain functioning (Belham, 2018; Bresciani Ludvik , 2016; Fred , 2020). An immense of work remains to be done
before a full understanding of the extent of influence of digital learning on learners’ brains is established.
690 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
Conclusion
The Psychology students’ perceptions of e -learning and their emotional reaction to them were found not to be
appreciative. The practices in breathing exercises, meditation, or yoga were proved to be able to moderate the impact of
online learning on the experimental group students ’ attentional capacities, memory processes, and cognition abilities.
The above findings were supported by the results obtained for the neuropsychology tests and the experimental group
students’ self -reflections yielded from the use of the MovisensXS App. T he students confirmed that breathing exercises,
meditation, or yoga reduced study stress and burnout caused by e -learning and moderated their academic performance.
The focus group online discussion also showed that integration of breathing exercises, medita tion, and yoga helped the
experimental group students keep emotional balance, concentrate on their studies easier, remember more information,
and meet deadlines in completing assignments.
Recommendations
The practitioners are recommended to take a course or training in breathing, meditation, or yoga for at least half a year
before they train students. They are also supposed to get aware of neuropsychology tests provided by NeurOn and learn
to interpret the data they provide. The education scientists are suggested to study how the e -learning curriculum could
be reshaped so that those integrated relaxation practices on regular basis. The avenue of further research could be on
what preventive effect the optimi sed curriculum could have on students in terms of fatigue, predisposition to emotional
disorders caused by the distance learning mode.
Limitations
The student s’ access to technology to complete the survey questionnaire, to take the NeurOn tests, and to use the
MovisensXS App, as well as the availability of reliable internet could be relevant limitation s to the study. The application
of criteria such as age, right -handedness, health issues imposed some more limitations to the study. Students’ majo r –
Psychology, and the convenience sampling method that was used to select undergraduates for the study were likely to
be a limitation.
Acknowledgement
We would like to express our sincere gratitude to students, lecturers, and experts for their timely and insightful
contribution towards enhancing the reliability of findings, depth, and readability of the manuscript.
Conflicts of Interest
The authors declare having no conflict of interest of any nature.
Authorship Contribution Statement:
Voloshyna: Concept and design, data acquisition, data analysis /interpretation, drafting manuscript, critical revision of
the manuscript, and statistical a nalysis. Stepanenko: Technical support, supervision, data acquisition, data
analysis /interpretation. Zinchenko: Drafting manuscript, and critical revision of the manuscript. Andriiashyna: Data
acquisition, data analysis /interpretation, and final approval. Hohol: Data acquisition, drafting manuscript, critical
revision of the manuscript , and final approval.
References
Alam , F., Yang, Q., Bhutto, M. Y., & Akhtar, N. (2021). The Influence of e -learning and emotional intelligence on
psychological intentions: Study of stranded Pakistani students. Frontiers in Psychology, 12, 715700.
https://doi.org/10.3389/fpsyg.2021.715700
American Psychological Association. (2020). Psychology’s understanding of the challenges related to the COVID -19 global
pandemic in the United States . https://www.apa.org/about/policy/covid -statement.pdf
Barron, J., Bruhl, J. C., McCoy, B. C., Barry, B. E., Zifchock, R., Nowicki, M., Bluman, J. E., & Wambeke, B. (2021) . Shock to the
system: How a teaching and learning model held up i n a global pandemic . In E. Miller, M. Lord, J. Pocock, Y. Palin
(Eds.), Proceedings for 2021 ASEE Virtual Annual Conference (pp. 1 -21). American Society for Engineering Education.
https://strategy.asee.org/37711
Barrot, J. S., Llenares, I. I., & Del Rosario, L. S. (2021). Students’ online learning challenges during the pandemic and how
they cope with them: The case of the Philippines. Education and Information Technologies, 26, 7321 –7338.
https://doi.org/10.1007/s10639 -021 -10589 -x
Belham, F. (2018). Introduction to the neuroscience of learning. Seneca Learning. http://bitly.ws/kZwV
Berch, D., Krikorian, R., & Huha, E. (1999). The Corsi block -tapping task: Methodological and theoretical considerations.
Brain and Cognition, 38 (3), 317 -318. https://doi.org/10.1006/brcg.1998.1039 European Journal of Educational Research 691
Bhargava, H. D. (2020). Neuropsychological tests. WebMD. http://bitly.ws/nj83
Bobrytska, V. I., Chkhalo, O. M., Protska , S. M., & Reva, T. D. (2020). Effectiveness and stakeholders’ perceptions of the
integration of automated e -learning courses into vocational education programmes in universities in Ukraine.
International Journal of Learning, Teaching and Educational Resea rch, 19 (5), 27 -46.
https://doi.org/10.26803/ijlter.19.5.3
Bresciani Ludvik , M. J. (Ed.). (2016). The neuroscience of learning and development: enhancing creativity, compassion,
critical thinking, and peace in higher education. Stylus Publishing, LLC.
https://searchworks.stanford.edu/view/11837734
Copeland, W. E., McGinnis, E., Bai, Y., Adams, Z., Nardone, H., Devadanam, V., & Hudziak, J. J . (2021). Impact of COVID -19
pandemic on college student mental health and wellness. Journal of the American Academy of Child & Adolescent
Psychiatry, 60 (1), 134 –141. https://doi.org/10.1016/j.jaac.2020.08.466
Eddy, S. (2010). Effect size for Analysis of Variance (ANOVA). PsychoHawks. http://bitly.ws/mftj
Fagan, S. (2021). OP INION: For online students, the challenges of pandemic learning are nothing new. The Daily Wildcat.
http://bitly.ws/nj8d
Firth, J., Torous, J., Stubbs, B., Firth, J. A., Steiner, G. Z., Smith, L., Alvarez‐Jimenez, M., Gleeson, J., Vancampfort, D., Armitage,
C. J., & Sarris, J. (2019 ). The “online brain”: How the internet may be changing our cognition. World Psychiatr y, 18 (2),
119 –129. https://doi.org/10.1002/wps.20617
Fred, M. R. (2020). The neuroscience of learning, Part 2. Major brain structures. http://bitly.ws/nj8g
Goodwin, D., Mays, N., & Pope, C. (2019). Ethical issues in qualitative research. In N. Mays, & C. Pope (Eds.) , Qualitative
research in health care (4th ed., pp. 27 -41), John Wiley & Sons Ltd. https://doi.org/10.1002/9781119410867.ch3
Hatzichristou, C., Lianos, P., Lampropoulou, A., Yfanti, T., & Athanasiou, D. (2021). WeCARE intervention program: an
online multilevel international program for promoting well -being and resilience in the school co mmunity during
unsettling times. European Journal of Psychology and Educational Research, 4 (1), 51 -67.
https://doi.org/10.12973/ejper.4.1.51
Jamovi Project. (2021). Jamovi . (Version 2.0.0) [Computer So ftware]. https://www.jamovi.org
Jayalakshmi, R. (2021). E -Learning delivery during COVID -19 and the future of blended learning. International Journal of
Computer Science and Mobile Computing, 10 (6), 75 -78. https://doi.org/10 .47760/ijcsmc.2021.v10i06.007
Johnson, T. (2020). Teaching through a pandemic: Cognitive load, mental health and learning under stress. University of
Denver.
Jozefowiez, J. (2012). Neuropsychology of learning. In N. M. Seel ( Eds.), Encyclopedia of the sc iences of learning (pp. 139 -
211). Springer. https://doi.org/10.1007/978 -1-4419 -1428 -6_212
Larson, R., & Csikszentmihalyi, M. (2014). The experience sampling method. In M. Csikszentmihalyi, Flow and the
foundations of positive psychology (pp. 21 -34). Springer. https://doi.org/10.1007/978 -94 -017 -9088 -8_2
Lemoine, P. A., McElveen, K., McCormack, T. J., Waller, R. E., & Richardson, M. D. ( 2021). Online teaching and learning in a
global pandemic: Solution or competitor? International Education and Research Journal, 7 (3), 50 -51.
http://bitly.ws/nj8J
Liu, X., Lin, X., Zheng, M., Hu, Y., Wang, Y., Wang, L., Du, X., & Dong, G. (2018). Internet search alters intra -and inter -regional
synchronization in the temporal gyrus. Frontiers in Psychology, 9 , 260. https://doi.org/10.3389/fpsyg.2018.00260
Loh, K. K., & Kanai, R. (2016). How has the Internet reshaped human cognition? The Neuroscientist, 22 (5), 506 –520.
https://doi.org/10.1177/1073858415595005
Lychuk, M., Bilous, N., Isaienko, S., Gritsyak, L., & Nozhovnik, O. (2021). Smart automated language teaching through the
smart sender platform. European Journal of Educational Research, 10 (2), 841 -854 . https://doi.org/10.12973/eu -
jer.10.2.841
Marroquín, B., Vine, V., & Morgan, R. (2020). Mental health during the COVID -19 pandemic: Effects of stay -at-home
policies, social distancing behaviour, an d social resources. Psychiatry Research, 293 , 113419.
https://doi.org/10.1016/j.psychres.2020.113419
Marziali, M., & Lu, Z. (2021). COVID -19 pandemic impacts mental health worldwide. Columbia University Mailman School
of Public Health. http://bitly.ws/kZYH
McLeod, S. A. (2019). Qualitative vs. quantitative research. Simply Psychology. https://bit.ly/3JUhclC
Movisens. (2021). MovisensXS. [Mobile App]. Movisens. https://bit.ly/3Go6ZMp 692 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
Navarro, D. J., & Foxcroft, D. R. (2021). Comparing several means (one -way ANOVA): Effect size. Read the Docs.
http://bitly.ws/mfi9
Neuro Assessment and Development Center. (2021). Neuropsychological assessment. https://bit.ly/3F9hfX4
NeurOn. (2021). Neuropsychology Test. Neuropsychology Online. https://www.neuropsychology.online/
Ortiz, A., & Levine, M. (2021). Operating a university counseling and school psychology training clinic in a global
pandemic. Contemporary School Psychology . Advance onl ine publication . https://doi.org/10.1007/s40688 -021 -
00366 -5
Otter. (2021). Otter for Education [Web and Mobile app]. Otter.ai. https://otter.ai/edu
Pedditzi, M. L., & Spigno , M. (2019). Achievement motivation and regulatory emotional self -efficacy in university students.
In Z. Bekirogullari & M. Y. Minas (Eds.), Proceedings for the 9 th international conference on education & educational
psychology (pp. 503 -513). Future Academ y Publishing Services. https://doi.org/10.15405/epsbs.2019.01.48
Perdue, M. (2021). Technology mediated education delivery: Working Paper - MIT Open Learning Workforce Education
Project. Massachusetts Institute of technology. http://bitly.ws/m27v
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? Critique and
recommendations. Research in Nursing & Health, 29 (5), 489 –497. https://doi.org/10.1002/nur.20147
Quiroz, F., Calle, J., Montoya, P., & Luy -Montejo, C. (2020). Effects of a program for the development of emotional skills in
university student s. International Journal of Early Childhood Special Education, 12 (1), 552 – 564.
https://doi.org/10.9756/int -jecse/v12i1.201037
Rasheed, R. A., Kamsin, A., & Abdullah, N. A. (2020). Challenges in the online component of blended learning: A systematic
review. Computers & Education, 144, 103701. https://doi.org/10.1016/j.compedu.2019.103701
Rodrigues, I. B., Adachi, J. D., Beattie, K. A., & MacDermid, J. C. (2017). Development and validation of a new tool to measure
the facilitators, barriers, and preferences to exercise in people with osteoporosis. BMC Musculoskeletal Disorders
18 (1), 1 –9. https://doi.org/10.1186/s12891 -017 -1914 -5
Shahzad, A., Hassan, R., Aremu, A. Y., Hussain, A., & Lodhi, R. N. (2020). Effects of COVID -19 in E -learning on higher
education institution students: the group comparison between male and female. Qua lity & Quantity, 1–22.
https://doi.org/10.1007/s11135 -020 -01028 -z
Son, C., Hegde, S., Smith, A., Wang, X., & Sasangohar, F. (2020). Effects of COVID -19 on college students ’ mental health in
the United States: Interview Survey Study . Journal of medical Internet research, 22 (9), e21279.
https://doi.org/10.2196/21279
Syed, M., & Nelson, S. (2015). Guidelines for establishing reliab ility when coding narrative data. Emerging Adulthood, 3 (6),
1-13. https://doi.org/10.1177/2167696815587648
Taherdoost, H. (2016). Validity and reliability of the research instrument: How to test th e validation of a
questionnaire/survey in research. International Journal of Academic Research in Management, 5 (3), 28 -36.
https://doi.org/10.2139/ssrn.3205040
Takeuchi, H., Taki, Y., Asano, K., Asano, M., Sassa, Y., Yokota, S., Kotozaki, Y., Nouchi, R., & Kawashima, R. (2018). Impact
of frequency of internet use on the development of brain structures and verbal intelligence: Longitudinal analyses.
Human Brain Ma pping, 39 (11), 4471 –4479. https://doi.org/10.1002/hbm.24286
Zalat, M. M., Hamed, M. S., & Bolbol, S. A. (2021). The experiences, challenges, and acceptance of e -learning as a tool for
teaching during the COVID -19 pandemic among university medical staff. PLoS ONE , 16 (3), e0248758.
https://doi.org/10.1371/journal.pone.0248758
European Journal of Educational Research 693
Appendices
Appendix A. Survey questionnaire on how students perceive their e -learning experiences
(https://forms.gle/jqaMQQWoRU1o9jGx8)
1. Your age _____
2. Your gender _____
3. Are you left or right -handed?
a) left -handed
b) right -handed
4. Have you ever, or are you currently suffering from, had any of the below:
a) hearing problems
b) neurological difficulties
c) movement limitations or mental handicaps
d) none of the above
5. Have you ever been diagnosed with any of the below:
a) learning disability of n eurological nature
b) attention deficit/hyperactivity disorder
c) psychiatric illness
d) none of the above
6. How would you rate your experience with online learning?
a) does not meet my expectations at all
b) somewhat meets my expectations
c) just as I expected
d) better than I expected
7. Do you consider yourself to be a suitable student for e -learning?
a) Yes
b) No
8. Are you certain that you do your best to be successful in e -learning?
a) Yes
b) No
9. How much time do you typically spend on online classes a day?
a) 1 -2 hours
b) 3 -4 hours
c) 5 -6 hours
d) more
10. How much time do you typically spend on home assignments a day?
a) 1 -2 hours
b) 3 -4 hours
c) 5 -6 hours
d) more
11. How do you feel about the assessment?
a) It is fair
b) It lacks transparency and is confusing
c) It is too much strict
d) It is OK for me
12. How often do you worry about your academic performance when you study online?
a) never
b) rarely
c) sometimes
d) often
e) always
13. How often do you feel that you are unable to control your study workload?
a) never
b) rarely
c) sometimes
d) often
e) always
14. How often do you manage meeting deadlines?
a) never
b) rarely 694 VOLOSHYNA ET AL. / Moderating the Neuropsychological Impact of Online Learning
c) sometimes
d) often
e) always
15. How often do you fail to control your irritation during online classes?
a) never
b) rarely
c) sometimes
d) often
e) always
16. How often do you delay the assignments or feel to be in a rush so that they were fulfilled on time?
a) never
b) rarely
c) sometimes
d) often
e) always
17. How stressful has online learning b een for you since the pandemic started?
a) very stressful
b) somewhat stressful
c) neither stressful nor stressless
d) somewhat stressful
e) not stressful at all
18. How easy is it for you to combine ideas from a number of different areas when you study online?
a) not easy at all
b) not easy
c) neither easy nor difficult
d) somewhat easy
e) absolutely easy
19. How quick are you at analysing a complex situation that occurs in your online studies?
a) not quick at all
b) somewhat quick
c) neither quick nor slow
d) somewhat quick
e) super quick
20. How difficult is it for you to concentrate when people talk to you?
a) very difficult
b) somewhat difficult
c) neither difficult nor easy
d) somewhat easy
e) absolutely easy
21. How much are you distracted b y the sights and sounds when you study online?
a) not distracted at all
b) somewhat distracted
c) I am OK
d) somewhat distracted
e) absolutely distracted
22. How often do feel confused and forgetful because you have so many things on your mind when doing the courses
online?
a) never
b) rarely
c) sometimes
d) often
e) always
23. How often do you feel that you make mistakes in online classes because you watch w hat others do and forget about
yourself?
a) never
b) rarely
c) sometimes
d) often
e) always
European Journal of Educational Research 695
Appendix B. Screening form to select students for the EG and CG (can be accessed at: https://forms.gle/erxxcNaiAvkJDmyz9)
By answering the questions below, you provide your consent to participate in the research experiment on the
neuropsychological impact of online learning on Psychology students. In this way, you also provide your agreement to
the research team to process and use your personal information for r esearch purposes. We would be grateful if you
answer each question as accurately as possible.
1. Your age _____
2. Your gender _____
3. Are you left or right -handed?
a) left -handed
b) right -handed
4. Have you ever, or are you currently suffering from, had any of the below:
a) hearing problems
b) neurological difficulties
c) movement limitations or mental handicaps
d) none of the above
5. Have you ever been diagnosed with any of the below:
a) learning disability of neurological nature
b) attention -deficit/hyperactivity disorder
c) psychiatric illness
d) none of the above
