Digital Transformation and Mental Health in Higher Learning
Institutions
Sumaya M. Kagoya
1
and Kezia H. Mkwizu
2
1
Makerere University Business School, Kampala, Uganda
2
The Open University of Tanzania, Tanzania
Keywords: Digital Transformation, Mental Health, Higher Learning Institutions.
Abstract: Mental health is one of the neglected aspects in workplaces during planning and policy formulation which
affects job performance. This study, aimed at examining digital transformation and mental health at higher
learning institutions in African nations like Uganda. The specific objective was to examine the use of digital
transformation in managing the alarming mental health snags at higher learning institutions like Uganda and
suggest possible remedies. A literature review method with an integrative literature technique was used with
content analysis as research approaches to study public universities in Uganda and Tanzania. The results
revealed that mental health issues are mainly depression due to economic crisis (economic factors), stress
from the Coronavirus Disease 2019 (COVID-19) effects, anxieties, and low access to counselling services.
This study has implications and suggested the use of digital transformation to address the mentioned trials
of mental health among other recommendations.
1 INTRODUCTION
Higher Learning Institutions (HLIs) were highly
disrupted in the wake of the Coronavirus Disease
2019 (COVID-19) global pandemic. A plethora of
articles have documented the disruption of the
COVID-19 pandemic on HLIs and these include
Ardy (2022), and Garcha et al. (2021). The study by
Mphahlele et al. (2022) revealed that there were
severe inequalities in the higher education for
students learning during the COVID-19 pandemic in
the Southern Africa in terms of digital access.
Apart from digital access inequalities, Rha and Lee
(2022) added that digital transformation is an important
research topic because of the services sector. Due to its
importance in research, this study was motivated to
examine digital transformation in the service sector by
considering HLIs which offer education services to
students. During the COVID-19 pandemic, HLIs were
closed and forced to go digital causing mental issues
among students. For examples.
Son et al. (2020) conducted in the USA showed
college students in a public university had mental
health related to stress and anxiety (71%), fear and
worry (91%), sleeping patterns were disrupted
(86%) and concerns about their academic
performance (82%). Similarly, in the UK, the mental
health among female students was high in terms of
depression and anxiety (Chen & Lucock, 2022).
Although Africa was the least affected continent
from the pandemic, restrictions such as closing HLIs
were implemented thus more research is needed to
avail information on the status of students in HLIs
regarding their mental health. This paper therefore,
examined digital transformation and mental health in
HEIs. Guided by psychodynamic theory, the specific
objective was to examine the use of digital
transformation in managing the alarming mental
health snags at HLIs by comparing Uganda and
Tanzania. The research question was “Is digital
transformation used in managing the alarming
mental health snags at HLIs?
2 LITERATURE REVIEW
2.1 Definition of Concepts
2.1.1 Higher Learning Institutions
Higher Learning Institutions (HLIs) are referred to
as knowledge-based organizations which generate,
acquire and transfer knowledge to society at
22
Kagoya, S. and Mkwizu, K.
Digital Transformation and Mental Health in Higher Learning Institutions.
DOI: 10.5220/0011601400003581
In Proceedings of the 2nd International Conference on Finance, Information Technology and Management (ICFITM 2022), pages 22-26
ISBN: 978-989-758-628-6
Copyright
c
2023 by SCITEPRESS Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
different levels (Kipesha & Msigwa, 2013;
Wetengere, 2016). Equally, higher education in
general has institutions with prominent universities
performing functions of education, research and
contributing to the society (Alemu, 2018; JICA,
2000). This paper adopts the definition of HLIs by
Kipesha and Msigwa (2013).
2.1.2 Mental Health
The mental health generally means the health of
one’s physical, social and spiritual status
(Universities UK, 2015). Nurunnabi et al. (2022)
added that students faced with mental health such as
stress and depression lack engagement and
productivity to fully contribute to the society. In this
paper, mental health refers to the constraints on
students’ health induced by COVID-19 pandemic.
2.1.3 Digital Transformation
Digital transformation has been described as guiding
changes in organizational structures via the internal
process evolution (Kretschmer & Khashabi, 2020).
The changes in a company business model, product
or organizational structure brought by the use digital
technologies is defined as digital transformation
(Hess et al., 2016). However, Nadkarnin and Prugil
(2020) stated that digital transformation requires
technology and people. This paper refers to digital
transformation as the use of digital technologies in
assisting HLIs.
2.2 Theoretical Frame
The psychodynamic theory was developed by
Sigmund Freud in 1885 which assumes that
psychological processes like fear take place outside
the conscious awareness (Bornstein, 2022). From a
COVID-19 pandemic perspective, Son et al. (2020)
found that college students’ mental health was
related to fear.
Furthermore, the psychodynamic theory is also
linked to understanding the individual behaviour.
For instance, Conversano (2021) commented that
psychodynamic approach views human behaviour
from an unconscious motive which influences how
their personality functions. In fact, Conversano
(2021) noted that psychodynamic theories can offer
contribution in studying unconscious processes
related to mental distress.
Not only mental distress but in the COVID-19
pandemic as evidenced in studies such as Lee et al.
(2021) there was depression among college students
due to closures of HLIs. Hence, the application of
the psychodynamic theory in guiding this paper’s
examining of digital transformation and mental health in
HLIs in the context of Uganda and Tanzania.
2.3 Digital Transformation and Mental
Health in HLIs
Globally, Verhoef et al. (2021) expressed that there
are factors driving the use of digital transformation
and these are adoption of World Wide Web, new
digital technologies and the consumers’ behaviour
towards digital revolution. However, the COVID-19
pandemic disrupted HLIs and forced many to go
online to provide education and ultimately increased
the drive in the use of digital technologies.
In Africa, Faturoti (2022) argued that most countries
within the continent were not prepared for
emergency shift to online learning in reference to the
education system. Grajeck (2021) also advocated for
engagement of digital transformation by higher
education in creating the post-COVID-19
institutions. Hence, this paper was interested in
expanding the scope of digital transformation by
examining digital transformation and mental health
in HLIs by comparing Uganda and Tanzania which
are countries located in East Africa.
2.3.1 Digital Transformation and Mental
Health in HLIs in Uganda
Uganda closed HLIs due to the pandemic
(Nawangwe et al., 2022). Other studies from African
countries such as Mphahlele et al. (2022) revealed
that there were digital access problems during the
pandemic in higher education and therefore, to
expand the scope of study, this paper focused on
digital transformation and mental health.
Rawlings et al. (2022) used a web-based survey
and found that students in Uganda engaged in
behaviours such as drinking alcohol, smoking and
taking drugs as psychological outcomes of the
COVID-19. Rawlings and others acknowledged that
there are few studies examining students’ well-being
and health from the impact of the lockdown due to
COVID-19. There is existing literature on digital
transformation and also students’ mental health in
HLIs for Uganda and this paper has compiled and
summarized some of the articles in Table 1 which
include studies by Kaggwa et al. (2022) and Najiuka
et al. (2021).
Digital Transformation and Mental Health in Higher Learning Institutions
23
Table 1: Digital transformation and mental health in HLIs
of Uganda.
Source Digital transformation
Rawlings et
al. (2022)
-Majority of those students who studied
online did not enjoy the experience
Nawangwe
et al. (2021)
-The Makerere University Research and
Innovation Fund (MAK-RIF) was active
due to government support which paid
staff salaries and provided internet
accessibility
-Over 80% of academic programs are not
visible on the virtual space
-Lack of electricit
y
Makerere
University
(2020)
-Makerere University had almost 40% of
its academic program online during the
pandemic
Kagoya
(2020)
-inadequate e-readiness and e-
participation. Recommended for initial
and continuous professional training of
students
Source Mental Health findings
Kaggwa et
al. 2022
-Effects are depression/suicidal ideation
-Financial tuition constraints
Najjuka et
al.
(
2021
)
-Depression, anxiety, and stress
Rawlings et
al. (2022)
-Depression, frustration, stress, anxiety,
less physically active, spent more time
on social media, eating, sleeping and
watching movies
2.3.2 Digital Transformation and Mental
Health in HLIs in Tanzania
Closure of HLIs happened in the country but
Tanzania was the first country in East Africa to re-
open its educational institutions (Manyengo, 2021).
The use of digital technologies from the traditional
ways of learning to digital was a huge
transformation to ensure that there is access to
education (Manyengo, 2021). Although digital
transformation studies exist, there are few looking at
digital transformation and mental health in HLIs in
Tanzania. Therefore, in expanding the scope of
digital transformation, this paper examined digital
transformation and mental health in HLIs in the
context of Tanzania in comparison to Uganda.
Innocent and Masue (2020) applied quantitative
and qualitative methods and noted that the use of e-
learning has made it possible for rural areas in
Tanzania to access education. However, Innocent
and Masue (2020) commented that there is
inadequate application of e-learning even though e-
learning services such as online teaching (95.2%)
and online tests (85%) are available for students and
this is due to challenges like power cuts, insufficient
internet connectivity and operating costs of internet
services. The existing studies (Mtebe et al. 2021;
Mponela & Mkulu, 2021) on digital transformation
and mental health in HLIs are compiled and
summarized in Table 2. Although mental health
studies exist in Tanzania, most have concentrated on
adults, for example, Ivanova et al. (2022). Few
studies focused on students like Losioki and Hemed
(2021).
Table 2: Digital transformation and mental health in HLIs
of Tanzania.
Source Digital transformation
Mtebe et al.
(2021)
-Moodle system and Zoom video
conference were recommended for
delivery of courses
Innocent and
Masue (2020)
-Inadequate application of e-learning in
HLIs, challenges like power cuts
Manyengo
(2021)
-Lessons were transmitted via TV,
radio and YouTube.
Mponela and
Mkulu (2021)
- majority of HLIs are not prepared for
the use of e-learning in post-covid-19
-recommended for institutional policy,
and the government to formulate e-
learning policy to facilitate the use of
e-learning in HLIs
Mkwizu (2022)
-need for Artificial Intelligence (AI)
technologies usage to advance higher
education services
Source Mental Health findings
Losioki and
Hemed (2021)
-fear, anxiety, depression, low access to
counselling services
3 METHODS
The study applied literature review method as a
research methodology with content analysis to
examine digital transformation and mental health in
HLIs in Uganda and Tanzania. The literature review
method used the integrative review to gather
relevant literature on digital transformation and
mental health while content analysis assisted to
analyse the text from the reviewed literature. Similar
studies in the field of tourism have applied the
approaches of literature review method and content
analysis, for instance, the study by Mkwizu (2020).
4 FINDINGS AND DISCUSSION
Findings based on Table 1 and Table 2 revealed that
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the digital transformation used in managing the
alarming mental health snags (depression, stress,
anxiety, fear) at HLIs need improvements for both
countries. In Uganda, MAK-RIF and MAK was the
notable digital transformation readiness with almost
40% online program although many HLIs did not
have this strategy in place as indicated by Makerere
University (2020). However, Rawlings et al. (2022)
stated that students in HLIs did not enjoy studying
via online and this could explain their sense of
depression and anxiety which complements the
guidance of the psychodynamic theory in this paper
particularly the findings by Rawlings et al. (2022) on
students’ behaviours like drinking alcohol as among
the psychological outcomes of the COVID-19.
On the other hand, Tanzania’s efforts in using
digital technologies such as Moodle system and
Zoom in HLIs is acknowledged but challenges
included cost of operating internet services are
outlined by Innocent and Masue (2020). Although
recommendations by past scholars included policy
formulation by institutions and the government for
digital transformation, another challenge noted by
Mponela and Mkulu (2021) was the issue of most
HLIs not being prepared to use e-learning in the
post-COVID-19 pandemic. The findings revealed
very few studies on mental health on students in
Tanzania. The existing few studies found mental
health infliction on students like depression, anxiety
and stress as noted by
Losioki and Hemed (2021)
which complement the application of
psychodynamic theory in guiding this study in the
context of comparing Tanzania and Uganda.
5 CONCLUSIONS
This study examined digital transformation and
mental health at HLIs in Africa nations like Uganda
and Tanzania. The specific objective was to examine
the use of digital transformation in managing the
alarming mental health snags at HLIs. The findings
revealed that mental health issues are mainly
depression due to economic crisis (economic
factors), stress from the COVID-19 pandemic
effects, anxieties, and low access to counselling
services.
5.1 Implications
This study’s implication is for policy makers and
HLIs stakeholders in Uganda and Tanzania to be
vigilant and consider the factors affecting mental
health among students. But also consider the
recommendations availed in this paper. Similarly,
policy makers and HLIs stakeholders should fully
embrace and incorporate up to date digital
transformation education tools in the education
system in HLIs as supported by prior researchers
(Grajek, 2021; Kagoya, 2020; Mkwizu, 2022).
Implication for academic is that this study
contributes as a foundation for empirical literature
and methods for future researchers.
5.2 Recommendations
Both countries should aim to minimize the
challenges faced in the digital transformation in
HLIs such as increasing the visibility of academic
programs in virtual spaces and reduce costs of
operating internet services. Managing mental health
of students through policy formation and access to
counselling services.
5.3 Limitations and Direction for
Further Studies
This paper was limited to examining digital
transformation in managing the alarming mental
health snags in HLIs (public universities) in Uganda
and Tanzania. The study was limited to literature
review method as a research methodology with
application of content analysis. Future researchers
can use mixed methods to compare findings to get
similarities and differences.
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