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Mitigating Depression, Anxiety, and Stress among Undergraduate Students through Online Learning Satisfaction

Published: 12 January 2023 Publication History

Abstract

While online learning became the face of education in Higher Education Institutions (HEIs) in the Philippines, not all schools were prepared to immediately transition to online learning. A recent study by Fawaz and Samaha (2021) shown that undergraduate students in Lebanon experienced depression and anxiety due to the workload experienced from moving to full online learning. With the difficulties faced by tertiary students, this study builds on the recent work of Ali and Ahmad (2011) that explores how student satisfaction in online learning courses can mitigate depression, anxiety, and stress. Students-Instructor Satisfaction, Instructor's Performance, Course Evaluation, Student Autonomy, Authentic Learning, and Personal Relevance were the constructs used in the study that have been previously investigated to aid student satisfaction in online learning. To determine Depression, Anxiety, and Stress (DAS), the DASS21 scale was used. Through convenience sampling, ninety (90) college students from various universities in the Philippines answered the survey through Google Forms. Descriptive statistics have revealed that the students suffered from moderate depression, anxiety and mild stress. For their online learning satisfaction, descriptive statistics show agreement in terms of satisfaction. This implies that while students experience some online learning satisfaction, students suffer from DAS. Looking at how satisfaction can affect DAS, regression shows that online learning satisfaction can help reduce stress. However, for anxiety, it failed to reach statistical significance. While the study does not necessarily imply that online learning satisfaction is the only factor for DAS, this simple revealed a possible relationship between online learning satisfaction and DAS. Possible implication includes managerial decision-making that would help students who suffer or have difficulty with online learning. Only by addressing online learning issues can help improve students' online learning satisfaction.
CCS CONCEPTS • Human-centered computing • Collaborative and social computing • Empirical studies in collaborative and social computing

References

[1]
Afzaal Ali and Israr Ahmad. 2011. Key Factors for Determining Students' Satisfaction in Distance Learning Courses: A Study of Allama Iqbal Open University.
[2]
Rowalt Alibudbud. 2021. On online learning and mental health during the COVID-19 pandemic: Perspectives from the Philippines. Asian Journal of Psychiatry 66, (December 2021), 102867.
[3]
Mais Al-Nasa'h, Luae’ Al-Tarawneh, Ferial M. Abu Awwad, and Ikhlas Ahmad. 2021. Estimating students' online learning satisfaction during COVID-19: A discriminant analysis. Heliyon 7, 12 (December 2021), e08544.
[4]
Rosó Baltà-Salvador, Noelia Olmedo-Torre, Marta Peña, and Ana Inés Renta-Davids. 2021. Academic and emotional effects of online learning during the COVID-19 pandemic on engineering students. Education and Information Technologies 26, 6 (November 2021), 7407–7434.
[5]
Dr. Deepti Deshpande and Chandrakala Kaluram Mhatre. 2021. A Study of Impact of Online Education on Mental Health and Academic Performance of Children of Project Affected People Studying at Undergraduate Level in Navi Mumbai. Revista Gestão Inovação e Tecnologias 11, 4 (2021), 3866–3875.
[6]
Timon Elmer, Kieran Mepham, and Christoph Stadtfeld. 2020. Students under lockdown: Comparisons of students' social networks and mental health before and during the COVID-19 crisis in Switzerland. PLOS ONE 15, 7 (July 2020), e0236337.
[7]
Bernie S. Fabito, Ramon L. Rodriguez, and Susan S. Caluya. 2021. Predicting the behavioral intention (BI) of one private higher education institution (HEI) in the Philippines to use M-learning. Proceedings - 2021 4th International Conference on Information and Computer Technologies, ICICT 2021 (March 2021), 222–225.
[8]
Bernie S. Fabito, Arlene O. Trillanes, and Jeshnile R. Sarmiento. 2020. Barriers and Challenges of Computing Students in an Online Learning Environment: Insights from One Private University in the Philippines. International Journal of Computing Sciences Research 5, 1 (November 2020), 441–458.
[9]
Ligia Maria, Christian Murphy, Rita Zhen Chen, Marcos Goncalves De Santana, and Giselle Soares Passos. 2020. The prevalence of anxiety and depression symptoms among brazilian computer science students. Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE (February 2020), 316–322.
[10]
Megan M Mcclure. Investigating Students' Satisfaction with eLearning Courses: The Effect of Learning Environment and Social Presence. Journal of Agricultural Education 53, 3, 98–110.
[11]
Enrique Ramón-Arbués, Vicente Gea-Caballero, José Manuel Granada-López, Raúl Juárez-Vela, Begoña Pellicer-García, and Isabel Antón-Solanas. 2020. The prevalence of depression, anxiety and stress and their associated factors in college students. International Journal of Environmental Research and Public Health 17, 19 (October 2020), 1–15.
[12]
E E Rotas and M B Cahapay. Asian Journal of Distance Education.
[13]
Avijit Saha, Arpita Dutta, and Ridwan Islam Sifat. 2021. The mental impact of digital divide due to COVID-19 pandemic induced emergency online learning at undergraduate level: Evidence from undergraduate students from Dhaka City. Journal of Affective Disorders 294, (November 2021), 170–179.
[14]
Ren VanderLind. 2017. Effects of Mental Health on Student Learning. Learning Assistance Review 22, 2 (2017), 39–58.
[15]
What Are Anxiety Disorders? Retrieved March 1, 2022 from https://www.psychiatry.org/patients-families/anxiety-disorders/what-are-anxiety-disorders
[16]
What is the difference between Depression, Stress and Anxiety? – Psychology on Parade. Retrieved March 27, 2022 from https://psychologyonparade.com.au/what-is-the-difference-between-depression-stress-and-anxiety/
[17]
Depression Anxiety and Stress Scale 21 (DASS-21) – Healthfocus Clinical Psychology Services. Retrieved March 27, 2022 from https://www.healthfocuspsychology.com.au/tools/dass-21/
[18]
Naciye Aynas and Mecit Aslan. 2021. The Effects of Authentic Learning Practices on Problem-Solving Skills and Attitude towards Science Courses. 8, 1 (2021), 146–161.
[19]
Anežka Kuzmičová and Katalin Bálint. 2019. Personal Relevance in Story ReadingA Research Review. Poet. Today 40, 3 (September 2019), 429–451.
[20]
Aggeliki Fotiadou, Christina Angelaki, and Ilias Mavroidis. 2017. Learner Autonomy as a Factor of the Learning Process in Distance Education Aggeliki Fotiadou LEARNER AUTONOMY AS A FACTOR OF THE LEARNING PROCESS IN DISTANCE EDUCATION. Eur. J. Open, Distance e‐Learning 20, 1 (2017), 97–111. Retrieved March 31, 2022 from https://content.sciendo.com/view/journals/eurodl/20/1/article-p96.xml
[21]
Sister Mary Rose O.P. 2017. What are Some Key Attributes of Effective Online Teachers? J. Open, Flexible, Distance Learn. (2017), 32–48.
[22]
Md Akhtarul Islam, Sutapa Dey Barna, Hasin Raihan, Md Nafiul Alam Khan, and Md Tanvir Hossain. 2020. Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PLoS One 15, 8 (August 2020), e0238162.
[23]
Mirna Fawaz and Ali Samaha. 2021. E-learning: Depression, anxiety, and stress symptomatology among Lebanese university students during COVID-19 quarantine. Nurs. Forum 56, 1 (January 2021), 52–57.
[24]
Nour Mheidly, Mohamad Y. Fares, and Jawad Fares. 2020. Coping With Stress and Burnout Associated With Telecommunication and Online Learning. Front. Public Heal. 8, (November 2020), 574969.
[25]
Chang, W., Zhang, L., Wen, L., Su, H. and Jin, Y., 2021. Association Between Online Self-Directed Learning Ability and Negative Emotions Among College Students During the COVID-19 Pandemic: A Cross-Sectional Study in Anhui Province, East China. Frontiers in Psychology, 12.

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          cover image ACM Other conferences
          ICDTE '22: Proceedings of the 6th International Conference on Digital Technology in Education
          September 2022
          440 pages
          ISBN:9781450398091
          DOI:10.1145/3568739
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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          Publication History

          Published: 12 January 2023

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          Author Tags

          1. Anxiety
          2. Authentic learning
          3. Course Evaluation
          4. Depression
          5. Instructor's Performance
          6. Personal Relevance
          7. Student Autonomy
          8. and Stress
          9. student-instructor Interaction

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          • National University Research Center - Manila, Philippines

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