A systematic literature review of online academic student support in higher education
DOI:
https://doi.org/10.24059/olj.v28i2.3954Abstract
COVID-19 led to an increase in the provision of online higher education courses. Online academic student support is often provided to students to assist them in developing the skills and knowledge to successfully complete their course. However, it remains unclear whether online academic student support in higher education is successful, and if so, what makes it successful. This systematic literature review seeks to provide an overview of research on online academic student support in higher education. Out of 5385 initially identified publications from 2013 to 2022, 12 papers were included for review; seven studies were quantitative and five were mixed methods. The synthesis of the findings reported outcomes on students’ improved engagement, access to support and usage patterns, satisfaction, academic performance, motivation, creativity, self-efficacy, retention or course completion, and social benefits. This range creates a challenge for higher education providers who are considering implementing best practice in the provision of online academic student support in higher education due to the diversity of approaches. Future research, that is methodologically strong, is needed to demonstrate the impact of online academic student support detailing how higher education providers can improve the quality, learning outcomes, and retention
References
Albert, S., Fulton, D., Ramanau, R., & Janes, A. (2021). Exploring cross-disciplinary differences in course mode, instructional tools and teaching methods in online courses in business & management. The International Journal of Management Education, 19(3). https://doi.org/10.1016/j.ijme.2021.100532
Ali, A., & Smith, D. (2015). Comparing social isolation effects on students attrition in online versus face-to-face courses in computer literacy. Issues in Informing Science and Information Technology, 12(1), 11-20. https://iisit.org/Vol12/IISITv12p011-020Ali1784.pdf
Aparicio, M., Bacao, F., & Oliveira, T. (2016). An e-learning theoretical framework. Journal of Educational Technology & Society, 19(1), 292-307.
Ardekani, A., Hosseini, S. A., Tabari, P., Rahimian, Z., Feili, A., Amini, M., & Mani, A. (2021). Student support systems for undergraduate medical students during the COVID-19 pandemic: A systematic narrative review of the literature. BMC Medical Education, 21(1), 1-11. https://doi.org/10.1186/s12909-021-02791-9
Bernard, R. M., Abrami, P. C., Borokhovski, E., Wade, C. A., Tamim, R. M., Surkes, M. A., & Bethel, E. C. (2009). A meta-analysis of three types of interaction treatments in distance education. Review of Educational Research, 79(3), 1243-1289. https://doi.org/10.3102/003465430933384
Billett, S., Choy, S., & Hodge, S. (2020). Enhancing the standing of vocational education and the occupations it serves: Australia. Journal of Vocational Education & Training, 72(2), 270-296. https://doi.org/10.1080/13636820.2020.1751247
Bognár, L., Fauszt, T., & Váraljai, M. (2021). The impact of online quizzes on student success. International Journal of Emerging Technologies in Learning (iJET), 16(11), 225-244. https://doi.org/10.3991/ijet.v16i11.21679
Boton, E. C., & Gregory, S. (2015). Minimizing attrition in online degree courses. Journal of Educators Online, 12(1), n1. https://files.eric.ed.gov/fulltext/EJ1051044.pdf
Bozada Jr, T., Borden, J., Workman, J., Del Cid, M., Malinowski, J., & Luechtefeld, T. (2021). SysRev: A FAIR platform for data curation and systematic evidence review. Frontiers in Artificial Intelligence, 105. https://doi.org/10.3389/frai.2021.685298
Canty, A. J., Chase, J., Hingston, M., Greenwood, M., Mainsbridge, C. P., & Skalicky, J. (2020). Addressing student attrition within higher education online programs through a collaborative community of practice. Journal of Applied Learning & Teaching, 3(Sp. Is), 1-12. https://doi.org/10.37074/jalt.2020.3.s1.3
Chen, C., Landa, S., Padilla, A., & Yur-Austin, J. (2021). Learners' experience and needs in online environments: Adopting agility in teaching. Journal of Research in Innovative Teaching & Learning, 14(1). https://doi.org/10.1108/JRIT-11-2020-0073
Critical Appraisal Skills Programme. (2018). CASP Qualitative Research Checklist https://casp-uk.net/wp-content/uploads/2018/01/CASP-Qualitative-Checklist-2018.pdf
Croucher, G., & Locke, W. (2020). A post-coronavirus pandemic world: some possible trends and their implications for Australian Higher Education [Discussion paper]. https://melbourne-cshe.unimelb.edu.au/__data/assets/pdf_file/0010/3371941/a-post-coronavirus-world-for-higher-education_final.pdf
Delnoij, L. E., Dirkx, K. J., Janssen, J. P., & Martens, R. L. (2020). Predicting and resolving non-completion in higher (online) education–A literature review. Educational Research Review, 29, 100313. https://doi.org/10.1016/j.edurev.2020.100313
Dhawan, S. (2020). Online learning: A panacea in the time of COVID-19 crisis. Journal of Educational Technology Systems, 49(1), 5-22. https://doi.org/10.1177/0047239520934
Eaton, G., & Cates, S. (2020). Is utilization of university-sponsored social media associated with increased social integration and retention among online students? An examination of social media as a moderator of student retention. Journal of College Student Retention: Research, Theory & Practice, 0(0), 1-27. https://doi.org/10.1177/1521025120965231
Effective Public Health Practice Project. (2009). Quality assessment tool for quantitative studies. http://www.ephpp.ca/tools.html
Fish, L. A., & Snodgrass, C. R. (2015). Business student perceptions of online versus face-to-face education: Student characteristics. Business Education Innovation Journal, 7(2), 83-96. http://www.beijournal.com/images/V7N2_final.pdf#page=83
García-Morales, V. J., Garrido-Moreno, A., & Martín-Rojas, R. (2021). The transformation of higher education after the COVID disruption: emerging challenges in an online learning scenario. Frontiers in Psychology, 12, 616059. https://doi.org/10.3389/fpsyg.2021.616059
George, A.-J., McEwan, A., & Tarr, J.-A. (2021). Accountability in educational dialogue on attrition rates: Understanding external attrition factors and isolation in online law school. Australasian Journal of Educational Technology, 37(1), 111-132. https://doi.org/10.14742/ajet.6175
Grau-Valldosera, J., Minguillón, J., & Blasco-Moreno, A. (2018). Returning after taking a break in online distance higher education: From intention to effective re-enrollment. Interactive Learning Environments, 27(3), 307-323. https://doi.org/10.1080/10494820.2018.1470986
Gray, J. A., & DiLoreto, M. (2016). The effects of student engagement, student satisfaction, and perceived learning in online learning environments. International Journal of Educational Leadership Preparation, 11(1), n1. https://eric.ed.gov/?id=EJ1103654
Gray, M. A., & Crosta, L. (2019). New perspectives in online doctoral supervision: A systematic literature review. Studies in Continuing Education, 41(2), 173-190. https://doi.org/10.1080/0158037X.2018.1532405
Greenland, S. J., & Moore, C. (2014). Patterns of student enrolment and attrition in Australian open access online education: A preliminary case study. Open Praxis, 6(1), 45-54. https://doi.org/10.5944/openpraxis.6.1.95
Greenland, S. J., & Moore, C. (2022). Large qualitative sample and thematic analysis to redefine student dropout and retention strategy in open online education. British Journal of Educational Technology, 53(3), 647-667. https://doi.org/10.1111/bjet.13173
Gregori, E. B., Zhang, J., Galván-Fernández, C., & de Asís Fernández-Navarro, F. (2018). Learner support in MOOCs: Identifying variables linked to completion. Computers & Education, 122, 153-168. https://doi.org/10.1016/j.compedu.2018.03.014
Gregory, M. S.-J., & Lodge, J. M. (2015). Academic workload: The silent barrier to the implementation of technology-enhanced learning strategies in higher education. Distance Education, 36(2), 210-230. https://doi.org/10.1080/01587919.2015.1055056
Hall, M., & Harvey, B. (2021). Methodological approaches for projecting completion rates for apprentices and trainees. National Centre for Vocational Education Research. https://www.ncver.edu.au/__data/assets/pdf_file/0034/9668401/Methodological_approaches_for_projecting_completion_rates_for_apprentices_and_trainees.pdf
Haydarov, R., Moxley, V., & Anderson, D. (2013). Counting chickens before they are hatched: An examination of student retention, graduation, attrition, and dropout measurement validity in an online master's environment. Journal of College Student Retention: Research, Theory & Practice, 14(4), 429-449. https://doi.org/10.2190/CS.14.4.a
He, H., Zheng, Q., Di, D., & Dong, B. (2019). How learner support services affect student engagement in online learning environments. IEEE Access, 7, 49961-49973. https://doi.org/10.1109/ACCESS.2019.2910589
Higgins, J. P., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2022). Cochrane handbook for systematic reviews of interventions version 6.3 (updated February 2022). Cochrane. https://training.cochrane.org/handbook/current
Hume, S., & Griffin, T. (2021). The online delivery of VET during COVID-19: part 1. National Centre for Vocational Education Research (NCVER). https://files.eric.ed.gov/fulltext/ED615346.pdf
Hume, S., & Griffin, T. (2022). The online delivery of VET during the COVID-19 pandemic: part 2. National Centre for Vocational Education Research (NCVER). https://www.ncver.edu.au/__data/assets/pdf_file/0031/9671053/The_online_delivery_of_VET_during_the_COVID-19_pandemic__part_2.pdf
Jackson, L. C., Jones, S. J., & Rodriguez, R. C. (2010). Faculty actions that result in student satisfaction in online courses. Journal of Asynchronous Learning Networks, 14(4), 78-96. https://files.eric.ed.gov/fulltext/EJ909918.pdf
Jaggars, S. S., & Xu, D. (2016). How do online course design features influence student performance? Computers & Education, 95, 270-284. https://doi.org/10.1016/j.compedu.2016.01.014
Joyner, D. A., Wang, Q., Thakare, S., Jing, S., Goel, A., & MacIntyre, B. (2020, August 12-14). The synchronicity paradox in online education [Conference paper]. The 7th ACM Conference on Learning@ Scale, Virtual Event, United States. https://dl.acm.org/doi/pdf/10.1145/3386527.3405922
Kaufmann, R., & Vallade, J. I. (2020). Exploring connections in the online learning environment: student perceptions of rapport, climate, and loneliness. Interactive Learning Environments, 1-15. https://doi.org/10.1080/10494820.2020.1749670
Kember, D., Leung, D., & Prosser, M. (2021). Has the open door become a revolving door? The impact on attrition of moving from elite to mass higher education. Studies in Higher Education, 46(2), 258-269. https://doi.org/10.1080/03075079.2019.1629411
Kember, D., Trimble, A., & Fan, S. (2023). An investigation of the forms of support needed to promote the retention and success of online students. American Journal of Distance Education, 37(3), 169-184.
Kim, Y., & Thayne, J. (2015). Effects of learner–instructor relationship-building strategies in online video instruction. Distance Education, 36(1), 100-114. https://doi.org/10.1080/01587919.2015.1019965
Knobbout, J., & Van Der Stappen, E. (2020). Where is the learning in learning analytics? A systematic literature review on the operationalization of learning-related constructs in the evaluation of learning analytics interventions. IEEE Transactions on Learning Technologies, 13(3), 631-645. https://doi.org/10.1109/TLT.2020.2999970
Lee, K., Fanguy, M., Bligh, B., & Lu, X. S. (2022). Adoption of online teaching during the COVID-19 pandemic: A systematic analysis of changes in university teaching activity. Educational Review, 1-24. https://doi.org/10.1080/00131911.2021.1978401
Li, K. C., & Wong, B. T.-M. (2019). Factors related to student persistence in open universities: Changes over the years. International Review of Research in Open and Distributed Learning, 20(4), 132-151. https://doi.org/10.19173/irrodl.v20i4.4103
Lockee, B. B. (2021). Online education in the post-COVID era. Nature Electronics, 4(1), 5-6. https://doi.org/10.1038/s41928-020-00534-0
Luo, T., Shah, S. J., & Cromptom, H. (2019). Using Twitter to support reflective learning in an asynchronous online course. Australasian Journal of Educational Technology, 35(3). https://doi.org/10.14742/ajet.4124
Martin, L. (2020). Foundations for good practice: the student experience of online learning in Australian higher education during the COVID-19 pandemic. https://files.eric.ed.gov/fulltext/ED610395.pdf
McLaughlin, C. J., & Sillence, E. (2023). Buffering against academic loneliness: The benefits of social media-based peer support during postgraduate study. Active Learning in Higher Education, 24(1), 63-76. https://doi.org/10.1177/1469787418799185
Methley, A. M., Campbell, S., Chew-Graham, C., McNally, R., & Cheraghi-Sohi, S. (2014). PICO, PICOS and SPIDER: A comparison study of specificity and sensitivity in three search tools for qualitative systematic reviews. BMC health services research, 14(1), 1-10. https://doi.org/10.1186/s12913-014-0579-0
Morris, N. P., Ivancheva, M., Coop, T., Mogliacci, R., & Swinnerton, B. (2020). Negotiating growth of online education in higher education. International Journal of Educational Technology in Higher Education, 17(48), 1–16. https://doi.org/10.1186/s41239-020-00227-w
Moore, C., & Greenland, S. (2017). Employment-driven online student attrition and the assessment policy divide: An Australian open-access higher education perspective. Journal of Open, Flexible and Distance Learning, 21(1), 52-62. https://files.eric.ed.gov/fulltext/EJ1148193.pdf
Morris, T. H., & König, P. D. (2020). Self-directed experiential learning to meet ever-changing entrepreneurship demands. Education + Training, 63(1), 23-49. https://doi.org/10.1108/ET-09-2019-0209
Muljana, P. S., & Luo, T. (2019). Factors contributing to student retention in online learning and recommended strategies for improvement: A systematic literature review. Journal of Information Technology Education: Research, 18, 19-57. https://doi.org/10.28945/4182
Mulyono, H., Suryoputro, G., & Jamil, S. R. (2021). The application of WhatsApp to support online learning during the COVID-19 pandemic in Indonesia. Heliyon, 7(8), e07853. https://doi.org/10.1016/j.heliyon.2021.e07853
Nieuwoudt, J. E. (2020). Investigating synchronous and asynchronous class attendance as predictors of academic success in online education. Australasian Journal of Educational Technology, 36(3), 15-25. https://doi.org/10.14742/ajet.5137
Oluwafolakemi, G. A., Hongtao, Y., & Ayodeji, A. A. (2021). Leveraging integrated peer-assisted learning clusters as a support for online learning. Interactive Learning Environments, 1-13. https://doi.org/10.1080/10494820.2021.1943454
Oregon, E., McCoy, L., & Carmon-Johnson, L. (2018). Case analysis: Exploring the application of using rich media technologies and social presence to decrease attrition in an online graduate program. Journal of Educators Online, 15(2), n2. https://files.eric.ed.gov/fulltext/EJ1186019.pdf
Organisation for Economic Co-operation and Development. (2020). The potential of online learning for adults: Early lessons from the COVID-19 crisis. OECD Publishing. https://www.voced.edu.au/content/ngv:87762
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., & Brennan, S. E. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906. https://doi.org/10.1016/j.jclinepi.2021.03.001
Park, S., & Robinson, P. A. (2021). The effect of online academic coaches on supporting graduate students’ performance in intensive online learning environments: A three-course comparison. European Journal of Training and Development. https://doi.org/10.1108/EJTD-10-2020-0144
Patterson, B., & McFadden, C. (2009). Attrition in online and campus degree programs. Online Journal of Distance Learning Administration, 12(2), 1-8. https://ojdla.com/archive/summer122/patterson112.pdf
Pélissier, C. (2019). Learner support in online learning environments. John Wiley & Sons.
Richardson, J. T. E. (2016). Face-to-face versus online tutorial support in distance education: Preference, performance, and pass rates in students with disabilities. Journal of Postsecondary Education and Disability, 29(1), 83-90. https://files.eric.ed.gov/fulltext/EJ1107475.pdf
Roddy, C., Amiet, D. L., Chung, J., Holt, C., Shaw, L., McKenzie, S., Garivaldis, F., Lodge, J. M., & Mundy, M. E. (2017). Applying best practice online learning, teaching, and support to intensive online environments: An integrative review. Frontiers in Education, 2:59. https://doi.org/10.3389/feduc.2017.00059
Rotar, O. (2022). Online student support: A framework for embedding support interventions into the online learning cycle. Research and Practice in Technology Enhanced Learning, 17(1), 1-23. https://doi.org/10.1186/s41039-021-00178-4
Simpson, O. (2012). Supporting students for success in online and distance education (3 ed.). Taylor & Francis Group.
Sønderlund, A. L., Hughes, E., & Smith, J. (2019). The efficacy of learning analytics interventions in higher education: A systematic review. British Journal of Educational Technology, 50(5), 2594-2618. https://doi.org/10.1111/bjet.12720
Tan, K. H., Chan, P. P., & Mohd Said, N. (2021). Higher education students’ online instruction perceptions: A quality virtual learning environment. Sustainability, 13(19), 10840, 1-24. https://doi.org/10.3390/su131910840
Thistoll, T., & Yates, A. (2016). Improving course completions in distance education: An institutional case study. Distance Education, 37(2), 180-195. https://doi.org/10.1080/01587919.2016.1184398
Trespalacios, J., Uribe-Flórez, L., Lowenthal, P. R., Lowe, S., & Jensen, S. (2021). Students’ perceptions of institutional services and online learning self-efficacy. American Journal of Distance Education, 1-15. https://doi.org/10.1080/08923647.2021.1956836
Ulla, M. B., & Perales, W. F. (2021). Facebook as an integrated online learning support application during the COVID19 pandemic: Thai university students’ experiences and perspectives. Heliyon, 7(11), e08317. https://doi.org/10.1016/j.heliyon.2021.e08317
van Wyk, M. M. (2020). Academic support under COVID-19 lockdown: What students think of online support e-tools in an ODeL course. Interactive Technology and Smart Education. https://doi.org/10.1108/ITSE-08-2020-0121
Walsh, C., Mital, A., Ratcliff, M., Yap, A., & Jamaleddine, Z. (2020). A public-private partnership to transform online education through high levels of academic student support. Australasian Journal of Educational Technology, 36(5), 30-45.
Walters-Archie, A. (2017). Academic support for online students in the English-speaking Caribbean at the University of the West Indies Open Campus. Journal of Further and Higher Education, 42(6), 868-878. https://doi.org/10.1080/0309877X.2017.1332353
Wang, W., Guo, L., He, L., & Wu, Y. J. (2019). Effects of social-interactive engagement on the dropout ratio in online learning: Insights from MOOC. Behaviour & Information Technology, 38(6), 621-636. https://doi.org/10.1080/0144929X.2018.1549595
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1-27. https://doi.org/10.1186/s41239-019-0171-
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