Exploring the use and impact of online digital resources in a mathematics module

Violeta Morari 1 * , Catherine Palmer 1, Clodagh Carroll 1, Declan Manning 1, Shane O’Rourke 1
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1 Department of Mathematics, Munster Technological University, Cork, IRELAND
* Corresponding Author
EUR J SCI MATH ED, Volume 12, Issue 3, pp. 335-355. https://doi.org/10.30935/scimath/14605
Published Online: 10 May 2024, Published: 01 July 2024
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ABSTRACT

This study examines the relationship between student engagement with digital resources and final module grade in a particular mathematics module delivered online in an Irish technological university. Measures of student engagement with the module are defined and calculated using data from virtual learning environment. These measures are analyzed to provide a description of students’ online study habits. We make an initial distinction between resources provided by the lecturer that are lecture-based or exam-focused. We further categorize student engagement with these resources as active or passive and consider these measures of student engagement in an online context. With these categories and measures in mind, we then examine the correlation between student engagement and final module grade using a multivariable linear regression model.

CITATION

Morari, V., Palmer, C., Carroll, C., Manning, D., & O’Rourke, S. (2024). Exploring the use and impact of online digital resources in a mathematics module. European Journal of Science and Mathematics Education, 12(3), 335-355. https://doi.org/10.30935/scimath/14605

REFERENCES

  • Adanir, G. A., Muhametjanova, G., Celikbag, M. A., Omuraliev, A., & Ismailova, R. (2020). Learners’ preferences for online resources, activities, and communication tools: A comparative study of Turkey and Kyrgyzstan. E-Learning and Digital Media, 17(2), 148-166. https://doi.org/10.1177/2042753019899713
  • Ahshan, R. (2021). A framework of implementing strategies for active student engagement in remote/online teaching and learning during the COVID-19 pandemic. Education Sciences, 11(9), 483. https://doi.org/10.3390/educsci11090483
  • Alyahyan, E., & Dustegor, D. (2020). Predicting academic success in higher education: Literature review and best practices. International Journal of Educational Technology in Higher Education, 17, 3. https://doi.org/10.1186/s41239-020-0177-7
  • Appleton, J. J., Christenson, S. L., & Furlong, M. J. (2008). Student engagement with school: Critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369-386. https://doi.org/10.1002/pits.20303
  • Appleton, J. J., Christenson, S. L., Kim, D., & Reschly, A. L. (2006). Measuring cognitive and psychological engagement: Validation of the student engagement instrument. Journal of School Psychology, 44(2006), 247-455. https://doi.org/10.1016/j.jsp.2006.04.002
  • Argyriou, P., Benamar, K., & Nikolajeva, M. (2022). What to blend? Exploring the relationship between student engagement and academic achievement via a blended learning approach. Psychology Learning and Teaching, 21(2), 126-137. https://doi/pdf/10.1177/14757257221091512
  • Baloran, E. T., & Hernan, J. T. (2021). Course satisfaction and student engagement in online learning amid COVID-19 pandemic: A structural equation model. Turkish Online Journal of Distance Education, 22(4), 1-12. https://doi.org/10.17718/tojde.1002721
  • Bao, W. (2020). COVID-19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies, 2(2), 113-115. https://doi.org/10.1002/hbe2.191
  • Boulton C. A., Hughes E., Kent C., Smith J. R, & Williams H. T. P. (2019) Student engagement and wellbeing over time at a higher education institution. PLoS ONE, 14(11), e0225770. https://doi.org/10.1371/journal.pone.0225770
  • Boulton, C. A., Kent, C., & Williams, H. T. (2018). Virtual learning environment engagement and learning outcomes at a ‘bricks-and-mortar’ university. Computers & Education, 126, 129-142. https://doi.org/10.1016/j.compedu.2018.06.031
  • Braun, B., Bremser, P., Duval, A. M., Lockwood, E., & White, D. (2018). What does active learning mean for mathematicians. The Best Writing on Mathematics, 64(2), 169-178. https://doi.org/10.1090/noti1472
  • Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies & academic achievement in online higher education learning environments: A systematic review. The Internet and Higher Education, 27, 1-13. https://doi.org/10.1016/j.iheduc.2015.04.007
  • Carini, R. M., Kuh, G. D., & Klein, S. P. (2006). Student engagement and student learning: Testing the linkages. Research in Higher Education, 47, 1-32. https://doi.org/10.1007/s11162-005-8150-9
  • Chiu, T. K. F. (2022). Applying the self-determination theory (SDT) to explain student engagement in online learning during the COVID-19 pandemic. Journal of Research on Technology in Education, 54(Sup1), S14-S30. https://doi.org/10.1080/15391523.2021.1891998
  • Cocea, M., & Weibelzahl, S. (2011). Disengagement detection in online learning: Vlidation studies and perspectives. IEEE Transactions on Learning Technologies, 4, 114e124. https://doi.org/10.1109/TLT.2010.14
  • Cross, S., Whitelock, D., & Mittelmeier, J. (2016). Does the quality and quantity of exam revision impact on student satisfaction and performance in the exam itself?: Perspectives from undergraduate distance learners. In Proceedings of the 8th International Conference on Education and New Learning Technologies (pp. 5052-5061). IATED. https://doi.org/10.21125/edulearn.2016.2197
  • Dembereldorj, Z. (2021). Exploring online student engagement during COVID-19 pandemic in Mongolia. International Journal of Higher Education, 10(7), 10-18. https://doi.org/10.5430/IJHE.V10N7P10
  • Derr, K., Hübl, R., & Ahmed, M. Z. (2018). Prior knowledge in mathematics and study success in engineering: Informational value of learner data collected from a web-based pre-course. European Journal of Engineering Education, 43(6), 911-926. https://doi.org/10.1080/03043797.2018.1462765
  • Dewhurst, D. G., MacLeod, H. A., & Norris, T. A. (2000). Independent student learning aided by computers: An acceptable alternative to lectures? Computers & Education, 35(3), 223-241. https://doi.org/10.1016/S0360-1315(00)00033-6
  • Dixson, M. D. (2015). Measuring student engagement in the online course: The online student engagement scale (OSE). Online Learning, 19(4), n4. https://doi.org/10.24059/OLJ.V19I4.561
  • Faulkner, F., Hannigan, A., & Fitzmaurice, O. (2014). The role of prior mathematical experience in predicting mathematics performance in higher education. International Journal of Mathematical Education in Science and Technology, 45(5), 648-667. https://doi.org/10.1080/0020739X.2013.868539
  • Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290. https://doi.org/10.1016/j.comnet.2020.107290
  • Fredricks, J. A., & McColskey, W. (2012). The measurement of student engagement: A comparative analysis of various methods and student self-report instruments. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 763-782). Springer. https://doi.org/10.1007/978-1-4614-2018-7_37
  • Gavalcová, T. (2008). On strategies contributing to active learning. Teaching Mathematics and Its Applications: An International Journal of the IMA, 27(3), 116-122. https://doi.org/10.1093/teamat/hrn013
  • Giesbers, B., Rienties, B., Tempelaar, D., & Gijselaers, W. (2014). A dynamic analysis of the interplay between asynchronous and synchronous communication in online learning: The impact of motivation. Journal of Computer Assisted Learning, 30(1), 30e50. https://doi.org/10.1111/jcal.12020
  • Handelsman, M. M., Briggs, W. L., Sullivan, N., & Towler, A. (2005). A measure of college student course engagement. The Journal of Educational Research, 98(3), 184-191. https://doi.org/10.3200/JOER.98.3.184-192
  • Henrie, C. R., Halverson, L. R., & Graham, C. R. (2015). Measuring student engagement in technology-mediated learning: A review. Computers & Education, 90, 36-53. https://doi.org/10.1016/j.compedu.2015.09.005
  • Hew, K. F. (2015). Towards a model of engaging online students: Lessons from MOOCs and four policy documents. International Journal of Information and Education Technology, 5(6), 425. https://doi.org/10.7763/IJIET.2015.V5.543
  • Higher Education Authority. (2019). An analysis of completion in Irish higher education: 2007/08 entrants. https://hea.ie/assets/uploads/2019/02/HEA-Analysis-of-Completion-in-Irish-Higher-Education-Report-Release.pdf
  • Hollister, B., Nair, P., Hill-Lindsay, S., & Chukoskie, L., (2022). Engagement in online learning: Student attitudes and behavior during COVID-19. Frontiers in Education, 7. https://doi.org/10.3389/feduc.2022.851019
  • Holmes, N. (2018). Engaging with assessment: Increasing student engagement through continuous assessment. Active Learning in Higher Education, 19(1), 23-34. https://doi.org/10.1177/1469787417723230
  • Jacobs, P. (2013). The challenges of online courses for the instructor. Research in Higher Education Journal, 21(2013), 1-18.
  • Jafari, H., Aghaei, A., & Khatony, A. (2019). Relationship between study habits and academic achievement in students of medical sciences in Kermanshah-Iran. Advances in Medical Education and Practice, 10, 637-643. https://doi.org/10.2147/AMEP.S208874
  • Kahn, P., Everington, L., Kelm, K., Reid, I., & Watkins, F. (2017). Understanding student engagement in online learning environments: The role of reflexivity. Educational Technology Research and Development, 65, 203-218. https://doi.org/10.1007/s11423-016-9484-z
  • Keengwe, J., & Kidd, T. T. (2010). Towards best practices in online learning and teaching in higher education. MERLOT Journal of Online Learning and Teaching, 6(2), 533-541.
  • Kim, K. J., & Bonk, C. J. (2006). The future of online teaching and learning in higher education. Educause Quarterly, 29(4), 22-30.
  • Lang, M. (2022). Learning analytics for measuring engagement and academic performance: A case study from an Irish university. In Proceedings of the 8th International Conference on Higher Education Advances. https://doi.org/10.4995/HEAD22.2022.15652
  • Lee, J. S. (2014). The relationship between student engagement and academic performance: Is it a myth or reality? The Journal of Educational Research, 107(3), 177-185. https://doi.org/10.1080/00220671.2013.807491
  • Li, C., & Lalani, F. (2020). The COVID-19 pandemic has changed education forever. This is how. https://www.weforum.org/agenda/2020/04/coronavirus-education-global-covid19-online-digital-learning/
  • Lishchynska, M., Lacey, S., O’Connor, D., & Morari, V. (2022). Non-mathematics undergraduates’ perceptions of mathematics and preferences for digital learning resources in a technological university. MSOR Connections, 20(2), 13-25. https://doi.org/10.21100/msor.v20i2.1279
  • Lishchynska, M., Palmer, C., Lacey, S., & O’Connor, D. (2023). Is motivation the key? Factors impacting performance in first year service mathematics modules. European Journal of Science and Mathematics Education, 11(1), 146-166. https://doi.org/10.30935/scimath/12529
  • Macfadyen, L. P., & Dawson, S. (2010). Mining LMS data to develop an “early warning system” for educators: A proof of concept. Computers & Education, 54(2), 588-599. https://doi.org/10.1016/j.compedu.2009.09.008
  • Matias, A., & Wolf, D. F. (2013). Engaging students in online courses through the use of mobile technology. In L. A. Wankel, & P. Blessinger (Eds.), Increasing student engagement and retention using mobile applications: Smartphones, Skype and texting technologies (pp. 115-142). Emerald Group Publishing Limited. https://doi.org/10.1108/S2044-9968(2013)000006D007
  • Morari, V., & O’Rourke, S. (2022). SPIRIT Maths: Giving students what they want. Bulletin of the Irish Mathematical Society, 90, 17-23. https://doi.org/10.33232/BIMS.0090.17.23
  • Morris, L. V., Finnegan, C., & Wu, S.-S. (2005). Tracking student behavior, persistence, and achievement in online courses. The Internet and Higher Education, 8, 221e231. https://doi.org/10.1016/j.iheduc.2005.06.009
  • Ní Shé, C., Ní Fhloinn, E., & Mac an Bhaird, C. (2023). Student engagement with technology-enhanced resources in mathematics in higher education: A review. Mathematics, 11(3), 787. https://doi.org/10.3390/math11030787
  • Nonis, S. A., & Hudson, G. I. (2006). Academic performance of college students: Influence of time spent studying and working. Journal of Education for Business, 81(3), 151-159. https://doi.org/10.3200/JOEB.81.3.151-159
  • O’Sullivan, L., Casey, D., & Crowley, J. (2021). Asynchronous online mathematics learning support: An exploration of interaction data to inform future provision. Teaching Mathematics and its Applications: An International Journal of the IMA, 40(4), 317-331. https://doi.org/10.1093/teamat/hrab016
  • Palmer, C., O’Rourke, S., Carroll, C., Manning, D., Cogan, P., & Morari, V. (2022). Digital resources for targeted mathematics support. MSOR Connections, 20(2), 26-36. https://doi.org/10.21100/msor.v20i2.1290
  • Paulsen, J., & McCormick, A. C. (2020). Reassessing disparities in online learner student engagement in higher education. Educational Researcher, 49(1), 20-29. https://doi.org/10.3102/0013189X19898690
  • Pengelley, D. (2020). From lecture to active learning: Rewards for all, and is it really so difficult? The College Mathematics Journal, 51(1), 13-24. https://doi.org/10.1080/07468342.2020.1680228
  • Perfect, C. (2015). A demonstration of Numbas, an e-assessment system for mathematical disciplines. In Proceedings of the CAA Conference (pp. 1-8).
  • Prince, M. (2004). Does active learning work? A review of the research. Journal of Engineering Education, 93(3), 223-231. https://doi.org/10.1002/j.2168-9830.2004.tb00809.x
  • R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org/
  • Rabia, M., Mubarak, N., Tallat, H., & Nasir, W. (2017). A study on study habits and academic performance of students. International Journal of Asian Social Science, 7(10), 891-897. https://doi.org/10.18488/journal.1.2017.710.891.897
  • Rajabalee, B. Y., Santally, M. I., & Rennie, F. (2020). A study of the relationship between students’ engagement and their academic performances in an eLearning environment. E-Learning and Digital Media, 17(1), 1-20. https://doi.org/10.1177/2042753019882567
  • Reschly, A. L., & Christenson, S. L. (2012). Jingle, jangle, and conceptual haziness: Evolution and future directions of the engagement construct. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 3-19). Springer. https://doi.org/10.1007/978-1-4614-2018-7_1
  • Sasi, A., & Anju, A. R. (2020). The correlation between study habits and the academic achievement of high school pupils. Universal Journal of Educational Research, 8(12A), 7359-7366. https://doi.org/10.13189/UJER.2020.082520
  • Smith, M. K., Wood, W. B., Krauter, K., & Knight, J. K. (2011). Combining peer discussion with instructor explanation increases student learning from in-class concept questions. CBE–Life Sciences Education, 10(1), 55-63. https://doi.org/10.1187/cbe.10-080101
  • Stewart, M., Stott, T., & Nuttall, A. M. (2011). Student engagement patterns over the duration of level 1 and level 3 geography modules: Influences on student attendance, performance and use of online resources. Journal of Geography in Higher Education, 35(01), 47-65. https://doi.org/10.1080/03098265.2010.498880
  • Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015). Stability and sensitivity of learning analytics based prediction models. In Proceedings of the 7th International Conference on Computer Supported Education (pp. 156-166). https://doi.org/10.5220/0005497001560166
  • Trowler, V. (2010). Student engagement literature review. The Higher Education Academy, 11(1), 1-15.
  • Van Blerkom, M. L. (1992). Class attendance in undergraduate courses. The Journal of Psychology: Interdisciplinary and Applied, 126(5), 487-494. https://doi.org/10.1080/00223980.1992.10543382
  • Vogt, K. L. (2016). Measuring student engagement using learning management systems [PhD thesis, University of Toronto].
  • Wallace, R. M. (2003). Online learning in higher education: A review of research on interactions among teachers and students. Education, Communication & Information, 3(2), 241-280. https://doi.org/10.1080/14636310303143