Abstract
As a format of homework delivery, online homework promises the usage of technology to help students learn better in the modern era. However, evidence has shown that many students are reluctant to adopt online homework for learning. Behavioral intention is acknowledged as a critical factor predicting the adoption of technology among users. Relevant studies targeted specifically on online homework in terms of behavioral intention are scattered till now. Thus, a review of the literature was conducted to identify factors influencing students’ behavioral intention to adopt online homework. Abiding by the inclusion and exclusion criteria with the guide of PRISMA, 25 articles were selected from four databases. In the current study, the included studies’ characteristics were outlined first. Then, based on the UTAUT model, the findings showed that performance expectancy, effort expectancy, social influence, and facilitating conditions impact students’ behavioral intention to adopt online homework. Other factors, such as content design, functions, attitudes, and so on, are also associated with students’ behavioral intention to adopt online homework. Further studies and limitations are also included in this study.
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Albelbisi, N. A., & Yusop, F. D. (2018). Secondary school students’ use of and attitudes toward online mathematics homework. Turkish Online Journal of Educational Technology, 17(1), 144–153.
Alshehri, A. A. (2017). The perception created of online homework by high school students, their teacher and parents in Saudi Arabia. Journal of Education and Practice, 8(13), 85–100.
Balta, N., Perera-Rodríguez, V., & Hervás-Gómez, C. (2018). Using Socrative as an online homework platform to increase students’ exam scores. Education and Information Technologies, 23(12), 837–850. https://doi.org/10.1007/s10639-017-9638-6
Chao, C. M. (2019). Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in Psychology, 10, 1652. https://doi.org/10.3389/fpsyg.2019.01652
Chen, C., & Du, X. (2021). Teaching and learning Chinese as a foreign language through intercultural online collaborative projects. The Asia-Pacific Education Researcher. https://doi.org/10.1007/s40299-020-00543-549
Chen, L., Wong, S. L., & How, S. P. (2023). A systematic review of factors influencing student interest in online homework. Research and Practice in Technology Enhanced Learning, 18, 39. https://doi.org/10.58459/rptel.2023.18039
Dos Santos, L. M. (2021). Developing bilingualism in nursing students: Learning foreign language beyond the nursing curriculum. Healthcare, 9(3), 326. https://doi.org/10.3390/healthcare9030326
Dos Santos, L. M. (2022). Online learning after the COVID-19 pandemic: Learners’ motivations. Frontiers in Education, 7, 879091. https://doi.org/10.3389/feduc.2022.879091
Elias, A. L., Elliott, D. G., & Elliott, J. A. W. (2017). Student perceptions and instructor experiences in implementing an online homework system in a large second-year engineering course. Education for Chemical Engineers, 21, 40–49. https://doi.org/10.1016/j.ece.2017.07.005
Elmehdi, H. (2013). An evaluation of web-based homework (WBH) delivery system: University of Sharjah experience. International Journal of Emerging Technologies in Learning, 8(4), 57–62. https://doi.org/10.3991/ijet.v8i4.2966
Fatmawati, O. A. (2021). Does Kahoot Challenge Mode Motivate Students’ Better Than Google Form in Doing Online Homework? Journal of English Language Teaching Learning and Literature, 4(2), 15–27.
Fries, R., Cross, B., Rossow, M., & Woehl, D. (2013). Student perceptions of online statics homework tools. Journal of Online Engineering Education, 4(2), 1–7.
Gerhart, L. M., & Anderton, B. N. (2021). Engaging students through online video homework assignments: A case study in a large-enrollment ecology and evolution course. Ecology and Evolution, 11, 5777–5789. https://doi.org/10.1002/ece3.7547
González, J. A., Giuliano, M., & Pérez, S. N. (2022). Measuring the effectiveness of online problem solving for improving academic performance in a probability course. Education and Information Technologies, 27(5), 6437–6457. https://doi.org/10.1007/s10639-021-10876-7
Hampton, K. N., Robertson, C. T., Fernandez, L., Shin, I., & Bauer, J. M. (2021). How variation in internet access, digital skills, and media use are related to rural student outcomes: GPA, SAT, and educational aspirations. Telematics and Informatics, 63, 1–15. https://doi.org/10.1016/j.tele.2021.101666
Ho, C.-T.B., Chou, Y.-H.D., & Fang, H.-Y. (2016). Technology adoption of podcast in language learning: Using Taiwan and China as examples. International Journal of e-Education, e-Business, e-Management and e-Learning, 6(1), 1–12.
Hoque, R., & Sorwar, G. (2017). Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International Journal of Medical Informatics, 101, 75–84. https://doi.org/10.1016/j.ijmedinf.2017.02.002
Huang, F., Teo, T., & Zhou, M. M. (2019). Chinese students’ intention to use the internet-based technology for learning. Educational Technology Research and Development, 68, 575–591. https://doi.org/10.1007/s11423-019-09695-y
Ingalls, V. (2018). Incentivizing with bonus in a college statistics course. Journal of Research in Mathematics Education, 7(1), 93–103. https://doi.org/10.17583/redimat.2018.2497
Kersey, E., Max, B., Akarsu, M., Bloome, L., Suazo, E., & Hoffman, A. (2019). Use of written curriculum in applied calculus. International Journal of Research in Education and Science, 5(2), 457–467.
Khechine, H., Raymond, B., & Augier, M. (2020). The adoption of a social learning system: Intrinsic value in the UTAUT model. British Journal of Educational Technology, 51(6), 2306–2325. https://doi.org/10.1111/bjet.12905
Lazarova, K. (2015). The role of online homework in low-enrollment college introductory physics courses. Journal of College Science Teaching, 44(3), 17–21.
Liberatore, M. W., Morrish, R. M., & Vestal, C. R. (2017). Effectiveness of just in time teaching on student achievement in an introductory thermodynamics course. Advances in Engineering Education, 6(1), 1–15.
Magalhães, P., Ferreira, D., Cunha, J., & Rosário, P. (2020). Online vs traditional homework: A systematic review on the benefits to students’ performance. Computer & Education, 152, 103869. https://doi.org/10.1016/j.compedu.2020.103869
McCollum, B., Morsch, L., Shokoples, B., & Skagen, D. (2019). Overcoming barriers for implementing international online collaborative assignments in chemistry. Canadian Journal for the Scholarship of Teaching and Learning. https://doi.org/10.5206/cjsotl-rcacea.2019.1.8004
Mikko, V., Stefan, R., & Gottfried, M. (2018). Online homework in engineering mathematics: Can we narrow the performance gap. International Journal of Engineering Pedagogy, 8(1), 29–42. https://doi.org/10.3991/ijep.v8i1.7526
Mohammad, T. H. N., & Elaine, L. D. (2014). Online assessments in pharmaceutical calculations for enhancing feedback and practice opportunities. Currents in Pharmacy Teaching and Learning, 6, 807–814. https://doi.org/10.1016/j.cptl.2014.07.010
Moher, D., Liberati, A., Tetzlaff, J., & Altaman, D. C. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Annals of Internal Medicine, 151(4), 264–269. https://doi.org/10.1136/bmj.b2535
Morgan, A. (2013a). Factors influencing student use of online homework management systems. Recognizing Excellence in Business Education, 98, 98–112.
Morgan, A. (2013b). Building a model to measure the impact of an online homework manager on student learning in accounting courses. Business Education Innovation Journal, 5(1), 67–73.
Mouza, C., & Lavigne, N. (2013). Introduction to emerging technologies for the classroom: A learning sciences perspective. Explorations in the Learning Sciences, Instructional Systems and Performance Technologies, 1–12.
Murphy, R., Roschelle, J., Feng, M. Y., & Mason, C. A. (2020). Investigating efficacy, moderators and mediators for an online mathematics homework intervention. Journal of Research on Educational Effectiveness, 13(2), 235–270. https://doi.org/10.1080/19345747.2019.1710885
Mzoughi, T. (2015). An investigation of student web activity in a “flipped” introductory physics class. Procedia-Social and Behavioral Sciences, 191, 235–240. https://doi.org/10.1016/j.sbspro.2015.04.558
Parker, L. L., & Loudon, G. M. (2013). Case study using online homework in undergraduate organic chemistry: Results and student attitudes. Journal of Chemical Education, 90, 37–44.
Powers, K. L., Brooks, P. J., Galazyn, M., & Donnell, S. (2016). Testing the efficacy of MyPsychLab to replace traditional instruction in a hybrid course. Psychology Learning and Teaching, 15(1), 6–30. https://doi.org/10.1177/1475725716636514
Raines, J. (2016). Student perceptions on using MyMathLab to complete homework online. Journal of Student Success and Retention, 3(1), 1–31.
Rentler, B. R., & Apple, D. (2020). Understanding the acceptance of e-learning in a Japanese university English program using the technology acceptance model. APU Journal of Language Research, 5, 22–37. https://doi.org/10.34409/apujlr.5.0_22
Richards-Babb, M., Drelick, J., Henry, Z., & Robertson-Honecker, J. (2011). Online homework, help or hindrance? What students think and how they perform. Journal of College Science Teaching, 40(4), 81–93.
Rodriguez, R. P., Jr., & Smith, L. M. (2016). Using an online homework management system in tax accounting: Does it advance learning? International Journal of Learning Technology, 11(1), 44–65. https://doi.org/10.1504/ijlt.2016.076062
Salame, I. I., & Hanna, E. (2020). Studying the impact of online homework on the perceptions, attitudes, study habits, and learning experiences of chemistry students. Interdisciplinary Journal of Environmental and Science Education, 16(4), e2221. https://doi.org/10.29333/ijese/8543
Sarmiento, C. P. (2017). Student perceptions of online homework in mathematics of accounting and finance. Advanced Science Letters, 23(2), 1122–1125. https://doi.org/10.1166/asl.2017.7513
Solyst, J., Thakur, T., Dutta, M., Asano, Y., Petersen, A., & Williams, J. J. (2021). Procrastination and gaming in an online homework system of an inverted CS1. In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education Doi, 10(1145/3408877), 3432440.
Šumak, B., Pušnik, M., Herièko, M., & Šorgo, A. (2017). Differences between prospective, existing, and former users of interactive whiteboards on external factors affecting their adoption, usage and abandonment. Computer, Human and Behavior, 72, 733–756. https://doi.org/10.1016/j.chb.2016.09.006
Tey, T. C. Y., & Moses, P. (2018). UTAUT: Integrating achievement goals and learning styles for undergraduates’ behavioral intention to use technology. EAI Endorsed Transactions on e-Learning. https://doi.org/10.4108/eai.25-9-2018.155573
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 45(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward view. MIS Quarterly, 27(3), 4. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Wessels, S. B., & Oatsvall, R. J. (2017). The effect of voluntary use of an online homework management system on course grades in financial accounting. Business Education & Accreditation, 9(1), 35–42.
Wiggins, H., & van der Hoff, Q. (2021). Using an online homework system for fostering self-directed learning. International Journal of Technology in Education and Science, 5(3), 323–335. https://doi.org/10.46328/ijtes.199
Williams, A. S. (2018). Self-regulation and feedback in an educational statistics course. Journal of Teaching and Learning with Technology, 7(1), 25–42.
Xu, J. Z., Fan, X. T., & Du, J. X. (2018). A study of the validity and reliability of the online homework emotion regulation scale. Measurement, 115, 243–248.
Xu, J., Núñez, J. C., Cunha, J., & Rosário, P. (2020). Online homework distraction scale: A validation study. Psicothema, 32(4), 469–475. https://doi.org/10.7334/psicothema2020.60
Yueh, H. P., Huang, J. Y., & Chang, C. (2015). Exploring factors affecting students’ continued Wiki use for individual and collaborative learning: an extended UTAUT perspective. Australasian Journal of Educational Technology. https://doi.org/10.14742/ajet.170
Yushau, B., & Khan, M. A. (2014). Student perceptions of online homework in preparatory year precalculus course. International Journal of Mathematics Trends and Technology, 8(1), 12–17. https://doi.org/10.14445/22315373/IJMTT-V8P503
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Liu Chen was the main author of the paper who conducted the data collection, and wrote the majority part of the paper. Su Luan Wong revised and edited the manuscript. Shwu Pyng How finalized the manuscript. All authors offered crucial ideas in conceptualising the research.
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Chen, L., Wong, S.L. & How, S.P. A systematic review of factors influencing students’ behavioral intention to adopt online homework. J. Comput. Educ. (2023). https://doi.org/10.1007/s40692-023-00295-7
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DOI: https://doi.org/10.1007/s40692-023-00295-7