The effect of feedback type in the e-learning environment on students’ achievement and motivation

Abstract

This study investigated the effect of different types of feedback in an e-learning environment in enhancing students’ achievement and motivation in the Information Technology subject. The study adopted a quasi-experimental research design. The sample consisted of 97 eighth-grade students enrolled in Sarah Umm Ishaq Basic Education School in the Al Batinah North Governorate of Oman for the academic year 2021/2022. This research applied a pre-test and post-test and motivation surveys to measure the effects of three feedback types. For the data analysis, the researchers used the descriptive statistics of means and standard deviations, one-way analysis of variance (ANOVA), and one-way repeated measures ANOVA. The results of the study showed that the types of feedback had an effect on academic achievement relative to the IT curriculum for the 8th-grade students, favoring interpretive feedback. The results also indicated that students’ experiences with feedback types in the IT curriculum significantly increased their motivation and had a positive effect, particularly favoring interpretive feedback.

Keywords

• Feedback Types
• E-Learning Environment
• Achievement
• Motivation

References

1. Usman, O., & Tasya, S. (2020). The Effect of E-Learning, Learning Style, and Learning Interest on Student’s Learning Motivation. Learning Style, and Learning Interest on Student’s Learning Motivation (July 9, 2020). ‏ Kitazawa, T., Nagai, M., & Ueno, J. (2011). Effects of an e-learning system with a feedback system in blended learning environments of information and communication technology education at a Japanese university. Educational Technology Research, 34(1-2), 181-193.‏ https://doi.org/10.15077/etr.KJ00007561997
2. Pavel, A.-P., Fruth, A., & Neacsu, M.-N. (2015). ICT and E-Learning – Catalysts for innovation and quality in higher education. Procedia Economics and Finance, 23(October 2014), 704–711. https://doi.org/10.1016/s2212-5671(15)00409-8
3. Osman, M. E. (2020). Global impact of COVID-19 on education systems: the emergency remote teaching at Sultan Qaboos University. Journal of Education for Teaching, 46(4), 463-471‏. https://doi.org/10.1080/02607476.2020.1802583
4. Barak, M., & Levenberg, A. (2016). Flexible thinking in learning: An individual differences measure for learning in technology-enhanced environments. Computers and Education, 99, 39–52. https://doi.org/10.1016/j.compedu.2016.04.003
5. Dabell, J. (2018). Effective feedback practices. In SecEd (2). https://doi.org/10.12968/sece.2018.2.8b
6. Schwartz, S., & Griffin, T. (1993). Comparing different types of performance feedback and computer-based instruction in teaching medical students how to diagnose acute abdominal pain. Academic Medicine, 68(11), 862-4. https://doi.org/10.1097/00001888-199311000-00017
7. Van Der Kleij, F. M., Eggen, T. J. H. M., Timmers, C. F., & Veldkamp, B. P. (2012). Effects of feedback in a computer-based assessment for learning. Computers and Education, 58(1), 263–272. https://doi.org/10.1016/j.compedu.2011.07.020
8. Ismail, M. (2015). The effect of the difference in the feedback pattern in the e-learning environment via networks in developing programming skills for third year preparatory students. Journal of College of Education: Benha University 26(102), 345-362, https://doi.org/10.12816/0022076

9. Ibrahim, Z. Y. & Jafar, D. A. (2016). The effect of the different pattern of feedback (exploratory corrective / explanatory) in the flipped classroom environment on some learning outcomes of the casual course for fourth year students. The Scientific Journal of the Faculty of Specific Education - Menoufia University, 3 (7), 313-372. https://doi.org/10.21608/molag.2016.157408
10. Ahmed, R. A. (2017). The effect of the interaction between the level of providing feedback (corrective - explanatory) and learning style (normal - deep) in personal learning environments on academic achievement and learning efficiency of educational technology students. Arab Society for Educational Technology, 31, 253-306
11. Anafi , S. (2017). The effect of the difference in the electronic feedback pattern within a simulation-based software on imparting educational robot programming skills to talented female students in the intermediate stage in Jeddah. Specialized International Educational Journal, 6, 188-203. https://doi.org/10.36752/1764-006-001-01
12. Hammad, A. (2018). The effect of the level of providing feedback (corrective and explanatory) within a cloud e-learning environment on the development of achievement among graduate students in statistics. Studies in University Education, 39(39), 169-193. https://doi.org/10.21608/deu.2018.16158
13. Ramzi,S. H. (2020). The two patterns of (corrective / explanatory) feedback in the interactive video and the effect of their interaction with the timing of its presentation (immediate / delayed) on the development of electronic journalistic editing skills among students of the educational Media. Journal of Scientific Research in Education, 21(9), 560-613 https://doi.org/10.21608/jsre.2020.128492
14. Ibrahim, I. (2020). The effect of the level of brief and detailed feedback in the micro-learning environment via the mobile web on developing the programming skills of educational websites among students of computer teachers. Educational Journal, Sohag University - College of Education, (73), 69 - 137. https://doi.org/10.12816/EDUSOHAG.2020.85249
15. Jiyoon, J., EunJin, K., & Innwoo, P. (2018). The effects of teaching method and homework feedback on students’ class attitude, classroom atmosphere, class satisfaction, self-directed learning, and academic achievement: Focusing on Korean, AMath, and English subjects. Teacher Education Research, 57(2), 246-259. https://doi.org/10.15812/ter.57.2.201806.246
16. Orsmond, P., & Merry, S. (2011). Feedback alignment: effective and ineffective links between tutors’ and students’ understanding of coursework feedback. Assessment & Evaluation in Higher Education, 36(2), 125-136. https://doi.org/10.1080/02602930903201651
17. Wang, M. Y., & Hwang, M. J. (2004). The e-learning library: Only a warehouse of learning resources? Electronic Library, 22(5), 408–415. https://doi.org/10.1108/02640470410561929
18. Sharifabadi, S. R. (2006). How digital libraries can support e-learning. Electronic Library, 24(3), 389–401. https://doi.org/10.1108/02640470610671231
19. Phielix, C., Prins, F. J., Kirschner, P. A., Erkens, G., & Jaspers, J. (2011). Group awareness of social and cognitive performance in a CSCL environment: Effects of peer feedback and reflection tool. Computers in Human Behavior, 27(3), 1087–1102. https://doi.org/10.1016/j.chb.2010.06.024
20. Chen, X., Breslow, L., & DeBoer, J. (2018). Analyzing productive learning behaviors for students using immediate corrective feedback in a blended learning environment. Computers and Education, 117(March 2017), 59–74. https://doi.org/10.1016/j.compedu.2017.09.013
21. Loorbach, N., Peters, O., Karreman, J., & Steehouder, M. (2015). Validation of the instructional materials motivation survey (IMMS) in a self-directed instructional setting aimed at working with technology. British Journal of Educational Technology, 46(1), 204–218. https://doi.org/10.1111/bjet.12138
22. Al Kalbani, S. (2019). The Effects of Formative Assessment Gamified Activities on Grade Nine Students' Problem-Solving Skills and Motivation in Al Bustan for Basic Education School. [Unpublished master’s thesis]. Sultan Qaboos University. Aafia, H. A. (2019). Feedback pattern (corrective - explanatory) in an electronic formative evaluation environment and its impact on developing engineering drawing skills for college students industrial education in computers. The Scientific Journal of the Faculty of Specific Education, 20 (1), 115-180.
23. Abdul-Barr, A. (2019). The effect of the interaction between the feedback method "corrective academic achievement and immersion in learning the explanatory foundations" and the "active reflexive" learning method on the development of school mathematics among in students of the College of Education. Benha University - College of Education, (30)1, 252-19.
24. Bitchener, J. & Knoch, U. (2010). Raising the linguistic accuracy level of advanced L2 writers with written corrective feedback. Journal of Second Language Writing. 19. 207-217. https://doi.org/10.1016/j.jslw.2010.10.002
25. Kartal, E. (2010). Feedback processes in multimedia language learning software. Online Submission, 7(4), 53–65. https://eric.ed.gov/?id=ED509945
26. Martínez-Argüelles, M. J., Plana-Erta, D., Hintzmann-Colominas, C., Badia-Miró, M., & Batalla-Busquets, J. M. (2013, January). Usefulness of feedback in e-learning from the students’ perspective. European Conference on e-Learning (ECEL),11(4), 283-292.‏ https://www.intangiblecapital.org/index.php/ic/article/view/622