The Impact of Online Self-Assessment on Learning Outcomes and Self-Assessment Skills Among Grade 11 Students in Vietnam
Keywords:
interactive online exercises; learning outcomes; online self-assessment; self-assessment; skillAbstract
The application of information technology to self-assessment has received a lot of attention in recent years. Several previous studies have discovered a positive relationship between online self-assessment and academic performance. This study aimed to confirm the relationship between online self-assessment and learning outcomes and self-assessment skills among grade 11 students in Vietnam. With a total of 160 students, this research had been designed as quasi-experimental. The two groups did the self-assessment in different ways over the six weeks of impact implementation. To perform an online self-assessment, the intervention group employed interactive online exercises that delivered instant feedback on Liveworksheets. Throughout this period, the control group engaged in traditional self-assessment. The study found that the intervention group’s final test scores (7.7) were higher than the control group’s (6.3), and their self-assessment skills were more developed at the end of the study. The study confirms the positive relationship between online self-assessment and learning outcomes and self-assessment skills among grade 11 students in Vietnam. The findings suggest that online interactive exercises with immediate feedback can improve learning outcomes and that regular online self-assessment can enhance students’ self-assessment skills. Conceptually, this study contributes to the growing body of research on the application of information technology in education and gives insight into the potential of online self-assessment as a promising tool to promote student learning and development. The results of this study can serve as early data to investigate the effectiveness of online self-assessment in diverse educational settings.
https://doi.org/10.26803/ijlter.22.4.2
References
Alanzi, T. (2021). A review of mobile applications available in the app and google play stores used during the COVID-19 outbreak. Journal of Multidisciplinary Healthcare, 14(1), 45-57. https://doi.org/10.2147/JMDH.S285014
Alseddiqi, M., Mishra, R., & Pislaru, C. (2012). The new school-based learning (SBL) to work-based learning (WBL) transition module: A practical implementation in the Technical and Vocational Education (TVE) system in Bahrain. Journal of Physics: Conference Series, 364(1), 1-10. https://doi.org/10.1088/1742-6596/364/1/012117
Andrade, H. L. (2019). A Critical Review of Research on Student Self-Assessment. Frontiers in Education, 4(87), 1-13. https://doi.org/10.3389/feduc.2019.00087
Anh, T. T. N., Duy, N. N., & Nguyen, N. T. (2021). Effectiveness of Kahoot on Exam Scores in Physics of High-School Students: a Case Study in Vietnam. Journal of Legal, Ethical and Regulatory Issues, 24(Special Issue 1), 1–12.
Azar, A. S., & Tanggaraju, D. (2020). Motivation in second language acquisition among learners in malaysia. Studies in English Language and Education, 7(2), 323-333. https://doi.org/10.24815/siele.v7i2.16506
Azizan, A., Shayesteh, H., Shaffe, M. D., Ahmad Fauzi, M. A., & Jasmin, A. S. (2014). Factors Affecting Students’ Self Regulated Learning Using Learning Management System. Middle-East Journal of Scientific Research, 19(1), 119-124.
B?rdule, K. (2021). E-learning Tools for the Flipped Learning in Elementary School. Baltic Journal of Modern Computing, 9(4), 453-465. https://doi.org/10.22364/bjmc.2021.9.4.05
Borg, S., & Edmett, A. (2019). Developing a self-assessment tool for English language teachers. Language Teaching Research, 23(5), 655-679. https://doi.org/10.1177/1362168817752543
Boud, D., Lawson, R., & Thompson, D. G. (2015). The calibration of student judgement through self-assessment: disruptive effects of assessment patterns. Higher Education Research and Development, 34(1), 45-59. https://doi.org/10.1080/07294360.2014.934328
Broadbent, J., Sharman, S., Panadero, E., & Fuller-Tyszkiewicz, M. (2021). How does self-regulated learning influence formative assessment and summative grade? Comparing online and blended learners. Internet and Higher Education, 50(1), 1-8. https://doi.org/10.1016/j.iheduc.2021.100805
Cacciamani, S., Perrucci, V., & Fujita, N. (2021). Promoting Students’ Collective Cognitive Responsibility through Concurrent, Embedded and Transformative Assessment in Blended Higher Education Courses. Technology, Knowledge and Learning, 26(4), 1169-1194. https://doi.org/10.1007/s10758-021-09535-0
Chang, C. H., & Wu, B. S. (2018). Teaching geography with technology-A critical commentary. In C-H. Chang, ,B. S. Wu, T. Seow, K. Irvine (Eds.), Learning Geography Beyond the Traditional Classroom: Examples from Peninsular Southeast Asia. Springer. https://doi.org/10.1007/978-981-10-8705-9_3
Chen, C. H. (2010). The implementation and evaluation of a mobile self- and peer-assessment system. Computers and Education, 55(1), 229-236. https://doi.org/10.1016/j.compedu.2010.01.008
Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting latent topics and trends in educational technologies over four decades using structural topic modeling: A retrospective of all volumes of computers & education. Computers and Education, 151(1), 103855. https://doi.org/10.1016/j.compedu.2020.103855
Childress, J., Backman, A. C., & Lipson, M. Y. (2020). Reframing Literacy Assessment: Using Scales and Micro-Progressions to Provide Equitable Assessments for All Learners. Journal of Adolescent and Adult Literacy, 63(4), 371-377. https://doi.org/10.1002/jaal.1016
Ching-Ter, C., Hajiyev, J., & Su, C. R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbaijan? The General Extended Technology Acceptance Model for E-learning approach. Computers and Education, 111(1), 128-143. https://doi.org/10.1016/j.compedu.2017.04.010
Christensen, R., & Knezek, G. (2017). Validating the Technology Proficiency Self-Assessment Questionnaire for 21st Century Learning (TPSA C-21). Journal of Digital Learning in Teacher Education, 33(1), 20-31. https://doi.org/10.1080/21532974.2016.1242391
Daher, W., Anabousy, A., & Alfahel, E. (2022). Elementary Teachers’ Development in Using Technological Tools to Engage Students in Online Learning. European Journal of Educational Research, 11(2), 1183-1195. https://doi.org/10.12973/eu-jer.11.2.1183
Elkhatat, A. M., Elsaid, K., & Almeer, S. (2021). Some students plagiarism tricks, and tips for effective check. International Journal for Educational Integrity, 17(1), 1-12. https://doi.org/10.1007/s40979-021-00082-w
Fan, Y., Matcha, W., Uzir, N. A., Wang, Q., & Gaševi?, D. (2021). Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning. International Journal of Artificial Intelligence in Education, 31(4), 980-1021. https://doi.org/10.1007/s40593-021-00249-z
Fletcher, A. K. (2016). Exceeding expectations: scaffolding agentic engagement through assessment as learning. Educational Research, 58(4), 400-419. https://doi.org/10.1080/00131881.2016.1235909
Garrido Astray, M. C., Santiago Gómez, G., Márquez, M. G., Poggio Lagares, L., & Gómez Garrido, S. (2019). The impact of digital resources in the learning and the development of the competence Analysis and Synthesis. Educacion Medica, 20(2), 74–78. https://doi.org/10.1016/j.edumed.2018.02.011
Hadwin, A. F., Järvelä, S., & Miller, M. (2015). Self-Regulated, Co-Regulated, and Socially Shared Regulation of Learning. In D. H. Schunk & J. A. Greene (Eds.), Handbook of Self-Regulation of Learning and Performance. Routledge. https://doi.org/10.4324/9780203839010.ch5
Hsu, P. J., Wu, C. Y., Kuo, L. C., Chen, M. Y., Chen, Y. L., Huang, S. F., Chuang, P. Y., Jerng, J. S., & Chen, S. Y. (2022). Improving the Process of Shared Decision-Making by Integrating Online Structured Information and Self-Assessment Tools. Journal of Personalized Medicine, 12(2), 1-13. https://doi.org/10.3390/jpm12020256
Ishikawa, Y., Umemoto, T., Tsubota, Y., Fujiwara, S., Suto, A., & Nishiyama, K. (2021). Achieving Student Engagement in Learning: Utilizing a Rubric-Based Assessment System for Visualizing Learners’ Self-, Peer, and Teacher Assessments. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 292–+-300. https://doi.org/10.1007/978-3-030-77889-7_20
Karmaker, P. R. (2020). Implementing Assessment literacy in ESL/EFL at Undergraduate Level in Bangladeshi Universities: Imperativeness and Challenges. Journal of English Education and Teaching, 4(3), 348-367. https://doi.org/10.33369/jeet.4.3.348-367
Katsarou, E., & Chatzipanagiotou, P. (2021). A critical review of selected literature on learner-centered interactions in online learning. Electronic Journal of E-Learning, 19(5), 349-362. https://doi.org/10.34190/ejel.19.5.2469
Koehler, A. A., & Meech, S. (2022). Ungrading Learner Participation in a Student-Centered Learning Experience. TechTrends, 66(1), 78-89. https://doi.org/10.1007/s11528-021-00682-w
Lawson, R. J., Taylor, T. L., Thompson, D. G., Simpson, L., Freeman, M., Treleaven, L., & Rohde, F. (2012). Engaging with graduate attributes through encouraging accurate student self-assessment. Asian Social Science, 8(4), 3-12. https://doi.org/10.5539/ass.v8n4p3
Lesage, M., Raiche, G., Riopel, M., Fortin, F., & Sebkhi, D. (2015). The Internet Implementation of the Hierarchical Aggregate Assessment Process with the “Cluster” Wi-Fi E-Learning and EAssessment Application — A Particular Case of Teamwork Assessment. E-Learning - Instructional Design, Organizational Strategy and Management, 83-125. https://doi.org/10.5772/60850
Lin, M. H., Chen, H. C., & Liu, K. S. (2017). A study of the effects of digital learning on learning motivation and learning outcome. Eurasia Journal of Mathematics, Science and Technology Education, 13(7), 3553-3564. https://doi.org/10.12973/eurasia.2017.00744a
Lin, Y. N., Hsia, L. H., Sung, M. Y., & Hwang, G. H. (2019). Effects of integrating mobile technology-assisted peer assessment into flipped learning on students’ dance skills and self-efficacy. Interactive Learning Environments, 27(8), 995-1010. https://doi.org/10.1080/10494820.2018.1461115
Lo, C. M., Han, J., Wong, E. S. W., & Tang, C. C. (2020). Flexible learning with multicomponent blended learning mode for undergraduate chemistry courses in the pandemic of COVID-19. Interactive Technology and Smart Education, 18(2), 175-188. https://doi.org/10.1108/ITSE-05-2020-0061
Lock, J., Lakhal, S., Cleveland-Innes, M., Arancibia, P., Dell, D., & De Silva, N. (2021). Creating technology-enabled lifelong learning: A heutagogical approach. British Journal of Educational Technology, 52(4), 1646-1662. https://doi.org/10.1111/bjet.13122
Luo, Y., Lin, J., & Yang, Y. (2021). Students’ motivation and continued intention with online self-regulated learning: A self-determination theory perspective. Zeitschrift Fur Erziehungswissenschaft, 24(6), 1379-1399. https://doi.org/10.1007/s11618-021-01042-3
Mäenpää, K., Järvenoja, H., Peltonen, J., & Pyhältö, K. (2020). Nursing students’ motivation regulation strategies in blended learning: A qualitative study. Nursing and Health Sciences, 22(3), 602-611. https://doi.org/10.1111/nhs.12702
Meusen-Beekman, K. D., Joosten-ten Brinke, D., & Boshuizen, H. P. A. (2016). Effects of formative assessments to develop self-regulation among sixth grade students: Results from a randomized controlled intervention. Studies in Educational Evaluation, 51(1), 126-136. https://doi.org/10.1016/j.stueduc.2016.10.008
Muñoz-Escalona, P., Savage, K., Conway, F., & McLaren, A. (2018). Promoting undergraduate student engagement through self-generated exam activity. International Journal of Mechanical Engineering Education, 46(3), 252-273. https://doi.org/10.1177/0306419017743215
Nikou, S. A., & Economides, A. A. (2016). The impact of paper-based, computer-based and mobile-based self-assessment on students’ science motivation and achievement. Computers in Human Behavior, 55(1), 1241-1248. https://doi.org/10.1016/j.chb.2015.09.025
Oh, H., Cho, H., & Yim, S. Y. (2021). Influence of perceived helicopter parenting, critical thinking disposition, cognitive ability, and learning motivation on learning behavior among nursing students. International Journal of Environmental Research and Public Health, 18(3), 1-11. https://doi.org/10.3390/ijerph18031362
Paniagua, A. S. E., & Simpson, O. (2018). Developing student support for open and distance learning: The EMPOWER project. Journal of Interactive Media in Education, 2018(1), 1-10. https://doi.org/10.5334/jime.470
Papanthymou, A., & Darra, M. (2018). Student Self-Assessment in Higher Education: The International Experience and the Greek Example. World Journal of Education, 8(6), 130-146. https://doi.org/10.5430/wje.v8n6p130
Pinto-Llorente, A. M., Sánchez-Gómez, M. C., García-Peñalvo, F. J., & Casillas-Martín, S. (2017). Students’ perceptions and attitudes towards asynchronous technological tools in blended-learning training to improve grammatical competence in English as a second language. Computers in Human Behavior, 72(1), 632-643. https://doi.org/10.1016/j.chb.2016.05.071
Prisacari, A. A., & Danielson, J. (2017). Computer-based versus paper-based testing: Investigating testing mode with cognitive load and scratch paper use. Computers in Human Behavior, 77(1), 1-10. https://doi.org/10.1016/j.chb.2017.07.044
Punhagui, G. C., & De Souza, N. A. (2013). Self-regulation in the learning process: Actions through self-assessment activities with brazilian students. International Education Studies, 6(10), 47-62. https://doi.org/10.5539/ies.v6n10p47
Ratminingsih, N. M., Marhaeni, A. A. I. N., & Vigayanti, L. P. D. (2018). Self-Assessment: The effect on students’ independence and writing competence. International Journal of Instruction, 11(3), 277-290. https://doi.org/10.12973/iji.2018.11320a
Rick, H., & Phlypo, K. (2019). Choose your own adventure: Self-directed adult learning and assessment. Proceedings of the European Conference on E-Learning, 680-XVI. https://doi.org/10.34190/EEL.19.006
Rini, D. S., Adisyahputra, & Sigit, D. V. (2020). Boosting student critical thinking ability through project based learning, motivation and visual, auditory, kinesthetic learning style: A study on Ecosystem Topic. Universal Journal of Educational Research, 8(4), 37-44. https://doi.org/10.13189/ujer.2020.081806
Rizk, N. (2016). Real-Time Skill Assessment Data Mining Model to enhance students’ performance. International Journal of Education and Information Technologies, 10(1), 218-222.
Rodríguez, M. C., Ramírez, L. J., & Camargo, J. M. (2019). TBL, Self-assessment, and Use of ICT: A Methodological Option to Benefit the English Learning Process in a Colombian University. Journal of Language Teaching and Research, 10(6), 1162-1172. https://doi.org/10.17507/jltr.1006.04
Rudenko, N., Palamar, S., Nezhyva, L., Bondarenko, G., & Shyrokov, D. (2021). The Use of ICT Tools to Organize Distance Learning of Mathematics for Primary School Students under COVID-19 Pandemic Conditions. CEUR Workshop Proceedings, 371-380.
Scherer, R., Siddiq, F., & Teo, T. (2015). Becoming more specific: Measuring and modeling teachers’ perceived usefulness of ICT in the context of teaching and learning. Computers and Education, 88(1), 202-214. https://doi.org/10.1016/j.compedu.2015.05.005
Schumacher, D. J., Englander, R., & Carraccio, C. (2013). Developing the master learner: Applying learning theory to the learner, the teacher, and the learning environment. Academic Medicine, 88(11), 1635-1645. https://doi.org/10.1097/ACM.0b013e3182a6e8f8
Seifert, T., & Feliks, O. (2019). Online self-assessment and peer-assessment as a tool to enhance student-teachers’ assessment skills. Assessment and Evaluation in Higher Education, 44(2), 160-185. https://doi.org/10.1080/02602938.2018.1487023
Stan?i?, M. (2021). Peer assessment as a learning and self-assessment tool: a look inside the black box. Assessment and Evaluation in Higher Education, 46(6), 852-864. https://doi.org/10.1080/02602938.2020.1828267
Steuber, T. D., Janzen, K. M., Walton, A. M., & Nisly, S. A. (2017). Assessment of learner metacognition in a professional pharmacy elective course. American Journal of Pharmaceutical Education, 81(10), 20-28. https://doi.org/10.5688/ajpe6034
Strauß, S., & Rummel, N. (2020). Promoting interaction in online distance education: designing, implementing and supporting collaborative learning. Information and Learning Science, 121(5/6), 251-260. https://doi.org/10.1108/ILS-04-2020-0090
Styers, M. L., Van Zandt, P. A., & Hayden, K. L. (2018). Active learning in flipped life science courses promotes development of critical thinking skills. CBE Life Sciences Education, 17(3), 1-13. https://doi.org/10.1187/cbe.16-11-0332
Tay, H. Y. (2015). Setting formative assessments in real-world contexts to facilitate self-regulated learning. Educational Research for Policy and Practice, 14(2), 169-187. https://doi.org/10.1007/s10671-015-9172-5
Tokan, M. K., & Imakulata, M. M. (2019). The effect of motivation and learning behaviour on student achievement. South African Journal of Education, 39(1), 1-8. https://doi.org/10.15700/saje.v39n1a1510
Tsai, C. W., Shen, P. Di, & Chiang, I. C. (2020). Investigating the effects of ubiquitous self-organized learning and learners-as-designers to improve students’ learning performance, academic motivation, and engagement in a cloud course. Universal Access in the Information Society, 19(1), 1-16. https://doi.org/10.1007/s10209-018-0614-8
Tur, G., Urbina, S., & Forteza, D. (2019). Rubric-based formative assessment in process eportfolio: Towards self-regulated learning. Digital Education Review, 35(1), 18-35. https://doi.org/10.1344/der.2019.35.18-35
Valtins, K., Tipans, I., & Muracova, N. (2020). Technology enhanced internationalization in higher education, non-traditional indicators. Journal of Information Technology Management, 12(3), 14-25. https://doi.org/10.22059/JITM.2020.76289
Wallin, P., & Adawi, T. (2018). The reflective diary as a method for the formative assessment of self-regulated learning. European Journal of Engineering Education, 43(4), 507-521. https://doi.org/10.1080/03043797.2017.1290585
Wanner, T., & Palmer, E. (2018). Formative self-and peer assessment for improved student learning: the crucial factors of design, teacher participation and feedback. Assessment and Evaluation in Higher Education, 43(7), 1032-1047. https://doi.org/10.1080/02602938.2018.1427698
Wiliam, D., & Leahy, S. (2020). Embedding Formative Assessment. Hawker Brownlow Education.
Wolters, C. A., & Benzon, M. B. (2013). Assessing and predicting college students use of strategies for the self-regulation of motivation. Journal of Experimental Education, 81(2), 199-121. https://doi.org/10.1080/00220973.2012.699901
Yan, Z. (2020). Self-assessment in the process of self-regulated learning and its relationship with academic achievement. Assessment and Evaluation in Higher Education, 45(2), 224-238. https://doi.org/10.1080/02602938.2019.1629390
Yang, A. C. M., Chen, I. Y. L., Flanagan, B., & Ogata, H. (2022). How students’ self-assessment behavior affects their online learning performance. Computers and Education: Artificial Intelligence, 3(1), 1-8. https://doi.org/10.1016/j.caeai.2022.100058
Yew, G. Z., Monaco, P. A., Cloutier, A., & Morse, A. N. (2016). Evaluation of interactive multidisciplinary curricula in a residential summer program (Evaluation). ASEE Annual Conference and Exposition, Conference Proceedings, 1-13. https://doi.org/10.18260/p.26782
Yusof, R., Ismail, J., & Radzi, A. M. (2022). Online Distance Learning: A New Learning Approach in The Malaysian Gifted Education System. FWU Journal of Social Sciences, 16 (1), 28–46.
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