Integrating Student Self-Assessment as a Key Instrument for Achieving Need-Supportive Learning Outcomes

Authors

  • Dewi Hidayati STAI Diponegoro Tulungagung Author

DOI:

https://doi.org/10.63011/jxnqsj70

Keywords:

assessment, instrument, learning outcomes, need-supportive, self-assessment

Abstract

Promoting effective academic assessment in higher education presents substantial challenges, particularly in aligning assessment practices with need-supportive teaching to enhance student outcomes. This study proposes the strategic integration of student self-assessment (SSA) as a central tool to address these challenges, focusing on its impact on academic performance at STAI Diponegoro Tulungagung, Indonesia. Through a correlational design, the research examines the influence of SSA on the students’ learning outcomes, specifically within the “English for Beginner” (EfB) course. A series of tests and an adapted SSA questionnaire were employed to measure the effects of consistent self-evaluation. The findings reveal that SSA practices significantly strengthen the connection between guided instruction and independent student achievement. Engaging instructional methods and structured participation were found to enhance student involvement, leading to improved self-assessment and better academic outcomes. These results underscore SSA’s role as a behavioral mechanism that not only clarifies but also empirically supports the link between need-supportive teaching practices and student success. By embedding SSA into routine educational assessments, educators can gain nuanced insights into individual learning needs, allowing for the adaptation of teaching strategies to better support student engagement and achievement. The implications of these findings are profound, suggesting that SSA has the potential to transform academic engagement and success in higher education. Future research should investigate the applicability of SSA across different subjects and educational settings to further explore its capacity to improve learning outcomes on a broader scale.

References

Aelterman, N., Vansteenkiste, M., van Keer, H., de Meyer, J., van den Berghe, L., & Haerens, L. (2013). Development and evaluation of a training on need-supportive teaching in physical education: Qualitative and quantitative findings. Teaching and Teacher Education, 29, 64–75. https://doi.org/10.1016/j.tate.2012.09.001

Baker, J. P., & Goodboy, A. K. (2019). The choice is yours: the effects of autonomy-supportive instruction on students’ learning and communication. Communication Education, 68(1), 80–102. https://doi.org/10.1080/03634523.2018.1536793

Bayrak, F. (2022). Investigation of the web-based self-assessment system based on assessment analytics in terms of perceived self-intervention. Technology, Knowledge and Learning, 27(3), 639–662. https://doi.org/10.1007/s10758-021-09511-8

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

Braun, E., Spexard, A., Nowakowski, A., & Hannover, B. (2020). Self-assessment of diversity competence as part of regular teaching evaluations in higher education: raising awareness for diversity issues. Tertiary Education and Management, 26(2), 171–183. https://doi.org/10.1007/s11233-019-09047-8

Broos, T., Verbert, K., Langie, G., van Soom, C., & de Laet, T. (2018). Multi-institutional positioning test feedback dashboard for aspiring students. Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 51–55. https://doi.org/10.1145/3170358.3170419

Brown, G. T. L., Andrade, H. L., & Chen, F. (2015). Accuracy in student self-assessment: directions and cautions for research. Assessment in Education: Principles, Policy & Practice, 22(4), 444–457. https://doi.org/10.1080/0969594X.2014.996523

Bureau, J. S., Howard, J. L., Chong, J. X. Y., & Guay, F. (2022). Pathways to student motivation: A meta-analysis of antecedents of autonomous and controlled motivations. Review of Educational Research, 92(1), 46–72. https://doi.org/10.3102/00346543211042426

Burns, E. C., Martin, A. J., Collie, R. J., & Mainhard, T. (2021). Perceived classroom disruption undermines the positive educational effects of perceived need-supportive teaching in science. Learning and Instruction, 75, 101498. https://doi.org/10.1016/j.learninstruc.2021.101498

Chanal, J., & Guay, F. (2015). Are autonomous and controlled motivations school-subjects-specific? PLOS ONE, 10(8), e0134660. https://doi.org/10.1371/journal.pone.0134660

Dann, R. (2014). Assessment as learning: blurring the boundaries of assessment and learning for theory, policy and practice. Assessment in Education: Principles, Policy & Practice, 21(2), 149–166. https://doi.org/10.1080/0969594X.2014.898128

Delnoij, L. E. C., Janssen, J. P. W., Dirkx, K. J. H., Vogten, H., Martens, H., Elston, S., Hermans, H., & Martens, R. L. (2022). Do self-assessments for informed study decisions actually inform study decisions? A model for evaluating the consequential validity aspect. Journal of College Student Retention: Research, Theory and Practice. https://doi.org/10.1177/15210251221117126

Dhillon, N., & Kaur, G. (2021). Self-assessment of teachers’ communication style and its impact on their communication effectiveness: A study of Indian higher educational institutions. SAGE Open, 11(2). https://doi.org/10.1177/21582440211023173

Ellis, C. (2017). The importance of e-portfolios for effective student-facing learning analytics. In E-Portfolios in Higher Education (pp. 35–49). Springer Singapore. https://doi.org/10.1007/978-981-10-3803-7_3

Eyal, Y. (2020). Self-assessment variables as a source of information in the evaluation of intervention programs: A theoretical and methodological framework. SAGE Open, 10(1). https://doi.org/10.1177/2158244019898815

Fatimah, S., Elzamzami, A. B., & Slamet, J. (2020). Item analysis of final test for the 9th grade students of SMPN 44 Surabaya in the academic year of 2019/2020. JournEEL (Journal of English Education and Literature), 2(1), 34-46.

Haerens, L., Aelterman, N., Vansteenkiste, M., Soenens, B., & van Petegem, S. (2015). Do perceived autonomy-supportive and controlling teaching relate to physical education students’ motivational experiences through unique pathways? Distinguishing between the bright and dark side of motivation. Psychology of Sport and Exercise, 16, 26–36. https://doi.org/10.1016/j.psychsport.2014.08.013

Haw, J. Y., King, R. B., & Trinidad, J. E. R. (2021). Need supportive teaching is associated with greater reading achievement: What the Philippines can learn from PISA 2018. International Journal of Educational Research, 110, 101864. https://doi.org/10.1016/j.ijer.2021.101864

Hidayati, D. (2023). Assessment of project-based learning: Evaluating its impact on students’ writing proficiency and academic outcomes. English Language and Literature in Education Journal, 1(1), 1-11. https://doi.org/10.63011/ep6nnx37

Hidayati, D., Novianti, H., Khansa, M., Slamet, J., & Suryati, N. (2023). Effectiveness project-based learning in ESP class: Viewed from Indonesian students’ learning outcomes. International Journal of Information and Education Technology, 13(3), 558-565.

Kiefer, S. M., Alley, K. M., & Ellerbrock, C. R. (2015). Teacher and peer support for young adolescents’ motivation, engagement, and school belonging. RMLE Online, 38(8), 1–18. https://doi.org/10.1080/19404476.2015.11641184

Leenknecht, M. J. M., Wijnia, L., Loyens, S. M. M., & Rikers, R. M. J. P. (2017). Need-supportive teaching in higher education: Configurations of autonomy support, structure, and involvement. Teaching and Teacher Education, 68, 134–142. https://doi.org/10.1016/j.tate.2017.08.020

Mendoza, N. B., & Yan, Z. (2021). Validation of a subject-specific student self-assessment practice scale (SaPS) among secondary school students in the Philippines. Journal of Psychoeducational Assessment, 39(4), 481–493. https://doi.org/10.1177/0734282921994374

Mendoza, N. B., Yan, Z., & King, R. B. (2022). Domain-specific motivation and self-assessment practice as mechanisms linking perceived need-supportive teaching to student achievement. European Journal of Psychology of Education, 0123456789. https://doi.org/10.1007/s10212-022-00620-1

Mursid, R., Muslim., & Farihah. (2023). Collaboration-based development model e-learning on course learning achievements working skills. International Journal of Instruction, 16(2), 307-328. https://doi.org/10.29333/iji.2023.16218a

Occhino, J. L., Mallett, C. J., Rynne, S. B., & Carlisle, K. N. (2014). Autonomy-supportive pedagogical approach to sports coaching: Research, challenges and opportunities. International Journal of Sports Science & Coaching, 9(2), 401–415. https://doi.org/10.1260/1747-9541.9.2.401

Olivier, E., Galand, B., Morin, A. J. S., & Hospel, V. (2021). Need-supportive teaching and student engagement in the classroom: Comparing the additive, synergistic, and global contributions. Learning and Instruction, 71, 101389. https://doi.org/10.1016/j.learninstruc.2020.101389

Panadero, E., Brown, G. T. L., & Strijbos, J. W. (2016). The future of student self-assessment: A review of known unknowns and potential directions. Educational Psychology Review, 28(4), 803–830. https://doi.org/10.1007/s10648-015-9350-2

Panadero, E., Jonsson, A., & Botella, J. (2017). Effects of self-assessment on self-regulated learning and self-efficacy: Four meta-analyses. Educational Research Review, 22, 74–98. https://doi.org/10.1016/j.edurev.2017.08.004

Pang, N. S. K. (2022). Teachers’ reflective practices in implementing assessment for learning skills in classroom teaching. ECNU Review of Education, 5(3), 470–490. https://doi.org/10.1177/2096531120936290

Rasooli, A., Rasegh, A., Zandi, H., & Firoozi, T. (2022). Teachers’ conceptions of fairness in classroom assessment: An empirical study. Journal of Teacher Education. https://doi.org/10.1177/00224871221130742

Redmond, P., Smart, V., Powell, A., & Albion, P. (2021). Primary teachers’ self-assessment of their confidence in implementing digital technologies curriculum. Educational Technology Research and Development, 69(5), 2895–2915. https://doi.org/10.1007/s11423-021-10043-2

Reeve, J. (2016). Autonomy-supportive teaching: What it is, how to do it. In Building Autonomous Learners (pp. 129–152). Springer Singapore. https://doi.org/10.1007/978-981-287-630-0_7

Regan, L. O., & Brown, M. (2016). Technology- Enabled Feedback in the First Year (Issue May). https://doi.org/10.13140/RG.2.1.2274.7762

Romsi, A., Widodo, J. P., & Slamet, J. (2024). Empowering slow learners: Gamification’s impact on students’ engagement and academic performance in an LMS for undergraduate students. International Journal of Information and Education Technology, 14(2).

Sabat, Y., & Slamet, J. (2019). Students’ perception towards written feedback of thesis writing advisory at STKIP Sidoarjo. JET (Journal of English Teaching) Adi Buana, 4(1), 63-79.

Slamet, J. (2024). Potential of ChatGPT as a digital language learning assistant: EFL teachers’ and students’ perceptions. Discover Artificial Intelligence, 4(1), 46. https://doi.org/10.1007/s44163-024-00143-2

Slamet, J., & Basthomi, Y. (2024). Assessing gamification-based LMS for EFL students: A self-directed learning framework. Studies in Linguistics, Culture & FLT, 12(2). https://doi/org/10.46687/CVHT3942

Slamet, J., Basthomi, Y., Ivone, F. M., & Eliyanah, E. (2024a). Unlocking the potential in a gamification-based MOOC: Assessing autonomous learning and self-directed learning behaviors. Teaching and Learning Inquiry, 12, 1–20. https://doi.org/10.20343/teachlearninqu.12.19

Slamet, J., Basthomi, Y., Ivone, F. M., & Eliyanah, E. (2024b). Utilizing an SDL approach in designing a gamification-based MOOC to enhance autonomous learning. Journal of Information Technology Education: Research, 23, Article 10. https://doi.org/10.28945/5278

Slamet, J., & Fatimah, S. (2022). Quizizz application-based English learning materials assessment instrument development. In International Conference on Art, Design, Education and Cultural Studies (ICADECS) (Vol. 4, No. 1).

Slamet, J., & Mukminatien, N. (2024). Developing an online formative assessment instrument for listening skill through LMS. LEARN Journal: Language Education and Acquisition Research Network, 17(1), 188-211.

Slamet, J., Sabat, Y., & Prasetyo, Y. (2019). Students’ perceptions toward lecturers’ written feedback of thesis writing advisory on the 7th semester students at STKIP PGRI Sidoarjo (Doctoral dissertation, STKIP PGRI SIDOARJO).

Slamet, J., & Sulistyaningsih, S. (2021). Students’ difficulties in answering “Structure and Written Expression” TOEFL-like at STKIP PGRI Sidoarjo. E-Structural (English Studies on Translation, Culture, Literature, and Linguistics), 4(01), 17-27.

Seufert, S., Meier, C., Soellner, M., & Rietsche, R. (2019). A pedagogical perspective on big data and learning analytics: A conceptual model for digital learning support. Technology, Knowledge and Learning, 24(4), 599–619. https://doi.org/10.1007/s10758-019-09399-5

Stroet, K., Opdenakker, M.-C., & Minnaert, A. (2013). Effects of need supportive teaching on early adolescents’ motivation and engagement: A review of the literature. Educational Research Review, 9, 65–87. https://doi.org/10.1016/j.edurev.2012.11.003

Tas, Y. (2016). The contribution of perceived classroom learning environment and motivation to student engagement in science. European Journal of Psychology of Education, 31(4), 557–577. https://doi.org/10.1007/s10212-016-0303-z

Tempelaar, D. T., Rienties, B., & Giesbers, B. (2015). In search for the most informative data for feedback generation: Learning analytics in a data-rich context. Computers in Human Behavior, 47, 157–167. https://doi.org/10.1016/j.chb.2014.05.038

Tormey, R., Hardebolle, C., Pinto, F., & Jermann, P. (2020). Designing for impact: a conceptual framework for learning analytics as self-assessment tools. Assessment & Evaluation in Higher Education, 45(6), 901–911. https://doi.org/10.1080/02602938.2019.1680952

Vansteenkiste, M., Sierens, E., Goossens, L., Soenens, B., Dochy, F., Mouratidis, A., Aelterman, N., Haerens, L., & Beyers, W. (2012). Identifying configurations of perceived teacher autonomy support and structure: Associations with self-regulated learning, motivation and problem behavior. Learning and Instruction, 22(6), 431–439. https://doi.org/10.1016/j.learninstruc.2012.04.002

Wang, J. C. K., Ng, B. L. L., Liu, W. C., & Ryan, R. M. (2016). Can being autonomy-supportive in teaching improve students’ self-regulation and performance? In Building Autonomous Learners (pp. 227–243). Springer Singapore. https://doi.org/10.1007/978-981-287-630-0_12

Webb, M. E., Prasse, D., Phillips, M., Kadijevich, D. M., Angeli, C., Strijker, A., Carvalho, A. A., Andresen, B. B., Dobozy, E., & Laugesen, H. (2018). Challenges for IT-enabled formative assessment of complex 21st century skills. Technology, Knowledge and Learning, 23(3), 441–456. https://doi.org/10.1007/s10758-018-9379-7

Widodo, J. P., Musyarofah, L., Atmaja, I. W. W., & Slamet, J. (2023, July). Effectiveness eLSIDA as a Moodle-based LMS on the slow learners’ achievements. In 3rd International Conference on Education and Technology (ICETECH 2022) (pp. 40-49). Atlantis Press.

Wise, A. F. (2019). Learning Analytics: Using data-informed decision-making to improve teaching and learning. In Contemporary Technologies in Education (pp. 119–143). Springer International Publishing. https://doi.org/10.1007/978-3-319-89680-9_7

Downloads

Published

2024-10-01

How to Cite

Hidayati, D. (2024). Integrating Student Self-Assessment as a Key Instrument for Achieving Need-Supportive Learning Outcomes. English Language and Literature in Education Journal, 2(2), 24-41. https://doi.org/10.63011/jxnqsj70