Journals / International Journal of Assessment Tools in Education / 2022 / Cilt: 9 - Sayı: 2

Towards an Online Self-Assessment for Informed Study Decisions–A Mixed-Methods Validation Study

Pages
376–396
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results show different response processes depending on the type of subtest that is taken.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Informed study decisions are pivotal for student retention in higher online education.
📊
Key Findings & Data:A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention.
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Conclusion & Impact:Results show different response processes depending on the type of subtest that is taken.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Study decisions · Self-assessment · Validity

Abstract

Informed study decisions are pivotal for student retention in higher online education. A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention. To determine whether such a self-assessment affects the decision-making process as intended, thorough and careful validation is a necessity. This study reports on two validity aspects that are less commonly addressed in that respect, but essential for evaluating effectiveness: response processes and consequences of (self-) testing. To map the response processes and consequences of the current self-assessment, a mixed-methods approach was used in which eight prospective students took a self-assessment in an observed think-aloud mode and were interviewed before and after that. Results show different response processes depending on the type of subtest that is taken. The results also indicate that consequential aspect of validity must be considered in the context of decision-making phases. The demonstrated evidence and possible threats to validity are discussed in light of refining the self-assessment and embedding it in counselling practice.

Özet

Informed study decisions are pivotal for student retention in higher online education. A self-assessment prior to enrolment has been proposed as a promising approach to enable informed decision-making and to build resources for retention. To determine whether such a self-assessment affects the decision-making process as intended, thorough and careful validation is a necessity. This study reports on two validity aspects that are less commonly addressed in that respect, but essential for evaluating effectiveness: response processes and consequences of (self-) testing. To map the response processes and consequences of the current self-assessment, a mixed-methods approach was used in which eight prospective students took a self-assessment in an observed think-aloud mode and were interviewed before and after that. Results show different response processes depending on the type of subtest that is taken. The results also indicate that consequential aspect of validity must be considered in the context of decision-making phases. The demonstrated evidence and possible threats to validity are discussed in light of refining the self-assessment and embedding it in counselling practice.

🔖

Cite This Article

DELNOİJ, L., JANSSEN, J. P. W., DİRKX, K. J. H., MARTENS, R. L. (2022). Towards an Online Self-Assessment for Informed Study Decisions–A Mixed-Methods Validation Study. International Journal of Assessment Tools in Education, Cilt: 9 - Sayı: 2, 376–396. https://ajindex.com/articles/540016

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References (10)

  1. Abbasi, N., & Ghosh, S. (2020). Construction and standardization of examination anxiety scale for adolescent students. International Journal of Assessment Tools in Education, 7(4), 522-534. https://doi.org/10.21449/ijate.793084. American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (1999). Standards for educational and psychological testing. American Psychological Association. Bandura, A. (1977). Self efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
  2. Beckman, T.J., Cook et al., D.A., & Mandrekar, J.N. (2005). What is the validity evidence for assessments of clinical teaching? Journal of General Internal Medicine, 20(12), 1159-1164. https://doi.org/10.1111/j.1525-1497.2005.0258.x
  3. Borghans, L., Golsteyn, B., & Stenberg, A. (2015). Does expert advice improve educational choice? PLoS One, 10(12), Article e0145378. https://doi.org/10.1371/journal.pone.0145378
  4. Broos, T., Verbert, K., Langie, G., Van Soom, C., & De Laet, T. (2018). Multi-institutional positioning test feedback dashboard for aspiring students: lessons learnt from a case study in Flanders. Proceedings of the 8th International Conference on learning Analytics and Knowledge, 51-55. https://doi.org/10.1145/3170358.3170419
  5. Broos, T., Pinxten, M., Delporte, M., Verbert, K., & De Laet, T. (2019). Learning dashboards at scale: early warning and overall first year experience. Assessment & Evaluation in Higher Education, 45(6), 1–20. https://doi.org/10.1080/02602938.2019.1689546
  6. Charters, E. (2003). The use of think-aloud methods in qualitative research an introduction to think-aloud methods. Brock Education: A Journal of Educational Research and Practice, 12(2), 68-82. https://doi.org/10.26522/brocked.v12I2.38
  7. Cobern, W.W., & Adams, B.A. (2020). When interviewing: how many is enough?. International Journal of Assessment Tools in Education, 7(1), 73 79. https://dx.doi.org/10.21449/ijate.693217.
  8. Cohen, A.D. (2006). The coming age of research on test-taking strategies. Language Assessment Quarterly, 3(4), 307-331. https://doi.org/10.1080/15434300701333129
  9. Cook, D.A., Zendejas, B., Hamstra, S. J., Hatala, R., & Brydges, R. (2014). What counts as validity evidence? Examples and prevalence in a systematic review of simulation-based assessment. Advances in Health Sciences Education, 19(2), 233 250. https://doi.org/10.1007/s10459-013-9458-4
  10. Creswell, J.W. (2014). Educational research: Planning, con