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Formative assessment and learning analytics

Published: 08 April 2013 Publication History

Abstract

Learning analytics seeks to enhance the learning process through systematic measurements of learning related data, and informing learners and teachers of the results of these measurements, so as to support the control of the learning process. Learning analytics has various sources of information, two main types being intentional and learner activity related metadata [1]. This contribution aims to provide a practical application of Shum and Crick's theoretical framework [1] of a learning analytics infrastructure that combines learning dispositions data with data extracted from computer-based, formative assessments. The latter data component is derived from one of the educational projects of ONBETWIST, part of the SURF program 'Testing and Test Driven Learning'.

References

[1]
Buckingham, S. S. & Deakin, C. R. (2012). Learning Dispositions and Transferable Competencies: Pedagogy, Modelling and Learning Analytics. Proceedings LAK2012: 2nd International Conference on Learning Analytics & Knowledge, pp. 92--101. ACM Press: New York
[2]
SURF (2010). Programma Toetsing en Toetsgestuurd Leren. http://www.surf.nl/nl/themas/innovatieinonderwijs/toetsen/Documents/Projectplan%20PROGRAMMA%20TOETSING%20EN%20TOETSGESTUURD%20LEREN.pdf
[3]
Tempelaar, D. T., Kuperus, B., Cuypers, H., Van der Kooij, H., Van de Vrie, E. M., & Heck, A. (2012). "The Role of Digital, Formative Testing in e-Learning for Mathematics: A Case Study in the Netherlands". In: "Mathematical e-learning" {online dossier}. Universities and Knowledge Society Journal (RUSC), 9(1). UoC.
[4]
Verbert, K., Manouselis, N., Drachsler, H., & Duval, E. (2012). Dataset-Driven Research to Support Learning and Knowledge Analytics. Educational Technology & Society, 15 (3), 133--148.
[5]
Whitmer, J., Fernandes, K., & Allen, W. R. (2012). Analytics in Progress: Technology Use, Student Characteristics, and Student Achievement. EDUCAUSE Review Online, July.
[6]
Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. Revised and expanded third edition. Maidenhead: McGraw-Hill.
[7]
Vermunt, J. D. (1996). Leerstijlen en sturen van leerprocessen in het Hoger Onderwijs. Amsterdam/Lisse: Swets & Zeitlinger.
[8]
Martin, A. J. (2007). Examining a multidimensional model of student motivation and engagement using a construct validation approach. British Journal of Educational Psychology, 77, 413--440.
[9]
Pekrun, R. (2006). The control-value theory of achievement emotions: Assumptions, corollaries, and implications for educational research and practice. Educational Psychology Review, 18, 315--34.

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    cover image ACM Conferences
    LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge
    April 2013
    300 pages
    ISBN:9781450317856
    DOI:10.1145/2460296
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 08 April 2013

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    Author Tags

    1. blended learning
    2. formative assessment
    3. learning analytics
    4. learning dispositions
    5. student profiles
    6. test directed learning

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    • SURF foundation

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    LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;
    Overall Acceptance Rate 236 of 782 submissions, 30%

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    • (2024)Dispositional learning analytics and formative assessment: an inseparable twinshipInternational Journal of Educational Technology in Higher Education10.1186/s41239-024-00489-821:1Online publication date: 9-Oct-2024
    • (2024)Using Large Language Models To Diagnose Math Problem-solving Skills At ScaleProceedings of the Eleventh ACM Conference on Learning @ Scale10.1145/3657604.3664697(471-475)Online publication date: 9-Jul-2024
    • (2023)How Learning Analytics Can Help Orchestration of Formative Assessment? Data-Driven Recommendations for Technology- Enhanced LearningIEEE Transactions on Learning Technologies10.1109/TLT.2023.326552816:5(804-819)Online publication date: Oct-2023
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    • (2022)Formative assessment strategies for students' conceptions—The potential of learning analyticsBritish Journal of Educational Technology10.1111/bjet.1328854:1(58-75)Online publication date: 22-Nov-2022
    • (2022)Standing on the shoulders of giants: Online formative assessments as the foundation for predictive learning analytics modelsBritish Journal of Educational Technology10.1111/bjet.1327654:1(19-39)Online publication date: 12-Sep-2022
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    • (2022)Off the mark: Repetitive marking undermines essay evaluations due to boredomMotivation and Emotion10.1007/s11031-022-09929-246:2(264-275)Online publication date: 31-Jan-2022
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