research-article

Formative assessment and learning analytics

Authors:

Evert van de VrieAuthors Info & Claims

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

Pages 205 - 209

https://doi.org/10.1145/2460296.2460337

Published: 08 April 2013 Publication History

Get Access

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

Digital Library

Google Scholar

[2]

SURF (2010). Programma Toetsing en Toetsgestuurd Leren. http://www.surf.nl/nl/themas/innovatieinonderwijs/toetsen/Documents/Projectplan%20PROGRAMMA%20TOETSING%20EN%20TOETSGESTUURD%20LEREN.pdf

Google Scholar

[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.

Google Scholar

[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.

Google Scholar

[5]

Whitmer, J., Fernandes, K., & Allen, W. R. (2012). Analytics in Progress: Technology Use, Student Characteristics, and Student Achievement. EDUCAUSE Review Online, July.

Google Scholar

[6]

Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind. Revised and expanded third edition. Maidenhead: McGraw-Hill.

Google Scholar

[7]

Vermunt, J. D. (1996). Leerstijlen en sturen van leerprocessen in het Hoger Onderwijs. Amsterdam/Lisse: Swets & Zeitlinger.

Google Scholar

[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.

Crossref

Google Scholar

[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.

Crossref

Google Scholar

Cited By

View all

Dawarka V(2024)Enhancing Workforce PreparednessRevitalizing Student Skills for Workforce Preparation10.4018/979-8-3693-3856-8.ch004(121-160)Online publication date: 27-Sep-2024
https://doi.org/10.4018/979-8-3693-3856-8.ch004
Tempelaar DRienties BGiesbers B(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
https://doi.org/10.1186/s41239-024-00489-8
Jin HKim YPark YTilekbay BSon JKim JJoyner DKim MWang XXia M(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
https://dl.acm.org/doi/10.1145/3657604.3664697
Show More Cited By

Index Terms

Formative assessment and learning analytics
1. Applied computing
  1. Education
    1. Computer-assisted instruction

Recommendations

Student profiling in a dispositional learning analytics application using formative assessment

How learning disposition data can help us translating learning feedback from a learning analytics application into actionable learning interventions, is the main focus of this empirical study. It extends previous work (Tempelaar, Rienties, & Giesbers, ...
In search for the most informative data for feedback generation

Formative assessment data have high predictive power in generating learning feedback.Track data from e-tutorial systems are second-best predictors for timely feedback.Predictive power of LMS data falls short in LA applications with rich data ...
Online formative assessment in higher education: A review of the literature

As online and blended learning has become common place educational strategy in higher education, educators need to reconceptualise fundamental issues of teaching, learning and assessment in non traditional spaces. These issues include concepts such as ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

LAK '13: Proceedings of the Third International Conference on Learning Analytics and Knowledge

April 2013

300 pages

ISBN:9781450317856

DOI:10.1145/2460296

Editors:
Dan Suthers
University of Hawaii, USA
,
Katrien Verbert
Eindhoven University of Technology, The Netherlands
,
Erik Duval
University of Leuven, Belgium
,
Xavier Ochoa
Escuela Superior Politécnica del Litoral, Ecuador

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

SURF foundation

Conference

LAK '13

Sponsor:

SIGWEB
K.U. Leuven
SIGCHI

LAK '13: Third Conference on Learning Analytics and Knowledge

April 8 - 13, 2013

Leuven, Belgium

Acceptance Rates

LAK '13 Paper Acceptance Rate 16 of 58 submissions, 28%;

Overall Acceptance Rate 236 of 782 submissions, 30%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

45
Total Citations
View Citations
1,274
Total Downloads

Downloads (Last 12 months)82
Downloads (Last 6 weeks)10

Reflects downloads up to 20 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Dawarka V(2024)Enhancing Workforce PreparednessRevitalizing Student Skills for Workforce Preparation10.4018/979-8-3693-3856-8.ch004(121-160)Online publication date: 27-Sep-2024
https://doi.org/10.4018/979-8-3693-3856-8.ch004
Tempelaar DRienties BGiesbers B(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
https://doi.org/10.1186/s41239-024-00489-8
Jin HKim YPark YTilekbay BSon JKim JJoyner DKim MWang XXia M(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
https://dl.acm.org/doi/10.1145/3657604.3664697
Atabay MÇakıroğlu Ü(2024)Understanding online self-regulation: A data-driven approach to LMS interaction indicatorsEducation and Information Technologies10.1007/s10639-024-13136-6Online publication date: 13-Nov-2024
https://doi.org/10.1007/s10639-024-13136-6
Andriamiseza RSilvestre FParmentier JBroisin J(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
https://doi.org/10.1109/TLT.2023.3265528
Rodríguez‐Martínez JGonzález‐Calero Jdel Olmo‐Muñoz JArnau DTirado‐Olivares S(2022)Building personalised homework from a learning analytics based formative assessment: Effect on fifth‐grade students' understanding of fractionsBritish Journal of Educational Technology10.1111/bjet.1329254:1(76-97)Online publication date: 2-Dec-2022
https://doi.org/10.1111/bjet.13292
Stanja JGritz WKrugel JHoppe ADannemann S(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
https://doi.org/10.1111/bjet.13288
Bulut OGorgun GYildirim‐Erbasli SWongvorachan TDaniels LGao YLai KShin J(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
https://doi.org/10.1111/bjet.13276
Sun ZTheussen A(2022)Assessing negotiation skill and its development in an online collaborative simulation game: A social network analysis studyBritish Journal of Educational Technology10.1111/bjet.1326354:1(222-246)Online publication date: 7-Aug-2022
https://doi.org/10.1111/bjet.13263
Harpur PHyseni FBlanck P(2022)Workplace health surveillance and COVID-19: algorithmic health discrimination and cancer survivorsJournal of Cancer Survivorship10.1007/s11764-021-01144-116:1(200-212)Online publication date: 2-Feb-2022
https://doi.org/10.1007/s11764-021-01144-1
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Student profiling in a dispositional learning analytics application using formative assessment

In search for the most informative data for feedback generation

Online formative assessment in higher education: A review of the literature