Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF)

Gayane  Sedrakyan; Sebastian Maximilian Dennerlein; Viktoria Pammer-Schindler; Stefanie Lindstaedt

doi:10.1007/978-3-030-57717-9_42

Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF)

Gayane Sedrakyan, Sebastian Maximilian Dennerlein, Viktoria Pammer-Schindler, Stefanie Lindstaedt

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Abstract

Our earlier research attempts to close the gap between learning behavior analytics based dashboard feedback and learning theories by grounding the idea of dashboard feedback onto learning science concepts such as feedback, learning goals, (socio-/meta-) cognitive mechanisms underlying learning processes. This work extends the earlier research by proposing mechanisms for making those concepts and relationships measurable. The outcome is a complementary framework that allows identifying feedback needs and timing for their provision in a generic context that can be applied to a certain subject in a given LMS. The research serves as general guidelines for educators in designing educational dashboards, as well as a starting research platform in the direction of systematically matching learning sciences concepts with data and analytics concepts.

Original language	English
Title of host publication	Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings
Editors	Carlos Alario-Hoyos, María Jesús Rodríguez-Triana, Maren Scheffel, Inmaculada Arnedillo-Sánchez, Sebastian Maximilian Dennerlein
Pages	443-448
Number of pages	6
DOIs	https://doi.org/10.1007/978-3-030-57717-9_42
Publication status	Published - 1 Jan 2020
Event	15th European Conference on Technology-Enhanced Learning: EC-TEL-Impact 2020 - Virtuell, Heidelberg, Germany Duration: 14 Sept 2020 → 18 Sept 2020 Conference number: 15 http://www.ec-tel.eu/index.php?id=957

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12315 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th European Conference on Technology-Enhanced Learning
Abbreviated title	ECTEL 2020
Country/Territory	Germany
City	Virtuell, Heidelberg
Period	14/09/20 → 18/09/20
Internet address	http://www.ec-tel.eu/index.php?id=957

Keywords

Dashboards
Feedback automation
Learning analytics
Measuring learning progress
Process-oriented feedback

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-57717-9_42

Cite this

Sedrakyan, G., Dennerlein, S. M., Pammer-Schindler, V., & Lindstaedt, S. (2020). Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). In C. Alario-Hoyos, M. J. Rodríguez-Triana, M. Scheffel, I. Arnedillo-Sánchez, & S. M. Dennerlein (Eds.), Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings (pp. 443-448). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12315 LNCS). https://doi.org/10.1007/978-3-030-57717-9_42

Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). / Sedrakyan, Gayane ; Dennerlein, Sebastian Maximilian; Pammer-Schindler, Viktoria et al.
Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings. ed. / Carlos Alario-Hoyos; María Jesús Rodríguez-Triana; Maren Scheffel; Inmaculada Arnedillo-Sánchez; Sebastian Maximilian Dennerlein. 2020. p. 443-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12315 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Sedrakyan, G, Dennerlein, SM, Pammer-Schindler, V & Lindstaedt, S 2020, Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). in C Alario-Hoyos, MJ Rodríguez-Triana, M Scheffel, I Arnedillo-Sánchez & SM Dennerlein (eds), Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12315 LNCS, pp. 443-448, 15th European Conference on Technology-Enhanced Learning, Virtuell, Heidelberg, Germany, 14/09/20. https://doi.org/10.1007/978-3-030-57717-9_42

Sedrakyan G, Dennerlein SM, Pammer-Schindler V , Lindstaedt S. Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). In Alario-Hoyos C, Rodríguez-Triana MJ, Scheffel M, Arnedillo-Sánchez I, Dennerlein SM, editors, Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings. 2020. p. 443-448. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-57717-9_42

Sedrakyan, Gayane ; Dennerlein, Sebastian Maximilian ; Pammer-Schindler, Viktoria et al. / Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF). Addressing Global Challenges and Quality Education - 15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings. editor / Carlos Alario-Hoyos ; María Jesús Rodríguez-Triana ; Maren Scheffel ; Inmaculada Arnedillo-Sánchez ; Sebastian Maximilian Dennerlein. 2020. pp. 443-448 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Measuring Learning Progress for Serving Immediate Feedback Needs: Learning Process Quantification Framework (LPQF)

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Keywords

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