Measuring learning progress for serving immediate feedback needs: Learning process quantification framework (lpqf)

Gayane Sedrakyan*, Sebastian Dannerlein, Viktoria Pammer-Schindler, Stefanie Lindstaedt

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-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 languageEnglish
Title of host publicationAddressing Global Challenges and Quality Education
Subtitle of host publication15th European Conference on Technology Enhanced Learning, EC-TEL 2020, Proceedings
EditorsCarlos Alario-Hoyos, María Jesús Rodríguez-Triana, Maren Scheffel, Inmaculada Arnedillo-Sánchez, Sebastian Maximilian Dennerlein
PublisherSpringer
Pages443-448
Number of pages6
ISBN (Electronic)978-3-030-57717-9
ISBN (Print)978-3-030-57716-2
DOIs
Publication statusPublished - 2020
Event15th European Conference on Technology Enhanced Learning, EC-TEL 2020 - Online Event, Heidelberg, Germany
Duration: 14 Sep 202018 Sep 2020
Conference number: 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12315 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th European Conference on Technology Enhanced Learning, EC-TEL 2020
Abbreviated titleEC-TEL 2020
CountryGermany
CityHeidelberg
Period14/09/2018/09/20

Keywords

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

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