Opportunities and challenges in using Learning Analytics in Learning Design

Marcel Schmitz, Evelien Van Limbeek, Wolfgang Greller, Peter Sloep, Hendrik Drachsler

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Educational institutions are designing, creating and evaluating courses to optimize learning outcomes for highly diverse student populations. Yet, most of the delivery is still monitored retrospectively with summative evaluation forms. Therefore, improvements to the course design are only implemented at the very end of a course, thus missing to benefit the current cohort. Teachers find it difficult to interpret and plan interventions just-in-time. In this context, Learning Analytics (LA) data streams gathered from ‘authentic’ student learning activities, may provide new opportunities to receive valuable information on the students' learning behaviors and could be utilised to adjust the learning design already "on the fly" during runtime. We presume that Learning Analytics applied within Learning Design (LD) and presented in a learning dashboard provide opportunities that can lead to more personalized learning experiences, if implemented thoughtfully. In this paper, we describe opportunities and challenges for using LA in LD. We identify three key opportunities for using LA in LD: (O1) using on demand indicators for evidence based decisions on learning design; (O2) intervening during the run-time of a course; and, (O3) increasing student learning outcomes and satisfaction. In order to benefit from these opportunities, several challenges have to be overcome. We mapped the identified opportunities and challenges in a conceptual model that considers the interaction of LA in LD.
Original languageEnglish
Title of host publicationData Driven Approaches in Digital Education.
Subtitle of host publication12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12–15, 2017, Proceedings
EditorsÉ. Lavoué, H. Drachsler, K. Verbert, J. Broisin, M. Pérez-Sanagustín
ISBN (Electronic)978-3-319-66610-5
ISBN (Print)978-3-319-66609-9
Publication statusPublished - 1 Sep 2017
Event12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia
Duration: 12 Sep 201715 Sep 2017

Publication series

SeriesLecture Notes in Computer Science


Conference12th European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL 2017
Internet address


  • Learning Analytics
  • Learning Design
  • Learning Dashboards
  • meta-cognitive competences
  • feedback
  • reflection
  • run-time
  • Learning Activity

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