Representation-driven mixed initiative in computer supported collaborative learning in secondary education

Marco Kragten, Monique Pijls, Emile Jaspar, Malou Sprinkhuizen, Bert Bredeweg

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


We investigate a computer supported approach in which pairs co-con-struct a qualitative representation of the dynamics of the industrial revolution in a shared workspace. A key feature of this approach concerns the use of a meta-vocabulary for representing cause-and-effect relationships that facilitates the use of a predefined norm-representation to automatically steer the collaborative learning process. In particular, it provides focus on the set of ingredients that the learners should use. Additionally, the workspace offers each learner pair information about progress and content-related support. An evaluation study was executed in a real classroom. A workbook provided information for constructing the representation and gave advise on how to approach this task together. How-ever, most pairs took an alternative approach and divided their actions in the shared workspace in an unbalanced way. Three types of task division occurred that showed differences in the number of errors and the number of requests for support. From this result, we formulate future directions for the development of a pedagogical approach that stimulates collaborative learning with qualitative representations and the support offered by the software.
Original languageEnglish
Title of host publicationEducating for a new future
Subtitle of host publicationmaking sense of technology-enhanced learning adoption
EditorsIsabel Hilliger, Pedro J. Muñoz-Merino, Tinne De Laet, Alejandro Ortega-Arranz, Tracie Farrell
Place of PublicationCham
ISBN (Electronic)9783031162909
ISBN (Print)9783031162893
Publication statusPublished - 2022
Event17th European Conference on Technology Enhanced Learning: Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption - Toulouse, France
Duration: 13 Sept 202216 Sept 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13450 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th European Conference on Technology Enhanced Learning
Abbreviated titleEC-TEL2022
Internet address


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