Using the Repertory Grid Technique in a Co-design Process for Learning Analytics: Conceptualisation and Connection to 21st Century Skills

Conference paper


Karkalas, S., Chalvatza, F., Mavrikis, M. and Nikolaou, M.S. 2024. Using the Repertory Grid Technique in a Co-design Process for Learning Analytics: Conceptualisation and Connection to 21st Century Skills. International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning. Springer Nature. https://doi.org/10.1007/978-3-031-73538-7_29
AuthorsKarkalas, S., Chalvatza, F., Mavrikis, M. and Nikolaou, M.S.
TypeConference paper
Abstract

This paper introduces an innovative approach to designing
data requirements for the development of learning analytics tailored to diverse, constructionist, open learning tools. Leveraging the Repertory Grid Technique, we systematically elicited and analyzed stakeholders’personal constructs to inform evidence-based user-centered design specifications. Through requirements elicitation workshops with educators, we uncovered essential information pertaining to teacher perceptions about student interactions with exploratory learning tools and their alignment with 21st-century skills. The process yielded concepts in relation to tool-specific indicators of learner interactions, forming a comprehensive design specification for a customizable learning analytics tool. Initial feedback from stakeholders and learning analytics experts indicates strong alignment with implementation needs and a coherent synthesis of diverse perspectives. Future steps include evaluating the effectiveness of the designed tools through real-world implementation and practitioner feedback, further validating the efficacy of this design approach.

KeywordsLearning Analytics; Repertory Grid Technique; User-centered Design; 21st-century Skills; Exploratory Learning Environments
Year2024
ConferenceInternational Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning
PublisherSpringer Nature
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-73538-7_29
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-031-73538-7_29
Accepted author manuscript
License
All rights reserved
File Access Level
Open
ISBN978-3-031-73538-7
Output statusPublished
Publication dates
Online28 Dec 2024
Publication process dates
Deposited14 Feb 2025
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