Co-Developing an Easy-to-Use Learning Analytics Dashboard for Teachers in Primary/Secondary Education: A Human-Centered Design Approach

Author:

Mohseni Zeynab (Artemis)1ORCID,Masiello Italo1ORCID,Martins Rafael M.1

Affiliation:

1. Department of Computer Science and Media Technology, Linnaeus University, 351 95 Växjö, Sweden

Abstract

Learning Analytics Dashboards (LADs) can help provide insights and inform pedagogical decisions by supporting the analysis of large amounts of educational data, obtained from sources such as Digital Learning Materials (DLMs). Extracting requirements is a crucial step in developing a LAD, as it helps identify the underlying design problem that needs to be addressed. In fact, determining the problem that requires a solution is one of the primary objectives of requirements extraction. Although there have been studies on the development of LADs for K12 education, these studies have not specifically emphasized the use of a Human-Centered Design (HCD) approach to better comprehend the teachers’ requirements and produce more stimulating insights. In this paper we apply prototyping, which is widely acknowledged as a successful way for rapidly implementing cost-effective designs and efficiently gathering stakeholder feedback, to elicit such requirements. We present a three-step HCD approach, involving a design cycle that employs paper and interactive prototypes to guide the systematic and effective design of LADs that truly meet teacher requirements in primary/secondary education, actively engaging them in the design process. We then conducted interviews and usability testing to co-design and develop a LAD that can be used in classroom’s everyday learning activities. Our results show that the visualizations of the interactive prototype were easily interpreted by the participants, verifying our initial goal of co-developing an easy-to-use LAD.

Funder

Swedish Research Council for Health, Working Life and Welfare

Växjö Kommun

Publisher

MDPI AG

Subject

Public Administration,Developmental and Educational Psychology,Education,Computer Science Applications,Computer Science (miscellaneous),Physical Therapy, Sports Therapy and Rehabilitation

Reference58 articles.

1. Aruvee, M., Ljalikova, A., Vahter, E., Prieto, L., and Poom-Valickis, K. (2018, January 2–4). Learning analytics to informand guide teachers as designers of educational interventions. Proceedings of the International Conference on Education and Learning Technologies, Palma de Mallorca, Spain.

2. Siemens, G., and Baker, R.S.J.d. (May, January 29). Learning analytics and educational data mining: Towards communication and collaboration. Proceedings of the LAK ‘12: 2nd International Conference on Learning Analytics and Knowledge, Vancouver, BC, Canada.

3. Learning dashboards: An overview and future research opportunities;Verbert;Pers. Ubiquitous Comput.,2014

4. Perceiving learning at a glance: A systematic literature review of learning dashboard research;Schwendimann;IEEE Trans. Learn. Technol.,2016

5. Mohseni, Z., Martins, R.M., and Masiello, I. (2022). SBGTool v2. 0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes. Data, 7.

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