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.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3