Open AccessA Collaborative Approach to Sharing Learner Event Data
Author(s) -
Andrew E. Krumm,
Jared Boyce,
Howard T. Everson
Publication year - 2021
Publication title -
journal of learning analytics
Language(s) - English
Resource type - Journals
ISSN - 1929-7750
DOI - 10.18608/jla.2021.7375
Subject(s) - computer science , event (particle physics) , data sharing , knowledge management , collaborative learning , educational technology , data science , mathematics education , psychology , medicine , physics , alternative medicine , pathology , quantum mechanics
This paper describes a collaboration organized around exchanging data between two technological systems to support teachers’ instructional decision-making. The goals of the collaboration among researchers, technology developers, and practitioners were not only to support teachers’ instructional decision-making but also to document the challenges and opportunities associated with bringing together data from instruction- and assessment-focused technologies. The approach described in this paper illustrates the potential importance of anchoring data products that combine data between two systems in the needs of teachers as well as aligning the content that students learn and are assessed on between systems. The increasing presence of data standards has made sharing complex data increasingly more feasible. The example collaboration described in this paper demonstrates the role that non-technical activities can play in supporting the exchange and use of learner event data.