Learning analytics in seamless learning environments: a systematic review

ABSTRACTWe implemented a systematic literature review to investigate the trends and issues of learning analytics in seamless learning environments. We collected and analyzed a total of 27 empirical journal articles that study and discuss learning analytics design and implementation in seamless learning environments. In a recent decade, researchers have explored various seamless learning environments supporting students’ inquiry-based and experiential learning. Seamless learning aims to engage students to develop, elaborate, and apply knowledge to various inquiry-based learning contexts. With the significance of formative assessment in digital learning environments, integrating learning analytics into seamless learning environments increasingly evolved to trace and assess student learning. Despite various uses of learning analytics during seamless learning, there is a lack of comprehensive reviews that illustrate how learning analytics has been integrated into seamless learning. This literature synthesis decomposes the collected journal articles to understand learning analytics design and integrations inherent to seamless learning environments. Also, using qualitative thematic analysis, this systematic literature review demonstrates various design practices and future research directions of learning analytics in seamless learning environments.KEYWORDS: Seamless learninglearning analyticseducational data miningthematic analysissystematic literature review Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementThe datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.Additional informationNotes on contributorsJewoong MoonJewoong Moon is an assistant professor of Instructional Technology at the Department of Educational Leadership, Policy, and Technology Studies at the University of Alabama. His research interests include digital game-based learning, inclusive e-learning design, learning analytics, and educational data mining.Daeyeoul LeeDaeyeoul Lee is an instructional designer at Rider University. His research interests are online learning, self-regulated learning, motivation, engineering education, and integration of technology.Gi Woong ChoiGi Woong Choi is an assistant professor of Instructional Design and Technology at University of Cincinnati. His research interests span across exploring educational affordances of technologies.Jooyoung SeoJooYoung Seo is an assistant professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign. His research focuses on accessible computing, non-visual learning/user experience design in STEM + C contexts, and accessible data visualization methods for blind and low-vision learners.Jaewoo DoJaewoo Do is an associate research fellow at Korean Educational Development Institute. His research interests include public online education system, synchronous online course and equity in education.Taehyeong LimTaehyeong Lim is a research professor of the Institute of Educational Research at Chonnam National University, South Korea. His research interests include virtual reality simulation, cognitively optimized learning design, and artificial intelligence convergence education.