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User Behavior Pattern Detection in Unstructured Processes -- A Learning Management System Case Study
Peer reviewed
Direct linkCodish, David; Rabin, Eyal; Ravid, Gilad – Interactive Learning Environments, 2019
Process mining methodologies are designed to uncover underlying business processes, deviations from them, and in general, usage patterns. One of the key limitations of these methodologies is that they struggle in cases in which there is no structured process, or when a process can be performed in many ways. Learning Management Systems are a…
Descriptors: Integrated Learning Systems, Case Studies, Behavior Patterns, Learning Analytics
Aguilar, J.; Buendia, O.; Pinto, A.; Gutiérrez, J. – Interactive Learning Environments, 2022
Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…
Descriptors: Learning Analytics, Cognitive Style, Socialization, Social Networks
Er, Erkan; Gómez-Sánchez, Eduardo; Dimitriadis, Yannis; Bote-Lorenzo, Miguel L.; Asensio-Pérez, Juan I.; Álvarez-Álvarez, Susana – Interactive Learning Environments, 2019
This paper presents the findings of a mixed-methods research that explored the potentials emerging from aligning learning design (LD) and learning analytics (LA) during the design of a predictive analytics solution and from involving the instructors in the design process. The context was a past massive open online course, where the learner data…
Descriptors: Alignment (Education), Learning Analytics, Instructional Design, Teacher Participation
