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Yacobson, Elad; Fuhrman, Orly; Hershkowitz, Sara; Alexandron, Giora – Journal of Learning Analytics, 2021
Learning analytics have the potential to improve teaching and learning in K-12 education, but as student data is increasingly being collected and transferred for the purpose of analysis, it is important to take measures that will protect student privacy. A common approach to achieve this goal is the de-identification of the data, meaning the…
Descriptors: Identification, Privacy, Field Trips, Learning Analytics
Alexandron, Giora; Yoo, Lisa Y.; Ruipérez-Valiente, José A.; Lee, Sunbok; Pritchard, David E. – International Journal of Artificial Intelligence in Education, 2019
The rich data that Massive Open Online Courses (MOOCs) platforms collect on the behavior of millions of users provide a unique opportunity to study human learning and to develop data-driven methods that can address the needs of individual learners. This type of research falls into the emerging field of "learning analytics." However,…
Descriptors: Online Courses, Data Collection, Learning Analytics, Reliability