Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems
Published in LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023
Recommended citation: van Haastrecht, M., Brinkhuis, M., Peichl, J., Remmele, B., & Spruit, M. (2023). "Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems." LAK 2023: 13th International Learning Analytics and Knowledge Conference, 552--558. https://doi.org/10.1145/3576050.3576060
A short paper resulting from a collaboration with our colleagues from the University of Education in Freiburg, Germany. We argue that the field of learning analytics needs to embrace interpretivistic criteria such as trustworthiness and authenticity when validating learning analytics systems.