TY - GEN
T1 - Learning analytics for professional and workplace learning
T2 - 12th European Conference on Technology Enhanced Learning
AU - Ruiz-Calleja, Adolfo
AU - Prieto, Luis P.
AU - Ley, Tobias
AU - Rodríguez-Triana, María Jesús
AU - Dennerlein, Sebastian
PY - 2017
Y1 - 2017
N2 - Despite the ubiquity of learning in the everyday life of most workplaces, the learning analytics community only has paid attention to such settings very recently. One probable reason for this oversight is the fact that learning in the workplace is often informal, hard to grasp and not univocally defined. This paper summarizes the state of the art of Workplace Learning Analytics (WPLA), extracted from a systematic literature review of five academic databases as well as other known sources in the WPLA community. Our analysis of existing proposals discusses particularly on the role of different conceptions of learning and their influence on the LA proposals’ design and technology choices. We end the paper by discussing opportunities for future work in this emergent field.
AB - Despite the ubiquity of learning in the everyday life of most workplaces, the learning analytics community only has paid attention to such settings very recently. One probable reason for this oversight is the fact that learning in the workplace is often informal, hard to grasp and not univocally defined. This paper summarizes the state of the art of Workplace Learning Analytics (WPLA), extracted from a systematic literature review of five academic databases as well as other known sources in the WPLA community. Our analysis of existing proposals discusses particularly on the role of different conceptions of learning and their influence on the LA proposals’ design and technology choices. We end the paper by discussing opportunities for future work in this emergent field.
KW - Learning analytics
KW - Learning metaphors
KW - Professional development
KW - Workplace learning
UR - http://www.scopus.com/inward/record.url?scp=85029593041&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-66610-5_13
DO - 10.1007/978-3-319-66610-5_13
M3 - Conference paper
AN - SCOPUS:85029593041
SN - 9783319666099
VL - 10474 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 164
EP - 178
BT - Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Proceedings
PB - Springer Verlag Heidelberg
Y2 - 12 September 2017 through 15 September 2017
ER -