Epilogue: Future directions on learning analytics to enhance study success
Research output: Contributions to collected editions/works › Chapter › peer-review
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Utilizing learning analytics to support study success. ed. / Dirk Ifenthaler; Dana-Kristin Mah; Jane Yin-Kim Yau. Springer International Publishing AG, 2019. p. 313-321.
Research output: Contributions to collected editions/works › Chapter › peer-review
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TY - CHAP
T1 - Epilogue
T2 - Future directions on learning analytics to enhance study success
AU - Mah, Dana-Kristin
AU - Yau, Jane Yin Kim
AU - Ifenthaler, Dirk
PY - 2019/1/17
Y1 - 2019/1/17
N2 - Utilising learning analytics in order to enhance study success is an emerging topic in higher education. Empirical evidence is still scarce, even though some higher education institutions already implemented learning analytics systems and reported positive impacts on student retention. This edited volume captures many current research and practical experiences on learning analytics in the field of higher education regarding theoretical perspectives linking learning analytics and study success, technological innovations for supporting student learning, issues and challenges for implementing learning analytics at higher education institutions, as well as case studies showcasing successfully implemented learning analytics strategies at higher education institutions. This epilogue presents an analysis of the previous chapters with a focus on four majors themes that have emerged: (1) acceptance and competence for the implementation of learning analytics, (2) personalised learning and early interventions, (3) data privacy and ethics, and (4) technical considerations. In conclusion, future directions on learning analytics for enhancing study success are presented.
AB - Utilising learning analytics in order to enhance study success is an emerging topic in higher education. Empirical evidence is still scarce, even though some higher education institutions already implemented learning analytics systems and reported positive impacts on student retention. This edited volume captures many current research and practical experiences on learning analytics in the field of higher education regarding theoretical perspectives linking learning analytics and study success, technological innovations for supporting student learning, issues and challenges for implementing learning analytics at higher education institutions, as well as case studies showcasing successfully implemented learning analytics strategies at higher education institutions. This epilogue presents an analysis of the previous chapters with a focus on four majors themes that have emerged: (1) acceptance and competence for the implementation of learning analytics, (2) personalised learning and early interventions, (3) data privacy and ethics, and (4) technical considerations. In conclusion, future directions on learning analytics for enhancing study success are presented.
KW - Educational science
KW - Student success
KW - Implementation
KW - Personalised learning
KW - Data privacy and ethics
UR - http://www.scopus.com/inward/record.url?scp=85069544131&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/119f52ee-57e7-3317-9099-ffb34dc04b44/
U2 - 10.1007/978-3-319-64792-0_17
DO - 10.1007/978-3-319-64792-0_17
M3 - Chapter
AN - SCOPUS:85069544131
SN - 9783319647913
SP - 313
EP - 321
BT - Utilizing learning analytics to support study success
A2 - Ifenthaler, Dirk
A2 - Mah, Dana-Kristin
A2 - Yau, Jane Yin-Kim
PB - Springer International Publishing AG
ER -