Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/springer-journals/learning-analytics-for-programme-review-evidence-analysis-and-action-TsTnMjT0Yl
References (56)
-
(2011)
Doing academic analytics right : Intelligent Answers to simple questions -
Maren Scheffel, H. Drachsler, S. Stoyanov, M. Specht (2014)
Quality Indicators for Learning AnalyticsJ. Educ. Technol. Soc., 17
-
Rebecca Ferguson, D. Clow, D. Griffiths, Andrew Brasher (2019)
Moving Forward with Learning Analytics: Expert ViewsJ. Learn. Anal., 6
-
S. Rojstaczer, Christopher Healy (2012)
Where a is Ordinary: The Evolution of American College and University Grading, 1940-2009Teachers College Record: The Voice of Scholarship in Education, 114
-
A. Field (2017)
Discovering statistics using IBM SPSS statistics, 5th edition -
S. Shum, Rebecca Ferguson (2012)
Social Learning AnalyticsJ. Educ. Technol. Soc., 15
-
(2013)
Improving the quality and productivity of the higher education sector -
M. Prosser (2013)
Quality Teaching Quality Learning -
W. Greller, H. Drachsler (2012)
Translating Learning into Numbers: A Generic Framework for Learning AnalyticsJ. Educ. Technol. Soc., 15
-
(2014)
Constructive alignment in university teaching -
H. Drachsler, M. Kalz (2016)
The MOOC and learning analytics innovation cycle (MOLAC): a reflective summary of ongoing research and its challengesJ. Comput. Assist. Learn., 32
-
Á. Agudo-Peregrina, S. Iglesías-Pradas, Miguel González, Á. Hernández-García (2014)
Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learningComput. Hum. Behav., 31
-
H. Coates, Alexander McCormick (2014)
Engaging university students : international insights from system-wide studies -
Student engagement evidence summary. York: The Higher Education Academy -
David Azcona, Owen Corrigan, Philip Scanlon, A. Smeaton (2017)
Innovative learning analytics research at a data-driven HEIHeadache
-
George Kuh, Stanley Ikenberry, Natasha Jankowski, Timothy Cain, P. Ewell, P. Hutchings, J. Kinzie (2014)
Using Evidence of Student Learning to Improve Higher Education -
A. Field (2017)
Discovering Statistics Using Ibm Spss Statistics -
A. Pardo, George Siemens (2014)
Ethical and privacy principles for learning analyticsBr. J. Educ. Technol., 45
-
Ewa Seidel, Salah Kutieleh (2017)
Using predictive analytics to target and improve first year student attritionAustralian Journal of Education, 61
-
Camilo Vieira, Paul Parsons, Vetria Byrd (2018)
Visual learning analytics of educational data: A systematic literature review and research agendaComput. Educ., 122
-
K. Casey, David Azcona (2017)
Utilizing student activity patterns to predict performanceInternational Journal of Educational Technology in Higher Education, 14
-
L. Baer, D. Norris (2017)
Unleashing the Transformative Power of Learning Analytics -
Guidance Note: Academic Governance Version 2.3. Retrieved -
Olga Viberg, Mathias Hatakka, Olle Bälter, A. Mavroudi (2018)
The current landscape of learning analytics in higher educationComput. Hum. Behav., 89
-
M. Komenda, Martin Vita, Christos Vaitsis, D. Schwarz, A. Pokorná, N. Zary, L. Dušek (2015)
Curriculum Mapping with Academic Analytics in Medical and Healthcare EducationPLoS ONE, 10
-
Lori Lockyer, E. Heathcote, S. Dawson (2013)
Informing Pedagogical ActionAmerican Behavioral Scientist, 57
-
A. Pardo, J. Jovanović, S. Dawson, D. Gašević, Negin Mirriahi (2019)
Using learning analytics to scale the provision of personalised feedbackBr. J. Educ. Technol., 50
-
(2015)
Evidence of student learning: What counts and what matters for improvement -
J. Biggs (1999)
Teaching for Quality Learning at University: What the Student Does -
Lisette Toetenel, B. Rienties (2016)
Analysing 157 learning designs using learning analytic approaches as a means to evaluate the impact of pedagogical decision makingBr. J. Educ. Technol., 47
-
(2015)
ibe. unesco. org/ en/ gloss ary- curri culum- termi nology/ c/ curri culum -
D. Salter (2013)
Cases on Quality Teaching Practices in Higher Education -
D. Delen (2011)
Predicting Student Attrition with Data Mining MethodsJournal of College Student Retention, 13
-
D. Gašević, S. Dawson, Tim Rogers, D. Gasevic (2016)
Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic successInternet High. Educ., 28
-
Quality audits of UGC-funded universities -
香港 教育統籌委員會 (2000)
Learning for life, learning through life : reform proposals for the education system in Hong Kong. Education blueprint for the 21st century -
H. Coates, Alexander McCormick (2014)
Engaging University Students -
Hoi Ning, K. Downing (2010)
Connections between learning experience, study behaviour and academic performance: a longitudinal studyEducational Research, 52
-
Rebecca Ferguson, T. Hoel, Maren Scheffel, H. Drachsler (2016)
Guest Editorial: Ethics and Privacy in Learning AnalyticsJ. Learn. Anal., 3
-
L. Corrin, G. Kennedy, S. French, S. Shum, Kristy Kitto, A. Pardo, Deborah West, Negin Mirriahi, C. Colvin (2019)
The Ethics of Learning Analytics in Australian Higher Education: Discussion Paper -
Kimberly Arnold, M. Pistilli (2012)
Course signals at Purdue: using learning analytics to increase student successProceedings of the 2nd International Conference on Learning Analytics and Knowledge
-
P. O’Keeffe (2013)
A Sense of Belonging: Improving Student Retention.College student journal, 47
-
P. Prinsloo, Sharon Slade (2017)
Ethics and Learning Analytics: Charting the (Un)Charted -
R. Ellis, Feifei Han, A. Pardo (2017)
Improving Learning Analytics - Combining Observational and Self-Report Data on Student LearningJ. Educ. Technol. Soc., 20
-
Jerald Thomas (2012)
Program Evaluation Research -
D. Sadler (2017)
Academic achievement standards and quality assuranceQuality in Higher Education, 23
-
George Siemens (2013)
Learning AnalyticsAmerican Behavioral Scientist, 57
-
Charles Lang, George Siemens, A. Wise, D. Gašević (2017)
Handbook of Learning Analytics -
N. Elouazizi (2014)
Critical Factors In Data Governance For Learning AnalyticsJ. Learn. Anal., 1
-
G. Méndez, X. Ochoa, K. Chiluiza (2014)
Techniques for data-driven curriculum analysisProceedings of the Fourth International Conference on Learning Analytics And Knowledge
-
(2020)
UGC activities: Funding arrangements -
Mirella Atherton, M. Shah, Jenny Vazquez, Zoe Griffiths, Brian Jackson, Catherine Burgess (2017)
Using learning analytics to assess student engagement and academic outcomes in open access enabling programmesOpen Learning: The Journal of Open, Distance and e-Learning, 32
-
S. Freitas, D. Gibson, C. Plessis, P. Halloran, E. Williams, Matt Ambrose, I. Dunwell, S. Arnab (2015)
Foundations of dynamic learning analytics: Using university student data to increase retentionBr. J. Educ. Technol., 46
-
Sheri Klein (2012)
Action Research Methods -
Simon Brooman, Sue Darwent, Alexandra Pimor (2015)
The student voice in higher education curriculum design: is there value in listening?Innovations in Education and Teaching International, 52
-
Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations
- Publisher
- Springer Journals
- Copyright
- Copyright © The Author(s), under exclusive licence to Springer Nature B.V. 2021
- ISSN
- 2211-1662
- eISSN
- 2211-1670
- DOI
- 10.1007/s10758-021-09559-6
- Publisher site
- See Article on Publisher Site
Abstract
The application of learning analytics (LA) to research and practice in higher education is expanding. Researchers and practitioners are using LA to provide an evidentiary basis across higher education to investigate student learning, to drive institutional quality improvement strategies, to determine at-risk behaviours and develop intervention strategies, to measure attrition more effectively and to improve curriculum design and evaluation in both on-campus and e-learning settings. This paper is a case study report of the novel application of LA to programme curriculum review from a major cross-institutional project in Hong Kong. The paper describes the rationale for the project, the conceptual model that led the approach and the development of a software tool that allowed the automation of statistical analyses specifically relevant to programme review. In addition, the paper addresses a major challenge that the project faced in relation to data governance. The paper concludes by proposing the potential benefits of LA for programme curriculum review.
Journal
"Technology, Knowledge and Learning" – Springer Journals
Published: Jun 1, 2022
Keywords: Learning analytics; Programme review; Student learning outcomes; Curriculum evaluation; Data governance