Validating the Effectiveness of the Moodle Engagement Analytics Plugin to Predict Student Academic Performance. - Amara Atif; Chris Froissard; Danny Y. T. Liu; Deborah Richards 001 (AMCIS, 2015)

Empowering Instructors Through Customizable Collection and Analyses of Actionable Information. - Danny Y. T. Liu; Charlotte E. Taylor; Adam J. Bridgeman; Kathryn Bartimote-Aufflick; Abelardo Pardo (PCLA@LAK, 2016)

Student perspectives on data provision and use: starting to unpack disciplinary differences. - Jen McPherson; Huong Ly Tong; Scott J. Fatt; Danny Y. T. Liu (LAK, 2016)

Knowledge Acquisition for Learning Analytics: Comparing Teacher-Derived, Algorithm-Derived, and Hybrid Models in the Moodle Engagement Analytics Plugin. - Danny Y. T. Liu; Deborah Richards 001; Phillip Dawson; Jean-Christophe Froissard; Amara Atif (PKAW, 2016)

OnTask: Delivering Data-Informed, Personalized Learning Support Actions. - Abelardo Pardo; Kathryn Bartimote; Simon Buckingham Shum; Shane Dawson; Jing Gao 001; Dragan Gasevic; Steve Leichtweis; Danny Y. T. Liu; Roberto Martínez Maldonado; Negin Mirriahi; Adon Christian Michael Moskal; Jurgen Schulte; et al. (J. Learn. Anal., 2018)

Working Together in Learning Analytics Towards the Co-Creation of Value. - Mollie Dollinger; Danny Y. T. Liu; Natasha Arthars; Jason M. Lodge (J. Learn. Anal., 2019)

Perceived benefits and barriers of a prototype early alert system to detect engagement and support 'at-risk' students: The teacher perspective. - Amara Atif; Deborah Richards 001; Danny Y. T. Liu; Ayse Aysin Bilgin (Comput. Educ., 2020)

Evaluating the scaling of a LA tool through the lens of the SHEILA framework: A comparison of two cases from tinkerers to institutional adoption. - Lorenzo Vigentini; Danny Y. T. Liu; Natasha Arthars; Mollie Dollinger (Internet High. Educ., 2020)