Published: 2018-12-11

When Are Learning Analytics Ready and What Are They Ready For

Alyssa F Wise; Simon Knight; Xavier Ochoa

1–4

The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics

Yi-Shan Tsai, Pedro Manuel Moreno-Marcos, Ioana Jivet, Maren Scheffel, Kairit Tammets, Kaire Kollom, Dragan Gašević

5–20

Exploratory versus Explanatory Visual Learning Analytics: Driving Teachers’ Attention through Educational Data Storytelling

Vanessa Echeverria, Roberto Martinez-Maldonado, Simon Buckingham Shum, Katherine Chiluiza, Roger Granda, Cristina Conati

72—97

Gaze-Driven Design Insights to Amplify Debugging Skills: A Learner-Centered Analysis Approach

Katerina Mangaroska, Kshitij Sharma, Michail Giannakos, Hallvard Trætteberg, Pierre Dillenbourg

98–119

Student Ability Best Predicts Final Grade in a College Algebra Course

Kyle Anthony O'Connell, Elijah Wostl, Matt Crosslin, T. Lisa Berry, James P. Grover

167–181

A Method for Automatically Analyzing Intelligent Tutoring System Dialogues with Coh-Metrix

Chrstopher R. Wolfe, Colin L. Widmer, Christine V. Torrese, Mitchell Dandignac

222–234

OnTask: Delivering Data-Informed, Personalized Learning Support Actions

Abelardo Pardo, Kathryn Bartimote, Simon Buckingham Shum, Shane Dawson, Jing Gao, Dragan Gašević, Steve Leichtweis, Danny Liu, Roberto Martínez-Maldonado, Negin Mirriahi, Adon Christian Michael Moskal, Jurgen Schulte, George Siemens, Lorenzo Vigentini

235–249