CEUR-WS.org/Vol-1590 - 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop (PCLA)

PCLA 2016
Learning Analytics Curriculum and Program Quality Improvement

Proceedings 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop
co-located with Sixth International Learning Analytics and Knowledge Conference (LAK 2016)

Edinburgh, UK, April 25th, 2016.

Edited by

Jim Greer, University of Saskatchewan, Canada
Marco Molinaro, University of California – Davis, USA
Xavier Ochoa, Escuela Superior Politécnica del Litoral, Ecuador
Timothy McKay, University of Michigan, USA

Introduction and Workshop Information

Session 1

Empowering Instructors Through Customizable Collection and Analyses of Actionable Information3-9
Danny Y.T. Liu, Charlotte E. Taylor, Adam J. Bridgeman, Kathryn Bartimote-Aufflick, Abelardo Pardo
Using a Risk Management Approach in Analytics for Curriculum and Program Quality Improvement10-14
Wai Yee Wong, Marcel Lavrencic
LMS Course Design As Learning Analytics Variable15-19
John Fritz
Simple Metrics for Curriculum Analytics20-26
Xavier Ochoa

Session 2

Assessment Analytics for Peer-Assessment: A Model and Implementation27-31
Blaženka Divjak, Darko Grabar, Marcel Maretić
Data-Driven Programmatic Change at Universities: What Works and How32-35
Jim Greer, Craig Thompson, Ryan Banow, Stephanie Frost
Promoting Instructor and Department Action via Simple, Actionable Tools and Analyses36-40
Marco Molinaro, Matthew Steinwachs, Qiwei Li, Alberto Guzman-Alvarez

We offer a BibTeX file for citing papers of this workshop from LaTeX.

2016-05-18: submitted by Xavier Ochoa, metadata incl. bibliographic data published under Creative Commons CC0
2016-05-19: published on CEUR-WS.org |valid HTML5|

PCLA 2016Learning Analytics Curriculum and Program Quality Improvement

Proceedings 1st Learning Analytics for Curriculum and Program Quality Improvement Workshop co-located with Sixth International Learning Analytics and Knowledge Conference (LAK 2016)