| Vol-1590 urn:nbn:de:0074-1590-1 Copyright © 2016 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# 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

## Table of Contents

- Introduction and Workshop Information

### Session 1

- Empowering Instructors Through Customizable Collection and Analyses of Actionable Information 3-9
  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 Improvement 10-14
  Wai Yee Wong, Marcel Lavrencic
- LMS Course Design As Learning Analytics Variable 15-19
  John Fritz
- Simple Metrics for Curriculum Analytics 20-26
  Xavier Ochoa

### Session 2

- Assessment Analytics for Peer-Assessment: A Model and Implementation 27-31
  Blaženka Divjak, Darko Grabar, Marcel Maretić
- Data-Driven Programmatic Change at Universities: What Works and How 32-35
  Jim Greer, Craig Thompson, Ryan Banow, Stephanie Frost
- Promoting Instructor and Department Action via Simple, Actionable Tools and Analyses 36-40
  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|