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An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University, http://oli.cmu.edu Ross Strader, Stanford University, http://oli.stanford.edu Dawn Zimmaro, Stanford University, http://oli.stanford.edu
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An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University, Ross Strader, Stanford University,

Dec 16, 2015

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Page 1: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

An Approach to Skill Mapping in Online CoursesPresenters:

Norman Bier, Carnegie Mellon University, http://oli.cmu.edu

Ross Strader, Stanford University, http://oli.stanford.edu

Dawn Zimmaro, Stanford University, http://oli.stanford.edu

Page 2: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Agenda

Overview of the skills map process

Theoretical learning model used to predict mastery

Current analytics reports

Next steps for future improvements

Implications for improving student learning and courses

Facilitated discussion

Page 3: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Overview of the skills map process

Activities (resources) linked to skills

Skills linked to learning objectives

Page 4: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Theoretical learning model

Bayesian hierarchical statistical model

Takes as inputs data about student performance on questions and activities related to a certain skill, and estimates the probability that the student has mastered that skill.

Page 5: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Analytics reports

Instructor dashboard gives instructors a live view of student performance as they work

Page 6: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Data-driven improvement

Learning Curves in DataShop

Page 7: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Future directions

Delivering OLI courses on OLI, OpenEdx, and other platforms

Creating ability to author skills maps outside of a platform

Developing outcome analytics service outside of a platform to create and test one or more learning models

Designing customizable data visualizations

Creating data analytics tools for instructors and researchers

Page 8: An Approach to Skill Mapping in Online Courses Presenters: Norman Bier, Carnegie Mellon University,  Ross Strader, Stanford University,

Implications for improvements in student learning and courses

Design process prompts instructors to think in terms of what they want their students to know or be able to do (learning objectives and skills) and to create activities to address those objectives

Real-time data is shared with instructors and students to guide instructional interventions

Analytics focus on direct measures of learning versus proxies (outcome vs. performance/event analytics)

Data is used to iteratively improve instructional materials

For a copy of the white paper “An Approach to Knowledge Component / Skill Modeling in Online Courses”: http://oli.stanford.edu/news/