Assessing Student Learning through the Use of Digital Video and Data Mining

Using Digital Video to Assess Student Learning Outcomes and Program Efficacy: The Case of VOCAT
Mikhail Gershovich, Lead, VOCAT Development and Marketing, Baruch College/City University of New York
Grounded in data collected at Baruch College since 2007, this session will present lessons learned in the ongoing use of open web video technologies in the assessment of student learning as a way to a broader discussion of the implications of digital video for outcomes assessment. This panel will introduce VOCAT 3.0, a video assessment application developed by Baruch using open-source tools, and will consider the institutional, technical, and pedagogical challenges of developing and deploying video-based assessments. We will address the possibilities VOCAT offers for the collection, analysis, and visualization of assessment data.

OUTCOMES: Critically engage with the complexities and nuances of video-based assessments of student learning * Understand the challenges of developing new assessment models and deploying digital video assessment instruments * Explore the implications of assessment initiatives reliant on digital tools that allow assessments to move online/mobile * Address institutional challenges to funding, developing, and integrating digital video assessment tools * Get models for video-based assessments of student learning and program efficacy * Brainstorm possibilities for data analysis and visualization presented by open-source libraries integrated with VOCAT

Real-Time Mining of Student Notes and Questions
Perry J. Samson, Professor, Department of Atmospheric, Oceanic and Space Sciences, University of Michigan–Ann Arbor
Online web applications now make it easier to gather data about what students do in and outside the classroom. This presentation will discuss lessons learned from a project to crowdsource study guides based on the real-time mining of student notes and questions from LectureTools. "Lecture clouds" of words and concepts generated from mining student notes and questions in LectureTools are presented to students with links to germane content for further study. The effect of this system on student outcomes and participation will be presented, along with survey results from students and suggestions for further development.

OUTCOMES: Understand the spectrum of processes that are available for mining student notes and questions * Understand the options for displaying results to students and instructors * Learn how to apply this technique to your courses