Efficiency of Automated Detectors of Learner Engagement and Affect Compared with Traditional Observation Methods

Title: Efficiency of Automated Detectors of Learner Engagement and Affect Compared with Traditional Observation Methods
Abstract/Description: This report investigates the costs of developing automated detectors of student affect and engagement and applying them at scale to the log files of students using educational software. We compare these costs and the accuracy of the computer-based observations with those of more traditional observation methods for detecting student engagement and affect. We discuss the potential for automated detectors to contribute to the development of adaptive and responsive educational software.
Author/creator: Hollands, Fiona; Bakir, Ipek
Date: 2015
Publisher: Center for Benefit-Cost Studies of Education, Teachers College, Columbia University
Resource type: en Research/Scholarly Media
Resource status/form: en Published Text
Scholarship genre: en Empirical
Open access/full-text available: en Yes
URL: Open Access PDF (University of Pennsylvania ScholarlyCommons)
Citation: Hollands, F., & Bakir, I. (2015). Efficiency of Automated Detectors of Learner Engagement and Affect Compared with Traditional Observation Methods [Working Paper]. Center for Benefit-Cost Studies of Education, Teachers College, Columbia University. https://repository.upenn.edu/cbcse/4
Type: Working Paper

Comments

No comment yet! Be the first to add one!

Name

Website

Comment

To prove you are not a robot, answer this question: How much is 5 plus 3?

I agree with terms of use and I accept to free my contribution under the licence CC BY-SA.