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Session Type: Paper Session
In this session, a series of papers address student engagement in various settings and its impact on the validity of score interpretations. Using various forms of process data, papers range in topics from examining student engagement within a tutorial system, writing Japanese letters, utilizing response time to detect aberrant testing behavior, and detecting anomalies in student responses.
Aberrant Testing Behavior Detection With Response and Response Time–Based Distance Measures - Anqi Li, University of Illinois at Urbana-Champaign; Chunmei Zheng; Ching-Wei D Shin, Pearson
Comparisons of Methods of Identifying Unmotivated Test-Takers - Wei Xu, The American Board of Anesthesiology; Doyoung Kim, National Council of State Boards of Nursing
Students' Emotions, Engagement, and Writing Performance: An Investigation Based on Individual Pen Pressure Parameters - Claudia Schrader, University Ulm
Using Data Mining to Predict Student Disengagement in Tutoring Systems - Elizabeth Adele Patton, Curriculum Associates