This study collected student grades on prerequisite courses, Peer Instruction clicker responses, online quizzes, and assignments, from five courses.
A number of recent studies in computer science education have explored the value of various data sources for early prediction of students' overall course ...
Exploring the value of different data sources for predicting student performance in multiple CS courses. Soohyun Nam Liao, Daniel Zingaro, Christine Alvarado ...
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Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses. Liao, Soohyun Nam;Zingaro, Daniel;Alvarado ...
Exploring the value of different data sources for predicting student performance in multiple cs courses. SN Liao, D Zingaro, C Alvarado, WG Griswold, L Porter.
Jan 24, 2022 · We examined multiple data sources and found that clicker data from peer instruction classes as well as grades in prior courses (when ...
Sep 7, 2021 · We created an open learning framework to collect learners' data from multiple sources not offered in current open datasets. We studied the ...
The goal of this study is to (i) understand the characteristics of high-, average- and low-level performing students in a first year computer programming ...
Jun 22, 2020 · [1] Liao et al, “Exploring the Value of Different Data Sources for Predicting Student Performance in Multiple CS Courses”, SIGCSE '19.
Oct 31, 2023 · The most commonly used data sources in predicting student performance are learning management systems or platforms (such as Moodle or edX) and ...