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Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
Wang, Hongxia; Geng, Jingyu; Liu, Ke; Wei, Xinyi; Wang, Jing; Lei, Li – Youth & Society, 2022
While there has been growing evidence that autonomy-supportive parenting is associated with the ability of Western adolescents to thrive, it is less clear this relationship exists in other cultural contexts. This study primarily explored the relationship between parental autonomy support (PAS) and Chinese adolescents' digital citizenship behavior…
Descriptors: Futures (of Society), Time Perspective, Adolescents, Behavior Patterns
Caroline Kaufmann Twachtman – ProQuest LLC, 2022
First-year seminar (FYS) courses tend to focus on preparing students for successful academic and social integration into the college environment. Many of the studies on FYS courses focus on measuring outcomes such as college grades, retention, and graduation rates. While there is notable documentation of several different types of FYS courses,…
Descriptors: College Students, First Year Seminars, Student Participation, Student Characteristics
Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2017
One of the most challenging tasks in the field of Educational Data Mining (EDM) is to cluster students directly based on system-student sequential moment-to-moment interactive trajectories. The objective of this study is to build a general temporal clustering framework that captures the distinct characteristics of students' sequential behaviors…
Descriptors: Sequential Approach, Cluster Grouping, Interaction, Student Behavior

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