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Early Identification Of Students At Academic Risk Based On Learning Management System Log Data, Roger Sheng So
Early Identification Of Students At Academic Risk Based On Learning Management System Log Data, Roger Sheng So
Theses and Dissertations
Understanding student engagement with the institution from the first day of classes to the end of the semester would help inform the institution of the potential risk that a student will drop out of a class or of the school. Learning Management Systems (LMS) record student interactions with the system and might be able to be used to identify students who are at academic risk. The scope of this study is to retrospectively analyze first-year student activity for the Spring 2022 semester for early warning signs worthy of intervention. A student risk assessment will be determined by reviewing student LMS …
Individual And Contextual Factors Attributing To Teacher Stress Based On Academic Setting And Years Of Experience, Lisa Lashley Freeman
Individual And Contextual Factors Attributing To Teacher Stress Based On Academic Setting And Years Of Experience, Lisa Lashley Freeman
Theses and Dissertations
The current study sought to determine the relationship between individual and contextual factors and teacher stress. Through analysis of the individual factors of self-efficacy and personality combined with organizational justice, perceived supervisory support, and work-family conflict, one can evaluate how to effectively support teachers to negate the surmounting pressures of teachers. The mixed methods study utilized Bandura’s (1986) Social Cognitive Theory and the JD-R model. The study specifically looked at the interplay between the individual and contextual factors addressing all teacher experience levels and school settings to uncover possible sources of stress perceived as factors preventing attrition. Current research has …