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Full-Text Articles in Education
Improving Educational Delivery And Content In Juvenile Detention Centers, Yomna Elmousalami
Improving Educational Delivery And Content In Juvenile Detention Centers, Yomna Elmousalami
Undergraduate Research Symposium
Students in juvenile detention centers have the greatest need to receive improvements in educational delivery and content; however, they are one of the “truly disadvantaged” populations in terms of receiving those improvements. This work presents a qualitative data analysis based on a focus group meeting with stakeholders at a local Juvenile Detention Center. The current educational system in juvenile detention centers is based on paper worksheets, single-room style teaching methods, outdated technology, and a shortage of textbooks and teachers. In addition, detained students typically have behavioral challenges that are deemed "undesired" in society. As a result, many students miss classes …
Delivering The Right Message For Maximum Impact In The Student Enrollment Journey, Ashley Miller
Delivering The Right Message For Maximum Impact In The Student Enrollment Journey, Ashley Miller
University Administration Publications
Meeting today's prospective college students where they are is key to staying ahead of current enrollment challenges. Understanding which messages resonate with which students and at certain parts of the enrollment funnel helps to ensure institutions are getting the right message, to the right student, at the right time in their journey. By utilizing a MaxDiff approach, one can better understand the impact a particular message has compared to others and which combination of messages will ultimately drive action. The maximum difference scaling (MaxDiff) method provides useful guidance on how enrollment professionals can better segment their communication strategies to their …
Automatic Classification Of Activities In Classroom Videos, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton
Automatic Classification Of Activities In Classroom Videos, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton
VMASC Publications
Classroom videos are a common source of data for educational researchers studying classroom interactions as well as a resource for teacher education and professional development. Over the last several decades emerging technologies have been applied to classroom videos to record, transcribe, and analyze classroom interactions. With the rise of machine learning, we report on the development and validation of neural networks to classify instructional activities using video signals, without analyzing speech or audio features, from a large corpus of nearly 250 h of classroom videos from elementary mathematics and English language arts instruction. Results indicated that the neural networks performed …