Theses and Dissertations

Date of Award

5-2024

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Emmett Tomai

Second Advisor

Zhixiang Chen

Third Advisor

Timothy Wylie

Abstract

Care-Teach is an algorithmic educational model that provides teachers and educators with the tools to create interactive, text-based lessons that address a student’s need for continuity and reinforcement. Care-Teach is built around two core components: a Student Behavior Profile and the Skill Tree. These models work together to give each student a personalized learning experience that reinforces their pre-existing strengths and inclinations. The Student Behavior Profile model keeps track of a learner’s inclinations and mood, utilizing metrics such as average response time and accuracy to categorize opportunities for educator involvement. The Skill Tree is an organizational model that guides progress through learning objectives. Each activity is linked to an expected set of skills, and each skill is descended from a core axiom, allowing one to draw a clear line from a lesson to the most basic concept needed to understand it. Informed by the Student Behavior Profile, one can serve up activities and axioms from previous lessons to promote a holistic understanding of the subject with each assignment.

The Care-Teach system provides a versatile foundation for the development of open-source companion apps, which will assist educators in enriching their programs in both online and traditional teaching situations.

Comments

Copyright 2024 Jaime Augusto Alvarez Perez.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/pqdtglobal1/dissertations-theses/care-teach-proposing-open-source-approach/docview/3085283707/sem-2?accountid=7119

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