Education Commons^™

Explicit Rule Learning: A Cognitive Tutorial Method To Train Users Of Artificial Intelligence/Machine Learning Systems, Anne Linja

Dissertations, Master's Theses and Master's Reports

Today’s intelligent software systems, such as Artificial Intelligence/Machine Learning systems, are sophisticated, complicated, sometimes complex systems. In order to effectively interact with these systems, novice users need to have a certain level of understanding. An awareness of a system’s underlying principles, rationale, logic, and goals can enhance the synergistic human-machine interaction. It also benefits the user to know when they can trust the systems’ output, and to discern boundary conditions that might change the output. The purpose of this research is to empirically test the viability of a Cognitive Tutorial approach, called Explicit Rule Learning. Several approaches have been used …

Examining The Cross-Cultural Competence Of United States Christian Missionaries Engaged In Developing Indigenous Leaders: A Mixed Methods Study, Craig W. Goodman

Dissertations

For the past two millennia, missionaries have crossed from one culture to another to bring the Christian message to all cultures of the world. Questions about the effectiveness of these mission efforts have been asked and researched by many; however, one key question remains unanswered: what personal attributes help a person to be more competent at crossing cultures as they interact with people from other cultures? Although cross-cultural competence has been studied in a variety of fields over the past 50 years, the models and assessments used have never been applied to Christian missionaries.

To address this deficiency, this parallel …

Using Ai-Enabled Gaze Tracking System To Understand Comprehension Patterns Of Computer Science Students, Bradley Boswell

Electronic Theses and Dissertations

Academic institutions and instructors lack the ability to accurately assess the moment-to-moment attentiveness of students in classrooms where students’ faces are obscured by computer monitors. This can cause the lectures of Computer Science, Information Technology, or other lab-based courses to be incorrectly-paced, which can lead to students having an overall poorer grasp of the subject material. We propose a system for real-time accurate detection of classroom attentiveness using monitor-mounted webcams and eye trackers, along with a Convolutional Neural Network machine learning model (NiCATS). Through the use of a neural network, we produce an initial attentiveness score based on student webcam …