Computer Science Question
Project overview
Classrooms around the world have not changed much in decades, but novel interactive technologies create new opportunities for re-imagining these educational spaces. In this project, we will explore how AI and machine learning can make inferences about student’s progress and adapt interfaces to tailor the learning experience to each student. Through this work, we aim to enhance learning outcomes by making studying more effective, scalable, and personalized.
In this project, you are asked to do the following:
STEP ONE: Select one of the following areas of study:
Using facial thermal imaging to estimate which parts of a lecture students find difficult
Enabling seamless reflective reading through voice interaction and eye tracking
Quantifying the complexity of a video lecture using machine learning techniques
STEP TWO: Use PowerPoint (MS Suite Products or suitable Tool) to design (draw) your HCI Interface. The goal of this project is to show how you would achieve thoughtful planning, sensitivity to user needs, and devotion to requirements analysis. Show in your design how you would incorporate quality features e.g., usability, universality, and usefulness using an AI and/or Machine Learning approach.
STEP THREE: Write a minimum of 500-word paper discussing how you would use an AI and/or Machine Learning approach while developing the usability of an interactive system with the high-quality user experiences focusing on usability goals and measures, what lead to your usability motivations and how you achieved the overall goal of enhancing study learning outcomes for your HCI project.
