Can Synchronous Code Editing and Awareness Tools Support Remote Tutoring? Effects on Learning and Teaching

Abstract

One-on-one tutoring is effective for learning computer science since a tutor can work alongside a student and provide tailored feedback on their code. However, translating this type of instruction to a remote setting is challenging. Traditional methods such as screensharing lack key pedagogical functionality and most available tools are designed for collaboration rather than instruction. To identify tools that can support remote tutoring, we conducted an experiment to assess two resources: synchronous editing and awareness tools. In our study, an instructor teaches a learner introductory programming concepts remotely, collaborating through screensharing alone, a shared notebook with real-time collaborative editing, or a shared notebook with additional awareness tools overlaid. To embed the awareness tools, we designed a Chrome extension that enables real-time sharing of gaze and cursor data. Our results show that synchronous editing combined with awareness tools significantly improved learning. The awareness tools also helped tutors better communicate with the student, track their understanding, and establish a sense of presence. As a final contribution, we also assessed the efficacy of gaze-sharing using a webcam eye-tracker. While the accuracy was not as precise as a dedicated sensor, instructors described instances when the gaze was useful for gauging student attention and establishing presence. We discuss implications for remote tutoring in computer science and scaling awareness technology.

Predicting Code Comprehension: A Novel Approach to Align Human Gaze with Code using Deep Neural Networks

“…To apply our approach as a human-inclusive measure of code quality directly in practice, one would require an eye-tracker to collect the eye gaze data and then map it to the code. Several approaches have already examined the value of tracking and sharing real-time eye gaze data to support scenarios such as pair programming [15], code review [12] or code tutoring [82]. With the advances in technology that allow us to use webcams for tracking eye gaze [82], such an approach might soon be feasible.…”

“…Several approaches have already examined the value of tracking and sharing real-time eye gaze data to support scenarios such as pair programming [15], code review [12] or code tutoring [82]. With the advances in technology that allow us to use webcams for tracking eye gaze [82], such an approach might soon be feasible.…”