As generative AI can accelerate students’ learning, some educators advocate for the unrestricted use of AI. However, others are concerned that this over-dependence on AI could hinder the development of independent and critical thinking skills. Irrespective of the level of AI usage, the key to effective learning lies in the process students employ to reach their conclusions. This emphasis on the student’s process is well-established in educational literature.

Consequently, students require educational tools that provide insight into their working process, including their process of AI usage. These tools could display the time a student spends on a task or the frequency and timing of their use of generative AI. Such process-revealing tools offer two significant benefits: they impart data that enables students to self-reflect and enhance their meta-thinking skills, and during the course promote academic integrity. These tools also benefit both students and teachers by offering immediate access to crucial information such as instances of copy-pasting and time dedicated to revision after drafting.

While numerous process-oriented tools exist, this talk will focus on a free platform called Process Feedback, and the exploration of the strategies and best practices for integrating such tools into classrooms. The talk will conclude with an examination of case studies and research findings to learn how implementing process-oriented tools can enhance learning outcomes and grading efficiency.

Authors:
Badri Adhikari, University of Missouri-St. Louis, United States

About the Presenter(s)
Dr. Badri Adhikari is an Associate Professor in the Department of Computer Science at the University of Missouri-St. Louis. His research focuses on deep learning applications, AI, and education.

Connect on Linkedin
https://www.linkedin.com/in/badri-adhikari-7611a4154/

See this presentation on the full schedule – Wednesday Schedule

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