ChatGPT for Operating Systems: Higher-Order Thinking in Focus

A critical requirement for IT and engineering students is supporting them in understanding advanced OS concepts and fostering their HOT. HOT involves analysis, evaluation, and creation of new understanding, which promotes deeper learning, improved outcomes, and enhanced student experience. An AI technology-based learning that supports OS instruction and focuses on HOT presents a solution. However, little is known about integrating such an emerging technology into pedagogical contexts, and further investigation is necessary to explore the best design and implementation and investigate its empirical effect. Pedagogical designs with appropriate theoretical foundations should be added to the literature on AI technology-based applications. In this study, we propose an AI technology-based learning model using ChatGPT and investigate its effect on students? performance in handling HOT tasks. Constructivism theory suggests that knowledge is constructed through the individual interactive experiences of learners rather than being passively absorbed. The proposed learning model is inspired by constructivism, which grants students an active role in building their understanding during in-class instruction rather than passively receiving information from the instructor. ChatGPT activities are designed to provide learners with personalized and interactive instruction to build new knowledge about OS topics.