ACC Library Services: The Future of Computer Science & Computer Information Technology: Teaching & Pedagogy in a Digital-First World

Information technology and artificial intelligence have promoted the informatization development of education and made many changes in the teaching mode. Especially in the era of artificial intelligence, the combination of human-machine assisted education teaching has become an efficient teaching mode.

The unexamined power and prejudice embedded within technologies and societies has led to direct harm to individuals of color, minoritized groups, and the US ideal of a multi-racial democracy. Rather than an accident of AI or a "glitch" of the system, these inequities highlight the invisible and oppressive architecture – a "New Jim Code" – encoded into the bones of the technology.

Artificial intelligence (AI) has been widely adopted in higher education. However, the current research on AI in higher education is limited, lacking both breadth and depth. In the present study, we addressed this research gap by exploring students’ perception of learning in AI-related courses facilitated by an open experiential AI platform.

Artificial intelligence (AI) applications have been implemented across all levels of education, with the rapid developments of chatbots and AI language models, like ChatGPT, demonstrating the urgent need to conceptualize the key debates and their implications for a new era of learning and assessment. This adoption occurs in a context where AI is dramatically remapping "the human," the purposes of schooling, and pedagogy.