Opportunities and Challenges for Information Technology and Business Educators in Implementing Generative Artificial Intelligence in Instruction

Abstract

Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning in the field of IT and business education. This research aims to explore the opportunities and challenges faced by IT and business educators in the utilization of generative AI in teaching and provide insights for educators seeking to harness the power of these tools while mitigating potential risks. The opportunities for IT and business educators in utilizing generative AI include enhanced learning experiences, automation of administrative tasks, exposure to real-world applications, and adaptability and personalization. Generative Artificial Intelligence allows educators to create interactive and personalized learning content, streamline administrative tasks, prepare students for AI-driven careers, and cater to individual learning needs. However, there are several challenges that educators need to navigate to effectively utilize generative AI. Ethical considerations, including data privacy, bias, and the impact of AI-driven decision-making, must be addressed to ensure ethical use of AI technology. Information technology and business educators must also develop the necessary skills and knowledge in AI to integrate it into the curriculum effectively. This requires staying current with advancements in the field. Additionally, the utilization of generative AI may require significant investments in infrastructure, software, and training. Adequate resources must be allocated to support educators in implementing and utilizing generative AI effectively. Lastly, educators must find a balance between AI-assisted teaching and maintaining a meaningful teacher-student relationship. By understanding and addressing these opportunities and challenges, information technology and business educators can harness the potential of generative AI to enhance teaching and learning experiences, prepare students for the AI-driven workforce, and create personalized and engaging educational content. The result of the study serves as basis by the faculty and administrators in strengthening the implementation of generative artificial intelligence in teaching.