Introduction to ChatGPT and its applications in Scholarship of Teaching and Learning Research

The Scholarship of Teaching and Learning (SoTL) is a research approach that aims to improve teaching and learning outcomes in higher education by investigating and evaluating the effectiveness of teaching practices. SoTL can enhance the AI scientific discourse in higher education by providing evidence-based practices that can improve student learning outcomes in AI-related courses.

Here are a few ways in which SoTL can enhance the AI scientific discourse in higher education:

1. Developing evidence-based teaching practices: SoTL research can identify effective teaching practices that can enhance student learning outcomes in AI-related courses. This research can help faculty members design and deliver courses that are effective in developing students' understanding of AI concepts and skills.
2. Improving student engagement and motivation: SoTL research can provide insights into effective instructional strategies that can increase student engagement and motivation in AI-related courses. For example, research can show how incorporating interactive and hands-on activities can increase student interest and motivation in learning AI.
3. Fostering a culture of continuous improvement: SoTL can help create a culture of continuous improvement in teaching and learning by encouraging faculty members to reflect on their teaching practices and to make changes based on evidence of student learning outcomes. This can lead to more effective AI-related courses and improved student learning outcomes.
4. Enhancing interdisciplinary collaboration: SoTL research can promote interdisciplinary collaboration between faculty members in different departments and programs, leading to a more integrated and cohesive approach to teaching AI. For example, faculty members from computer science, mathematics, and psychology departments can collaborate to design a course that incorporates AI concepts from each discipline.

Overall, SoTL can provide a valuable research approach for enhancing the AI scientific discourse in higher education by promoting evidence-based teaching practices, improving student engagement and motivation, fostering a culture of continuous improvement, and enhancing interdisciplinary collaboration.