Engaging High School Teachers with Artificial Intelligence Concepts, Applications, and Developments
This work analyzes the effectiveness of an artificial intelligence (AI) community- building workshop designed for high school teachers and it focuses on contemporary issues related to AI concepts and applications. A group of high school teachers from local education districts attended a one-day AI hands-on workshop at our university. The workshop included several AI-related topics and hands-on examples and exercises aiming to introduce AI concepts and tools relevant to pre-college education. The participating teachers were expected to become a part of a collaborative network created to design, develop, and implement novel AI learning modules for high school students. Initial and a post-training surveys have been used to measure the impact of this training and to obtain a better understanding of teachers’/students’ readiness for additional hands-on AI experiences and further training. The surveys showed that the teachers gained valuable AI knowledge, AI tools, and attitudes that could help them when introducing AI concepts, applications, and AI ethics to their students. The teachers also explored various AI-based teaching tools that they could use to improve learning outcomes for their students. Based on the positive results of this work, one of the authors developed and implemented a three-credit graduate elective course ED 537 AI in K-12 Education at the School of Education at our university. This is an updated and improved version of the ASEE conference paper titled “Engaging High School Teachers in Artificial Intelligence Concepts and Applications.”
Authors
- Michael Massey (ORCID: https://orcid.org/0009-0005-4042-3977)
- Nebojsa Jaksic (ORCID: https://orcid.org/0000-0003-1695-790X)
- Bahaa Ansaf
Publication Details
- Journal
- Computers in education journal
- Published
- 2025-03-01
- DOI
- https://doi.org/10.18260/b2b3-8f-68210
- Primary Topic
- Teaching and Learning Programming
- Type
- article
- Field-Weighted Citation Impact
- 0.00