TY - JOUR
T1 - THE ROLE OF ARTIFICIAL INTELLIGENCE IN THE SELF-PROFESSIONAL DEVELOPMENT OF FACULTY MEMBERS
T2 - PRINCE SATTAM BIN ABDULAZIZ UNIVERSITY AS A MODE
AU - Al-Dosari, Issa Bin Khalaf
N1 - Publisher Copyright:
© 2023, Artseduca. All rights reserved.
PY - 2023
Y1 - 2023
N2 - Objectives: This study investigated the integration of artificial intelligence (AI) in the professional development of faculty members at Prince Sattam bin Abdulaziz University, Saudi Arabia. Methodology: A survey with 63 participants assessed AI utilization, developmental potential, implementation processes, and adoption barriers, using statistical methods like ANOVA and regression. Results: Findings showed moderate AI integration for innovation and excellence, but lacked skills training. Quantitative analysis revealed a significant correlation between increased AI usage and improvements in teaching and learning outcomes. Participants recognized AI’s capacity for adaptive teaching aligned with evolving curricula, promoting student engagement. However, effectiveness scores for an AI-powered work culture indicated deficiencies in institutional vision and integration, exacerbated by insufficient analytical skills training. Despite challenges, optimizing AI adoption significantly improved educational quality, with the primary obstacle being the absence of quality training programs. Conclusion: In conclusion, faculty professional development relied on AI adoption, showing potential if capacity-building barriers are addressed. Recommendations include awareness initiatives, addressing concerns, enhanced training, and supportive policies for cultivating an electronic work culture. Future research should provide evidence-based guidelines for AI deployment in education.
AB - Objectives: This study investigated the integration of artificial intelligence (AI) in the professional development of faculty members at Prince Sattam bin Abdulaziz University, Saudi Arabia. Methodology: A survey with 63 participants assessed AI utilization, developmental potential, implementation processes, and adoption barriers, using statistical methods like ANOVA and regression. Results: Findings showed moderate AI integration for innovation and excellence, but lacked skills training. Quantitative analysis revealed a significant correlation between increased AI usage and improvements in teaching and learning outcomes. Participants recognized AI’s capacity for adaptive teaching aligned with evolving curricula, promoting student engagement. However, effectiveness scores for an AI-powered work culture indicated deficiencies in institutional vision and integration, exacerbated by insufficient analytical skills training. Despite challenges, optimizing AI adoption significantly improved educational quality, with the primary obstacle being the absence of quality training programs. Conclusion: In conclusion, faculty professional development relied on AI adoption, showing potential if capacity-building barriers are addressed. Recommendations include awareness initiatives, addressing concerns, enhanced training, and supportive policies for cultivating an electronic work culture. Future research should provide evidence-based guidelines for AI deployment in education.
KW - Artificial Intelligence
KW - Educational Quality
KW - Faculty Development
KW - Professional Training
KW - Teaching Innovation
UR - http://www.scopus.com/inward/record.url?scp=85187905071&partnerID=8YFLogxK
U2 - 10.58262/ArtsEduca.3720
DO - 10.58262/ArtsEduca.3720
M3 - Article
AN - SCOPUS:85187905071
SN - 2254-0709
VL - 2023
SP - 260
EP - 277
JO - Artseduca
JF - Artseduca
IS - 37
ER -