Promoting Artificial Intelligence Education in K – 12 through Pre-service Teachers’ Development
Year: 2024
Type: dissertation
Study design: Clinical Trial
Abstract: This study was conducted to develop pre-service CS teachers' artificial intelligence (AI) knowledge through a professional development (PD) program.This research further examined how 45 teacher candidates learned AI concepts, their perspectives as well as their concerns and suggestions regarding implementing AI lessons in classroom.Both quantitative and qualitative methodology were employed to answer the two research questions that guided the study.A duly validated instrument was used to collect data for the quantitative part while qualitatively, semistructured interviews were conducted after the PD program in a public university in Nigeria.The analytical approach used to analyze the data retrieved includes paired sample t-test and thematic analysis.Findings revealed some influence of the PD program on the pre-service teachers' perceptions towards AI.Based on the measured variables, teachers' competence, and skills (Ability) significantly increased post PD, while teachers' cognitive readiness (cognition), which includes knowledge about how AI functions does not increase.Perceived threats about AI decreased post-training, indicating a positive impact on teachers' confidence in learning AI.This study emphasizes the necessity of AI literacy beyond short courses for boosting cognition.Concerns related to ethical issues, infrastructure challenges, and a lack of technical expertise were uncovered as significant barriers to implementing AI lessons in K-12 classrooms, prompting thoughtful suggestions from pre-service teachers.The findings from this study have implications for the development of AI education in the K-12 context and teacher education.iv Acknowledgement Embarking on this master's degree has truly been a journey.As I approach its completion, I am indebted to appreciate individuals who have played a vital role in this intellectual odyssey.I want to give glory to the Almighty God, my helper and sustainer who has been there for me through thick and thin, and for His grace has seen me throughout this program.My unflinching appreciation also goes to my able and amiable supervisor, Dr. Ismaila Sanusi whose unwavering guidance, constructive critiques, and relentless commitment to pushing the boundaries of knowledge have been the foundation of this endeavour.His guidance shaped the rigour of this thesis but also inspired my passion to pursue excellence.To Dr. Solomon Oyelere, Bar.Kola Abiri, Mr. Amuni Olayinka and Mr. Lewis Akinwunmi, I want to say a big thank you for the mentorship and concern to see that I am making progress.The resources and support provided by the University of Eastern Finland, especially the School of Computing have played a role in achieving this academic feat.The enabling academic environment and the timeless assistance from my lecturers and the also program coordinator -Oili Kohonen have paved the way for growth and innovative thinking.I would like to express sincere gratitude to my precious jewel Bukola Ojo and my lovely children Joanna and Jedidah for their prayers, inspiration and understanding.Their endless support throughout the challenging phases of my academic pursuit has been my anchor.Their confidence in my strength has served as a propelling force and a constant reminder of the importance of perseverance.To everyone who has supported me in this course, I extend my thanks for the fellowship that has helped in the actualisation of this academic goal.Your support has been of immense benefit.In summary, have concluded that in unity, we can achieve a lot.I am really grateful to each person mentioned and those I could not mention for their endless support throughout this journey.
Author: Ojo, Olumide
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W7215644623