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Evaluating Computer Science Students' Experiences and Motivation Towards Learning Artificial Intelligence

Author

Listed:
  • Anas Alhur

    (Lecturer at the College of Public Health and Health Informatics University of Hail, Hail, Saudi Arabia)

  • Arwa Alhur

    (School Psychologist, BA, Diploma, and MPhil in Psychology, Hail, Saudi Arabia)

  • Afrah Alhur

    (Clinical Nutrition Specialist, King Khalid Hospital, Hail, Saudi Arabia)

  • Kholod Almalki

    (Master’s Student, King Abdulaziz University, Jeddah, Saudi Arabia)

  • Reem Aljoudi

    (English Language Instructor, Taif University - Department of Foreign Languages Saudi Arabia)

  • Huda Aloqla

    (College of Public Health and Health Informatics, University of Hail, Hail, Saudi Arabia)

  • Sara AlKayyal

    (Master of Science student in information system and data analytics, Imam Abdulrahman Bin Faisal University, Saudi Arabia)

  • Mona Almalki

    (Master’s Student in the Computer Science Department at the University of Jeddah, Saudi Arabia)

  • Anoud Alenazi

    (Ministry of Education, Saudi Arabia)

  • Aseel Almalki

    (Computer Sciences Department, Umm Al-Qura University Saudi Arabia)

Abstract

This study investigates the experiences and motivations of Saudi Arabian computer science students (aged 18 and above) in their pursuit of knowledge in Artificial Intelligence (AI). It employs a cross-sectional design using web-based surveys. Findings indicate that students recognize AI's transformative potential in computer science and express a willingness to embrace it in their careers. However, confidence levels vary regarding using AI tools, understanding healthcare AI, and assessing AI's impact on computer science education. The study emphasizes the significance of intrinsic motivation, experiential learning, and pedagogical strategies like collaborative learning in AI education. Additionally, it underscores the importance of addressing gender and diversity considerations to create inclusive AI learning environments. In conclusion, this research provides valuable insights into computer science students' experiences and motivations in AI education. It offers practical implications for enhancing AI pedagogy, reducing barriers to learning, and promoting diversity and inclusivity in the AI field. Educators can empower students to navigate the dynamic AI landscape effectively by tailoring educational approaches to individual learner needs.

Suggested Citation

  • Anas Alhur & Arwa Alhur & Afrah Alhur & Kholod Almalki & Reem Aljoudi & Huda Aloqla & Sara AlKayyal & Mona Almalki & Anoud Alenazi & Aseel Almalki, 2023. "Evaluating Computer Science Students' Experiences and Motivation Towards Learning Artificial Intelligence," British Journal of Teacher Education and Pedagogy, Al-Kindi Center for Research and Developments, vol. 2(3), pages 49-56, October.
    • Handle: RePEc:alk:bjtep0:v:2:y:2023:i:3:id:6141
    DOI: 10.32996/bjtep.2023.2.3.5
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