Examination of Undergraduate Student Conceptions of Artificial Intelligence in Education: A Scale Development (Poster 23)

• In Event: AERA Poster Session Sixteen
  In Poster Session: Instructional Technology SIG Posters

Abstract

The purpose of this research is to examine the structure of a scale intended to measure undergraduate students’ conceptions of artificial intelligence (AI) in education. Inspired by a conceptual model to examine eight applications of AI in education, this research document an iterative process to create and validate the scale for this intended audience. The eight-factors include: AI1. Intelligent Tutoring System, AI2. Students' Grading and Evaluation, AI3. Students' Retention and Dropout, AI4. Sentiment Analysis in Education, AI5. Recommendation Systems, AI6. Classroom Monitoring and Visual Analysis, AI7. Personalized Learning, and AI8. Student's Performance Prediction. A complete discussion, limitations, and implications of this research are provided.

Authors

• Karthikeyan Umapathy, University of North Florida
  Presenting Author

• Li Cheng, Worcester Polytechnic Institute
  Presenting Author

• Albert Dieter Ritzhaupt, University of Florida
  Presenting Author

• Kristine Antonyan Zlatkovic, Northwestern University
  Presenting Author

• Muhammad Rehman, University of Florida
  Presenting Author

• Poorya Shidfar, University of Florida
  Presenting Author

• Minyoung Lee, University of Florida
  Presenting Author

• James Nichols, Santa Fe Community College
  Presenting Author

• Brian Abramowitz, University of Florida
  Presenting Author

• Jiawen Zhu, East China Normal University
  Presenting Author