An Instrument for Measuring Teachers’ Trust in AI-Based Educational Technology
Tanya Nazaretsky, Mutlu Cukurova, Giora Alexandron
Abstract
Evidence from various domains underlines the key role that human factors, and especially, trust, play in the adoption of technology by practitioners. In the case of Artificial Intelligence (AI) driven learning analytics tools, the issue is even more complex due to practitioners’ AI-specific misconceptions, myths, and fears (i.e., mass unemployment and ethical concerns). In recent years, artificial intelligence has been introduced increasingly into K-12 education. However, little research has been conducted on the trust and attitudes of K-12 teachers regarding the use and adoption of AI-based Educational Technology (EdTech).
Topics & Concepts
Computer scienceSurvey instrumentKnowledge managementHuman–computer interactionMultimediaPsychologyApplied psychologyOnline Learning and AnalyticsIntelligent Tutoring Systems and Adaptive LearningExplainable Artificial Intelligence (XAI)