Assessment of AI ethical reflection: the development and validation of . . . This study developed and validated the AI Ethical Reflection Scale (AIERS), a tool for measuring university students’ ethical reflection on AI in three dimensions: AI ethical awareness, AI critical evaluation, and AI for social good
The AI Assessment Scale (AIAS): A Framework For Ethical Integration Of . . . In developing this scale, we consider the ethical challenges and considerations that emerge when GenAI is employed in HE assessments and provide a practical solution for higher education institutions (HEIs) to adapt to a GenAI assessment approach that enhances student engagement, ensures ethical usage, and fosters skill development
Comprehensive AI assessment framework: Enhancing educational evaluation . . . This paper presents the Comprehensive AI Assessment Framework (CAIAF), an evolved version of the AI Assessment Scale (AIAS) by Perkins, Furze, Roe, and MacVaugh, targeted toward the ethical integration of AI into educational assessments
Development and validation of an instrument to measure . . . - Springer In this study, we developed and validated the instrument (AT-EAI) to assess undergraduate students’ attitudes toward AI ethics The instru-ment’s reliability, content validity, and construct validity were evaluated following its development and application in a sample of 1,076 undergraduate students
Measuring undergraduate students reliance on Generative AI during . . . Traditional measures often link reliance behaviors on AI to decision-making outcomes We developed a scale to measure students' reliance behaviors on Gen AI during PLS EFA revealed four distinct factors: reflective, cautious, thoughtless, and collaborative use CFA indices showed that the scale can be applied to different PLS tasks Note
The Rise of Artificial Intelligence in Educational Measurement . . . In this paper, a diverse group of AIME members examines the ethical implications of AI-powered tools in educational measurement, explores significant challenges such as automation bias and environmental impact, and proposes solutions to ensure AI's responsible and effective use in education
The Artificial Intelligence Assessment Scale (AIAS): A . . . - oapa. Against this backdrop, we outline a practical, simple, and sufficiently comprehensive tool to allow for the integration of GenAI tools into educational assessment: the AI Assessment Scale (AIAS) The AIAS empowers educators to select the appropriate level of GenAI usage in assessments based on the learning outcomes they seek to address
Design and validation of the AI literacy questionnaire: The affective . . . Carolus etal (2023) conducted confirmatory factor analyses and created a 12-item scale to specifically measure AI readiness among adult learners through self-report assessment across four domains: ‘Use and apply AI’, ‘Understand AI’, ‘Detect AI’ and ‘Ethics’, based on the four cognitive domains proposed by Ng et al ,2021b ( )
Development and Validation of a Scale Measuring Student Attitudes . . . This study is relevant in that it develops a scale that measures student attitudes toward AI and tests the validity of that scale First, the importance of attitudes toward AI education was confirmed through a literature review