Unravelling Students’ Perspectives, Personalities and Practices of Using AI in Education Dataset

Published: 22 October 2024| Version 1 | DOI: 10.17632/cp3wpfmfdt.1
Contributors:
Wei Jie Lim, You Hung Tan, Sherrer See, Lisa Lim, Jace Lee, Shanmuga Subramanian, Wah Pheow Tan

Description

The dataset depicts data collected measuring participants' frequency of AI usage, Attitudes towards Technology using the Technological Readiness Index (TRI) 2.0, Attitudes towards AI using the General Attitudes towards Artificial Intelligence Scale, Personality using the Big Five Inventory, Learning Approaches using the short Approaches and Study Skills Inventory for Students scale, Need for Cognition using the 18-item Need For Cognition Scale. The analysis conducted using the dataset includes correlation, mediation, and moderation.

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Categories

Applied Psychology, Quantitative Design of Research

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