Unravelling Students’ Perspectives, Personalities and Practices of Using AI in Education Dataset
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, Lea...
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| creator | Lim, Wei Jie Tan, You Hung See, Sherrer Lim, Lisa Lee, Jace Subramanian, Shanmuga Tan, Wah Pheow |
| 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. |
| doi_str_mv | 10.17632/cp3wpfmfdt |
| format | Dataset |
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| identifier | DOI: 10.17632/cp3wpfmfdt |
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| language | eng |
| recordid | cdi_datacite_primary_10_17632_cp3wpfmfdt |
| source | DataCite |
| subjects | Applied Psychology Quantitative Design of Research |
| title | Unravelling Students’ Perspectives, Personalities and Practices of Using AI in Education Dataset |
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