Menu
×
West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 8 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 8 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
2 p.m. – 6 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 8 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 8 p.m.
Phone: (843) 805-6892
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Today's Hours
West Ashley Library
9 a.m. - 7 p.m.
Phone: (843) 766-6635
Folly Beach Library
Closed
Phone: (843) 588-2001
Edgar Allan Poe/Sullivan's Island Library
Closed for renovations
Phone: (843) 883-3914
Wando Mount Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 805-6888
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
St. Paul's/Hollywood Library
9 a.m. - 8 p.m.
Phone: (843) 889-3300
Otranto Road Library
9 a.m. - 8 p.m.
Phone: (843) 572-4094
Mt. Pleasant Library
9 a.m. - 8 p.m.
Phone: (843) 849-6161
McClellanville Library
9 a.m. - 6 p.m.
Phone: (843) 887-3699
Keith Summey North Charleston Library
9 a.m. - 8 p.m.
Phone: (843) 744-2489
John's Island Library
9 a.m. - 8 p.m.
Phone: (843) 559-1945
Hurd/St. Andrews Library
9 a.m. - 8 p.m.
Phone: (843) 766-2546
Miss Jane's Building (Edisto Library Temporary Location)
2 p.m. – 6 p.m.
Phone: (843) 869-2355
Dorchester Road Library
9 a.m. - 8 p.m.
Phone: (843) 552-6466
John L. Dart Library
9 a.m. - 7 p.m.
Phone: (843) 722-7550
Baxter-Patrick James Island
9 a.m. - 8 p.m.
Phone: (843) 795-6679
Main Library
9 a.m. - 8 p.m.
Phone: (843) 805-6930
Bees Ferry West Ashley Library
9 a.m. - 8 p.m.
Phone: (843) 805-6892
Mobile Library
9 a.m. - 5 p.m.
Phone: (843) 805-6909
Patron Login
menu
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
A Questionnaire of Artificial Intelligence Use Motives: A Contribution to Investigating the Connection between AI and Motivation
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Eyüp Yurt (ORCID
Eyüp Yurt (ORCID 0000-0003-4732-6879 ); Ismail Kasarci (ORCIDIsmail Kasarci (ORCID 0000-0002-4686-3106 )- Language:
English- Source:
International Journal of Technology in Education. 2024 7(2):308-325.- Publication Date:
2024- Document Type:
Journal Articles
Reports - Research
Tests/Questionnaires - Language:
- Additional Information
- Availability: International Society for Technology, Education, and Science. ISTES Organization, Monument, CO 80132. e-mail: [email protected]; e-mail: [email protected]; Web site: https://www.ijte.net/index.php/ijte/about
- Peer Reviewed: Y
- Source: 19
- Education Level: Higher Education
Postsecondary Education - Subject Terms:
- Subject Terms:
- ISSN: 2689-2758
- Abstract: This study introduces the Questionnaire of AI Use Motives (QAIUM), an instrument designed to measure motivation levels in individuals using artificial intelligence (AI) applications. Building on a theoretical framework that emphasizes motivation over dispositions and defines motivation as expectancy/value, the QAIUM aims to fill a research gap in understanding the motivational factors that govern AI application use. Previous studies have often overlooked this human aspect, focusing instead on technological facets while failing to provide a robust theoretical foundation for measuring motivation. The QAIUM, administered to 1068 university students across various degree programs, was evaluated for its factorial structure, reliability, discriminatory capacity, and correlation with the General Attitudes to Artificial Intelligence Scale (GAAIS). The results demonstrate that the QAIUM aligns with the Eccles and Wigfield motivation model, boasts good reliability levels, discriminatory capacity, and a significant correlation with GAAIS, confirming its validation and reliability. Hence, the QAIUM provides an effective tool for investigating motivational factors affecting AI application utilization in academic instruction and intervention.
- Abstract: As Provided
- Publication Date: 2024
- Accession Number: EJ1427096
- Availability:
Contact CCPL
Copyright 2022 Charleston County Public Library Powered By EBSCO Stacks 3.3.0 [350.3] | Staff Login
No Comments.