NotesFAQContact Us
Collection
Advanced
Search Tips
Back to results
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1484897
Record Type: Journal
Publication Date: 2025
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1927-5250
EISSN: EISSN-1927-5269
Available Date: 0000-00-00
The Readiness Survey of Students in Using Artificial Intelligence for Distance Education in Higher Education
Patthanan Bootchuy; Phantipa Amornrit; Piyapot Tantaphalin
Journal of Education and Learning, v14 n5 p273-282 2025
With the rapid advancement of artificial intelligence, AI-powered learning platforms have become essential tools for college students to acquire knowledge and enhance their academic performance. However, students' readiness to effectively integrate AI into distance learning remains critical in maximizing its benefits. This study aimed to (1) examine students' readiness to apply artificial intelligence (AI) for distance learning in higher education and (2) compare the readiness levels between undergraduate and graduate students in distance education at Sukhothai Thammathirat Open University. The sample consisted of 445 students from 12 disciplines, including undergraduate and graduate students, selected through volunteer sampling. The research instrument was a survey assessing students' readiness to apply AI in distance learning at the tertiary level. Data analysis included frequency, percentage, mean, standard deviation, analysis of variance (ANOVA), and content analysis. The results revealed that (1) students demonstrated high readiness to use artificial intelligence for distance learning. The findings were as follows: 1.1) Of the respondents, 61.1% were female, and 38.9% were male. Undergraduates accounted for 59.8%, while 40.2% were graduate students, with most respondents in their second year (40.4%). Most (59.8%) had previous experience using AI for educational purposes, with popular platforms being ChatGPT, Gemini, Canva AI, and Claude. 1.2) Students demonstrated a high level of readiness to use artificial intelligence for distance learning (M = 3.78, S.D. = 1.08), 1.3) Students' understanding of artificial intelligence was moderate (M = 3.18, S.D. = 1.12), 1.4) Students' application of AI for distance learning was moderate (M = 3.20, S.D. = 1.18) and 1.5) the ethical and legal use of artificial intelligence for learning at a high level (M = 3.56, S.D. = 1.15). (2) No significant difference was found in the readiness levels between undergraduate and graduate students in using artificial intelligence for distance education (p > 0.05). Students recommended organizing additional courses or training sessions on using artificial intelligence (AI) to enhance their knowledge, practical skills, and awareness of necessary precautions when using AI. Key focus areas include preventing misuse, upholding ethical standards in AI applications, and ensuring data security.
Canadian Center of Science and Education. 1595 Sixteenth Ave Suite 301, Richmond Hill, Ontario, L4B 3N9 Canada. Tel: 416-642-2606; Fax: 416-642-2608; e-mail: jel@ccsenet.org; Web site: http://www.ccsenet.org/journal/index.php/jel
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Thailand
Grant or Contract Numbers: N/A
Author Affiliations: N/A