Using Generative AI by Students of the Faculty of Education, Nakhon Phanom University
Main Article Content
บทคัดย่อ
This article aimed 1) to study the current situations and the desired situations, and 2) to assess the needs of using AI in the learning process of students at the Faculty of Education, Nakhon Phanom University. The sample group consisted of 226 undergraduate and graduate students, selected using stratified random sampling based on percentage criteria. The research instruments were two questionnaires. The first questionnaire inquired about the current situations of using AI in the learning process of students at the Faculty of Education, Nakhon Phanom University. The content validity index ranged from .80 to 1.00, with item discrimination values ranging from .63 to .91, and the overall reliability was .98. The second questionnaire inquired about the desired situations of using AI in the learning process. The content validity index ranged from .80 to 1.00, with item discrimination values ranging from .62 to .89, and the overall reliability was .99. The statistics used were percentage, mean, standard deviation, and Modified Priority Needs Index (PNIModified).
The research findings revealed that 1) the current situations of using AI in the learning process of students at the Faculty of Education, Nakhon Phanom University were at a moderate level, while the desired situations were at a high level. 2) The overall need assessment had a value of .47. When examining in individual aspect, the needs were ranked from highest to lowest as follows: (1) using AI in research, (2) using AI in image creation, (3) using AI in presentation, (4) using AI in learning, and (5) using AI in document creation.
Article Details

อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
• บทความทุกเรื่องได้รับการตรวจสอบทางวิชาการโดยผู้ทรงคุณวุฒิ จำนวน 3 ท่าน ต่อ 1 เรื่อง จากภายในและภายนอกวิทยาลัยบัณฑิตเอเซีย
• การตีพิมพ์และเผยแพร่ของวารสารวิทยาลัยบัณฑิตเอเซียนี้ เนื้อหาบทความ ทรรศนะและข้อคิดเห็นใด ๆ ในวารสารถือว่าเป็นของผู้เขียน โดยเฉพาะทางกองบรรณาธิการวารสาร หรือวิทยาลัยบัณฑิตเอเซีย ไม่จำเป็นต้องเห็นด้วย
เอกสารอ้างอิง
Anderson, P. (2023). AI-enhanced presentations: Tools and techniques for success. Journal of Digital Education, 45(2); 67-80.
Brown, K. (2023). The role of AI in academic writing: A transformative approach. Educational Innovations Quarterly, 32(1); 24-35.
Chen, L., et al. (2019). Intelligent learning environments: A framework for leveraging AI in education. Computers & Education, 142; 103641.
Choudhury, P., et al. (2020). The impact of artificial intelligence on marketing. Journal of Business Research, 112; 185-196.
Deng, L., et al. (2020). AI in education: Applications and challenges. Journal of Educational Technology & Society, 23(2); 47-61.
Hossain, M. S., et al. (2020). Smart transportation: A systematic review on the application of artificial intelligence. IEEE Access, 8, 100890-100910.
Jurafsky, D., & Martin, J. H. (2020). Speech and language processing (3rd ed.). Pearson.
Liakos, K. G., et al. (2018). Machine learning in agriculture: A review. Sensors, 18(8); 2674.
Miller, S., & Davis, T. (2021). AI in research: Applications and implications for higher education. Journal of Academic Research, 54(4); 102-118.
Office of the Secretariat of the Education Council. (2020). AI for learning development. Bangkok: Prikhwan Graphic Co., Ltd.
Roberts, L. (2020). Personalized learning through AI: The future of education. Educational Technology Today, 61(3); 87-95.
Smith, J., & Johnson, R. (2022). AI in art and design: Bridging creativity and technology. Visual Arts Journal, 27(3); 45-60.
Srisa-ard, B. (2017). Preliminary Research. 10th. Suweeriyasan.
Wang, F., et al. (2020). AI-driven personalized learning: The future of education. Educational Technology Research and Development, 68(4); 1231-1252.
Wongwanich, S. (2015). Assessing the needs for research. Bangkok: Chulalongkorn University Press.
Zawacki-Richter, O., et al. (2019). Systematic review of research on artificial intelligence in higher education: A framework for future research. Educational Technology Research and Development, 67(4); 1005-1028.
Zhang, H., et al. (2020). Application of artificial intelligence in agriculture: A review. Agricultural Systems, 179; 102778.