Technological Competence, Training and Support, Attitude Towards AI, and Teachers’ Acceptance DOI Creative Commons

Bob Lourence Silagan,

Teresita T Tumapon

Published: May 5, 2025

The presence of artificial intelligence (AI) in the digital world offers innovative solutions to persistent challenges education. However, teachers' willingness embrace AI is often hindered by concerns about maintaining professional autonomy, data privacy, adequate training, and ensuring authentic interactions with students. This study examined levels technological competence, training support, attitude towards among teachers, how these factors influence teachers’ acceptance AI. A quantitative research design was employed, incorporating descriptive, correlational, causal elements. Data were collected through surveys administered 100 teachers from Senior High School Junior departments Liceo de Cagayan University during 2024–2025 academic year. Descriptive statistics, Pearson’s r correlation, multiple linear regression techniques used analyze data. Findings revealed that demonstrated high competence (M = 4.12), support 3.92), a positive 4.24), which corresponded 4.12). Significant correlations found between key influencing factors: (r 0.738, p < .05), 0.899, 0.851, .05). Remarkably, emerged as strongest predictor (β 0.669, concludes significantly influenced their they receive, and, most notably, attitude. To enhance integration, educational institutions may prioritize comprehensive teacher provide supportive environments, address related AI’s reliability accuracy. Since predictor, promoting reliable, beneficial, pedagogically relevant tool could boost integrate it into practices.

Language: Английский

ESL Academic Writing in Higher Education DOI
Diana Carrascal Tris, Qianting Yuan

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 293 - 324

Published: April 9, 2025

The application of artificial intelligence (AI) in higher education could offer benefits for research and learning but also raises ethical concerns about authorship academic dishonesty. This pilot study explores the impact AI on ESL writing, particularly their potential to enhance students' reading writing skills while mitigating unethical practices. 15 sophomores completed two tasks—one at beginning one end semester—after receiving training responsible use tools. findings indicate a notable decrease cases plagiarism fraud, alongside improvements global scores, organization, content quality, grammar orthography. Additionally, students reported general positive perception tools, drafting revision stages recognized role as supportive rather than substitutive. These results suggest proper integration can promote integrity proficiency education.

Language: Английский

Citations

0
Technological Competence, Training and Support, Attitude Towards AI, and Teachers’ Acceptance DOI Creative Commons

Bob Lourence Silagan,

Teresita T Tumapon

Published: May 5, 2025

The presence of artificial intelligence (AI) in the digital world offers innovative solutions to persistent challenges education. However, teachers' willingness embrace AI is often hindered by concerns about maintaining professional autonomy, data privacy, adequate training, and ensuring authentic interactions with students. This study examined levels technological competence, training support, attitude towards among teachers, how these factors influence teachers’ acceptance AI. A quantitative research design was employed, incorporating descriptive, correlational, causal elements. Data were collected through surveys administered 100 teachers from Senior High School Junior departments Liceo de Cagayan University during 2024–2025 academic year. Descriptive statistics, Pearson’s r correlation, multiple linear regression techniques used analyze data. Findings revealed that demonstrated high competence (M = 4.12), support 3.92), a positive 4.24), which corresponded 4.12). Significant correlations found between key influencing factors: (r 0.738, p < .05), 0.899, 0.851, .05). Remarkably, emerged as strongest predictor (β 0.669, concludes significantly influenced their they receive, and, most notably, attitude. To enhance integration, educational institutions may prioritize comprehensive teacher provide supportive environments, address related AI’s reliability accuracy. Since predictor, promoting reliable, beneficial, pedagogically relevant tool could boost integrate it into practices.

Language: Английский

Citations

0