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Behavior and Satisfaction with Ai-Developed Online Lessons of Communication Faculty of Management Science Students at Udon Thani Rajabhat University |
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| รหัสดีโอไอ | |
| Creator | Seksun Saiseesod |
| Title | Behavior and Satisfaction with Ai-Developed Online Lessons of Communication Faculty of Management Science Students at Udon Thani Rajabhat University |
| Contributor | Bunyanuch Sutthiarj |
| Publisher | Research and Development Institute, Nakhon Ratchasima Rajabhat University |
| Publication Year | 2569 |
| Journal Title | Research Community and Social Development Journal |
| Journal Vol. | 20 |
| Journal No. | 1 |
| Page no. | 86-109 |
| Keyword | Online Lessons, Artificial Intelligence, Satisfaction, Self-Directed Learning, Journalism Education |
| URL Website | https://so04.tci-thaijo.org/index.php/NRRU/issue/view/18509 |
| Website title | https://so04.tci-thaijo.org/index.php/NRRU/ |
| ISSN | 3027-7515 |
| Abstract | Background and Objective: In the contemporary digital education landscape, Artificial Intelligence(AI) has emerged as a transformative force in higher education instruction. This research aimed to: 1) study theusage behaviors of Communication Arts students, Faculty of Management Science, Udon Thani RajabhatUniversity regarding AI-developed online lessons, 2) examine their level of satisfaction with these instructionaltools, and 3) compare student opinions between AI-developed online lessons and traditional instructional methods.Methodology: The research sample consisted of 63 Communication Arts students at Udon ThaniRajabhat University enrolled in the News Reporting course during Semester 2, Academic Year 2025, selectedusing purposive sampling (students who had engaged with all AI-developed online lesson activities, at least 80%of all activities, throughout the semester). The research instrument was an online questionnaire administered viaGoogle Forms, yielding a high reliability coefficient (Cronbach's Alpha = 0.93). Data were analyzed usingdescriptive statistics—frequency, percentage, mean, and standard deviation—along with a One-Sample t-test forcomparative analysis (reference value μ₀ = 3.00).Results: The majority of participants were female (60.32%), aged 19 years (53.97%), and primarilyutilized smartphones as their main device (84.13%), typically 2–3 times per week with peak usage occurring nearexamination periods and before class sessions. Overall satisfaction was rated at a high level (μ = 4.08, σ = 0.69),with Google Classroom usability receiving the highest score (μ = 4.15), followed by lesson content quality (μ =4.12). Regarding the comparative analysis, students perceived AI-developed lessons as significantly superior totraditional methods across all measured dimensions (μ = 3.81, σ = 0.79, t(566) = 24.245, p < 0.001), with thehighest scores attributed to ease of use and timely assessment feedback (μ = 3.92).Discussion and/or Suggestion: The findings reflect the digital learning behaviors of Communicationstudents at Udon Thani Rajabhat University, who prioritize convenience and mobile accessibility. It isrecommended that instructors adopt a Mobile-First Design approach and selectively integrate AI into appropriatecourses to support Self-Directed Learning alongside classroom instruction. Future research should employ quasiexperimental designs with control groups to more rigorously validate these comparative findings. |
