{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T21:04:59Z","timestamp":1783976699677,"version":"3.55.0"},"reference-count":69,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T00:00:00Z","timestamp":1765929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Future Internet"],"abstract":"<jats:p>This study examines the role of different factors in supporting the sustainable use of Artificial Intelligence (AI) technologies in higher education, particularly in the context of student interactions with intelligent and human-centered learning tools. Using Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN) within the Technology Acceptance Model (TAM), the research provides a detailed look at how trust influences students\u2019 attitudes and behaviors toward AI-based learning platforms. Data were gathered from 200 students at Occidental Mindoro State College to analyze the effects of social influence, self-efficacy, perceived ease of use, perceived risk, attitude toward use, behavioral intention, acceptance, and actual use. Results from SEM indicate that perceived risk and ease of use have a stronger impact on AI adoption than perceived usefulness and trust. The ANN analysis further shows that acceptance is the most important factor influencing actual AI use, reflecting the complex, non-linear relationships between trust, risk, and adoption. These findings highlight the need for AI systems that are adaptive, transparent, and designed with the user experience in mind. By building interfaces that are more intuitive and reliable, educators and designers can strengthen human\u2013AI interaction and promote responsible and lasting integration of AI in education.<\/jats:p>","DOI":"10.3390\/fi17120581","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T10:41:23Z","timestamp":1765968083000},"page":"581","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Modeling Student Acceptance of AI Technologies in Higher Education: A Hybrid SEM\u2013ANN Approach"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9184-5986","authenticated-orcid":false,"given":"Charmine Sheena R.","family":"Saflor","sequence":"first","affiliation":[{"name":"School of Innovation and Sustainability, De La Salle University, Laguna 4024, Philippines"},{"name":"Department of Industrial and Systems Engineering, De La Salle University, Manila 1004, Philippines"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,17]]},"reference":[{"key":"ref_1","first-page":"102642","article-title":"Opinion paper: \u201cso what if chatgpt wrote it?\u201d multidisciplinary perspectives on opportunities, challenges and implications of Generative Conversational AI for Research, practice and policy","volume":"71","author":"Dwivedi","year":"2023","journal-title":"Int. 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