Reimagining Tradition: A Comparative Study of Artificial Intelligence and Virtual Reality in Sustainable Architecture Education DOI Open Access

Ying Cao,

Xuewen Gao, Hongqiao Yin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11135 - 11135

Published: Dec. 19, 2024

Artificial intelligence and virtual reality technologies have significant potential in traditional architectural education. Historically used separately, their educational impacts are not fully understood. To advance sustainable architecture education, this study incorporates language illustration tools of artificial intelligence, along with immersive painting simulation capabilities reality, into the curriculum Jiangnan architecture. Through a randomized controlled trial, 60 students were divided AI, VR, control groups. Based on establishment an adaptive course learning assessment system, empirically compares effects methods, teaching methods across four dimensions: knowledge, design, computation, learning. Independent sample t-tests one-way analysis variance to validate differences effectiveness these technological applications. Findings reveal that notably enhances design outcomes, whereas shows pronounced bolstering knowledge acquisition computational tasks. proves particularly suited conceptualization narrative-based tasks, while aligns closely model creation post-design refinement activities. These findings provide new perspectives for hybridizing contributing outcomes.

Language: Английский

When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary School Students DOI Creative Commons
GuangYuan Ma,

S S Tian,

Yang Song

et al.

Psychology Research and Behavior Management, Journal Year: 2025, Volume and Issue: Volume 18, P. 151 - 167

Published: Jan. 1, 2025

This study aims to examine the relationships between social anxiety, learning adaptability, AI technology usage, and behavioral problems among primary school students, with a focus on mediating role of adaptability moderating usage. A cross-sectional survey was conducted 1240 students aged 8-15 in Luzhou, Sichuan Province. Social anxiety measured using Anxiety Scale for Children (SASC), assessed Children's Learning Adaptability Questionnaire (CSAQ), were evaluated Child Behavior Checklist (CBCL), tool usage gauged through self-developed questionnaire. Data analysis involved correlation multiple regression analyses SPSS, moderated mediation effect analyzed Process Model 59. found significantly positively predict problems, indicating that higher levels associated more problems. partially mediated this relationship, suggesting not only directly impacts but also indirectly heightens risk by reducing adaptability. Additionally, relationship stronger observed at Specifically, positive influence became pronounced as increased, frequent use can amplify impact outcomes. increases diminishing plays its effects becoming highlights need educators improving students' judiciously incorporate technology, consider individual differences, particularly mental health, foster comprehensive healthy student development.

Language: Английский

Citations

1
CONTRADICTORY ATTITUDES TOWARD ACADEMIC AI TOOLS: THE EFFECT OF AWE-PRONENESS AND CORRESPONDING SELF-REGULATION DOI Creative Commons
Jiajin Tong,

Yangmingxi Zhang,

Yutong Li

et al.

Computers in Human Behavior Artificial Humans, Journal Year: 2025, Volume and Issue: unknown, P. 100123 - 100123

Published: Jan. 1, 2025

Language: Английский

Citations

1
Research on influencing factors and mechanisms of college students’ use of artificial intelligence tools based on sor and rational behavior models DOI Creative Commons

Linlin Bai

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

0
The Impact of AI on the Future of Education in Indonesia DOI Creative Commons

Mohammad Fauziddin,

Twinda Rizki Adha,

Nurul Arifiyanti

et al.

Educative Jurnal Ilmiah Pendidikan, Journal Year: 2025, Volume and Issue: 3(1), P. 1 - 16

Published: Jan. 16, 2025

Artificial Intelligence (AI) has the potential to revolutionize education in Indonesia by improving its quality and accessibility. The current study employed a Systematics Literature Review (SLR) method analyze impact of AI implementation education. findings revealed that can support adaptive learning, provide accurate assessments, personalize students' learning experiences. However, limited infrastructure, data privacy concerns, digital divide remain significant challenges. Effective utilization requires teacher training clear ethical policies protect student privacy. By integrating technology, system foster more innovative responsive environment, equipping students face challenges era. also recommended collaboration among government, educational institutions, private sectors is needed maximize

Language: Английский

Citations

0
Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines DOI Creative Commons

John Manuel C. Buniel,

Juancho Intano,

Odinah Cuartero

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: April 16, 2025

STEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, addressing challenges by means of several mechanisms including research. Consequently, curricula higher education institutions prepare undergraduate students taking these fields to engage produce quality research outputs preparation for their future careers or roles. The advent educational resources help perform research-related tasks artificial intelligence. Although AI use is viewed as inappropriate doing scholarly works due concerns about academic integrity the fear losing essential cognitive skills, growing dependence among inevitable. In this regard, present study seeks empirically investigate influence toward students’ productivity, mediating disposition, self-efficacy. Through literature review, a structural model was proposed validated. Initially, instrument developed reflective constructs where items were also generated using review. Eventually, an online survey conducted recorded 834 valid responses from students. Results revealed that seven hypotheses model, six are supported except causal path between productivity. paths dispositions, self-efficacy well three This indicates mediation linking findings imply strategic integration may foster not only skills development but motivation confidence, which together could enhance overall productivity fields.

Language: Английский

Citations

0
Cyberpsychology: Validity of the AI Chatbots Usage Scale for University Students DOI
Ashraf Ibrahim, Mohamed Nemt-allah

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Abstract This study developed and validated the AI Chatbots Usage Scale for assessing university students' engagement with artificial intelligence chatbots in higher education. The research employed a quantitative methodology 374 male undergraduate students from Al-Azhar university. Through rigorous psychometric analysis, including exploratory confirmatory factor analyses, four-factor structure emerged: Ease of Use, Perceived Usefulness, Trust, Accessibility. scale demonstrated excellent reliability (McDonald's ω = .911, Cronbach's α .911) strong construct validity, supported by good model fit indices (CMIN/DF 1.622, CFI .940, RMSEA .041). Factor analysis revealed that four dimensions collectively explained 47.360% total variance, loadings ranging .519 to .729. final 27-item showed robust internal consistency across all factors, highest mean scores observed Use (M 29.07, SD 6.02) strongest correlation between Trust Usefulness (.899). These findings provide educators researchers instrument measuring chatbot usage academic settings, while offering insights improving implementation strategies scale's properties support its utility evaluating enhancing integration educational contexts.

Language: Английский

Citations

0
Foundations of AI in Educational Assessment DOI

Goran Trajkovski,

Heather Hayes

Digital education and learning, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 58

Published: Jan. 1, 2025

Language: Английский

Citations

0
Reimagining Tradition: A Comparative Study of Artificial Intelligence and Virtual Reality in Sustainable Architecture Education DOI Open Access

Ying Cao,

Xuewen Gao, Hongqiao Yin

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11135 - 11135

Published: Dec. 19, 2024

Artificial intelligence and virtual reality technologies have significant potential in traditional architectural education. Historically used separately, their educational impacts are not fully understood. To advance sustainable architecture education, this study incorporates language illustration tools of artificial intelligence, along with immersive painting simulation capabilities reality, into the curriculum Jiangnan architecture. Through a randomized controlled trial, 60 students were divided AI, VR, control groups. Based on establishment an adaptive course learning assessment system, empirically compares effects methods, teaching methods across four dimensions: knowledge, design, computation, learning. Independent sample t-tests one-way analysis variance to validate differences effectiveness these technological applications. Findings reveal that notably enhances design outcomes, whereas shows pronounced bolstering knowledge acquisition computational tasks. proves particularly suited conceptualization narrative-based tasks, while aligns closely model creation post-design refinement activities. These findings provide new perspectives for hybridizing contributing outcomes.

Language: Английский

Citations

0