Heliyon, Journal Year: 2024, Volume and Issue: 10(21), P. e39686 - e39686
Published: Oct. 22, 2024
Language: Английский
International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)
Published: Oct. 16, 2024
Abstract Faculty perspectives on the use of artificial intelligence (AI) in higher education are crucial for AI’s meaningful integration into teaching and learning, yet research is scarce. This paper presents a study designed to gain insight faculty members’ ( N = 122) AI self-efficacy distinct latent profiles, perceived benefits, challenges, use, professional development needs related AI. The respondents saw greater equity as greatest benefit, while students lack literacy was among with majority interested development. Latent class analysis revealed four member profiles: optimistic, critical, critically reflected, neutral. optimistic profile moderates relationship between usage. adequate support services suggested successful sustainable digital transformation.
Language: Английский
Citations
10
JAMA Network Open, Journal Year: 2024, Volume and Issue: 7(11), P. e2448714 - e2448714
Published: Nov. 22, 2024
IMPORTANCE Understanding the association of artificial intelligence (AI) with physician burnout is crucial for fostering a collaborative interactive environment between physicians and AI. OBJECTIVE To estimate AI use in radiology radiologist burnout. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study conducted questionnaire survey May October 2023, using national quality control system China. Participants included radiologists from 1143 hospitals. Radiologists reporting regular or consistent were categorized as group. Statistical analysis was performed 2023 to 2024. EXPOSURE practice. MAIN OUTCOMES MEASURES Burnout defined by emotional exhaustion (EE) depersonalization according Maslach Inventory. Workload assessed based on working hours, number image interpretations, hospital level, device type, role workflow. acceptance determined via latent class considering AI-related knowledge, attitude, confidence, intention. Propensity score–based mixed-effect generalized linear logistic regression used associations its components. Interactions use, workload, additive multiplicative scales. RESULTS Among 6726 this study, 2376 (35.3%) female 4350 (64.7%) male; median (IQR) age 41 (34-48) years; 3017 group (1134 [37.6%] female; [IQR] age, 40 [33-47] years) 3709 non-AI (1242 [33.5%] 42 [34-49] years). The weighted prevalence significantly higher compared (40.9% vs 38.6%; P < .001). After adjusting covariates, associated increased odds (odds ratio [OR], 1.20; 95% CI, 1.10-1.30), primarily driven EE (OR, 1.21; 1.10-1.34). A dose-response observed frequency ( trend more pronounced among high workload lower acceptance. significant negative interaction noted use. CONCLUSIONS RELEVANCE In burnout, frequent an risk particularly those Further longitudinal studies are needed provide evidence.
Language: Английский
Citations
7
International Journal of Hospitality Management, Journal Year: 2025, Volume and Issue: 127, P. 104119 - 104119
Published: Jan. 28, 2025
Language: Английский
Citations
0
Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: Feb. 24, 2025
Language: Английский
Citations
0
Computers in Human Behavior Artificial Humans, Journal Year: 2025, Volume and Issue: 4, P. 100132 - 100132
Published: Feb. 26, 2025
Language: Английский
Citations
0
BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)
Published: March 26, 2025
Abstract Background As artificial intelligence (AI) becomes increasingly integral to healthcare, preparing medical and health sciences students engage with AI technologies is critical. Objectives This study investigates the perceived readiness of in Saudi Arabia, focusing on four domains: cognition, ability, vision, ethical perspectives, using Medical Artificial Intelligences Readiness Scale for Students (MAIRS-MS). Methods A cross-sectional survey was conducted between October November 2023, targeting from various universities schools Arabia. total 1,221 e-consented participate. Data were collected via a 20-minute Google Form survey, incorporating 22-item MAIRS-MS scale. Descriptive multivariate statistical analyses performed Stata version 16.0. Cronbach alpha calculated ensure reliability, least squares linear regression used explore relationships students’ demographics their scores. Results The overall mean score 62 out 110, indicating moderate level readiness. Domain-specific scores revealed generally consistent levels readiness: cognition (58%, 23.2/40), ability (57%, 22.8/40), vision (54%, 8.1/15) ethics 8.5/15). Nearly 44.5% believed AI-related courses should be mandatory whereas only 41% reported having such required course program. Conclusions Arabia demonstrate across ethics, both solid foundation areas growth. Enhancing curricula emphasizing practical, ethical, forward-thinking skills can better equip future healthcare professionals an AI-driven future.
Language: Английский
Citations
0
Frontiers of digital education., Journal Year: 2025, Volume and Issue: 2(1)
Published: March 1, 2025
Language: Английский
Citations
0
Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(11), P. 1008 - 1008
Published: Oct. 30, 2024
Artificial Intelligence (AI) technology, particularly generative AI, has positively impacted education by enhancing mathematics instruction with personalized learning experiences and improved data analysis. Nonetheless, variations in AI literacy, trust dependency on these technologies among teachers can significantly influence their development of 21st-century skills such as self-confidence, problem-solving, critical thinking, creative collaboration. This study aims to identify distinct profiles trust, examines how correlate the aforementioned skills. Using a cross-sectional research design, collected from 489 China. A robust three-step latent profile analysis method was utilized analyze data. The revealed five literacy teachers: (1) Basic Engagement; (2) Developing Literacy, Skeptical AI; (3) Balanced Competence; (4) Advanced Integration; (5) Expertise Confidence. found that an increase directly correlates decrease findings underscore need for careful integration educational settings. Excessive reliance lead detrimental dependencies, which may hinder essential contributes existing literature providing empirical evidence impact professional teachers. It also offers practical implications policymakers institutions consider balanced approaches integration, ensuring enhances rather than replaces thinking problem-solving capacities educators.
Language: Английский
Citations
2
Creativity Research Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13
Published: Dec. 5, 2024
Emerging Artificial Intelligence (AI) capabilities are redefining roles traditionally assigned to humans or tools in numerous tasks, and thereby creating tensions professions ranging from education engineering, design film. As a result, we suggest now is the time for greater vitality professional dialogue research agenda on how AI, especially Generative affects human creative agency. While AI poses challenges agency, it also offers growth potential, demanding balanced approach its opportunities risks. To bolster dialogue, propose framework detailing three key attributes of AI's impact agency: whether perceived as competitor complement skills; effectiveness performance; and, systems perform high-stakes low-stakes function. We then literacy moderating influence these attributes. Our aims this (i) serve starting point developing research-based strategies that will allow augment rather than diminish it, (ii) provide useful foundation conversations between creativity researchers developers.
Language: Английский
Citations
1
Educational Technology Research and Development, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 11, 2024
Language: Английский
Citations
1