AI-driven education: a comparative study on ChatGPT and Bard in supply chain management contexts DOI Creative Commons
Raghu Raman, Aswathy Sreenivasan,

M. Suresh

et al.

Cogent Business & Management, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 18, 2024

This study conducts a comparative analysis of two prominent generative artificial intelligence (GAI) tools, ChatGPT and Bard, specifically in the context supply chain management. Using dataset 150 certified professional questions, models are evaluated on basis accuracy, relevance, clarity, t tests employed to assess differences between tools. outperforms Bard both accuracy with statistically significant results, whereas demonstrated slight edge readability, scoring higher Flesch readability ease scale. Both exhibited moderate high cosine similarity for majority indicating closely aligned outputs. However, variations their performance arose from underlying architectures – ChatGPT's iterative improvement process balances utility safety, is designed stricter safeguards minimize misuse. These findings have important implications integration GAI tools educational settings, such as developing curricula training materials requiring relevance. Additionally, results suggest broader applications decision-making, operational efficiency improvements, enhanced stakeholder communication. The also highlights importance continuous model adaptation ensure ethical, safe, effective use AI technologies settings. Future research could explore how real-time feedback loops impact diverse datasets influence relevance across different industries, further advancing role complex domains

Language: Английский

Adoption of AI writing tools among academic researchers: A Theory of Reasoned Action approach DOI Creative Commons
Mohammed A. Al‐Bukhrani, Yasser Alrefaee, Mohammed Tawfik

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0313837 - e0313837

Published: Jan. 9, 2025

This research explores the determinants affecting academic researchers’ acceptance of AI writing tools using Theory Reasoned Action (TRA). The impact attitudes, subjective norms, and perceived barriers on intentions to adopt these technologies is examined through a cross-sectional survey 150 researchers. Structural Equation Modeling (SEM) employed evaluate measurement structural models. Findings confirm positive influence favorable attitudes norms use tools. Interestingly, did not significantly or intentions, suggesting that in context, potential benefits may outweigh obstacles tool adoption. Contrarily, do affect directly. TRA model demonstrates considerable explanatory predictive capabilities, indicating its effectiveness understanding adoption among study’s diverse sample across various disciplines career stages provides insights be generalizable similar contexts, though further with larger samples needed broader applicability. Results offer practical guidance for developers, institutions, publishers aiming foster responsible efficient academia. suggest strategies such as demonstrating clear productivity gains, establishing Writing Tool programs, developing comprehensive training initiatives could promote Strategies focusing cultivating leveraging social influence, addressing particularly effective promoting pioneering study investigates technology model, contributing professional contexts highlighting importance field-specific factors examining behaviors.

Language: Английский

Citations

1
Shifting Dynamics: Who Holds the Reins in Decision‐Making With Artificial Intelligence Tools? Perspectives of Gen Z Pre‐Service Teachers DOI Creative Commons
Ayşe MERZİFONLUOĞLU, Habibe Güneş

European Journal of Education, Journal Year: 2025, Volume and Issue: 60(1)

Published: Feb. 21, 2025

ABSTRACT Artificial intelligence (AI) is significantly shaping education and currently influencing pre‐service teachers' academic professional journeys. To explore this influence, the present study examines 389 Generation Z attitudes towards AI its impact on educational decision‐making at two state universities, using an explanatory sequential mixed‐methods research design. Quantitative data were collected through General Attitudes to Intelligence Scale (GAAIS) survey. It was followed by qualitative gathered via semi‐structured interviews enrich statistical trends with deeper thematic insights. SPSS used for quantitative analysis while MAXQDA employed a systematic of data. The revealed that female teachers held more positive AI, higher levels knowledge contributing these attitudes. Negative attitudes, however, independent gender, discipline or familiarity. Findings also reveal tools, particularly ChatGPT, are primarily as advisors, often adapt AI's suggestions their preferences. predominantly preferred assignments, reports, projects presentations. In acceptance, time effort savings, innovative unbiased recommendations stated key factors. However, there ongoing trust concerns highlighting necessity keeping final decisions under human control. Based findings, comprehensive training students in suggested.

Language: Английский

Citations

1
Training and Technology Acceptance of ChatGPT in University Students of Social Sciences: A Netcoincidental Analysis DOI Creative Commons
Elena-María García-Alonso, Ana León Mejía, Roberto Sánchez-Cabrero

et al.

Behavioral Sciences, Journal Year: 2024, Volume and Issue: 14(7), P. 612 - 612

Published: July 18, 2024

This study analyzes the perception and usage of ChatGPT based on technology acceptance model (TAM). Conducting reticular analysis coincidences (RAC) a convenience survey among university students in social sciences, this research delves into utilization artificial intelligence tool. The considers variables such as gender, academic year, prior experience with ChatGPT, training provided by faculty. networks created statistical tool “CARING” highlight role perceived utility, credibility, shaping attitudes behaviors toward emerging technology. Previous experience, familiarity video games, programming knowledge were related to more favorable towards ChatGPT. Students who received specific showed lower confidence These findings underscore importance implementing strategies that raise awareness about both potential strengths weaknesses educational contexts.

Language: Английский

Citations

7
ChatGPT and Its Societal Impact: Understanding Artificial Intelligence Adoption in Modern Learning Environments Through Integrated Models DOI

Nora Azima Noordin,

Pervez Akhtar, Puteri N. E. Nohuddin

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Navigating the path to ChatGPT adoption among Indian students: unveiling the integration of UTAUT3 and TTF model DOI
Saurabh Gupta,

Priyanka Priyanka

VINE Journal of Information and Knowledge Management Systems, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Purpose This study aims to determine the factors influencing adoption of ChatGPT among management students in India. Specifically, generalise unified theory acceptance and use technology 3 task-technology-fit (TTF) model make them usable new educational setting. Design/methodology/approach used non-probability convenience sampling collect data from 780 Delhi NCR region Confirmatory factor analysis structural equation modelling techniques were assess validity scale test hypotheses. Findings The findings reveal that UTUAT3 have strong prediction power understand intention students. variables, performance expectancy, effort social influence, facilitating conditions, habit, price value personal innovativeness significantly positively impacted ChatGPT. In addition, predictors, learning (LV) TTF Originality/value focuses on India by introducing a novel for grounded UTAUT3 model. incorporated two additional constructs, LV existing more comprehensive robust intention.

Language: Английский

Citations

0
The Influence of Smart Tourism Technology on Use Intention, Perceived Value, and Tourists’ Net Benefits DOI Creative Commons

Zi Yi Wang,

Huang Wenyuan,

Pooja Kumari

et al.

Journal of Quality Assurance in Hospitality & Tourism, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: April 11, 2025

Language: Английский

Citations

0
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study DOI Open Access
Malik Sallam,

Kholoud Al-Mahzoum,

Yousef Mubrik N. Almutairi

et al.

Published: Aug. 16, 2024

Despite the potential benefits of generative Artificial Intelligence (genAI), concerns about its psy-chological impact on medical students, especially with regard to job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed examine specific fears, anxieties, mistrust, and ethical students could harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 studying across various academic years, employing structured self-administered questionnaire an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, Ethics comprising 12 items, three items for each construct. The results indicated variable levels anxiety genAI among participating students: 34.1% reported no role their future careers (n = 56), while 41.5% slightly anxious 61), 22.0% somewhat 36), 2.4% extremely 4). Among constructs, Mistrust was most agreed upon (mean: 12.35±2.78), followed by construct 10.86±2.90), Fear 9.49±3.53), Anxiety 8.91±3.68). Sex, level, Grade Point Average (GPA) did not significantly affect students’ perceptions However, there notable direct association between general elevated scores constructs scale. Prior exposure previous use modify These findings highlighted critical need refined educational strategies address integration training. demonstrated pervasive anxiety, fear, regarding deployment healthcare, indicating necessity curriculum modifi-cations that focus specifically these areas. Interventions should be tailored increase familiarity competency, which would alleviate apprehension equip physicians engage this inevitable technology effectively. study also importance incorporating discussions into courses mistrust human-centered aspects Conclusively, calls proactive evolution education prepare AI-driven healthcare practices shortly ensure well-prepared, confident, ethically informed professional interactions technologies.

Language: Английский

Citations

4
University Students’ Insights of Generative Artificial Intelligence (AI) Writing Tools DOI Creative Commons
Al-Mothana M. Gasaymeh, Mohammad A. Beirat, Asma’a Ali Abu Qbeita

et al.

Education Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 1062 - 1062

Published: Sept. 27, 2024

The current study examined university students’ insights into generative AI writing tools regarding their familiarity with, perceived concerns about, and benefits of these in academic work. used a cross-sectional descriptive research design, data were collected using questionnaire instrument. participants ninety-five undergraduate graduate students from College Education at Jordan. results show that moderate with (M = 3.14, SD 0.81), especially engagement but lacking technical knowledge. They also have 3.35, 0.85), particularly about misinformation security. Despite concerns, recognize the 3.62, capabilities simulating creativity fostering innovation. In addition, showed gender educational level appear to little effect on familiarity, tools. Based findings, recommends enhancing through providing training, hands-on opportunities, ethical discussions. addressing by improving security related AI, guidelines use tools, boosting literacy. Finally, it is recommended enhance perceptions highlighting creative potential within setting, offer personalized learning experiences adapt individual styles, promoting collaboration

Language: Английский

Citations

4
Generative AI and Its Potential Impact on Humanity DOI

Rana Salah Nasr,

Sara El‐Deeb

International Journal of Consumer Studies, Journal Year: 2025, Volume and Issue: 49(1)

Published: Jan. 1, 2025

ABSTRACT This study explores the evolving circumstances of generative artificial intelligence (AI) and its implications for humanity. A central question guides this exploration: “ What is humanity in a world with human‐like machines ?” as proposed by Suleyman (2023). Multiple streams literature have been integrated to employ holistic approach. includes an extensive review analysis recent developments, incorporating insights from various sources experts key domains such AI, AI singularity, ethics, digital transformation, human‐machine collaboration, societal implications. While rapid advancements captured widespread attention, particular emphasis on positive potential, it equally vital address potential negative impacts, including human displacement, lower wages, increased power income inequality (Farina, Yu, Lavazza 2024). Despite varying scholarly perspectives concept there consensus that significantly impacts humans society requires careful consideration. The National Institute Standards Technology (NIST) European Parliament highlight global significance addressing challenges. From practical perspective, these enormous governments, business leaders, scholars, society.

Language: Английский

Citations

0
Exploring Pre-Service Teachers’ Perceptions of the Educational Value and Benefits of Computational Thinking and Programming DOI Open Access
Vanessa Izquierdo-Álvarez, Ana María Pinto Llorente

Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2164 - 2164

Published: March 3, 2025

Computational Thinking (CT) and programming encompass a range of skills that are essential in everyday life play crucial role addressing social environmental challenges. They facilitate the analysis understanding global issues, evaluation viable solutions, formulation strategic decisions contribute to Education for Sustainable Development achievement Goals. The primary objective this study was examine pre-service teachers’ perceptions these areas. A quantitative conducted with 134 university students from Faculty Tourism at University Salamanca. findings indicate CT significantly enhancing digital competence, fostering effective use technological tools, developing problem-solving strategies, increasing self-confidence identifying refining solutions complex problems. Regarding gender differences, significant differences were observed, women scoring higher on average various aspects. These included ability actively seek, compare, select information diverse sources contexts, assess potential risks associated tools—such as security identity concerns—and demonstrate confidence accessing necessary resources training integrate into education.

Language: Английский

Citations

0