Deleted Journal, Journal Year: 2024, Volume and Issue: 35(3), P. 284 - 302
Published: Jan. 1, 2024
Language: Английский
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: Sept. 15, 2023
Abstract The release and rapid diffusion of ChatGPT have caught the attention educators worldwide. Some are enthusiastic about its potential to support learning. Others concerned how it might circumvent learning opportunities or contribute misinformation. To better understand reactions concerning education, we analyzed Twitter data (16,830,997 tweets from 5,541,457 users). Based on topic modeling sentiment analysis, provide an overview global perceptions regarding education. triggered a massive response Twitter, with education being most tweeted content topic. Topics ranged specific (e.g., cheating) broad opportunities), which were discussed mixed sentiment. We traced that authority decisions may influence public opinions. average reaction using cheat in exams) differs discussions teaching–learning researchers likely be more interested as intelligent partner). This study provides insights into people's when new groundbreaking technology is released implications for scientific policy communication rapidly changing circumstances.
Language: Английский
Citations
116
Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 6, P. 100203 - 100203
Published: Jan. 12, 2024
This study examines the factors influencing user acceptance of ChatGPT as a daily reference tool and assesses varying levels awareness. It aims to offer valuable insights into potential benefits challenges implementing in an educational context. To achieve this objective, we employ integrated model comprising Technology Acceptance Model (TAM) four novel external constructs: Privacy, Security, Social Influence, Trust. proposed delivers in-depth understanding by simultaneously measuring diverse perspectives. Adopting quantitative research approach, surveys undergraduate students regarding their use ChatGPT. The results contribute bridging gap between technology users, shedding light on users' actual experiences considerations AI-based tools. Specifically, is expected reveal significant influence provide set recommendations for institutions, policymakers, developers. aids developers similar technologies offering how design enhance more user-friendly secure systems that better meet needs expectations.
Language: Английский
Citations
67
Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e31887 - e31887
Published: May 25, 2024
AI-powered chatbots hold great promise for enhancing learning experiences and outcomes in today's rapidly evolving education system. However, despite the increasing demand such technologies, there remains a significant research gap regarding factors influencing users' acceptance adoption of educational contexts. This study aims to address this by investigating that shape attitudes, intentions, behaviors towards adopting ChatGPT smart systems. employed quantitative approach, data were collected from 458 participants through structured questionnaire designed measure various constructs related technology acceptance, including perceived ease use, usefulness, feedback quality, assessment subject norms, attitude behavioral intention use ChatGPT. Structural model analysis (SEM) Statistical techniques then utilized examine relationships between these constructs. The findings revealed Perceived usefulness emerged as predictors attitudes education. Additionally, norms found positively influence intentions purposes. Moreover, significantly proved actual few hypotheses, relationship trust not supported data. contributes existing body information systems applications determining factor context.
Language: Английский
Citations
40
International Journal of Technology in Education, Journal Year: 2024, Volume and Issue: 7(1), P. 86 - 106
Published: Feb. 4, 2024
In the context of contemporary technological advancements, Artificial Intelligence (AI) has gained considerable significance in field education. light ChatGPT’s growing popularity, this research aims to explore how higher education students perceive use ChatGPT academics, examining factors influencing its acceptance, as well benefits, limitations, and ethical concerns. The study applied a survey design, collecting data through Google Forms from undergraduate, postgraduate, doctoral students. A total 162 participants, who were using selected convenience sampling. findings indicate positive perception among respondents regarding ChatGPT's academic applications, acceptance factors, also reveals that towards usage is not significantly influenced by gender, programs, streams. insights holds significant implications for responsible effective integration environments, taking into account perceived benefits
Language: Английский
Citations
30
Human Behavior and Emerging Technologies, Journal Year: 2024, Volume and Issue: 2024(1)
Published: Jan. 1, 2024
This study explores the adoption and societal implications of an emerging technology such as Chat Generative Pre‐Trained Transformer (ChatGPT) in higher education students. By utilizing a mixed‐method framework, this research combines Rogers’ diffusion innovation theory with sentiment analysis, offering innovative methodological approach for examining educational settings. It five attributes—relative advantage, compatibility, ease use, observability, trialability—shaping students’ behavioral intentions toward ChatGPT. Sentiment analysis offers qualitative depth, revealing emotional perceptual aspects, introduces gender‐based perspective. The results suggest that attributes significantly impact rates perceptions ChatGPT, indicating its potential transformative social change within sector. Gen Zs viewed ChatGPT innovative, compatible, user‐friendly, enabling independent pursuit goals. Consequently, benefits provided by motivate students to use tool. Gender differences were observed prioritization attributes, male favoring while female emphasized relative trialability. findings have understanding how technological innovations could be strategically diffused across different segments, especially academic context where ethical considerations integrity are paramount. underscores need demographic‐sensitive, user‐centric design generative artificial intelligence (AI) technologies.
Language: Английский
Citations
23
Learning and Instruction, Journal Year: 2024, Volume and Issue: 95, P. 102011 - 102011
Published: Sept. 12, 2024
Language: Английский
Citations
23
Kybernetes, Journal Year: 2024, Volume and Issue: unknown
Published: Feb. 20, 2024
Purpose Generative AI and more specifically ChatGPT has brought a revolution in the lives of people by providing them with required knowledge that it learnt from an exponentially large base. In this viewpoint, we are initiating debate offer first step towards based management systems organizations. Design/methodology/approach This study is viewpoint develops conceptual foundation using existing literature on how can enhance KM capability Nonaka’s SECI model. It further supports concept collecting data public sector univesity Hong Kong to strenghten our argument mediated system. Findings We posit all four processes, Socialization, Externalization, Combination Internalization significantly improve when integrated ChatGPT. users are, general, satisfied use being capable facilitating generation flow Research limitations/implications The provides be within organizations Further, understanding managers executives for effective through improving processes Originality/value one earliest studies linkage lays system
Language: Английский
Citations
17
Systems, Journal Year: 2025, Volume and Issue: 13(1), P. 22 - 22
Published: Jan. 2, 2025
Global value chains (GVCs) play a pivotal role in advancing export structure optimization East Asia. As GVCs restructure and digital technology rapidly progresses, effectively leveraging these for competitiveness has become essential. However, research rarely examined the key factors GVC restructuring or explored how innovation, policy frameworks, market access contribute to optimization. To address gaps, this study systematically identifies success promoting Asian countries under restructuring, based on global chain theory, resource-based innovation diffusion theory. Through literature review expert interviews, 14 were analyzed using DEMATEL (Decision Making Trial Evaluation Laboratory), ISM (Interpretive Structural Modeling), MICMAC (Cross-Impact Matrix Multiplication Applied Classification) methods. Findings show that strengthening capabilities, facilitating spillovers, investing cross-border e-commerce, improving policies are crucial drivers of Policies enhance access, promote international standards, support investments platforms demonstrate strong influence within system. Collectively, elevate Asia’s position GVCs. This contributes theoretical framework optimization, offering insights into strategies practical guidance development.
Language: Английский
Citations
2
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 7
Published: Jan. 16, 2025
Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding factors influencing AI adoption critical for both research practice. This study focuses on two key objectives: (1) validating an extended version Technology Acceptance Model (TAM) in context by integrating Big Five personality traits mindset, (2) conducting exploratory k-prototype analysis to classify adopters based demographics, AI-related attitudes, usage patterns. A sample N = 1,007 individuals (60% female; M 30.92; SD 8.63 years) was collected. Psychometric data were obtained using validated scales TAM constructs, traits, mindset. Regression used validate TAM, clustering algorithm applied participants into adopter categories. The psychometric confirmed validity TAM. Perceived usefulness strongest predictor attitudes towards (β 0.34, p < 0.001), followed mindset scale growth 0.28, 0.001). Additionally, openness positively associated with perceived ease use 0.15, revealed four distinct clusters, consistent diffusion innovations model: early (n 218), majority 331), late 293), laggards 165). findings highlight importance shaping toward adoption. results provide nuanced understanding types, aligning established innovation theories. Implications deployment strategies, policy-making, future directions are discussed.
Language: Английский
Citations
2
Smart Learning Environments, Journal Year: 2023, Volume and Issue: 10(1)
Published: Dec. 7, 2023
Abstract This study examines the relationship between student perceptions and their intention to use generative artificial intelligence (GenAI) in higher education. With a sample of 405 students participating study, knowledge, perceived value, cost using technology were measured by an Expectancy-Value Theory (EVT) instrument. The scales first validated correlations different components subsequently estimated. results indicate strong positive correlation value AI, weak negative use. As we continue explore implications GenAI education other domains, it is crucial carefully consider potential long-term consequences ethical dilemmas that may arise from widespread adoption.
Language: Английский
Citations
29