A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Янв. 23, 2024

Abstract Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed investigate factors influencing university students’ attitudes and usage of ChatGPT in Arab countries. The survey instrument “TAME-ChatGPT” was administered 2240 participants from Iraq, Kuwait, Egypt, Lebanon, Jordan. Of those, 46.8% heard 52.6% used it before study. results indicated that a positive attitude were determined by ease use, towards technology, social influence, perceived usefulness, behavioral/cognitive influences, low risks, anxiety. Confirmatory factor analysis adequacy constructs. Multivariate demonstrated significantly influenced country residence, age, type, recent academic performance. validated as useful tool for assessing adoption among students. successful integration relies on elements, anxiety, minimal risks. Policies should be tailored individual contexts, considering variations student observed this

Язык: Английский

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Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations

Cogent Education, Год журнала: 2023, Номер 11(1)

Опубликована: Дек. 4, 2023

This study aimed to provide an in-depth understanding of English as a Foreign Language (EFL) students' perceptions concerning both the benefits and limitations Artificial Intelligence (AI) in context critical thinking. Utilizing qualitative research design that focuses on case studies employs semi-structured interviews, seven master's degree students from two different Indonesian universities were purposively selected for sample. The findings revealed complex view thinking involves questioning norms, analyzing context, evaluating evidence. Students acknowledged AI's utility enriching various facets thinking, such academic theory scrutiny. However, concerns also raised about limitations, including lack personalization, potential echo chambers, difficulties nuanced understanding. concludes AI can be asset development skills, but with caveats require careful management. A balanced approach capitalizes strengths while being aware its is necessary cultivating robust abilities among EFL students. Limitations include reliance self-reported data, which may introduce biases, heterogeneity participants' backgrounds, affecting generalizability. Future consider more objective measures observations or psychometric tests, investigate pedagogical methods integrating applications effectively.

Язык: Английский

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Artificial Intelligence Alone Will Not Democratise Education: On Educational Inequality, Techno-Solutionism and Inclusive Tools

Sustainability, Год журнала: 2024, Номер 16(2), С. 781 - 781

Опубликована: Янв. 16, 2024

Artificial Intelligence (AI) in Education claims to have the potential for building personalised curricula, as well bringing opportunities democratising education and creating a renaissance of new ways teaching learning. Millions students are starting benefit from use these technologies, but millions more around world not, due digital divide deep pre-existing social educational inequalities. If this trend continues, first large-scale delivery AI could lead greater inequality, along with global misallocation resources motivated by current techno-solutionist narrative, which proposes technological solutions quick flawless way solve complex real-world problems. This work focuses on posing questions about future Education, intending initiate pressing conversation that set right foundations (e.g., inclusion diversity) generation is permeated technology. The main goal our opinion piece conceptualise sustainable, inclusive ecosystem facilitates equitable, high-quality lifelong learning all. contribution starts synthesising how might change we learn teach, focusing case companions assistive technology disability. Then, move discuss some socio-technical features will be crucial avoiding perils systems worldwide (and perhaps ensuring their success leveraging education). also discusses using together free, participatory democratic resources, such Wikipedia, Open Educational Resources open-source tools. We emphasise need collectively designing human-centred, transparent, interactive collaborative AI-based algorithms empower give complete agency stakeholders, supporting emerging pedagogies. Finally, ask what it would take revolution provide egalitarian empowering access transcends any political, cultural, language, geographical learning-ability barriers, so can responsive all learners’ needs.

Язык: Английский

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ADVANCEMENTS AND CHALLENGES IN AI INTEGRATION FOR TECHNICAL LITERACY: A SYSTEMATIC REVIEW

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(4), С. 1415 - 1430

Опубликована: Апрель 17, 2024

This systematic review explores the advancements and challenges associated with integration of artificial intelligence (AI) in promoting technical literacy. Technical literacy is increasingly important today's digital age, where understanding utilizing technology are essential skills. AI has potential to enhance by providing personalized learning experiences, facilitating hands-on learning, offering innovative tools resources. However, education also presents challenges, such as ensuring equitable access, addressing ethical considerations, overcoming barriers. The examines a range studies literature related for literacy, focusing on key themes tools. It highlights transform tailored experiences that cater individual needs preferences. AI-driven tools, simulations, virtual laboratories, intelligent tutoring systems, have been shown student engagement concepts. Despite benefits, identifies integration, including need teacher training, concerns about data privacy, risk reinforcing existing inequalities. Addressing these requires careful planning, collaboration between educators developers, commitment access educational Overall, this provides insights into current state opportunities approach. By leveraging AI, can prepare students success technology-driven world. Keywords: Advancement, Challenges, Integration, Literacy.

Язык: Английский

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Bridging technology and pedagogy from a global lens: Teachers’ perspectives on integrating ChatGPT in English language teaching

Computers and Education Artificial Intelligence, Год журнала: 2024, Номер 6, С. 100218 - 100218

Опубликована: Март 19, 2024

The rise of Artificial Intelligence in educational contexts has sparked both excitement and trepidation, highlighting the urgent need to investigate its implications, especially English Language Teaching. In light this context, study aimed find out how language teachers perceive pedagogical benefits challenges posed by ChatGPT when incorporated into ELT identify potential avenues for such digital innovations. Adopting a qualitative research design, data were purposively collected distributing an open-ended questionnaire 46 from multiple countries. This sample was solicited via academic platform ResearchGate, assuring broad representation ranks teaching experience. Thematic analysis used unpack rich textual responses. Findings revealed that, while recognize ChatGPT's facilitate personalized dynamic learning interactions, they also harboured perceptible concerns regarding linguistic fidelity, overreliance on tool, possibility creativity suppression. addition, perceived limitations instrument developing crucial skills as listening speaking highlighted. further emphasized targeted professional development agile curriculum adaptation maximize other AI tools. contributes burgeoning discourse AI's interaction with incorporating global perspective, making it invaluable teachers, designers, tech innovators. Limitations, recommendations implications provided.

Язык: Английский

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Generative Artificial Intelligence in Higher Education: Exploring Ways of Harnessing Pedagogical Practices with the Assistance of ChatGPT

Deleted Journal, Год журнала: 2024, Номер 1(2), С. 103 - 111

Опубликована: Март 20, 2024

There is a growing interest in using generative artificial intelligence (AI) for educational purposes within the higher education environments, while AI applications (such as ChatGPT) can transform traditional teaching and learning methods. ChatGPT an advanced tool that generates new content human-like responses. The purpose of this paper to use research assistant order explore ways be harnessed enhance pedagogical practices education. This qualitative study, which output-responses generated by provided starting point investigation. various including personalized learning, automated assessment feedback generation, virtual assistants chatbots, creation, resource recommendation, time management, language translation support, assistance, simulations labs. Other affordances strengthen experience regard collaboration communication, accessibility inclusivity, well literacy. When implementing tools such education, ethical considerations (e.g., data privacy, transparency, accessibility, cultural sensitivity), potential misuses concerns need also addressed. Although aid generation content-ideas further exploration, it complementary-supportive tool, its output necessitates human evaluation review. integration other process/practices has implications educators, students, design curricula, university policy makers. Received: 17 January 2024 | Revised: 27 February Accepted: 19 March Conflicts Interest author declares she no conflicts work. Data Availability Statement sharing not applicable article were created or analyzed study.

Язык: Английский

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AI‐driven adaptive learning for sustainable educational transformation

Sustainable Development, Год журнала: 2024, Номер unknown

Опубликована: Окт. 3, 2024

Abstract This paper scrutinizes how adaptive learning technologies and artificial intelligence (AI) are transforming today's education by making it personalized, accessible, efficient as well leading people to accepting, addressing, mitigating sustainable development. Recently, witnessed a remarkable technological surge driven various advances in technology, which can be demonstrated the increase of number scientific publications on this topic from just 1 1990 636 2023. Ongoing digitalization revolution together with novel approach respect each student's unique style abilities paved way for represented innovative tools that personalize educational experiences cater individual learners. All contributes preparing more educated informed citizens, drives innovation, supports economic growth necessary achieving future. Our bibliographic study employs VOSviewer conduct bibliometric analysis total 3518 selected using keywords “adaptive learning” “AI” (represented articles, proceeding papers, book chapters) indexed Web Science (WoS) database 2024. results demonstrate recent changes played key role learning, was rather reinforced “digital surge” brought about COVID‐19 pandemic. findings useful further development field where they employed relevant stakeholders policymakers scholars researchers.

Язык: Английский

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A UTAUT-Based Framework for Analyzing Users’ Intention to Adopt Artificial Intelligence in Human Resource Recruitment: A Case Study of Thailand

Systems, Год журнала: 2024, Номер 12(1), С. 28 - 28

Опубликована: Янв. 15, 2024

Recruitment is a fundamental aspect of Human Resource Management to drive organizational performance. Traditional recruitment processes, with manual stages, are time-consuming and inefficient. Artificial Intelligence (AI), which demonstrates its potential in various sectors such as healthcare, education, notable cases ChatGPT, currently reshaping by automating tasks improve efficiency. However, Thailand, where there growing demand for talents, the application AI remains relatively limited. This study focuses on human resources (HR) professionals aiming understand their perspectives integration recruitment. It utilized Unified Theory Acceptance Use Technology (UTAUT) model, customized suit specific requirements Thailand practices. The explores factors influencing users’ intention adopt Survey questionnaire items were created based prior literature refined insights from HR experts ensure applicability context Thailand. A survey involving 364 recruiting Bangkok metropolitan area supplied comprehensive responses. reveals that several factors, including perceived value, autonomy, effort expectancy, facilitating conditions, significantly impact While social influence trust technology do not have direct intention, directly affects value. Trust positively influences Effort Expectancy. provides valuable benefits professionals, organizations, developers offering into adoption sustainability, enhancing processes promoting effective use tools this sector.

Язык: Английский

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Artificial intelligence potential for net zero sustainability: Current evidence and prospects

Next Sustainability, Год журнала: 2024, Номер 4, С. 100041 - 100041

Опубликована: Янв. 1, 2024

This comprehensive review explores the nexus between AI and pursuit of net-zero emissions, highlighting potential in driving sustainable development combating climate change. The paper examines various threads within this field, including applications for net zero, AI-driven solutions innovations, challenges ethical considerations, opportunities collaboration partnerships, capacity building education, policy regulatory support, investment funding, as well scalability replicability solutions. Key findings emphasize enabling role optimizing energy systems, enhancing modelling prediction, improving sustainability sectors such transportation, agriculture, waste management, effective emissions monitoring tracking. also highlights related to data availability, quality, privacy, consumption, bias, fairness, human-AI collaboration, governance. Opportunities building, investment, are identified key drivers future research implementation. Ultimately, underscores transformative achieving a sustainable, provides insights policymakers, researchers, practitioners engaged change mitigation adaptation.

Язык: Английский

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AI-Driven Personalized Learning Paths: Enhancing Education Through Adaptive Systems

Algorithms for intelligent systems, Год журнала: 2024, Номер unknown, С. 507 - 517

Опубликована: Янв. 1, 2024

Язык: Английский

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