Creative Dialogue with Generative AI: Exploring the Possible with Ron Beghetto DOI
Punya Mishra, Danah Henriksen

TechTrends, Год журнала: 2024, Номер 68(3), С. 395 - 401

Опубликована: Март 21, 2024

Язык: Английский

Generative Artificial Intelligence Acceptance Scale: A Validity and Reliability Study DOI
Fatma Gizem Karaoğlan Yılmaz, Ramazan Yılmaz, Mehmet Ceylan

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2023, Номер unknown, С. 1 - 13

Опубликована: Дек. 12, 2023

The purpose of this study is to formulate an acceptance scale grounded in the Unified Theory Acceptance and Use Technology (UTAUT) model. designed scrutinize students' generative artificial intelligence (AI) applications. This tool assesses levels toward AI development was conducted three phases, encompassing 627 university students from various faculties who have utilized tools such as ChatGPT during 2022–2023 academic year. To evaluate face content validity scale, input sought professionals with expertise field. initial sample group (n = 338) underwent exploratory factor analysis (EFA) explore underlying factors, while subsequent 250) confirmatory (CFA) for verification structure. Later, it seen that four factors comprising 20 items accounted 78.349% total variance due EFA. CFA results confirmed structure featuring (performance expectancy, effort facilitating conditions, social influence), compatible obtained data. Reliability yielded Cronbach's alpha coefficient 0.97, test–retest method demonstrated a reliability 0.95. discriminative power items, comparative between lower 27% upper participants, calculation corrected item-total correlations. demonstrate exhibits robust reliability, thus affirming its effectiveness measurement instrument.

Язык: Английский

Процитировано

62

Higher Education’s Generative Artificial Intelligence Paradox: The Meaning of Chatbot Mania DOI Open Access

Juergen Rudolph,

Fadhil Mohamed Mohamed Ismail,

Ştefan Popenici

и другие.

Journal of University Teaching and Learning Practice, Год журнала: 2024, Номер 21(06)

Опубликована: Апрель 19, 2024

Higher education is currently under a significant transformation due to the emergence of generative artificial intelligence (GenAI) technologies, hype surrounding GenAI and increasing influence educational technology business groups over tertiary education. This commentary, prepared for Special Issue Journal University Teaching & Learning Practice (JUTLP) on “Enhancing student engagement using Artificial Intelligence (AI) chatbots,” delves into complex landscape opportunities threats that AI chatbots, including ChatGPT, introduce realm higher We argue while offers promise in enhancing pedagogy, research, administration, support, concerns around academic integrity, labour displacement, embedded biases, environmental sustainability, increased commercialisation, regulatory gaps necessitate critical approach. Our commentary advocates development literacy among educators students, emphasising necessity foster an environment responsible innovation informed use AI. posit successful integration must be grounded principles ethics, equity, prioritisation aims human values. By offering nuanced exploration these issues, our contribute ongoing discourse how institutions can navigate rise GenAI, ensuring technological advancements benefit all stakeholders upholding core

Язык: Английский

Процитировано

33

A Primer on Generative Artificial Intelligence DOI Creative Commons
Faisal Kalota

Education Sciences, Год журнала: 2024, Номер 14(2), С. 172 - 172

Опубликована: Фев. 7, 2024

Many educators and professionals in different industries may need to become more familiar with the basic concepts of artificial intelligence (AI) generative (Gen-AI). Therefore, this paper aims introduce some AI Gen-AI. The approach explanatory is first underlying concepts, such as intelligence, machine learning, deep neural networks, large language models (LLMs), that would allow reader better understand AI. also discusses applications implications on businesses education, followed by current challenges associated

Язык: Английский

Процитировано

29

Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse DOI
Yuying Wang, Wang Le, Keng Siau

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 43

Опубликована: Фев. 27, 2024

The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the to address gap in existing literature where there is lack survey that reviews nature its building blocks from human-centric perspective. We first synthesize definition delineate key affordances. then introduce detailed framework encompassing metaverse's nature, infrastructure technologies, input/output technologies facilitate multi-sensory HCI, alongside applications across diverse domains. components within this are explained depth, offering insights into readiness level current technologies. Based on analysis, we outline major open challenges propose promising directions demanding further exploration investigation. By clarifying vision characterizing required realize it, provides essential serves invaluable resource developers researchers working advance transformative medium.

Язык: Английский

Процитировано

27

Collaborative Working and Critical Thinking: Adoption of Generative Artificial Intelligence Tools in Higher Education DOI Open Access
Lena Ivannova Ruiz-Rojas, Luis Salvador-Ullauri, Patricia Acosta-Vargas

и другие.

Sustainability, Год журнала: 2024, Номер 16(13), С. 5367 - 5367

Опубликована: Июнь 24, 2024

This study explores the impact of generative artificial intelligence tools on critical thinking and collaboration among university students, highlighting importance investigating these technologies due to their increasing integration into higher education potential transform traditional pedagogical practices. A predominantly female sample was surveyed assess familiarity with experience perceptions tools. total 87% respondents had prior knowledge AI tools, 38% using them occasionally. Among most popular are Canva 2024 (33%), Chat PDF (26%), YOU.COM (24%). Additionally, 64% believe that significantly improve ability. Despite high occasional use need for continuous training technical support identified. While show promising enhancing in education, previous research has limitations, such as lack longitudinal data inadequacy addressing ethical considerations biases. More comprehensive is needed understand long-term better maximize benefits.

Язык: Английский

Процитировано

26

A Systematic Review of Generative AI for Teaching and Learning Practice DOI Creative Commons
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao

и другие.

Education Sciences, Год журнала: 2024, Номер 14(6), С. 636 - 636

Опубликована: Июнь 13, 2024

The use of generative artificial intelligence (GenAI) in academia is a subjective and hotly debated topic. Currently, there are no agreed guidelines towards the usage GenAI systems higher education (HE) and, thus, it still unclear how to make effective technology for teaching learning practice. This paper provides an overview current state research on HE. To this end, study conducted systematic review relevant studies indexed by Scopus, using preferred reporting items reviews meta-analyses (PRISMA) guidelines. search criteria revealed total 625 papers, which 355 met final inclusion criteria. findings from showed future trends documents, citations, document sources/authors, keywords, co-authorship. gaps identified suggest that while some authors have looked at understanding detection AI-generated text, may be beneficial understand can incorporated into supporting educational curriculum assessments, teaching, delivery. Furthermore, need additional interdisciplinary, multidimensional HE through collaboration. will strengthen awareness students, tutors, other stakeholders, instrumental formulating guidelines, frameworks, policies usage.

Язык: Английский

Процитировано

25

ChatGPT in Teaching and Learning: A Systematic Review DOI Creative Commons
Duha Ali, Yasin Fatemi,

Elahe Boskabadi

и другие.

Education Sciences, Год журнала: 2024, Номер 14(6), С. 643 - 643

Опубликована: Июнь 14, 2024

The increasing use of artificial intelligence (AI) in education has raised questions about the implications ChatGPT for teaching and learning. A systematic literature review was conducted to answer these questions, analyzing 112 scholarly articles identify potential benefits challenges related educational settings. selection process thorough ensure a comprehensive analysis current academic discourse on AI tools education. Our research sheds light significant impact improving student engagement accessibility critical issues that need be considered, including concerns quality bias generated responses, risk plagiarism, authenticity content. study aims summarize utilizations learning by addressing identified through targeted strategies. authors outlined some recommendations will integration into frameworks enhances outcomes while safeguarding standards.

Язык: Английский

Процитировано

20

Artificial Intelligence in Education DOI
Julie A. Delello, Jennifer Bailey,

Arlene Garcia-Lopez

и другие.

Advances in business information systems and analytics book series, Год журнала: 2024, Номер unknown, С. 1 - 26

Опубликована: Июнь 30, 2024

This chapter explores artificial intelligence (AI) and its potential to revolutionize the field of education by enhancing teaching learning. It further highlights ways in which AI technologies can support educators students, including content creation encompassing voice video, task automation, provision personalized learning through adaptive platforms. Potential benefits leveraging technology include improved learner engagement, automated administrative processes, more robust data-driven insights. As advances, a unique opportunity emerges for schools prepare use classroom redefine traditional methodologies. Nonetheless, balancing innovation with ethical considerations includes considering issues transparency privacy algorithms as well mitigating biases data.

Язык: Английский

Процитировано

16

Opportunities, Challenges and School Strategies for Integrating Generative AI in Education DOI Creative Commons
Davy Tsz Kit Ng, Emily Chan, Chung Kwan Lo

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100373 - 100373

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

3

Transforming education: exploring the influence of generative AI on teaching performance DOI Creative Commons
Heni Mulyani, Mohammad I. Azim, Elvia R. Shauki

и другие.

Cogent Education, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 3, 2025

The emergence of Generative Artificial Intelligence (AI) marks a revolutionary advancement in education. This study explores the profound impact implementing AI on teachers' teaching performance, with focus enhancing effectiveness and pedagogical practices. research uses survey methodology, employing proportionated stratified random sampling technique. A total 466 participants, consisting teachers, were involved this study, questionnaires serving as primary tool for data collection. analysis method used was Structural Equation Model (SEM). Research indicates that significantly enhances performance by improving ease use, usefulness, learning. Teacher perceptions AI's usability influence its integration into student-focused learning, learning material development, practice enhancement. Additionally, is crucial adoption. Alongside these promising opportunities, also highlights challenges need to be addressed successful education, such technical limitations necessity teacher training. By exploring application depth, offers valuable insights leveraging technology foster more inclusive, personalized, practical education digital age.

Язык: Английский

Процитировано

2