Beyond Policing: AI Writing Detection Tools, Trust, Academic Integrity, and Their Implications for College Writing DOI
Louie Giray, Kershnee Sevnarayan, Fatemeh Ranjbaran

et al.

Internet Reference Services Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Jan. 1, 2025

Current AI detectors demonstrate significant technical limitations, including high false-positive and false-negative rates, show bias against non-native English speakers. We argue that detection-focused approaches in writing foster an atmosphere of distrust anxiety, while collaborative integration enhances learning outcomes student engagement. Successful requires clear institutional guidelines on detection, training for educators students, a focus process over product assessment. By shifting from policing mindset to trust-based educational framework, this method aims promote academic integrity, engagement, responsible use college writing.

Language: Английский

Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence DOI Creative Commons
Grant Cooper

Journal of Science Education and Technology, Journal Year: 2023, Volume and Issue: 32(3), P. 444 - 452

Published: March 22, 2023

Abstract The advent of generative artificial intelligence (AI) offers transformative potential in the field education. study explores three main areas: (1) How did ChatGPT answer questions related to science education? (2) What are some ways educators could utilise their pedagogy? and (3) has been utilised this study, what my reflections about its use as a research tool? This exploratory applies self-study methodology investigate technology. Impressively, ChatGPT’s output often aligned with key themes research. However, it currently stands, runs risk positioning itself ultimate epistemic authority, where single truth is assumed without proper grounding evidence or presented sufficient qualifications. Key ethical concerns associated AI include environmental impact, issues content moderation, copyright infringement. It important for model responsible ChatGPT, prioritise critical thinking, be clear expectations. likely useful tool designing units, rubrics, quizzes. Educators should critically evaluate any AI-generated resource adapt specific teaching contexts. was used assistance editing experiment making narrative clearer. intention paper act catalyst broader conversation

Language: Английский

Citations

658

Large language models in education: A focus on the complementary relationship between human teachers and ChatGPT DOI
Jaeho Jeon, Seongyong Lee

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 28(12), P. 15873 - 15892

Published: May 2, 2023

Language: Английский

Citations

280

ChatGPT: Empowering lifelong learning in the digital age of higher education DOI
Soha Rawas

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(6), P. 6895 - 6908

Published: Aug. 9, 2023

Language: Английский

Citations

132

Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158 DOI Creative Commons
Ken Masters

Medical Teacher, Journal Year: 2023, Volume and Issue: 45(6), P. 574 - 584

Published: March 13, 2023

Health Professions Education (HPE) has benefitted from the advances in Artificial Intelligence (AI) and is set to benefit more future. Just as any technological advance opens discussions about ethics, so implications of AI for HPE ethics need be identified, anticipated, accommodated that can utilise without compromising crucial ethical principles. Rather than focussing on technology, this Guide focuses issues likely face teachers administrators they encounter use systems their teaching environment. While many principles may familiar readers other contexts, will viewed light AI, some unfamiliar introduced. They include data gathering, anonymity, privacy, consent, ownership, security, bias, transparency, responsibility, autonomy, beneficence. In Guide, each topic explains concept its importance gives indication how cope with complexities. Ideas are drawn personal experience relevant literature. most topics, further reading suggested explore concepts at leisure. The aim decision-makers all levels alert these take proactive action prepared deal problems opportunities usage presents HPE.

Language: Английский

Citations

128

What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT DOI
Chandan Kumar Tiwari, Mohd Abass Bhat,

Shagufta Tariq Khan

et al.

Interactive Technology and Smart Education, Journal Year: 2023, Volume and Issue: 21(3), P. 333 - 355

Published: Aug. 25, 2023

Purpose The purpose of this paper is to identify the factors determining students’ attitude toward using newly emerged artificial intelligence (AI) tool, Chat Generative Pre-Trained Transformer (ChatGPT), for educational and learning based on technology acceptance model. Design/methodology/approach recommended model was empirically tested with partial least squares structural equation modeling 375 student survey responses. Findings study revealed that students have a favorable view instructional use ChatGPT. Usefulness, social presence legitimacy as well enjoyment motivation, contribute tool in environment. However, perceived ease not found be significant determinant adoption utilization ChatGPT by students. Practical implications This research intended benefit enterprises, academic institutions global community offering light how perceive service an setting. Furthermore, application enhances confidence interest among learners, leading improved literacy general awareness. Eventually, outcome will help AI developers improve their product delivery, regulators regulating usage AI-based bots. Originality/value Due its novelty, current education sector rather restricted. provides aspects ChatGPT, new students, thereby contributing significantly existing advanced technologies. In addition, literature lacks purposes; addresses gap identifying determinants education.

Language: Английский

Citations

124

Exploring the Determinants of Artificial Intelligence (AI) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption DOI Creative Commons
İsmail Çelik

Telematics and Informatics, Journal Year: 2023, Volume and Issue: 83, P. 102026 - 102026

Published: July 26, 2023

To effectively utilize artificial intelligence (AI)-based technologies such as ChatGPT and realize their novel ethical issues, individuals must have a variety of knowledge skills about AI. Such led to the emergence AI literacy. Despite importance literacy in everyday life, little is known its determinants. better understand determinants literacy, we attempted build research model relying on previous different theoretical frameworks. The incorporated digital divide, cognitive absorption, computational thinking. As major finding from current study, thinking was found be significant determinant which facilitate using, recognizing, evaluating AI-based technologies. Moreover, out that with physical access information communication (ICTs) are more expected use recognize Also, motivation using ICTs enable evaluate outcomes findings also showed convenient contributes deep involvement use. Further, higher likely pleasant experience after these

Language: Английский

Citations

78

I Am ChatGPT, the ultimate AI Chatbot! Investigating the determinants of users' loyalty and ethical usage concerns of ChatGPT DOI
Ben Niu, Gustave Florentin Nkoulou Mvondo

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 76, P. 103562 - 103562

Published: Sept. 22, 2023

Language: Английский

Citations

71

Exploring the AI competencies of elementary school teachers in South Korea DOI Creative Commons
Keunjae Kim, Kyungbin Kwon

Computers and Education Artificial Intelligence, Journal Year: 2023, Volume and Issue: 4, P. 100137 - 100137

Published: Jan. 1, 2023

Although the importance of K–12 artificial intelligence (AI) education grows, lack teacher readiness hinders integration AI in schools. To address this issue, study aimed to explore South Korean elementary school teachers' experiences teaching curricula and examine their competencies. A survey interviews were conducted with 67 teachers who have been working AI-leading schools Korea. The results indicated that least confident content knowledge, followed by technological knowledge pedagogical relevant AI. Additionally, 13 revealed five themes regarding education: (1) emphasizing instructional design education; (2) redesigning learning environment promote experiences; (3) lowering anxiety acknowledging limitations knowledge; (4) extending based on computer science (CS) principles; (5) acquiring literacy codes, data, technologies, ethical issues. Based findings, 22 competencies for derived categorized (TPACK) framework. provide a practical framework acquire necessary skills education. contributes understanding practices Korea revealing teachers’ perspectives identifying essential practicing

Language: Английский

Citations

63

In search of artificial intelligence (AI) literacy in teacher education: A scoping review DOI Creative Commons
Katarina Sperling, Carl-Johan Stenberg, Cormac McGrath

et al.

Computers and Education Open, Journal Year: 2024, Volume and Issue: 6, P. 100169 - 100169

Published: March 15, 2024

Artificial Intelligence (AI) literacy has recently emerged on the educational agenda raising expectations teachers' and teacher educators' professional knowledge. This scoping review examines how scientific literature conceptualises AI in relation to different forms of knowledge relevant for Teacher Education (TE). The search strategy included papers proceedings from 2000- 2023 related TE as well intersection teaching. Thirty-four were analysis. Aristotelian concepts episteme (theoretical-scientific knowledge), techne (practical-productive phronesis (professional judgement) used a lens capture implicit explicit dimensions Results indicate that is globally emerging research topic education but almost absent context TE. covers many topics draws methodological approaches. Computer science exploratory teaching approaches influence type epistemic, practical, ethical Currently, not broadly addressed or captured research. Questions ethics are predominantly matter understanding technical configurations data-driven technologies. Teacher's' practical tends translate into adoption digital resources about integration EdTech By identifying several gaps, particularly concerning knowledge, this paper adds more comprehensive can contribute well-informed laying ground future

Language: Английский

Citations

59

Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers' understanding of AI and its implications for teaching & learning DOI Creative Commons
Johanna Velander, Mohammed Ahmed Taiye, Nuno Otero

et al.

Education and Information Technologies, Journal Year: 2023, Volume and Issue: 29(4), P. 4085 - 4105

Published: July 3, 2023

Abstract Uncovering patterns and trends in vast, ever-increasing quantities of data has been enabled by different machine learning methods techniques used Artificial Intelligence (AI) systems. Permeating many aspects our lives influencing choices, development this field continues to advance increasingly impacts us as individuals society. The risks unintended effects such bias from input or algorithm design have recently stirred discourse about how inform teach AI K-12 education. As is a new topic not only for pupils but also teachers, skill sets are required that enable critical engagement with AI. literacy trying close the gap between research practical knowledge transfer AI-related skills. Teachers' technological, pedagogical content (TPACK) important factors literacy. However, teachers' perspectives, beliefs views impact both interpretation operationalisation curriculum. study explores teacher educators' understanding preconceptions education professional development. To gain comprehensive teachers’ conceptualisations regarding an anonymous questionnaire together focus group discussions were employed. qualitative analysis underpinned theoretical framework Intelligent TPACK reveals generally gained through incidental often results pre- misconceptions Our revealed several potential challenges teachers achieving core constructs TPACK, examples vague unclear guidelines policy curriculum, lack its limitations, well emotional responses related participants' preconceptions. These insights consider designing

Language: Английский

Citations

58