IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 164634 - 164651
Published: Jan. 1, 2024
Language: Английский
Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: 7, P. 100258 - 100258
Published: June 22, 2024
There are some dichotomies surrounding ChatGPT's application and impact on education as a central part of artificial intelligence (AI) integration. Problems concerning negative preconceptions the limited usage this form AI have been reported, teachers perceive it competitor. This is due to insufficient readiness for its integration lack understanding how can facilitate teaching innovation. Due this, researchers applied bisymmetric approach, where necessity conditional analysis (NCA) symmetrical approach employs logic identify must-have factors required language teachers' passing accountability, while PLS-SEM an asymmetrical follows additive sufficiency should-have that contribute helping them pass their accountability. Applying would generate more results from different perspectives in ChatGPT innovation with it. In line, randomly explored 124 Iranian in-service external internal competencies. The result showed were ready practically use alongside, aware opportunities challenges English (ELT), they could methods approaches it, apply procedures, share colleagues. Moreover, generational mediated correlation between meeting Additionally, NCA generation implementation through among necessary help meet both accountability by ChatGPT. Based these findings, recommended stakeholders shift focus programming teaching, especially ELT.
Language: Английский
Citations
11
Computers and Education Artificial Intelligence, Journal Year: 2024, Volume and Issue: unknown, P. 100320 - 100320
Published: Oct. 1, 2024
Language: Английский
Citations
10
Ethics & Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17
Published: Oct. 25, 2024
This study examines researchers' ethical concerns toward the deployment of GenAI in research and their emotional responses. To acquire an in-depth understanding, we used narrative frames follow-up interviews to collect data from 22 researchers who reported extensive experience with GenAI. An inductive thematic analysis revealed three themes capturing that invoked types reactions. From perspective, our participants were concerned "human agency AI practices," "cognitive impacts overreliance on research," "ethical issues access, accuracy, privacy." they showed "mixed emotions," "positive "negative emotions" when dealing tools. There close connections between implications reactions them. In this light, conclude GenAI, which are determinants future use, should be taken more seriously further research.
Language: Английский
Citations
6
International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)
Published: Sept. 8, 2024
Abstract This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these assess their reliability in identifying AI-generated educational settings, where they are increasingly used address academic integrity concerns. Results show significant reductions detector accuracy (17.4%) faced simple techniques manipulate generated content. The varying performances GenAI tools and indicate cannot currently be recommended for determining violations due limitations potential false accusation which undermines inclusive fair assessment practices. However, may support learning non-punitively. aims guide educators institutions critical implementation higher education, highlighting importance exploring alternatives maintain inclusivity face emerging technologies.
Language: Английский
Citations
6
Communications in computer and information science, Journal Year: 2024, Volume and Issue: unknown, P. 502 - 509
Published: Jan. 1, 2024
Language: Английский
Citations
5
Published: March 4, 2024
The integration of Artificial Intelligence (AI) chatbots in higher education institutions (HEIs) is reshaping the educational landscape, offering opportunities for enhanced student support and administrative efficiency. This study explores future implications AI HEIs, aiming to understand their potential impact on teaching, learning, research processes. Utilizing a narrative literature review (NLR) methodology, this synthesizes existing from diverse sources, including academic databases scholarly publications. findings highlight transformative streamlining tasks, enhancing learning experiences, supporting activities. However, challenges such as integrity concerns, user input understanding, resource allocation pose significant obstacles effective HEIs. underscores importance proactive measures address ethical considerations, provide comprehensive training stakeholders, establish clear guidelines responsible use education. By navigating these challenges, leveraging benefits technologies, HEIs can harness full create more efficient, effective, inclusive, innovative environment.
Language: Английский
Citations
4
International journal of organizational analysis, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 13, 2025
Purpose This study aims to explore the intersection of AI-generated learning materials and active strategies in higher education artificial intelligence (AI) is bringing about changes opening up new possibilities for an improved more efficient education. However, argument that its use education/classroom should be informed by verifiable evidence as well best practice, which this scholarly work helps build evidence-based research assess technology Design/methodology/approach Primary data was collected through structured questionnaire administered online via Google form. Based on non-probability sampling technique, 300 tutors students across UK were purposively targeted, out 218 (72.7%) response rate achieved. Data analyzed using descriptive statistics with aid Statistical Package Social Sciences, whereby regression, correlation Chi-square tests conducted determine statistical significance, direction strength relationship between measured variables. Findings revealed support enable actively engage their learning, likewise enabling develop deeper understanding course content significantly better knowledge retention, critical process. findings further acceptance/regular still below par institutions, there major concern benefits may not fully realized due barriers adoption. Research limitations/implications There are limitations future studies can improve on, especially terms methodology. Pragmatism a philosophical stance integrates quantitative collection qualitative (such interviews) will ask in-depth questions gain holistic quality such empirical. Future also scope allow generalizability check potential biases collection, analysis interpretation processes. Originality/value Despite huge anticipation regarding how AI could transform teachers’ roles education, concrete into actual impact facilitating retention currently lacking. presents theoretical models acceptance explored Technology, Pedagogical Content Knowledge framework inform empirical information students’ retention.
Language: Английский
Citations
0
Teaching and Teacher Education, Journal Year: 2025, Volume and Issue: 157, P. 104952 - 104952
Published: Feb. 11, 2025
Language: Английский
Citations
0
Published: March 14, 2025
Language: Английский
Citations
0
Applied Corpus Linguistics, Journal Year: 2024, Volume and Issue: unknown, P. 100106 - 100106
Published: Sept. 1, 2024
Language: Английский
Citations
3