An Investigation of University Students' Attitudes Towards Artificial Intelligence Ethics DOI Open Access
Gülsüm Aşıksoy

International Journal of Engineering Pedagogy (iJEP), Journal Year: 2024, Volume and Issue: 14(8), P. 153 - 169

Published: Dec. 10, 2024

The increasing complexity and widespread use of artificial intelligence (AI) underscore the importance its ethical dimensions. Understanding diverse perspectives on AI ethics is crucial, especially among university students who will shape future technological advancements. This study aims to deeply examine students’ attitudes toward ethics, focusing fairness, transparency, privacy, responsibility, non-maleficence. A mixed-methods approach was used. In quantitative phase, 355 from engineering (E) education science (ES) programs were evaluated using Ethics Attitudes Scale. qualitative semi-structured interviews with 23 thematically analyzed gain detailed based gender discipline. findings revealed significant gender-based differences in fairness female scoring higher than male students. Interdisciplinary evident transparency dimension, where ES showed greater sensitivity. Interviews highlighted that student emphasized legal compliance data security more, whereas focused financial information privacy. prioritized user-friendly language feedback complaints discussions.

Language: Английский

Understanding PSE students’ reactions to the postplagiarism concept: a quantitative analysis DOI Creative Commons
Rahul Kumar

International Journal for Educational Integrity, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 2, 2025

Language: Английский

Citations

0
In-service elementary school science teachers’ self-reported pedagogical content knowledge in Ghana DOI Creative Commons
Robert Kwadwo Siemoh, Prince Duku,

Sampson Boye

et al.

Discover Education, Journal Year: 2025, Volume and Issue: 4(1)

Published: March 19, 2025

Language: Английский

Citations

0
ШТУЧНИЙ ІНТЕЛЕКТ У СУЧАСНІЙ ОСВІТІ: ПЕРСПЕКТИВИ ЗАСТОСУВАННЯ ТА ВИКЛИКИ DOI Creative Commons
Лариса Вікторівна Куцак

Modern Information Technologies and Innovation Methodologies of Education in Professional Training Methodology Theory Experience Problems, Journal Year: 2025, Volume and Issue: 74, P. 27 - 37

Published: Feb. 11, 2025

The article examines the prospects for application of artificial intelligence (AI) technologies in modern education, identifies main directions their implementation, key advantages and challenges. It is noted that implementation AI an important component digital transformation which involves personalization educational process, automation routine tasks teachers, expanding access to high-quality services. Particular attention paid problems inequality, insufficient training as well lack a clear regulatory framework regulating use environment. paper analyzes experience integrating into process Ukraine abroad, particular successful examples adaptive learning systems, automated assessment, intelligent assistants proctoring systems. established personalized contributes taking account individual needs students, but requires ethical approach protection personal data. Automation assessment allows transparency efficiency feedback, has limitations creative tasks. risks associated with AI, area data confidentiality, importance developing teacher programs effective technology. creation national strategy includes development infrastructure, ensuring literacy formation standards technology, recommended. emphasizes can significantly improve quality create more inclusive environment, promote academic integrity. At same time, success depends on integrated takes technical, organizational aspects. Innovative technologies, have potential become tool transforming contributing increasing its efficiency, adaptability flexibility. such will make education accessible, aimed at meeting both society each student.

Language: Английский

Citations

0
Perceptions, Benefits, and Challenges of Students in SMU Senior High School on the Integration of Generative AI DOI Creative Commons

Keira Danielle Pablo,

Kale Gezler Cadorna,

Roman Cabanag

et al.

Published: April 14, 2025

As we stand at the cusp of a revolution in classrooms, utilization Generative Artificial Intelligence (GenAI) education has catapulted scholarly discourses into spotlight. However, few research studies have delved potential benefits and challenges GenAI education. This study sought to determine perceptions, benefits, students Saint Mary's University Senior High School (SMUSHS) regarding use generative AI. The employed descriptive-comparative design, using both quantitative qualitative methods. A Likert scale was used section, while an open-ended question for part. With purposive sampling, 274 were selected as respondents study. After data analysis, findings revealed that senior high school positively perceive AI tool enhances learning outcomes. Additionally, tend focus more on drawbacks than when it comes GenAI, evidenced by significantly higher average level perceived experience their It also found frequency usage significant difference students' perceptions Furthermore, academic standing played major role shaping challenges. For integration education, majority suggest restrictions limitations be implemented well strengthening policies ensure are not relying solely work. could serve basis formulating guidelines conducting seminars teachers address misconceptions increase awareness educational settings.

Language: Английский

Citations

0
متطلبات توظيف بعض تطبيقات الذكاء الاصطناعي التوليدي ‏في التدريس الجامعي من وجهة نظر أعضاء هيئة التدريس ‏بجامعة أم القرى DOI Open Access

أماني الشعيبي

المجلة التربوية لکلية التربية بسوهاج, Journal Year: 2024, Volume and Issue: 123(123), P. 1633 - 1664

Published: July 30, 2024

هدفت الدراسة إلى معرفة متطلبات توظيف بعض تطبيقات الذكاء الاصطناعي التوليدي في التدريس الجامعي من وجهة نظر أعضاء هيئة بجامعة أم القرى، واستخدم المنهج الوصفي المسحي، وتكونت عينة (371) عضو تدريس جامعة الاستبيان كأداة لجمع البيانات، وأظهرت نتائج أن القرى جاءت بدرجة كبيرة، وأنه لا توجد فروق دالة إحصائياً متوسطات تقديرات أفراد حول تعزى لمتغيري النوع الاجتماعي والكلية، كما أظهرت النتائج هناك سنوات الخبرة، ولصالح الذين خبرتهم (10 أقل 15 سنة) المتطلبات البشرية والمتطلبات الإدارية، (أقل 5 سنوات) المادية القانونية.

Citations

0
Ethical and pedagogical implications of AI in language education: An empirical study at Ha'il University DOI Creative Commons
Fahad Aljabr, Arif Ahmed Mohammed Hassan Al-Ahdal

Acta Psychologica, Journal Year: 2024, Volume and Issue: 251, P. 104605 - 104605

Published: Nov. 1, 2024

Language: Английский

Citations

0
Novice2Expert Research Framework DOI
Oluwabunmi Dorcas Bakare,

Agnes O. Ademakinwa

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 255 - 286

Published: Sept. 20, 2024

The adoption of AI in education and research is not negotiable the contemporary educational ecosystem. Despite its myriads challenges global concerns, Librarians are hopping up their game as anchors for successful integration so that students educators alike seamlessly navigate from being novice to expert. Novice2Expert Research Framework presents pivotal ethical infusion usage research. framework underpinned by Embedded Librarianship Model which enunciates strategies situate offering information-related content at same time act information resource persons solving confusion. study laid emphasis on critical thinking skills order guide against regurgitation. Embracing will further entrench academic integrity landscape ensure sustainability both space technologies

Language: Английский

Citations

0
An Investigation of University Students' Attitudes Towards Artificial Intelligence Ethics DOI Open Access
Gülsüm Aşıksoy

International Journal of Engineering Pedagogy (iJEP), Journal Year: 2024, Volume and Issue: 14(8), P. 153 - 169

Published: Dec. 10, 2024

The increasing complexity and widespread use of artificial intelligence (AI) underscore the importance its ethical dimensions. Understanding diverse perspectives on AI ethics is crucial, especially among university students who will shape future technological advancements. This study aims to deeply examine students’ attitudes toward ethics, focusing fairness, transparency, privacy, responsibility, non-maleficence. A mixed-methods approach was used. In quantitative phase, 355 from engineering (E) education science (ES) programs were evaluated using Ethics Attitudes Scale. qualitative semi-structured interviews with 23 thematically analyzed gain detailed based gender discipline. findings revealed significant gender-based differences in fairness female scoring higher than male students. Interdisciplinary evident transparency dimension, where ES showed greater sensitivity. Interviews highlighted that student emphasized legal compliance data security more, whereas focused financial information privacy. prioritized user-friendly language feedback complaints discussions.

Language: Английский

Citations

0