DOCENCIA Y DERECHO, Год журнала: 2024, Номер 24, С. 17 - 39
Опубликована: Дек. 31, 2024
La inteligencia artificial generativa está transformando la docencia universitaria. Al mismo tiempo, generando un riesgo de fraude académico. En este trabajo se exponen los mecanismos tecnológicos, institucionales y docentes que disponen las universidades el profesorado para fomentar integridad académica prevenir modo académico ante uso generativa.
Internet Reference Services Quarterly, Год журнала: 2025, Номер unknown, С. 1 - 21
Опубликована: Янв. 19, 2025
The integration of generative AI (GenAI) in higher education is transforming teaching, learning, and research, offering opportunities for innovation efficiency. However, its widespread adoption faces challenges related to ethical considerations, data privacy, intellectual property, compliance with evolving legal frameworks. Universities are cautiously adopting GenAI, focusing on maintaining academic integrity while exploring new ways integrate into assessments student learning. This article focuses University College London's (UCL) approach GenAI offers insights from the practices other universities too. emphasizes need secure environments outlines steps accelerate process, such as acquiring licenses, forming working groups at faculty institutional levels, sharing best through standardized templates. It highlights importance cross-institutional collaboration, including libraries, adaptable policies responsible use ensuring innovation. Recommendations focus balancing responsibility education's GenAI.
Язык: Английский
Процитировано
1
The Clearing House A Journal of Educational Strategies Issues and Ideas, Год журнала: 2025, Номер unknown, С. 1 - 8
Опубликована: Янв. 11, 2025
This paper examines the transformative potential of Generative AI (GenAI) in enhancing data collection and analysis methodologies within educational research. By utilizing automated techniques such as web scraping sentiment analysis, researchers can efficiently gather substantial amounts while minimizing human error bias, thereby improving validity their findings. Furthermore, advanced analytical approaches, including predictive analytics natural language processing, enable deeper insights into complex phenomena that traditional methods may overlook. The underscores ethical considerations associated with GenAI, particularly concerning privacy, informed consent, bias mitigation. It advocates for ongoing innovation research to adapt these technological advancements highlights importance interdisciplinary collaboration refining practices. responsibly integrating enhance outcomes promote equitable learning experiences. Ultimately, this work encourages scholars reflect on future integration GenAI practices consider how innovations reshape landscape.
Язык: Английский
Процитировано
0
International Journal of Latest Technology in Engineering Management & Applied Science, Год журнала: 2025, Номер 14(2), С. 25 - 38
Опубликована: Март 6, 2025
Abstract: The rapid development of generative AI is transforming university information literacy education by reshaping how students access and process information. This study systematically reviews 49 research papers published between 2020 2024, using the PRISMA framework thematic analysis to explore applications, impacts, pedagogical changes associated with in field education. Results show that has a wide range applications education, mainly student learning support, learner-oriented personalized learning, academic assistants, writing assistance, skills development, curriculum design teaching assistance. Generative promoted students’ retrieval, evaluation critical thinking, but also brought challenge over-reliance on may weaken thinking skills. Important methods are needed introduce instruction prompt engineering computational thinking. role teacher shifted from knowledge transmitter facilitator, emphasizing importance professional basic ethical Through results it find can significantly enhance outcomes However, its application requires caution must fully consider potential challenges risks. reasonable design, innovative methods, policy educators leverage advantages cultivate high-quality talent innovation, sense moral responsibility. As technology continues develop, will usher more innovations opportunities, bringing new vitality possibilities higher
Язык: Английский
Процитировано
0
Educational Linguistics, Год журнала: 2025, Номер unknown
Опубликована: Фев. 21, 2025
Abstract The language of artificial intelligence (AI) guidance documents in higher education (HE) institutions reflects broader societal dynamics and raises important questions about inclusivity accessibility. This study investigates how selective (Russell Group) less UK universities craft their student-facing AI documentation, focusing on the discourses embedded within these documents. Using critical discourse analysis (CDA), from six (three top intergenerational mobility rankings three highly bottom) are analysed to explore differences language, style, content, framing agency responsibility. Findings reveal that often adopt hierarchical, authoritarian emphasises individual student accountability for proper use tools. Such an approach universities’ institutional approaches power hierarchy aligns with worries influence AI. In contrast, a relatively more inclusive explanatory rhetoric consistent expectations needs students diverse socioeconomic backgrounds.
Язык: Английский
Процитировано
0
The International Journal of Management Education, Год журнала: 2024, Номер 23(1), С. 101105 - 101105
Опубликована: Ноя. 30, 2024
Язык: Английский
Процитировано
2
DOCENCIA Y DERECHO, Год журнала: 2024, Номер 24, С. 17 - 39
Опубликована: Дек. 31, 2024
La inteligencia artificial generativa está transformando la docencia universitaria. Al mismo tiempo, generando un riesgo de fraude académico. En este trabajo se exponen los mecanismos tecnológicos, institucionales y docentes que disponen las universidades el profesorado para fomentar integridad académica prevenir modo académico ante uso generativa.
Процитировано
0