Perspectives of academic staff on artificial intelligence in higher education: exploring areas of relevance DOI Creative Commons
Dana-Kristin Mah, Nils Knoth, Marc Egloffstein

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Март 26, 2025

Despite the recent increase in research on artificial intelligence education (AIED), studies investigating perspectives of academic staff and implications for future-oriented teaching at higher institutions remain scarce. This exploratory study provides initial insight into 112 by focusing three aspects considered relevant sustainable, age AI: instructional design, domain specificity, ethics. The results indicate that participants placed greatest importance AIED Furthermore, indicated a strong interest (mandatory) professional development AI more comprehensive institutional support. Faculty who perceived design as important were likely to use AI-based tools their practice. However, relevance specificity ethics did not predict tool integration, which suggests an intention–behavior gap warrants further investigation factors such literacy structural conditions education. findings may serve basis discussion adequate support services learning AI.

Язык: Английский

Effects of LLM Use and Note-Taking On Reading Comprehension and Memory: A Randomised Experiment in Secondary Schools DOI
Pia Kreijkes, Viktor Kewenig,

Martina Kuvalja

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Does Generative AI Help in Learning Programming: Students’ Perceptions, Reported Use and Relation to Performance DOI Creative Commons
Marina Lepp,

Joosep Kaimre

Computers in Human Behavior Reports, Год журнала: 2025, Номер unknown, С. 100642 - 100642

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Collaborative Uses of GenAI Tools in Project-Based Learning DOI Creative Commons
Maria Perifanou, Anastasios A. Economides

Education Sciences, Год журнала: 2025, Номер 15(3), С. 354 - 354

Опубликована: Март 12, 2025

Artificial intelligence (AI) is forcing a dramatic transformation of the methods by which we acquire knowledge and engage in collaborative learning. Although there are several studies on how AI can support learning, no published examining students actually collaborate among themselves while interacting with tools. For this study, thirty postgraduate were organized into teams three, each team developed project mainly exploiting responses from ChatGPT, Google Gemini, MS Copilot, as well internet class resources. Each selected specific things (IoT) application area described technologies real-world cases area. Then, delivered report full description their interactions these generative (GenAI) tools presented work class. Additionally, answered an online questionnaire closed- open-ended questions participated focus group discussions. Members collaborated to design prompts using five suggested modes collaboration. Eventually, half exploited all modes, but they mostly liked preferred three modes. On average, teammates initially disagreed 24% time eventually reached agreement. Students appreciated GenAI for quick well-structured responses, natural communication style, broad subject coverage, ability simplify complex topics personalized However, expressed concerns about tools’ inaccurate inconsistent identified key risks, such passive over-dependence, outdated information, privacy issues. Finally, recommended that should provide shared well-organized discussion space prompt asking, allowing members simultaneously view other’s tool’s responses. They also advised source verification proper training ensure remain supplementary rather than primary learning

Язык: Английский

Процитировано

0

Can ChatGPT Boost Students’ Employment Confidence? A Pioneering Booster for Career Readiness DOI Creative Commons
Xiao Yu, Zheng Li

Behavioral Sciences, Год журнала: 2025, Номер 15(3), С. 362 - 362

Опубликована: Март 14, 2025

This study examines the impact of ChatGPT on university students’ employment confidence, utilizing comprehensive methodologies such as regression analysis, Inverse Probability Weighting (IPW), and Structural Equation Modeling (SEM). The results indicate that regular use significantly enhances confidence in securing employment, with stronger effects observed among undergraduate students those social sciences. Additionally, this reveals experience plays a partial mediating role effect, underscoring importance user interaction realizing benefits AI tools. These findings suggest not only improves cognitive abilities career-related knowledge but also boosts proactive job-seeking behaviors, fostering increased job market readiness. implications are far-reaching, highlighting how tools can enhance career development support, particularly for at earlier stages their academic journey. As technologies continue to influence education, offers valuable insights into effectively prepare market, potentially contributing future research shaping educational practices ways address challenges.

Язык: Английский

Процитировано

0

Perspectives of academic staff on artificial intelligence in higher education: exploring areas of relevance DOI Creative Commons
Dana-Kristin Mah, Nils Knoth, Marc Egloffstein

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Март 26, 2025

Despite the recent increase in research on artificial intelligence education (AIED), studies investigating perspectives of academic staff and implications for future-oriented teaching at higher institutions remain scarce. This exploratory study provides initial insight into 112 by focusing three aspects considered relevant sustainable, age AI: instructional design, domain specificity, ethics. The results indicate that participants placed greatest importance AIED Furthermore, indicated a strong interest (mandatory) professional development AI more comprehensive institutional support. Faculty who perceived design as important were likely to use AI-based tools their practice. However, relevance specificity ethics did not predict tool integration, which suggests an intention–behavior gap warrants further investigation factors such literacy structural conditions education. findings may serve basis discussion adequate support services learning AI.

Язык: Английский

Процитировано

0