Case Study: Using Artificial Intelligence as a Tutor for a Programming Course DOI
Olga Timčenko

Опубликована: Ноя. 6, 2024

Язык: Английский

A Systematic Review of Generative AI for Teaching and Learning Practice DOI Creative Commons
Bayode Ogunleye, Kudirat Ibilola Zakariyyah, Oluwaseun Ajao

и другие.

Education Sciences, Год журнала: 2024, Номер 14(6), С. 636 - 636

Опубликована: Июнь 13, 2024

The use of generative artificial intelligence (GenAI) in academia is a subjective and hotly debated topic. Currently, there are no agreed guidelines towards the usage GenAI systems higher education (HE) and, thus, it still unclear how to make effective technology for teaching learning practice. This paper provides an overview current state research on HE. To this end, study conducted systematic review relevant studies indexed by Scopus, using preferred reporting items reviews meta-analyses (PRISMA) guidelines. search criteria revealed total 625 papers, which 355 met final inclusion criteria. findings from showed future trends documents, citations, document sources/authors, keywords, co-authorship. gaps identified suggest that while some authors have looked at understanding detection AI-generated text, may be beneficial understand can incorporated into supporting educational curriculum assessments, teaching, delivery. Furthermore, need additional interdisciplinary, multidimensional HE through collaboration. will strengthen awareness students, tutors, other stakeholders, instrumental formulating guidelines, frameworks, policies usage.

Язык: Английский

Процитировано

22

Students as AI literate designers: a pedagogical framework for learning and teaching AI literacy in elementary education DOI Creative Commons

Miao Yue,

Morris Siu‐Yung Jong, Yun Dai

и другие.

Journal of Research on Technology in Education, Год журнала: 2025, Номер unknown, С. 1 - 22

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

1

The Use of Generative AI Tools in Higher Education: Ethical and Pedagogical Principles DOI
Viet Nguyen

Journal of Academic Ethics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Язык: Английский

Процитировано

1

Reimagining Higher Education: Navigating the Challenges of Generative AI Adoption DOI Creative Commons
Laurie Hughes, Tegwen Malik,

Sandra Dettmer

и другие.

Information Systems Frontiers, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

Abstract The proliferation of generative artificial intelligence (GenAI) has disrupted academic institutions across the world, presenting transformative challenges for decision makers, and leading to questions around existing methods practices within higher education (HE). widespread adoption GenAI tools processes highlights an ongoing change perceptions role humans machines. Academics have expressed concerns relating to: integrity, undermining critical thinking, lowering standards threat models. This study presents a mixed approach developing valuable insight key underlying impacting HE. results highlight many makers in formation policy strategic direction. findings identify significant interdependencies between associated with We further discuss implications high levels driving power factors: (i) perceived risks from Large Language Model training learning; (ii) reliability outputs context impact on creativity making; (iii) poor platform regulation. posit this research as offering new perspective changing landscape HE through GenAI.

Язык: Английский

Процитировано

0

Exploring the impact of generative artificial intelligence on students’ learning outcomes: a meta-analysis DOI
Yinkun Zhu, Qiwen Liu, Li Zhao

и другие.

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Фев. 26, 2025

Язык: Английский

Процитировано

0

From Prompt to Polished: Exploring Student–Chatbot Interactions for Academic Writing Assistance DOI Creative Commons
Maya Usher, Meital Amzalag

Education Sciences, Год журнала: 2025, Номер 15(3), С. 329 - 329

Опубликована: Март 7, 2025

The integration of generative artificial intelligence (GenAI) in higher education has opened new avenues for enhancing academic writing through student–chatbot interactions. While initial research explored this potential, deeper insights into the nature these interactions are needed. This study characterizes graduate students’ with AI chatbots writing, focusing on types assistance they sought and their communication style tone patterns. To achieve this, individual online sessions were conducted 43 students, chatbot analyzed using qualitative quantitative methods. analysis identified seven distinct by students. most frequent requests involved content generation expansion, followed source verification, then concept clarification definitions. Students also support consultation, text refinement formatting, and, less frequently, rephrasing modifying translation assistance. was “requesting,” marked direct appeals assistance, “questioning” “declarative” styles. In terms tone, “neutral” “praising” dominated interactions, reflecting engagement appreciation responses, while “reprimanding” tones relatively low. These findings highlight need tailored interventions that encourage students to seek a broader more in-depth range tasks.

Язык: Английский

Процитировано

0

Integrating Artificial Intelligence in Higher Education DOI
Praveen Dubey, Angela R. Crevar

Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 181 - 208

Опубликована: Янв. 17, 2025

This chapter explores the integration of Artificial Intelligence (AI) in higher education with an emphasis on pedagogy, instruction, and administration for student learning achievement. The paradigm shift moved focus from teacher-centered to learner-centered systems involving AI-powered tools personalized such as intelligent tutoring, adaptive systems, natural language processing (NLP), machine (ML), robotics, automated grading, feedback offer enhanced opportunities teaching learning. However, AI technological transformation presented challenges form ethical considerations, algorithm biases, curriculum development, lack infrastructure, accessibility issues. discusses history evolution AI, technologies education, enhancing pedagogy faculty support, administrative efficiency. Additionally, it addresses considerations future trends adoption education.

Язык: Английский

Процитировано

0

ChatGPT usage and attitudes are driven by perceptions of usefulness, ease of use, risks, and psycho-social impact: a study among university students in the UAE DOI Creative Commons
Malik Sallam, Walid El‐Sayed, Muhammad Y. Al‐Shorbagy

и другие.

Frontiers in Education, Год журнала: 2024, Номер 9

Опубликована: Авг. 7, 2024

Background The use of ChatGPT among university students has gained a recent popularity. current study aimed to assess the factors driving attitude and usage as an example generative artificial intelligence (genAI) in United Arab Emirates (UAE). Methods This cross-sectional was based on previously validated Technology Acceptance Model (TAM)-based survey instrument termed TAME-ChatGPT. self-administered e-survey distributed by emails for enrolled UAE universities during September–December 2023 using convenience-based approach. Assessment demographic academic variables, TAME-ChatGPT constructs’ roles conducted univariate followed multivariate analyses. Results final sample comprised 608 participants, 91.0% whom heard while 85.4% used before study. Univariate analysis indicated that positive associated with three constructs namely, lower perceived risks, anxiety, higher scores technology/social influence. For usage, being male, nationality, point grade average (GPA) well four usefulness, risks use, behavior/cognitive construct ease-of-use construct. In analysis, only explained variance towards (80.8%) its (76.9%). Conclusion findings is commonplace UAE. determinants included cognitive behavioral factors, ease determined These should be considered understanding motivators successful adoption genAI including education.

Язык: Английский

Процитировано

4

Academic Integrity Within the Medical Curriculum in the Age of Generative Artificial Intelligence DOI Creative Commons
Ekaterina Kldiashvili,

Mariana Gomes de Sant’ Ana,

Zarnadze Maia

и другие.

Health Science Reports, Год журнала: 2025, Номер 8(2)

Опубликована: Фев. 1, 2025

The integration of generative artificial intelligence (AI) technologies, such as GPT-3, Wordtune, and Jenni, into academic settings has revolutionized content creation, raising significant questions about authorship originality. While AI offers benefits in efficiency productivity, it presents substantial challenges to integrity. This paper examines these the need for new frameworks policies ensure ethical use. Our study aims develop promoting use safeguarding work authenticity. We employed project-based learning (PBL) methodology enhance student engagement performance. A total 179 students participated. PBL involves real-world projects, fostering critical thinking research skills. Turnitin was used evaluate similarity percentage submitted papers, with a maximum allowable 20%. Results showed that had higher performance (82.5 vs. 66.5) lower percentages (4.5% 13%) compared traditional literature review assessments. effectively identified AI-generated content, although struggled more sophisticated texts. findings highlight effectiveness originality reducing plagiarism. Integrating methodologies, along education, can help institutions maintain integrity while leveraging benefits. Future should refine strategies adapt evolving educational landscape.

Язык: Английский

Процитировано

0

Formulation of rules for the use of AI in teaching social sciences DOI Creative Commons
Martin Richter

Civilia., Год журнала: 2025, Номер 15(1), С. 23 - 38

Опубликована: Фев. 22, 2025

Язык: Английский

Процитировано

0