Using Risk-Free Artificial Intelligence in the Classroom DOI
Ankur Nandi, Tapash Das,

Tarini Hader

и другие.

Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 329 - 362

Опубликована: Дек. 13, 2024

This chapter examines professors' perspectives on using risk-free artificial intelligence (AI) in higher education classrooms, focusing the perceived benefits, challenges, and ethical considerations surrounding AI implementation. Researchers gathered insights into experiences viewpoints integrating educational settings through a qualitative study survey method, semi-structured interviews, questionnaires. The findings reveal that while offers substantial opportunities for enhancing teaching learning, it also brings notable challenges concerns. Based these insights, recommends best practices to ensure responsible effective use of tools education.

Язык: Английский

The role of STEM teachers' emotional intelligence and psychological well-being in predicting their artificial intelligence literacy DOI

Ли Фу

Acta Psychologica, Год журнала: 2025, Номер 253, С. 104708 - 104708

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

0

Generative AI in Higher Education: Teachers’ and Students’ Perspectives on Support, Replacement, and Digital Literacy DOI Creative Commons
Samia Haroud,

Nadia Saqri

Education Sciences, Год журнала: 2025, Номер 15(4), С. 396 - 396

Опубликована: Март 21, 2025

Artificial intelligence (AI) is increasingly shaping diverse sectors, including education, sparking debates about its potential to transform pedagogical practices and redefine the role of educators. This study explores perceptions applications generative AI in Moroccan higher education better understand implications for teaching learning. A mixed-methods approach was adopted, combining quantitative data from 130 teachers 156 students with qualitative insights. Quantitative findings reveal significant differences: demonstrate greater openness adopting AI, appreciating capacity provide instant feedback, enhance creativity, improve academic performance. In contrast, express reservations, particularly regarding AI’s undermine critical soft skills such as collaboration, problem-solving, thinking. Qualitative analyses confirm these trends, highlighting that, while perceived a valuable complementary tool, it cannot replace essential human educators providing personalized guidance addressing students’ emotional cognitive needs. Both groups agree on necessity enhanced digital literacy ensure ethical effective integration. These underscore opportunities learning efficiency, limitations like concerns over-reliance, offering actionable insights policymakers, educators, technologists aiming integrate responsibly education.

Язык: Английский

Процитировано

0

Editorial DOI Open Access
Akhil Maheshwari,

Mario Motta,

Kei Lui

и другие.

Newborn, Год журнала: 2025, Номер 4(1), С. iv - x

Опубликована: Март 25, 2025

Процитировано

0

Factors Influencing AI-Assisted Thesis Writing in University: A Pull-Push-Mooring Theory Narrative Inquiry Study DOI Creative Commons
Ranta Butarbutar,

Rubén González Vallejo

Data & Metadata, Год журнала: 2025, Номер 4, С. 203 - 203

Опубликована: Фев. 10, 2025

This study aims to examine the factors that motivate, attract, and anchor students adopt AI tools during writing process in context of push-pull-mooring (PPM) theory. Utilizing a narrative inquiry research approach, this employed observation, in-depth interviews, document analysis for data collection. The identified key through reflexive thematic methods. Key pull include generation credit authorship contributions integration into academic writing. encompass topic selection, dynamic literature review, questions, proposal conceptualization, designing methods, analysis, revising drafts, managing references. incorporates active learning, self-regulated learning (SRL), inquiry-based overcoming linguistic challenges. push reference inaccuracies, confidentiality research, overreliance on AI. Three anchoring principles guide ethical incorporation thesis writing: institutional policies, augmentation, comprehensive contextual approach. But study's limitations small sample size ten from single university, which affects generalizability results.

Язык: Английский

Процитировано

0

Redefining Pedagogy with Artificial Intelligence: How Nursing Students are Shaping the Future of Learning DOI Creative Commons
Animesh Ghimire, Yunjing Qiu

Nurse Education in Practice, Год журнала: 2025, Номер 84, С. 104330 - 104330

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Exploring the factors influencing the adoption of artificial intelligence technology by university teachers: the mediating role of confidence and AI readiness DOI Creative Commons
Nannan Liu

BMC Psychology, Год журнала: 2025, Номер 13(1)

Опубликована: Март 27, 2025

This study aims to explore the mediating role of confidence and artificial intelligence (AI) readiness in university teachers' behavioral intention adopt AI technology, providing empirical support for enhancing willingness use technology from both theoretical practical perspectives. used a random sampling method conduct an online survey 504 teachers, assessing impact subjective norms on intention. The included scales norms, confidence, readiness, Data analysis was performed using AMOS 26, SPSS Statistics 27 software Model 6 PROCESS 4.0 plugin, aiming investigate between Subjective were found have significant positive correlation with indirectly influenced through or readiness. Confidence played chain-mediating relationship (β = 0.0324, 95% CI: [0.0129, 0.0551]), accounting 12.87% total effect. reveals indicating that not only directly enhance but also exert indirect effects single chain mediation findings highlight critical intention, suggesting effectively increase it is important focus improving their thereby strengthening norms.

Язык: Английский

Процитировано

0

A cross-country analysis of self-determination and continuance use intention of AI tools in business education: Does instructor support matter? DOI Creative Commons
Egena Ode, Rabake Nana,

Irene O. Boro

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100402 - 100402

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines DOI Creative Commons

John Manuel C. Buniel,

Juancho Intano,

Odinah Cuartero

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Апрель 16, 2025

STEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, addressing challenges by means of several mechanisms including research. Consequently, curricula higher education institutions prepare undergraduate students taking these fields to engage produce quality research outputs preparation for their future careers or roles. The advent educational resources help perform research-related tasks artificial intelligence. Although AI use is viewed as inappropriate doing scholarly works due concerns about academic integrity the fear losing essential cognitive skills, growing dependence among inevitable. In this regard, present study seeks empirically investigate influence toward students’ productivity, mediating disposition, self-efficacy. Through literature review, a structural model was proposed validated. Initially, instrument developed reflective constructs where items were also generated using review. Eventually, an online survey conducted recorded 834 valid responses from students. Results revealed that seven hypotheses model, six are supported except causal path between productivity. paths dispositions, self-efficacy well three This indicates mediation linking findings imply strategic integration may foster not only skills development but motivation confidence, which together could enhance overall productivity fields.

Язык: Английский

Процитировано

0

Redefining student assessment in Nigerian tertiary institutions: The impact of AI technologies on academic performance and developing countermeasures DOI Creative Commons
Usman Abubakar, Ayotunde Atanda Falade,

Hussaini Aliyu Ibrahim

и другие.

Advances in Mobile Learning Educational Research, Год журнала: 2024, Номер 4(2), С. 1149 - 1159

Опубликована: Ноя. 6, 2024

Integrating artificial AI technologies in education has revolutionised teaching, learning, and assessment worldwide. In Nigerian tertiary institutions, students increasingly rely on tools for assignments, research, exam preparation, raising concerns about the integrity of traditional methods. This paper explores impact academic performance challenges they pose to accurately evaluating student capabilities. It argues urgent need redefine strategies higher preserve standards while harnessing benefits AI. The study highlights ethical such as data privacy, access inequality, over-reliance tools, which can undermine critical thinking skills. provides countermeasures policy recommendations, including establishing usage guidelines, promoting equitable technology, integrating assessments that prioritise problem-solving By adopting these innovative policies, institutions enhance quality ensure develop genuine skills excellence. calls immediate action align with realities age, ensuring sustainable authentic outcomes.

Язык: Английский

Процитировано

2

Artificial Intelligence and Job Automation: Challenges for Secondary Students’ Career Development and Life Planning DOI Creative Commons
Lawrence P. W. Wong

Merits, Год журнала: 2024, Номер 4(4), С. 370 - 399

Опубликована: Ноя. 7, 2024

Artificial intelligence (AI) technologies with human-level cognitive abilities are increasingly integrated into workplaces, posing risks of job displacement and redundancy. Understanding AI’s impact on automation is thus essential, as it helps students understand which occupational roles likely to be automated. However, there a lack coherent understanding this topic due the diverse research methodologies deployed, leading formation fragmented inconsistent insights. This article reviews career literature global reports from expert sources (e.g., World Economic Forum) provide an overview influence sectors skills need thrive in technologically disrupted workplace. The findings emphasize importance developing human-centric skills.

Язык: Английский

Процитировано

0