A Systematic Review and Comprehensive Analysis of AI-Enabled Re-Skilling and Upskilling in Education: Transformative Strategies for the Future DOI

Abdallah Al Tawara,

Jamal El‐Den, Ergun Gide

и другие.

Опубликована: Ноя. 6, 2024

Язык: Английский

Artificial Intelligence Policies in Higher Education: A Randomized Field Experiment DOI
Rachel Leigh Greenspan

Journal of Criminal Justice Education, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Янв. 11, 2025

Generative artificial intelligence (genAI) tools like ChatGPT are becoming increasingly embedded in daily life. In the field of education particular, concerns have emerged about how these might positively or negatively impact student learning. current study, I conduct a randomized experiment exploring policies on genAI undergraduate students' beliefs, behaviors, and grades. Students enrolled two sections same upper-level research methods course were randomly assigned to section that either permitted prohibited tools. At end semester, students permitting had more positive view higher education. However, prohibiting final grade. These results highlight need for evidence-based guidelines minimize risks maximize benefits

Язык: Английский

Процитировано

0

Primary School Students' Perceptions of Artificial Intelligence: Metaphor and Drawing Analysis DOI Creative Commons
Jale Kalemkuş, Fatih Kalemkuş

European Journal of Education, Год журнала: 2025, Номер 60(1)

Опубликована: Янв. 27, 2025

ABSTRACT Due to the frequent use of artificial intelligence (AI) technologies in daily life, it is thought that primary school students acquire information about this concept from various sources. The way these sources present AI may affect students' perceptions AI. In study, was aimed examine third and fourth grade through metaphors drawings. This research, which conducted with participation 262 students, phenomenological design. When participants were analysed, determined they produced 100 metaphors, evaluated 17 categories as humanistic feature, source, danger, development, superhuman service, source happiness, productivity, orientation, commitment, pervasiveness, necessity, security, speed, difficulty, virtual environment uncertainty. Accordingly, many different perspectives most danger. It human, brain living prominent human characteristic category; teacher, wise book finally, enemy, weapon monster danger category. drawing findings 37 codes represented four categories: purpose, object, interaction environment. purpose category, information, happiness; object mostly humanoid robot; emphasising interaction; not specified. line obtained, literature discussions made suggestions made.

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

U.S. College Students’ Acceptability and Educational Benefits of ChatGPT from a Digital Divide Perspective (CAEAI-D-24-00352R2) DOI Creative Commons
Xinyi Zhang, Laurent H. Wang, Ronald E. Rice

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100385 - 100385

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Effects of generative artificial intelligence on cognitive effort and task performance: study protocol for a randomized controlled experiment among college students DOI Creative Commons
Youjie Chen, Yingying Wang, Torsten Wüstenberg

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Abstract Background: The advancement of generative artificial intelligence (AI) has shown great potential to enhance productivity in many cognitive tasks. However, concerns are raised that the use AI may undermine human cognition due over-reliance. Conversely, others argue holds promise augment by automating menial tasks and offering insights extends one’s abilities. To better understand role cognition, we study how college students a tool support their analytical writing. We will examine effect using on effort, major aspect reflects extent mental resource an individual allocates during process. also writing performance achieved through human-AI collaboration. Methods: This is randomized controlled lab experiment compares effects (intervention group) versus not it (control task designed as hypothetical class assignment for students. During experiment, eye-tracking technology monitor eye movements pupil dilation. Functional near-infrared spectroscopy (fNIRS) collect brain hemodynamic responses. A survey measure individuals’ perceptions attitudes AI. recruit 160 participants (aged 18-35 years) from German university where research be conducted. Discussion: trial aims establish causal performancethrough experiment. findings aim offer policymakers regulating inform responsible design tools. Trial registration: ClinicalTrials.gov NCT06511102. Registered July 15, 2024. https://clinicaltrials.gov/study/NCT06511102

Язык: Английский

Процитировано

0

Immersive Learning in Virtual Worlds: A Two-step Analysis SEM and NCA for Assessing the Impact of Metaverse Education on Knowledge Retention and Student Collaboration DOI
Fazeelat Aziz, Pearl Abredu, Asad Ullah Khan

и другие.

Technology in Society, Год журнала: 2025, Номер unknown, С. 102871 - 102871

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Generative Artificial Intelligence in Education: Insights from Rehabilitation Sciences Students DOI Creative Commons
Robert L. Dekerlegand, Alison Bell, Malachy Clancy

и другие.

Education Sciences, Год журнала: 2025, Номер 15(3), С. 380 - 380

Опубликована: Март 19, 2025

Little is known about how students in rehabilitation sciences accept and use generative artificial intelligence (GenAI) their educational endeavors. We explored student perceptions, acceptance, utilization of GenAI school beliefs its usefulness ease use. A cross-sectional online survey was conducted adult enrolled programs within a private urban academic university. The based on the Technology Acceptance Model with questions specific to school. total 196 responses were included analysis (32.9% response rate), received across all programs. Half respondents (50%) reported using “some time” school, 6.1% indicated frequent usage “most of” or “all” time. Users explain review concepts (n = 49), generate content ideas 20), for grammatical support 21). perceived as more useful easier than non-users. Over half school; however, only report routine usage. Given expected growth potential GenAI, faculty should explore strategies facilitate acceptance appropriate this innovative technology.

Язык: Английский

Процитировано

0

Examining the Effect of Artificial Intelligence in Relation to Students’ Academic Achievement in Classroom: A Meta-Analysis DOI Creative Commons
Liu Dong, Xiuxiu Tang,

Xiyu Wang

и другие.

Computers and Education Artificial Intelligence, Год журнала: 2025, Номер unknown, С. 100400 - 100400

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Personality correlates of academic use of generative artificial intelligence and its outcomes: does fairness matter? DOI
Sundas Azeem, Muhammad Abbas

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

Опубликована: Март 28, 2025

Язык: Английский

Процитировано

0

Transforming Education with AI: A Systematic Review of ChatGPT's Role in Learning, Academic Practices, and Institutional Adoption DOI Creative Commons
Sayeed Salih, Omayma Husain, Mosab Hamdan

и другие.

Results in Engineering, Год журнала: 2024, Номер unknown, С. 103837 - 103837

Опубликована: Дек. 1, 2024

Язык: Английский

Процитировано

1