The Transformation of Bahrain’s Job Market: Embracing Artificial Intelligence for Future Employment Opportunities DOI

Ali Ateeq,

Nasser A. Saif Almuraqab

Contributions to finance and accounting, Год журнала: 2024, Номер unknown, С. 47 - 55

Опубликована: Янв. 1, 2024

Язык: Английский

Mapping Tomorrow’s Teaching and Learning Spaces: A Systematic Review on GenAI in Higher Education DOI Creative Commons
Tanja Tillmanns, Alfredo Salomão Filho,

Susmita Rudra

и другие.

Trends in Higher Education, Год журнала: 2025, Номер 4(1), С. 2 - 2

Опубликована: Янв. 8, 2025

This collective systematic literature review is part of an Erasmus+ project, “TaLAI: Teaching and Learning with AI in Higher Education”. The investigates the current state Generative Artificial Intelligence (GenAI) higher education, aiming to inform curriculum design further developments within digital education. Employing a descriptive, textual narrative synthesis approach, study analysed across four thematic areas: learning objectives, teaching activities, development, institutional support for ethical responsible GenAI use. 93 peer-reviewed articles from eight databases using keyword-based search strategy, collaborative coding process involving multiple researchers, vivo transparent documentation. findings provide overview recommendations integrating into learning, contributing development effective AI-enhanced environments reveals consensus on importance incorporating Common themes like mentorship, personalised creativity, emotional intelligence, higher-order thinking highlight persistent need align human-centred educational practices capabilities technologies.

Язык: Английский

Процитировано

1

Perceptions and Use of AI in Higher Education Students: Impact on Teaching, Learning, and Ethical Considerations DOI Open Access
Luis Medina Gual, José Luis Parejo

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

Опубликована: Фев. 27, 2025

ABSTRACT The present research explores AI's impact on education among Mexican undergraduate students through a non‐experimental, correlational, cross‐sectional study. A validated public questionnaire was distributed to 840 via Google Forms from February May 2024. Analysis revealed significant AI exposure and use patterns, primarily influenced by mass media personal connections. Psychometric evaluations showed strong internal consistency (Cronbach's alpha = 0.97), with PCA clustering identifying two student profiles: knowledgeable majority an optimistic minority lower formal knowledge. Significant correlations were found between familiarity perceived educational impact. These findings underscore the need for integrating training into curricula bridge gap enthusiasm practical knowledge, promoting ethical effective in higher education. This study informs policy practice aligning technologies goals.

Язык: Английский

Процитировано

0

Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China DOI Creative Commons
Yifu Li, Nilo Jayoma Castulo, Xiaoyuan Xu

и другие.

Frontiers in Education, Год журнала: 2025, Номер 10

Опубликована: Фев. 21, 2025

The rise of artificial intelligence (AI), particularly ChatGPT, has transformed educational landscapes globally. Moreover, the Beijing Consensus on Artificial Intelligence and Education ‘Pact for Future’ propose that AI can support UNESCO in achieving development goals, especially focusing SDG 4, which emphasizes quality education. Thus, this study investigates undergraduate students’ familiarity with attitudes toward tools, as well their perceived risks benefits using tools at a private university China. An explanatory sequential mixed-method design was employed an online survey 167 students, followed by qualitative analysis open-ended responses. Data were analyzed one-sample Wilcoxon signed-rank test thematic analysis, supported SPSS ATLAS.ti 25. findings revealed students demonstrated moderate ChatGPT willingness to use them coursework. Positive AI’s value education evident, although concerns such dependence reduced independent thinking, algorithmic bias ethical concerns, accuracy information quality, data security, privacy observed among students. generally viewed positively integration inevitable becoming common academic settings. Students concerned misuse teachers minimal trusted effectively teaching. also benefits, personalized learning, efficiency convenience, career skill development, learning. This contributes discourse higher highlighting nuanced perceptions balancing potential risks. limited small sample size institution. Future research should explore diverse contexts develop comprehensive implementation frameworks

Язык: Английский

Процитировано

0

Advancing Sustainability: Embracing the Circular Economy for Environmental and Economic Resilience DOI
Marwan Milhem,

Ali Ateeq,

Ahmad Al Astal

и другие.

Studies in systems, decision and control, Год журнала: 2024, Номер unknown, С. 57 - 68

Опубликована: Окт. 22, 2024

Язык: Английский

Процитировано

1

Enhancing ESG Implementation Through Effective Management Control Systems DOI

Ahmad Yahai Mustafa Al Astal,

Mohammed Alzoraiki,

Ali Ateeq

и другие.

Studies in systems, decision and control, Год журнала: 2024, Номер unknown, С. 647 - 656

Опубликована: Окт. 22, 2024

Язык: Английский

Процитировано

0

AI-Augmented Software Development: Boosting Efficiency and Quality DOI

Shreyas Pangavhane,

Gokul Raktate,

Prasad Pariane

и другие.

2022 International Conference on Decision Aid Sciences and Applications (DASA), Год журнала: 2024, Номер unknown, С. 1 - 5

Опубликована: Дек. 11, 2024

Язык: Английский

Процитировано

0

The Transformation of Bahrain’s Job Market: Embracing Artificial Intelligence for Future Employment Opportunities DOI

Ali Ateeq,

Nasser A. Saif Almuraqab

Contributions to finance and accounting, Год журнала: 2024, Номер unknown, С. 47 - 55

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

0