In the ever-evolving era of technological advancements, generative artificial intelligence (GAI) emerges as a transformative force, revolutionizing education. This review paper, guided by the PRISMA framework, presents a comprehensive analysis of GAI in education, synthesizing key insights from a selection of 207 research papers to identify research gaps and future directions in the field. This study begins with a content analysis that explores GAI’s transformative impact in specific educational domains, including medical education and engineering education. The versatile applications of GAI encompass assessment, personalized learning support, and intelligent tutoring systems. Ethical considerations, interdisciplinary collaboration, and responsible technology use are highlighted, emphasizing the need for transparent GAI models and addressing biases. Subsequently, a bibliometric analysis of GAI in education is conducted, examining prominent AI tools, research focus, geographic distribution, and interdisciplinary collaboration. ChatGPT emerges as a dominant GAI tool, and the analysis reveals significant and exponential growth in GAI research in 2023. Moreover, this paper identifies promising future research directions, such as GAI-enhanced curriculum design and longitudinal studies tracking its long-term impact on learning outcomes. These findings provide a comprehensive understanding of GAI’s potential in reshaping education and offer valuable insights to researchers, educators, and policymakers interested in the intersection of GAI and education.

The drastically increasing significance of sustainability development has motivated higher education institutions (HEIs) to make efforts to achieve sustainability development goals (SDGs). This has led to the inevitable need to track and assess these efforts. This review is centered on the meticulous collection and analysis of pertinent papers within the context of HEIs, subsequently organizing and consolidating them into distinct sustainability domains by utilizing the PRISMA methodology. A collection of 83 pre-existing articles and publications retrieved from the Scopus database is employed for an in-depth exploration of the current research. This study employs both bibliometric and content analyses to explore distribution and citation dynamics and identifies six primary thematic concentrations within the field. The key findings highlight a significant increase in the importance of sustainability, emphasizing the critical need for HEIs to integrate SDGs across all departments. Additionally, the development of cross-institutional evaluation tools tailored to various sustainability aspects is underscored. These tools elucidate key competencies and broaden the application of educational sustainability in both research and curriculum development. The study also identifies a need for future research to explore how effectively these assessment methodologies drive tangible sustainability outcomes within HEIs. It suggests that developing more nuanced and adaptable evaluation tools could better meet the diverse needs of institutions globally. Additionally, the findings support HEIs’ and stakeholders’ decision making by identifying potential challenges in the implementation and assessment of sustainability.

In recent years, the use of game-based learning platforms has gained significant attention in educational settings for their potential to enhance student engagement and learning outcomes. This paper examines the effectiveness of Kahoot!, a game-based student response system, in an online French as a foreign language course. The study aims to assess how students perceive Kahoot! across three academic terms. A mixed-methods approach was used, combining quantitative data from structured questionnaires with qualitative insights from open-ended questions. This provided a comprehensive view of student perceptions and experiences with Kahoot!. The findings show consistently high student enthusiasm and engagement with Kahoot! across the three terms. Most students strongly agreed that Kahoot! positively impacted their learning, with high mean scores and low standard deviations reflecting widespread consensus. However, some students showed variations in competitive motivation, and minor technical challenges were noted. Overall, the study underscores Kahoot!’s sustained effectiveness in improving student engagement and learning in online French courses. Despite variations in motivation and some technical issues, the tool was largely seen as beneficial. This research adds to the growing evidence of the value of game-based learning tools in online education, particularly for foreign language instruction.

The construction industry plays a key role in economic development but continues to face challenges in promoting employee well-being, particularly mental health and social sustainability. While existing decision-making tools emphasize environmental and economic factors, the social dimension remains largely overlooked, creating a significant gap in both research and practice. To address this, the study develops a decision support tool (DST) to help construction organizations prioritize strategic investments that enhance employee social sustainability. The tool is based on a hybrid multi-criteria decision-making framework, combining the Analytical Hierarchy Process (AHP) with Fuzzy MOORA to integrate both quantitative and qualitative assessments. A literature review, along with findings from a previous empirical study, identified 27 validated criteria, grouped into seven core sustainability alternatives. Additionally, five decision criteria (cost, risk, compatibility, return on investment, and difficulty) were refined through expert interviews. The DST was implemented as a modular Excel-based tool allowing users to input data, conduct pairwise comparisons, evaluate alternatives using linguistic scales, and generate a final ranking through defuzzification. A case study in a private construction company showed Training and Development and Work Environment as top priorities. An online expert focus group confirmed the DST’s clarity, usability, and strategic relevance. By addressing the often-neglected social pillar of sustainability, this tool offers a practical and transparent framework to support decision-making, ultimately enhancing employee well-being and organizational performance in the construction sector.

Ce travail associe l’analyse de productions narratives d’enfants de cinq à dix ans, en français par des monolingues (Sénémaud, 1997, 1998, thèse en cours ; Choi & Sénémaud 2000), en arabe tunisien et en français par des enfants tunisiens vivant en Tunisie (Anane, 2001, thèse en cours) et par des enfants issus de l’immigration en France (Allal, 2000, thèse en cours), pour y examiner l’utilisation des connecteurs en tant qu’indice de l’acquisition dans ces différentes situations (langue premièr...

Ride-sourcing can expand flexible access within urban transport systems, with its contribution to sustainable mobility shaped by the modes, trip purposes, and mobility conditions it serves. Existing research often examines service selection and post-use evaluation separately, leaving limited evidence on how these stages differ in mature, regulated markets with broad mobility choice. This study examines this distinction in the United Arab Emirates using an exploratory, sequential mixed-methods design. Fifteen semi-structured interviews supported contextual and construct refinement, followed by an online survey of 191 adults, including 143 prior ride-sourcing users. Descriptive analyses examined service-selection patterns, while a 28-indicator, nine-path exploratory covariance-structure model was estimated for 136 complete prior-user cases using maximum-likelihood estimation in SAS PROC CALIS. Cronbach’s α ranged from 0.799 to 0.961. Overall satisfaction was most strongly associated with perceived post-ride support (β = 0.58507), followed by driver behavior (β = 0.29470), application ease (β = 0.28788), and perceived safety (β = 0.15609). Cost and fare reliability and time-related service reliability showed no significant direct associations with satisfaction. A 5000-resample nonparametric bootstrap reproduced the same hypothesis-support pattern. The findings distinguish the contextual conditions associated with ride-sourcing selection from the service-experience perceptions associated with post-use evaluation. They highlight user-facing capabilities that can support dependable multimodal participation, service quality, and mobility governance within sustainable urban transport systems.