'early language learning' Search Results
Factors Contributing to Higher Education Students' Acceptance of Artificial Intelligence: A Systematic Review
ai acceptance artificial intelligence higher education systematic review...
The rapid integration of artificial intelligence (AI) technologies into the field of higher education is causing widespread public discourse. However, existing research is fragmented and lacks systematic synthesis, which limits understanding of how college and university students adopt artificial intelligence technologies. To address this gap, we conducted a systematic review following the guidelines of the PRISMA statement, including studies from ScienceDirect, Web of Science, Scopus, PsycARTICLES, SOC INDEX, and Embase databases. A total of 5594 articles were identified in the database search; 112 articles were included in the review. The criteria for inclusion in the review were: (i) publication date; (ii) language; (iii) participants; (iv) object of research. The results of the study showed: (a) The Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are most often used to explain the AI acceptance; (b) quantitative research methods prevail; (c) AI is mainly used by students to search and process information; (d) technological factors are the most significant factors of AI acceptance; (e) gender, specialty, and country of residence influence the AI acceptance. Finally, several problems and opportunities for future research are highlighted, including problems of psychological well-being, students’ personal and academic development, and the importance of financial, educational, and social support for students in the context of widespread artificial intelligence.
An Online Mixed Evaluation Model for Service-Learning Projects Developed in a Virtual Higher Education Environment
higher education innovation in higher education online mixed evaluation methods virtual service-learning sustainable development goals...
The evaluation of Service-Learning (S-L) projects in online environments has become increasingly relevant in educational research, at the same time as the importance of using mixed methods has risen. However, there are few studies focusing on the evaluation of virtual Service-Learning, as most studies concentrate on face-to-face Service-Learning projects. In this regard, the aim of the present research is to assess three Virtual Service-Learning (vS-L) projects using a blended (quantitative-qualitative) evaluation method, also conducted online. The evaluation was conducted by students from the National University for Distance Learning, who completed a questionnaire asynchronously and participated in synchronous focus groups within their respective groups. Data were arranged in a mixed panel (questionnaire items and focus group verbatim opinions). The questionnaires demonstrated that Service-Learning is an excellent methodology to broaden students’ skills, abilities, and competencies to better face the professional world. The focus group verbatim interventions showed that the construction of indicators improves learning. Overall, the assessment results revealed a high level of student satisfaction. The implementation of our mixed-methods approach is innovative because it is conducted entirely online and utilizes computer technology for processing the gathered information.
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Teachers’ Content Knowledge and Pedagogical Content Knowledge of Reading Instruction: A Systematic Review (2019-2024)
content knowledge pedagogical content knowledge reading instruction systematic review teacher knowledge...
Learning to read constitutes one of the most important cognitive abilities students acquire during their education, and teachers’ knowledge of reading instruction is considered significant to teaching quality and students’ achievement. This paper aims to systematically review the existing research on teacher knowledge of reading instruction over the past six years, following the PRISMA statement’s guidelines, to identify the current research trends, areas of research, and research gaps. Three main research areas are identified in the 22 reviewed articles, namely (a) Teacher knowledge (TK) exploration, (b) TK assessment, and (c) TK development. More specifically, research on TK exploration includes sub-themes such as examining TK, investigating the relationship between TK and practice and student achievement, and influencing factors of TK. TK assessment includes research on the development and validation of more comprehensive measurement tools to assess teachers’ content knowledge and pedagogical content knowledge of reading instruction. TK development involves the effectiveness of interventions on TK of reading instruction in teachers’ professional development programs. Future studies are recommended to use a more diverse range of methods, including both quantitative and qualitative approaches to study teachers’ knowledge in their classroom practice, and to focus on teachers’ active role as knowledge constructors. Studies in L2 reading contexts are also recommended.
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