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Xingsu Wu; Chunyang Xu – Education and Information Technologies, 2025
This study, anchored in the empirical domain of student learning experiences, employs the Chaoxing Fanya network teaching platform to delineate a comprehensive model of factors that influence student learning experiences within the framework of blended collaborative learning. Through a rigorous synthesis of extant literature and qualitative…
Descriptors: Learning Experience, Blended Learning, Cooperative Learning, College Students
Ya-Hui Lee; Yi-Fen Wang; Hsien-Ta Cha – Adult Learning, 2025
Lifelong learning is a key element that helps adults undergo and adapt to different career stages. This study analyzed job service specialists' lifelong learning experience of successfully matching the needs between job seekers and employers. The researchers adopted the qualitative research method and conducted semi-structured in-depth interviews…
Descriptors: Foreign Countries, Job Applicants, Employers, Specialists
Sarah Barradell; Amani Bell; Kate Thomson; Jessica Hughes – Higher Education Research and Development, 2025
Despite being recognised as complementary to formal learning, informal learning is not yet well understood. Using a qualitative synthesis approach, we systematically reviewed how students' informal learning interactions are represented in health professions education research. Thirty-five articles were identified. Our three-stage analysis…
Descriptors: Allied Health Occupations Education, Medical Education, Informal Education, Peer Relationship
Cristian Pliscoff; Pablo Sanabria-Pulido – Teaching Public Administration, 2025
How can Latin American students learn more effectively how different governments address similar public problems? This region shares similarities in terms of culture and history. However, Latin American students study only their public policies and public administration based on the notion that each administrative system has its own…
Descriptors: Foreign Countries, Public Administration Education, Undergraduate Students, Learning Experience
M. El-Sayed; J. El-Sayed; K. Burke; D. Apple – European Journal of Education, 2025
In any educational setting, stigmatisation and implicit biases can stifle growth and reduce the quality of the learning experience of students from low socio-economic status by creating invisible barriers to opportunity and achievement. Furthermore, due to the lack of monitoring and mentoring, these invisible barriers become harder to detect and…
Descriptors: Social Bias, Negative Attitudes, Educational Environment, Attitude Change
Samantha Leihsing; Ann Marie Ryan – Theory Into Practice, 2025
How can teachers engage students in participatory civic education in a state like Texas where education policy is interfering with the Rights of the Learner by refusing to allow educators to support students in becoming active participants in vital democratic processes? Texas Senate Bill 3, passed in 2021, prohibits teachers from directly…
Descriptors: Educational Legislation, Citizen Participation, Civics, Learner Engagement
Nihal Eres; Tugba Ecevit – Journal of Inquiry Based Activities, 2025
This study aimed to design, implement, and evaluate the feasibility of an activity titled "Space Adventure for Little Explorers", integrating the engineering and entrepreneurship design model within the STEM education framework into preschool education. The activity was structured in four stages: (1) Discovery with the Family, (2)…
Descriptors: Engineering Education, Entrepreneurship, Preschool Education, Learning Activities
Joel Weijia Lai; Wei Qiu; Maung Thway; Lei Zhang; Nurabidah Binti Jamil; Chit Lin Su; Samuel S. H. Ng; Fun Siong Lim – Journal of Learning Analytics, 2025
The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…
Descriptors: Artificial Intelligence, Computer Software, Learning Analytics, Introductory Courses