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Saijun Zhang; Desiree Stepteau-Watson – Journal of Social Work Education, 2024
Social work education has increasingly integrated simulated learning, yet there is a scarcity of quantitative syntheses on its effects. This systematic review and meta-analysis examines the effectiveness of simulated learning in social work education based on outcomes from using either live standardized clients (SCs) or virtual clients (VCs). The…
Descriptors: Social Work, Professional Education, Simulation, Teaching Methods
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Kathleen Stürmer; Tim Fütterer; Stephanie Kron; Daniel Sommerhoff; Stefan Ufer – European Journal of Psychology of Education, 2024
To support professional competence development in teacher education, learning environments should allow learners to engage with professional tasks. It is crucial for knowledge and skill transfer in such learning environments to real-life context that preservice teachers perceive the task as authentic. However, due to a lack of prior knowledge,…
Descriptors: Preservice Teachers, Individual Characteristics, Teacher Competencies, Authentic Learning
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Kenta Asakura – Journal of Social Work Education, 2024
The use of simulation has become a staple in social work education in North America. Concerns have been raised, however, that this pedagogy, rooted in positivist views of professional competence, might be built on educators' monolithic and stereotypical understanding of minoritized clients. In this article, I take on a position that simulation…
Descriptors: Social Work, Caseworkers, Education, Simulation
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Orna Levin – Teachers and Teaching: Theory and Practice, 2024
Conducting conversations with students' parents is an important and constant part of teachers' professional practice. Teacher education programmes are responsible for preparing the foundations for teacher-parent cooperation; however, throughout the training, there are few opportunities for preservice teachers (PSTs) to practice interacting with…
Descriptors: Parent School Relationship, Preservice Teachers, Preservice Teacher Education, Simulation
Jun Kataoka – ProQuest LLC, 2024
This dissertation proposes novel Domain Adaptation (DA) methods in real-world industrial settings, where the availability of labeled data is limited and test data can significantly differ from training data. Particularly, our research addresses key challenges in DA, including the applicability of DA methods in industrial settings, strategies to…
Descriptors: Industry, Authentic Learning, Data, Training Methods
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Andreas Haraldsrud; Tor Ole B. Odden – Chemistry Education Research and Practice, 2024
Sensemaking is an important way of learning and engaging in science. Research has shown that sensemaking activities, such as questioning, hypothesizing, and model building, are pivotal in developing critical thinking and problem-solving skills in science education. This paper investigates the role of computational simulations in facilitating…
Descriptors: Comprehension, Science Education, Learner Engagement, Chemistry