نتایج جستجو برای: individualized learning
تعداد نتایج: 614406 فیلتر نتایج به سال:
Supporting Student Learning in Computer Science Education via the Adaptive Learning Environment ALMA
This study presents the ALMA environment (Adaptive Learning Models from texts and Activities). ALMA supports the processes of learning and assessment via: (1) texts differing in local and global cohesion for students with low, medium, and high background knowledge; (2) activities corresponding to different levels of comprehension which prompt the student to practically implement different text-...
OBJECTIVE This study aimed to explore the value of individualized feedback on performance, flow and self-efficacy during simulated laparoscopy. Furthermore, we wished to explore attitudes towards feedback and simulator training among medical students. METHODS Sixteen medical students were included in the study and randomized to laparoscopic simulator training with or without feedback. A teach...
This article discusses the usage of Jadid methods in developing youth learning competence. The method is a teaching approach that emphasizes active and practical learning, individualized cultural relevance. highlights key features this how it can be applied practice to promote effective outcomes for young learners.
abstract background: hypertension is very common in patients with end-stage renal disease and accelerates cardiovascular morbidity and mortality. the most important factor in achieving normal blood pressure in these patients is reaching dry weight. sodium and extracellular fl uid balance play a vital role in this regard. considering the lack of consensus about the effi cacy of stepwise sodium p...
Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s preferences or on collaborative filtering. Learning-to-rank is particularly necessary for adaptive or personalizable tasks, including email prioritization, individualized recommendation systems, personalized news clipping services and ...
Acquiring novel speech categories is necessary in spoken language learning. The dual-learning systems (DLS) approach posits that two competitive systems underlie the category learning process: an explicit hypothesis-testing system, and an implicit procedural system. DLS assumes that the explicit system dominates early and control is passed to the implicit system when optimal. Evidence from our ...
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