Results 251 to 260 of about 954,961 (363)
Abstract Aims In the context of pharmacology and toxicology education, there is a growing shift toward programmatic assessment models that prioritize longitudinal learning, reflection and development of higher‐order cognitive skills. As part of this transition, we are exploring alternative and more meaningful forms of assessment. This qualitative study
Narin Akrawi +2 more
wiley +1 more source
Enhancing pragmatic competence in Kurdish EFL learners: The impact of a learner-centered approach. [PDF]
Salih ZQ, Kurt M.
europepmc +1 more source
Aims At Koç University School of Medicine, a one‐week rational pharmacotherapy (RPHM) programme, modelled after WHO 6‐step, has been introduced in the fourth‐year curriculum to improve prescription skills. For efficient problem‐based learning (PBL) sessions on a prespecified topic, students need to brush up on basic pharmacology knowledge, so we ...
Sinem Ezgi Gülmez +2 more
wiley +1 more source
An examination of pre-service teachers' public speaking attitudes with respect to sportive activity and demographic variables. [PDF]
Gonener U +3 more
europepmc +1 more source
Aim Problem‐based learning (PBL) is an established approach in medical, nursing, pharmacy and veterinary medicine education. This study describes the implementation and aims to evaluate the use of non‐linear slide decks as a method to deliver PBL as individualized student assessments within pharmacology education. This approach, originally developed in
Wendy R. Francis +2 more
wiley +1 more source
Robot speech: how variability matters for child-robot interactions. [PDF]
Hanulíková A, Tolksdorf NF, Kapp S.
europepmc +1 more source
Student perspectives on AI‐supported formative assessment in pharmacology
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg +6 more
wiley +1 more source

