Mentoring for motivation: supporting student teachers' basic psychological needs in Chinese public kindergarten internships. [PDF]
Yang Y, Chen Y.
europepmc +1 more source
Constructive toposes with countable sums as models of constructive set theory
Alex Simpson, Thomas Streicher
openalex +2 more sources
Reduced Susceptibility to the Dunning–Kruger Effect in Autistic Employees
ABSTRACT Evidence indicates that autistic individuals are less susceptible to social influence and cognitive biases than non‐autistic individuals. However, no studies have been conducted on the Dunning–Kruger effect (DKE) in autism. The DKE is a cognitive bias in which people with limited expertise in a specific domain overestimate their abilities. The
Lorne M. Hartman +2 more
wiley +1 more source
Is explaining more like showing or more like building?-Agency in metaphors of explaining. [PDF]
Porwol P, Scharlau I.
europepmc +1 more source
Prescribing competence: The pros and cons of different methods for assessment
Evaluating a medical graduate’s competence in rational prescribing is challenging. With the aim to guide and inspire teachers, this narrative review explores different methods that can be used to assess prescribing competence. Each method has its own advantages and disadvantages, and thus a mix of different assessment methods is needed throughout the ...
David J. Brinkman +3 more
wiley +1 more source
Changing Pre-Service Teachers' Beliefs About Self-Regulated Learning: The Role of Refutational Texts and Instructional Analogies. [PDF]
Skopeliti I +2 more
europepmc +1 more source
The axiom of multiple choice and models for constructive set theory
Benno van den Berg, Ieke Moerdijk
openalex +2 more sources
Preparing Superposition States to Modify the Spectra and to Achieve Complete Selectivity in Photodissociation Reactions. [PDF]
Sola IR, García-Vela A.
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

