Results 141 to 150 of about 5,072,926 (243)

Training the morphological mindset: An educational framework for teaching morphological reasoning in the laboratory

Anatomical Sciences Education, EarlyView.
The graphic summarizes the proposed shift from image recognition to morphological reasoning through an iterative process of observation, description, interpretation, integration, and questioning across anatomical, histological, and ultrastructural scales.
Katia Cortese
wiley   +1 more source

Clues and cortices: A pilot study of efficient, low‐cost neuroanatomy escape room design using generative AI

Anatomical Sciences Education, EarlyView.
Abstract Neuroanatomy is notoriously challenging due to its complexity and abstract spatial relationships, often evoking anxiety and frustration among learners. Educational escape rooms, a form of game‐based learning (GBL), can promote engagement and learning but typically require significant faculty time and resources to design.
Robert M. Becker, Sabrina C. Woods, Andrew S. Cale   +2 more
wiley   +1 more source

Learning beyond the lab: A gamified approach to anatomy education in a museum‐based experience

Anatomical Sciences Education, EarlyView.
Abstract Anatomy education, traditionally rooted in descriptive instruction and cadaveric dissection, is undergoing a significant transformation through the integration of educational technologies and contemporary pedagogical strategies. Among these, active learning methodologies, such as gamified‐based learning, have emerged as approaches designed to ...
Wendell Nunes da Silva, Diego Pulzatto Cury, Silvia Lacchini, Ana Paula Cremasco Takano   +3 more
wiley   +1 more source

Cotton Candy Feedback: How Feedback Systems Can Undermine the Clinical Growth They Intend to Support. [PDF]

Clin Teach
Ebeling U, Androni A.
europepmc   +1 more source

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Democratic dialogue and collective learning in the context of self-managed teams [PDF]

This paper provides a longitudinal, empirical view of the multifaceted and reciprocal processes of organizational learning in a context of self-managed teams.
Maija Vähämäki
core  

Iterative Refinement of a Sensory-Based Mindfulness Coaching Approach: An Exploratory Qualitative Action Research Study with Korean University Students. [PDF]

Behav Sci (Basel)
Hong MJ, Lee SY.
europepmc   +1 more source

Affective dimensions in the information behavior of forcibly displaced people: A literature review. An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This review analyzed 241 scholarly articles published between 2010 and 2025 in information science venues to examine how affect shapes refugees' information behavior during forced migration and to identify additional contextual factors. It identifies seven affective dimensions: anxiety, shame and stigma, grief and loss, frustration, (mis)trust,
Maja Krtalić, Lilach Alon
wiley   +1 more source

The implications of Paulo Freire's critical aesthetics for individual mental health. [PDF]

Front Psychol
Chen MK, Shih YH.
europepmc   +1 more source

Conceptualizing algorithmic inequality and future agenda. An annual review of information science and technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract The issue of inequality caused by algorithms, termed ‘algorithmic inequality’, has recently attracted scholarly attention in many disciplines due to its profound implications for society. While the body of literature on algorithmic inequality has grown, there remains a lack of comprehensive understanding of its nature, drivers, and impact ...
Shiwei Jia, Jia Tina Du, Hui Yan
wiley   +1 more source