Results 241 to 250 of about 61,567 (299)

Increasing Student Teachers' Preference of Scientific Evidence—Insights From a Utility Value Intervention

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Teacher education should equip student teachers with scientific evidence and scientific theories as a resource for future pedagogical action. In opposition to this, student teachers tend to perceive a rather low utility value of scientific evidence and scientific theories for pedagogical action.
Michael Rochnia   +4 more
wiley   +1 more source

ChatGPT in Educational Research: A Case Study of Graduate Students' Use and Ethical Perceptions

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The rise of generative AI, particularly ChatGPT, has transformed academic research, raising both opportunities and ethical concerns. This study examines how graduate students in the education field utilize ChatGPT and their ethical perceptions regarding its use.
Eunseon Lim, Hyunwoong Lee, Yeoran Choi
wiley   +1 more source

Analysis of Presurgical Language in Children with Posterior Fossa Tumours Relative to Postoperative Speech Outcomes: Findings from the European CMS Study. [PDF]

open access: yesCerebellum
Reinders A   +17 more
europepmc   +2 more sources

A movie in the operating theater: Guided story narration as a pragmatic language screening tool during awake craniotomy. [PDF]

open access: yesClin Neurophysiol Pract
Sampath N   +5 more
europepmc   +1 more source

Beyond the Classroom: Cognitive and Educational Insights Into Gameplay‐Based Second Language Learning

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT This pilot study investigated how the narrative‐rich Chinese AAA game Black Myth: Wukong supports advanced Mandarin learners. Using reflective journals, semi‐structured interviews, and exploratory electroencephalogram (EEG), we examined learners' cognitive, affective, and cultural experiences.
ShuPei Wang   +2 more
wiley   +1 more source

Machine Learning Methods to Predict the Length of Stay for Acute Stroke: A Scoping Review and Meta‐Analysis

open access: yesHealth Care Science, EarlyView.
Current machine learning models for predicting the length of stay for acute stroke lack clinical utility and reliability. This scoping review highlights areas for improvement to develop more robust, interpretable, generalizable, and clinically actionable models that optimize personalized clinical pathways and support precise decision‐making for stroke ...
Zhenran Xu   +4 more
wiley   +1 more source

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