CA-MuSiC: a Culture-Aware Multilingual Skill Cognition Model for MOOC review understanding. [PDF]
Du G, Ma B, Liu Y.
europepmc +1 more source
Expert‐validated criteria for evaluating 2D anatomical images: Results of a Delphi consensus study
Abstract Currently, there are no consensus standards for the selection of two‐dimensional (2D) anatomical images that form the basis of anatomy education. The absence of standardized evaluation criteria may contribute to variability in image quality and inconsistencies in the educational use of anatomical visuals, potentially affecting students ...
Ayşe Soylu +3 more
wiley +1 more source
Sentiment classification optimization based on improved Senti-BERT and BiLSTM-Attention. [PDF]
Zhang J, Liu J, Xu Z.
europepmc +1 more source
Framing anatomical variation in anatomy textbooks: Language use and its implications
Text mining of anatomy textbooks shows “abnormal” is the most frequently used descriptor for anatomical variation, reinforcing a binary framing. We advocate for explicit teaching of variation as a spectrum, with consistent, neutral terminology and contextualization (prevalence and functional relevance) to support a more nuanced understanding of ...
An‐Di Yim +2 more
wiley +1 more source
A Quantum-Inspired Residual Self-Attention Network for Multimodal Sentiment Analysis. [PDF]
Liu Y, Feng X, Zhong Y.
europepmc +1 more source
A survey on the teaching of introductory nervous system content in undergraduate courses
Abstract Teaching introductory or foundation level concepts about anatomy and physiology of the nervous system to undergraduate students presents a conundrum for educators—how to provide students with sufficient knowledge for a successful learning experience and outcome without overwhelming students and impacting student progression and retention.
Gabrielle Todd +2 more
wiley +1 more source
Investor sentiment and stock portfolio construction: A study based on the black-litterman model. [PDF]
Sun L, Fu B, Liu W.
europepmc +1 more source
Designing and evaluating a neuroanatomy learning experience using multiple external representations
Abstract Neuroanatomy is challenging, requiring multiple external representations (MER) for comprehension. While studies have examined individual representations of neuroanatomy, a gap remains in understanding how students link across MER, especially between technology‐generated representations with everyday experiences.
Valeria Vendries, Ji Shen
wiley +1 more source
A hybrid CNN-LSTM approach for large-scale Twitter sentiment analysis with explainable artificial intelligence. [PDF]
Kılıç Z, Aslan E, Ozupak Y.
europepmc +1 more source

