Correction: Self-reference promotes vocabulary learning in a foreign language. [PDF]
Pruss S, Karni A, Prior A.
europepmc +1 more source
Vocabulary Learning During Reading: Benefits of Contextual Inferences Versus Retrieval Opportunities. [PDF]
van den Broek GSE +4 more
europepmc +1 more source
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh +4 more
wiley +1 more source
Gamified behavioral engagement as an indirect association linking ideal L2 self and vocabulary achievement in mobile-assisted EFL vocabulary learning. [PDF]
Pan J, Liang J, Hu Y.
europepmc +1 more source
Mobile-assisted vocabulary learning through the Shanbay App outside the classroom: Effects of self-regulation and peer scaffolding. [PDF]
Guo F, Zhang Y, Wu Z.
europepmc +1 more source
Abstract Cross‐disciplinary research is a priority for many academic institutions, with a growing body of scholarship dedicated to studying the central practice of cross‐disciplinarity: integration, or the synthesis of knowledge, information, and data across disciplines and domains.
Ciara Zogheib
wiley +1 more source
Multimodal input for vocabulary learning: Chinese EFL learners' perceived effectiveness across input combinations, word types, and proficiency levels. [PDF]
Liu J, Wang H.
europepmc +1 more source
Integrating Automatic Speech Recognition Technology Into Vocabulary Learning in a Flipped English Class for Chinese College Students. [PDF]
Jiang MY +6 more
europepmc +1 more source
We ought to discuss the social construction of cadavers: Here's why and how
Anatomical Sciences Education, EarlyView.
Fatima Ehsan, Susan Lamb
wiley +1 more source
Incremental refinement of relevance rankings: Balancing relevance depth and scope
Abstract Delivering both relevant and topically diverse results is a key challenge in information retrieval (IR). This study introduces a hybrid method that incrementally refines rankings by combining probabilistic topic modeling (latent dirichlet allocation [LDA]) with citation‐based pennant retrieval grounded in Relevance Theory (RT), optimizing for ...
Müge Akbulut, Yaşar Tonta
wiley +1 more source

