Vision and language are the primary modalities of our human perception and learning. Recent years have witnessed fast development of methods that connect vision and language. Current deep learning methods are data-hungry, thus pre-training on large-scale data helps warm up the model and shows better fine-tuning results on downstream tasks.…

The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…

Professional profiles are unstructured documents where the knowledge and experience of the editor predominate, presenting inconsistencies and ambiguities in terms of the competencies they contain, making complicated the recognition of knowledge and skills necessary for the proposal of university study programs. Also, the identification of…

For this systematic review, learning from multiple texts served as the specific context for investigating the constructs of higher-order (HOT), critical (CT), and critical-analytic (CAT) thinking. Examining the manifestations of HOT, CT, and CAT within the specific context of learning from multiple texts allowed us to clarify and disentangle these…

Traditional reviews of arts education have focused on why the arts are valuable for learning, but the arts' contributions to cross-disciplinary discourse remain undertheorized. In this article, we provide a theoretical review of the arts and learning to suggest a new way of thinking about how the arts contribute to learning across disciplines…

Examining how people learn in various learning environments is at the core of the science of learning. The more we understand how students learn from different dimensions and aspects, the better equipped we are to support their learning. This study aims to expand our understanding of how learning occurs within the context of an asynchronous online…

Research suggests that explanatory pictures support learning, whereas pictures that distract processing resources from the main ideas of a text may impair learning and are considered as seductive illustrations. However, non-explanatory pictures that are related to the text and that do not tempt readers to focus illustrations more than the text's…

Through a meta-analysis, this study examines how effective particulate nature of matter (PNM)-based intervention studies are at improving academic performance. Well-known databases (e.g., ERIC, Springer Link, Taylor & Francis, and ScienceDirect) were used to look for the PNM-based intervention studies via specific keyword patterns. Also, a…

This study aimed to determine the effect of explain-analysis-doing discussion or known as ex-add learning techniques on critical thinking skills and pedagogic competence of Islamic religious education students at State Islamic University (UIN) Sulthan Thaha Saifuddin Jambi and at UIN Raden Fatah Palembang, Indonesia. The approach used quantitative…

Epistemic engagement among higher education learners often involves cognitive appraisal operations which generate emotional processes. This study aims to develop and validate a multidimensional "Emotional Presence Scale" (EPS) to measure learners' experience of emotion due to cognitive appraisal in epistemic processes. Based on the…

The Students' Approaches to Learning (SAL) tradition comprehends an approach to learning as a combination of students' aims for learning and the processes used to achieve them. The tradition values a deep approach to learning; this is the case also in the context of university mathematics, where a deep approach is seen as a requirement for…

This study aimed to investigate the effect of part and whole practice on learning basketball lay-up shot skill in young and adolescent male students. Participants were randomly divided into four groups of part and whole practice, namely, part practice-young, whole practice-young, part practice-adolescent, and whole practice-adolescent. After a…

In reinforcement learning (RL) tasks, decision makers learn the values of actions in a context-dependent fashion. Although context dependence has many advantages, it can lead to suboptimal preferences when choice options are extrapolated beyond their original encoding contexts. Here, we tested whether we could manipulate context dependence in RL…

This article is written in response to listening to teachers query the place of fun in learning. Students often express that learning should be fun but teachers are often unsure what they mean by this and whether fun is actually important to learning. We have drawn some relevant understandings and views together to promote further conversation and…

An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…