Children's ability to recognize emotional expressions from faces and bodies develops during childhood. However, the low-level features that support accurate body emotion recognition during development have not been well characterized. This is in marked contrast to facial emotion recognition, which is known to depend upon specific spatial frequency…

Infants are curious learners who drive their own cognitive development by imposing structure on their learning environment as they explore. Understanding the mechanisms by which infants structure their own learning is therefore critical to our understanding of development. Here we propose an explicit mechanism for intrinsically motivated…

Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…

The article presents a research study that examined the ways in which digital curation promotes personalized learning, as well as the students' experiences of this learning process. The study was conducted in the context of K-12 education. Participants spent three months on a project that included curating a personalized digital collection. The…

Language maps signals onto meanings through the use of two distinct types of structure. First, the space of meanings is discretized into categories that are shared by all users of the language. Second, the signals employed by the language are compositional: The meaning of the whole is a function of its parts and the way in which those parts are…

Poor comprehenders (PCs) are characterized by poor reading comprehension despite intact decoding and general cognitive ability. Poor word meaning knowledge is one of the earliest deficits associated with a PC profile. We examined processes underpinning word learning in PCs using a category learning paradigm. Adolescent participants (20 typically…

This article aims to clarify the concept of context. Our motivation is the lack of consensus on what context is, despite common accept of the claim that learning is context-dependent to some degree, and despite a widespread interest in researching learning in specific contexts such as museums, classrooms, or workplace settings. We provide a…

In this chapter, we analyse the co-construction of meaning by university students in romance language (RL) chat rooms, in an online platform focused on multilingual language practice and learning. This communicative situation can best be described through the concept of 'intercomprehension', i.e. a multilingual and multisemiotic communicative…

Loanwords in Japanese that share form and meaning with English words are referred to as "Japanese-English cognates" (e.g., [Japanese symbol omitted] "radio") and are of fundamental concern for researchers concerned with vocabulary learning and instruction. This concern is reflected in the growing body of research into…

This study argues that in developing a robust framework for students in a blended learning environment, Structural Alignment (SA) becomes the third principle of specialisation in addition to Epistemic Relation (ER) and Social Relation (SR). We provide an extended code: (ER+/-, SR+/-, SA+/-) that present strong classification and framing to the…

Analyzing students' growth remains an important topic in educational research. Most recently, Diagnostic Classification Models (DCMs) have been used to track skill acquisition in a longitudinal fashion, with the purpose to provide an estimate of students' learning trajectories in terms of the change of fine-grained skills overtime. Response time…

In the increasing pervasiveness of today's digital society, mobile devices are changing the face of education. Students can interact with mobile devices in context-aware environment. This paper presents a mobile application based on expert system (Plant-E) for students to acquire knowledge about plant classification by answering decision-making…

The video-game industry has become a significant force in the business and entertainment world. Video games have become so widespread and pervasive that they are now considered a part of the mass media, a common method of storytelling and representation. Despite the massive popularity of video games, their increasing variety, and the…

In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…

Centers for Teaching and Learning (CTLs) are important change agents on campus with strategies that are unique and impactful--but sometimes unarticulated or misaligned. In this wide-ranging book, Mary C. Wright maps the landscape of 1,200+ CTLs in the United States through a unique approach: by conducting complex web searches to identify and…