Diagnostic classification models (DCMs, also known as cognitive diagnosis models) hold the promise of providing detailed classroom information about the skills a student has or has not mastered. Specifically, DCMs are special cases of constrained latent class models where classes are defined based on mastery/nonmastery of a set of attributes (or…

We apply the "wisdom of the crowd" idea to human category learning, using a simple approach that combines people's categorization decisions by taking the majority decision. We first show that the aggregated crowd category learning behavior found by this method performs well, learning categories more quickly than most or all individuals…

Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…

A theoretical model describing young students' (Grades 1-3) functional-thinking modes was formulated and validated empirically (n = 345), hypothesizing that young students' functional-thinking modes consist of recursive patterning, covariational thinking, correspondence-particular, and correspondence-general factors. Data analysis suggested that…

The article presents research into the concept of "personality" in the categorical grid of the consciousness of primary and secondary school teachers. The data obtained demonstrate the presence of an orientation in the teachers' minds and activities towards the implementation of personality-oriented, humanistic models of learning. At the…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

The significance of the research is determined by its scientific and practical significance. The modern global transformation of the world, in particular, automation, greening, the growing complexity of global risks and challenges, a network-centric society, a digital environment and many other aspects have led to the fact that the society in…

This commentary discusses the recent keynote article by Westergaard (2021), which is an interesting contribution to the field of language acquisition and multilingualism, especially because it attempts to provide a wider perspective by embracing first, second and third language acquisition. I address major claims put forward by Westergaard, to…

Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…

The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…

This review is aimed at exploring the association between the two aspects of Hofstede's model i.e. cultural dimensions with language learning behaviours and learning styles under different cultural contexts and learning environments. Although there are many models of cultural dimensions, Hofstede's model has been selected for this study because of…

Educational societies encountered rapid development in all fields of knowledge, assisted by the invention of new technologies and development of linguistic systems. Over time, researchers contribute to design well known instructional models such as traditional-based and inquiry-based models. However, the previous literature investigations showed…

Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…

We apply the gravity model of international trade to country-level panel data on branch campus establishments and closures from 2007-2016. Accordingly, we arrive at the first elasticity estimates of the determinants of international trade in branch campuses, contributing to research in higher education and international trade in services. Our…

Since the 1950s in the USA and a bit later in Europe, researchers have started publishing results of systematic research on the learning of older adults. Some have also contributed to constructing theoretical definitions within this theme of research. The perception of older adults as potential learners is a widely shared paradigm. However, there…