Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…

Predictive models on students' academic performance can be built by using historical data for modelling students' learning behaviour. Such models can be employed in educational settings to determine how new students will perform and in predicting whether these students should be classed as at-risk of failing a course. Stakeholders can use…

The purpose of this study is to review journal papers on educational big data research published from 2010 to 2018. A total of 143 papers were selected. The papers were characterized based on three dimensions: (a) educational goals; (b) educational problems addressed; and (c) big data analytical techniques used. A qualitative content analysis…

This scoping review examines studies using eye tracking technology to monitor learning and performance in virtual or mixed reality settings. The aim of this review is to describe the various ways in which eye tracking devices have been deployed in relation to key aspects of virtual reality and mixed reality environments, list the eye tracking…

This research reviewed the publications in the Scopus database in the museum-based mobile learning field based on the technology-based learning review model from 2008 to 2019. The aim of this study was to investigate trends in the field of museum-based mobile learning from the main journals and papers, including countries and areas, participants,…

The use of touchscreen mobile devices in early childhood education has gained considerable attention. Several studies have been conducted to investigate the impacts of touchscreen mobile devices on children's cognitive and affective development. Researchers have further indicated the need to probe in which contexts children can learn effectively…

Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…

Learning Analytics (LA) and adaptive learning are inextricably linked since they both foster technology-supported learner-centred education. This study identifies developments focusing on their interplay and emphasises insufficiently investigated directions which display a higher innovation potential. Twenty-one peer-reviewed studies are…

This rapid systematic review examined the reported effects of large-scale online education on the behaviour and, ultimately, practice of health and social care professionals. Electronic databases of health and education literature were searched, 193 unique records were screened against inclusion and exclusion criteria, 31 papers were accessed for…

Presents a conceptual framework and notation for learner modelling in intelligent tutoring systems based on the computational distinction between behavior, behavioral knowledge, and conceptual knowledge and between the system, the learner, and the system's representation of the learner. Approaches to learner modelling based on a review of the…

Describes the Instructional Software Design Project conducted in a LOGO-based learning environment in a Boston inner-city public school with fourth graders engaged in the design and production of educational software to teach fractions. Constructionist views of computers in education are discussed, and learning processes are examined. (Contains 58…