Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…

The online learning practice has already demonstrated that the quality of interaction and motivation in collaborative learning is not as good as expected, due to the loneliness and burnout feeling spawned by inadequate learning status information about others. This study proposed a model on group awareness to feedback information of group learning…

This study presents an ontology-based visualization support system for e-book learners which promotes both meaningful receptive learning and meaningful discovery learning. To examine the system effectiveness, two learning modes are used: (a) reception comparison mode, where at the outset learners are shown complete versions of expert-generated…

This research is designed to find out whether joining an online community combined with contract learning can enhance the learning motivation of students, promote their self-regulated learning, and improve their academic achievements. In this regard, quasi-experiment research was conducted at primary level students in which the experimental group…

Second language teaching approaches that were originally proposed for classroom context are used for blended learning context as well as distance learning contexts regardless of their fundamental differences in terms of applicability, accessibility, objectives, designs and theoretical bases. Such theoretical and practical incompatibilities served…

In-class group work activities are found to promote the interpersonal skills of learners. To support the teachers in facilitating such activities, we designed a learning analytics-enhanced technology framework, Group Learning Orchestration Based on Evidence (GLOBE) using data-driven approaches. In this study, we implemented the algorithmic group…

Computer-Supported Collaborative Learning is a promising innovation that ameliorates tutoring through modern technologies. However, the way of recommending collaborative activities to learners, by taking into account their learning needs and preferences, is an important issue of increasing interest. In this context, this paper presents a framework…

Nowadays, modern technologies provide a variety of opportunities in many fields, including education. In this context, it is crucial to comprehend the possibility of developing new ways of teaching electroacoustic music using such technology tools. For this purpose, the researchers of the present study elaborated and implemented a study program…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Fighter jets are a critical national asset. Because of the high cost of their manufacture and that of their related equipment, both pilots and maintenance personnel must complete intensive training before coming into contact with a jet. Due to gradual military downsizing, one-on-one training is often impracticable, and the level of familiarization…

This study focuses on university students' experience of peer tutoring supported by a mobile application called MENTOR (Mobile Education Networked Tutoring On Request) that was developed by the research team. The development of the mobile application was underpinned by theories related to self-directed learning, self-regulated learning, students'…

Despite seamless vocabulary learning studies having been implemented for about 10 years, little is known about what seamless vocabulary learning studies are, how they were conducted, what the learning outcomes were, or the issues and trends of seamless vocabulary learning. This literature review aimed at addressing these questions. Adopting…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

Student response systems (SRS) have been used to provide teachers with immediate feedback on learners' performance to understand their weaknesses and strengths. This exploratory study is aimed at focusing on both distractive and facilitative aspects of using SRS in English as a foreign language (EFL) classes to assess learners' understanding of…

In recent years, the emerging trend of mobile learning (hereinafter "m-learning") has obtained increasing attention from educators and higher popularity among students worldwide. Partly due to its short history, there seems to be a lack of comprehensive and in-depth understanding on the distinctiveness of m-learning. It is maintained in…