Modern language learning applications have become 'smarter' and 'intelligent' by including Artificial Intelligence (AI) and Machine Learning (ML) technologies to collect different kinds of data. This data can be used for analysis on a microscopic and/or macroscopic level to provide granulation of knowledge. We analyzed 1,213 French language…

Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…

Background: Implementing English medium instruction (EMI) has become a proliferating measure in higher education to embrace globalization. Nevertheless, university students reported various challenges in taking EMI courses. Objectives: This study investigated the effect of the computer-mediated terminology pretraining on university students' EMI…

This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…

Mobile-assisted language learning has emerged as a valuable tool for L2 pronunciation learning as it offers ample opportunities for learners to perform authentic learning activities anytime and anywhere. However, the extent to which mobile devices may facilitate or enhance L2 pronunciation has yet to be systematically investigated. To address the…

Computer-assisted language learning (CALL) benefits from undeniable steps forward such as the use of authentic materials, real communicative contexts and the ubiquity of learning. However, to discriminate the quality of digital resources for autonomous language learning from a critical perspective is not an easy task due to its diversity. This…

This study is one of the first evaluations of independent (i.e., self-guided) practice in math in a developing country. We randomly assigned 4,461 students in grades 4-7 in "unaided" private schools across seven Indian cities who were using a computer-assisted learning software to: (a) a control group, in which they moved from one unit…

Computer-Assisted Pronunciation Teaching (CAPT) provides EFL teachers with more alternatives to help learners who have serious problems in learning pronunciation. CAPT also provides EFL learners with a private, stress-free environment where they can have access to an enormous amount of input and repetitive practice pronunciation at their own pace.…

Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…

Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…

Objectives: Two sets of intercultural learning resources incorporating Global Englishes learning content were developed for self-access use in the higher education context. The resources were investigated in terms of student learning experiences across two contexts in Japan: an English language major program and a nonlanguage major program. The…

The road to second language competence is a long and arduous one, and much of its effort involves learning to recognize and use vocabulary. Fortunately, anytime-anywhere learning with smart phones and smart apps offer a means to lessen the burden and make vocabulary learning more efficient. Accordingly, this study investigated 134 students across…

The present study was motivated by theoretical considerations in cognitive linguistics associated with the concept projection as well as by theories in cognitive science related to self-directed learning on computers, to apply them in developing Japanese learners' knowledge of the different degrees of sureness attached to CERTAIN, PROBABLE, and…

This study analyzes the impact of adding a review exercises module to an online tool used in a software engineering degree program. The objective of the module is to promote students' self-learning effort to improve their performance. We also intend to determine if this new feature has any effect on the amount of code copies detected in lab…

Community colleges are a large sector of postsecondary education. In 2016-2017, the United States had nearly 1,000 public 2-year postsecondary institutions (community colleges), serving almost nine million students, representing 39% of all undergraduates. The majority of entering community college students require developmental (or remedial) math.…