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This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research sample groups, adopted technology, language skills, the role of AI in language education, and learning outcomes, were taken into account. The review results show that the main application domains of AILEd research were writing, reading, and vocabulary acquisition. In terms of applied technology and algorithms, AI in language education mostly adopted ITS (Intelligent Tutoring System) and NLP (Natural Language Processing). Besides, several commonly used AI algorithms were Statistical Learning, Data Mining, Machine Learning, and Natural Language Parsing. It was also found that some research focused on learning anxiety, willingness to communicate, knowledge acquisition, and classroom interaction. However, higher order thinking, complex problem solving, critical thinking ability, and collaborative learning tendencies were rarely considered in AILEd studies. Accordingly, several suggestions are provided to researchers, teachers, and decision makers for applying or studying AI applications in language education in the future. [ABSTRACT FROM AUTHOR]

Self-directed learning (SDL) ability, its usefulness in higher education and life-long learning have been highlighted in previous literature. However, there has been much less understanding of the effects of SDL ability in the school settings, specifically the effects on learners' SDL behaviors and processes. To address this limitation, this study investigated the relations between SDL ability, SDL behaviors, and reading outcomes and further explored the process of planning behaviors in SDL. This study examined the context of SDL for extensive reading using a goal-oriented active learning system, GOAL. The results showed that the high SDL ability students demonstrated significantly more reading outcomes in terms of books completed and the number of days read than those with low SDL ability. The high SDL ability students engaged significantly more in planning behaviors, that were found to be significantly correlated with reading outcomes, than the low SDL ability students. Cluster analysis and transition analysis also differentiate groups of learners with different planning behaviors. These findings suggested that the learning behaviors and outcomes facilitated by the environment were affected to varying degrees by the levels of students' SDL ability, and personalized feedback can be created using the SDL behavioral variables and patterns in the environment. [ABSTRACT FROM AUTHOR]

This study aims to identify the bibliometric outcomes of articles and research trends in specific areas. This study revealed research on the use of e-books for EFL education published in selected journals of the Web of Science from 2011 to 2020, and discusses the trends of the top-cited countries, journals, the most used keywords, and the popular subjects, learning strategies, target skills, and the research outcomes. A total of 53 selected articles were manually and systematically analyzed. The results revealed that the most productive country was Taiwan, and the most cited journal was Computers & Education. The most used keywords were "engagement." The bibliometric analysis can be reflected in the content analysis as preschoolers and elementary school students were the most common participants, guided learning were the most frequently used strategy, and the main target skill was reading. This review study provides an overview of the research agenda for the last 10 years, and highlights the trends in the field by analyzing relevant past research. When the use of e-books in EFL education studies was examined, reading comprehension, teaching/learning strategies, and learning engagement were found to be crucial in the studies. Therefore, there is a need to develop more useful features of e-books to support EFL teaching practices. It is therefore suggested that future research focus more on pedagogical aspects and e-book feature development. [ABSTRACT FROM AUTHOR]

English speaking is a challenging learning objective for EFL (English as Foreign Language) learners owing to the lack of practicing environments. In this study, Interactive Spherical Video-based Virtual Reality (ISVVR) was adopted as the learning mode to provide realistic sociocultural contexts for English speaking. In addition, an experiment was conducted to investigate the effects of the SVVR approach on the English speaking performances and anxiety of the EFL students with different cognitive styles. A pretest-posttest quasi-experimental design was conducted to investigate the effects of the interaction between cognitive style and multimedia learning mode on students' learning motivation, speaking anxiety, oral presentation, and move analysis. The student sample consisted of two classes of 93 students. All of the students took the Group Embedded Figures Test (GEFT) to identify whether their cognitive style was field dependent or independent. The results showed a significant effect for the interaction between the cognitive styles and the learning modes on the students' oral presentation and speaking anxiety. Their structural moves in oral presentations with the ISVVR learning mode showed more similar spoken genre patterns to those of TED speakers. Findings further support the benefit of incorporating cognitive styles into the ISVVR learning mode for EFL learners. [ABSTRACT FROM AUTHOR]