Research trends of blended language learning: A bibliometric synthesis of SSCI-indexed journal articles during 2000–2019

This study aims to synthesize research trends of blended language learning studies over the past two decades, from 2000 to 2019. Data were collected from the Web of Science, and a total of 60 SSCI-indexed journal articles were retrieved for bibliometric synthesis. Drawing on the revised technology-based learning model, participants, learning strategies, research methods, research foci, adopted technologies, and application effectiveness, advantages, and challenges were addressed. The findings demonstrated that publications were increasing rapidly, and that most articles were published in computer-assisted language learning, educational technology, and applied linguistic journals. The most common target language was English as a foreign language, and the most common learners were college students. In most studies, technologies were mainly used for the purposes of practice or exercises. Mixed, quantitative, and qualitative methods were frequently adopted, with a particular eye on the experiment design, questionnaires, and other specific methods in the second decade. Productive language skills, along with autonomy, satisfaction, and motivation, were major research foci. Language management systems and computer and web-based applications were frequently adopted technologies. Findings of application effectiveness, advantages, and challenges were summarized.

Integrating Machine Translation Into EFL Writing Instruction: Process, Product and Perception

Although there is a great demand for machine translation (MT) among language learners, its potentials as a computer-assisted language learning aid remain under-explored. Against this backdrop, this study adopted a mixed research method and conducted a semester-long empirical investigation into how EFL learners in mainland China used MT to assist their writing, whether MT helped improve their writing competence and how they perceived MT in EFL writing instruction. The major findings comprise: 1) By using MT students made more lexical and grammatical changes in essay revision; 2) MT helped improve the learners’ overall writing competence, and particularly had a greater effect on writing accuracy and lexical complexity than on other dimensions; 3) Students generally held a positive attitude towards incorporating MT into EFL writing instruction.

Coping With Online Practicum

This chapter examines the experience of eight pre-service teachers of Czech as a Second Language both in Spring 2020, when their teaching practicum classes abruptly turned online, and Fall 2020, when online teaching became the “new normal,” and traces how they coped with the new instructional media. The data were collected in two group zoom sessions with a supervisor and two observed lessons with observation sheets and lesson plans, and finally, in a written reflection and a recorded group interview. The teachers identified two main problems: 1) a lack of previous training and experience with online instruction and 2) classroom management specifics related to the nature of online lessons. Peer observation and collaborative tasks emerged as the main coping strategies. Although the teachers adapted to the new situation well, training programs should provide more courses on CALL (computer-assisted language learning) in their curricula in the future.

WEB QUESTING IN TEFL COURSES: WHAT FACTORS DETER THE STUDENTS’ INFORMATION-SEEKING BEHAVIOR?

The survival and the continuity of an organization’s operations depend upon the use of information. As such, investigating the Webquesting behavior of university students in general and TEFL (Teaching English as a foreign language) students in particular during the Covid 19 seems essential. Since information-seeking behavior can be influenced by various factors we aimed to explore the attitude of TEFL students towards webquesting. In the next phase of the study, we sought the barriers to TEFL students’ Webquesting behaviour. Accordingly, the present research employed both qualitative and quantitative approaches. The statistical population consisted of 128 TEFL students and the sampling method was purposeful. The findings of this study revealed that the students were not satisfied with their webquesting and that there were two major obstacles in their webquesting, namely, learners’ constraints and teachers’ constraints. The inhibitors included lack of familiarity with Internet sources, poor information seeking skills, lack of interest in some topics, lack of skills in using the Internet, poor English proficiency, teachers’ lack of CALL (computer assisted language learning) preparation, lack of help from the side of teachers, teachers’ lack of attention to non-textbook resources, and students’ lack of motivation and time. Findings have implications for TEFL teachers, since, based on the qualitative data, the most important source of information for students is textbooks and the most important goal of searching for information is for doing homework. The importance of textbooks for students is the result of the pivotal role given to the text books by teachers and the final exams. Perhaps students’ lack of interest in webquesting is partly due to such an undue emphasis. On the other hand, students’ lack of interest in Webquesting was also due to the lack of attention and encouragement from the side of teachers to use the Internet resources.

The effectiveness of integrating CALL into EFL context

This study tries to investigate impacts of integrating CALL in classroom enhancing EFL learning gaps. This study also tries to provide local voice and insight of implementing CALL into Iranian EFL contexts as well as global perspectives in CALL. There is no qualm that CALL mediated is adhered as technology development to convey and paving paths which we are interacting with each one of community members specially in EFL context users; tutors or pupils. So, primary goal of this research is to find how information and communicative technology and its methodology can be effectively utilized to ameliorate cumbersome and prohibitive EFL teaching-learning obstacles. Based on findings it can be predicted that CALL helps to learn FL skills. Recent research has focused to go over status of CALL and non-CALL settings to investigate what students do while to use CALL technology in EFL contexts for their language learning activities. While a lot of studies have carried out research in a laboratory context or through structure observation, this study explores learners’ interactions and challenges within CALL. The results indicate significant changes in participants’ scores after to use CALL to learn EFL skills in contrast to non-CALL environments. It examines strategies in which persuade students’ challenges for their developing CALL professionals and brief overview of three stages of CALL history, teachers’ jobs about computer assisted language learning in classroom for language learning purposes, Web. 2 applications and a purview to CALL components.

A Research on CALL-Based POA in English Writing Teaching

The combination of production-oriented approach (POA) and modern computer technology makes English learning and teaching more convenient and efficient. This research combines the computer-assisted language learning (CALL) mode with POA to form the online and offline hybrid teaching mode, aiming to provide a reference for English teachers.

An overview of popular website platforms and mobile apps for language learning

This paper aims at providing a survey of the most popular online educational platforms and mobile apps for language learning. It gives an overview of the development and current trends in what is generally labelled computer-assisted language learning (CALL) with reference to select pedagogical theories; in particular, those embedded in the theoretical framework of broadly defined constructivism, as well as select learning processes, including self-regulation, self-directed learning, personal knowledge management and the concept of learner autonomy. Following this theoretical backdrop, the analysis of 30 educational platforms for language learning is presented, which were evaluated against several criteria, such as accessibility, revised Bloom et al.’s taxonomy of learning outcomes, language levels, typology of exercises, etc.

Face issues in second language teaching via videoconferencing: the role of the smile as a co-verbal semiotic resource

Synchronous online language teaching involves the simultaneous employment of a range of techno-semio-pedagogical competences (Guichon, 2012). Indeed, given their flexibility and versatility, digital tools and the Internet can render teacher-student interactions dynamic. Among the necessary professional skills and strategies for online synchronous teaching, this paper focuses on the specific dimensions of affective competences and the social need to maintain a climate of comfort during one-to-one online tutoring interactions. We focus on a particular social phenomenon that is strongly linked to emotions – facework (Goffman, 1967). Applied to computer assisted language learning, we analyse how this social practice unfolds in an interactional environment where the perception of the other is mediated by a videoconferencing platform. We noted four different types of facework triggering situations: lexical breakdowns, private anecdote tellings, overlaps, and interruption of learner reflection time. Our multimodal analysis of facework reveals the frequent use of the smile as a mimicry semiotic resource and highlights the phenomenon of interactional synchrony.

Assessing the quality of TTS audio in the LARA learning-by-reading platform

A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts, with annotations typically including embedded audio and translations, to support L2 learning through reading. An important question is how to create the audio, which can be done either through human recording or by a Text-To-Speech (TTS) synthesis engine. We may reasonably expect TTS to be quicker and easier, but humans to be of higher quality. Here, we report a study using the open-source LARA platform and ten languages. Samples of LARA audio totaling about three and a half minutes were provided for each language in both human and TTS form; subjects used a web form to compare different versions of the same item and rate the voices as a whole. Although human voice was more often preferred, TTS achieved higher ratings in some languages and was close in others.

TextMix: using NLP and APIs to generate chunked sentence scramble tasks

A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating ‘sentence scramble’ learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble syntactic components of sentences, while connecting with Application Programming Interfaces (APIs) to provide repeated exposure to authentic sentences in the context of texts such as Wikipedia articles. In addition to identifying a novel application of NLP and APIs in CALL, this project highlights the need for teacher-friendly interfaces that prioritize pedagogically useful ways of chunking text.