scholarly journals A Study on Self-efficacy and Its Role in Mobile-assisted Language Learning

2020 ◽  
Vol 10 (4) ◽  
pp. 439
Author(s):  
Zhenyu Yang
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Self Efficacy ◽  
Easy Access ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Information Communication ◽  
Self Regulated Learning ◽  
Mobile Assisted Language Learning ◽  
Limit Access

In this era of digital technology, time and place no longer limit access to information, communication, and learning. Following the trend and popularity of CALL (Computer-assisted Language Learning), MALL (Mobile-assisted Language Learning) is gaining increasing attention and application. Many teachers as well as language learners turn to these mobile devices for various language learning purposes due to easy access to resources, convenience, and less language anxiety. Despite the comprehensive functions and sophisticated devices, a high percentage of learners still lag behind and even give up the apps after some time of use. Some research shows that the unsuccessful learners’ lack of motivation constitutes a major hinderance in their self-regulated learning. This study tries to analyze an important component in learners’ motivation, that is self-efficacy (especially computer self-efficacy), and seek for good solutions to the current problems.

scholarly journals The spread of computer-assisted language learning

2009 ◽  
Vol 43 (1) ◽  
pp. 66-74 ◽  
Author(s):  
Carol A. Chapelle
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Comparative Research ◽  
Applied Linguistics ◽  
Clear Distinction ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Culture Learning ◽  
Language And Culture ◽  
Research Perspectives

This paper argues that the vertical spread of computer-assisted language learning (CALL), i.e., a spread throughout language materials and curricula, makes it difficult to draw a clear distinction between CALL and other language materials. In view of the emphasis that teachers, researchers, and administrators have placed on evaluating CALL, I argue that some valuable lessons about materials evaluation can be drawn from reflection on issues in CALL evaluation. In particular, I discuss the opportunities for professionals to reconsider assumptions held about comparative research, draw upon research perspectives and methods from applied linguistics in materials evaluation, and include critical perspectives which examine the opportunities that materials offer language learners to engage in language and culture learning.

Attitudes of Adult EFL Learners Towards Preparing for a Language Test via CALL

2019 ◽  
pp. 1730-1745
Author(s):  
Nilüfer Bekleyen ◽  
Serkan Çelik
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Learning Experience ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Language Test ◽  
State University ◽  
Adult Language Learners ◽  
Traditional Classroom Teaching ◽  
Higher Education Preparation

The present study focuses on the attitudes of adult language learners towards an Internet-based computer program designed to prepare the users for a language test. The participants were the attendees of a YDS (National Foreign Language Examination offered by the Turkish Council of Higher Education) preparation course which was conducted at a state university in Turkey. Sixty participants contributed to the study. Their attitudes towards Computer Assisted Language Learning (CALL) were measured via two different instruments: a questionnaire and an interview. The results indicated that lower level learners had significantly better attitudes towards CALL compared to higher level learners. In general, the participants found computers to be more interesting, motivating and encouraging but did not consider the traditional classroom teaching substitutable with CALL. The findings revealed no significant changes pertaining to the participants' attitudes towards CALL after their language learning experience with computers for four months.

Mastering Technology-Enhanced Language Learning, Computer-Assisted Language Learning, and Mobile-Assisted Language Learning

2017 ◽  
pp. 157-180 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Language Learning ◽  
Teaching And Learning ◽  
Computer Mediated Communication ◽  
Digital Age ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Mediated Communication ◽  
Modern Language ◽  
Mobile Assisted Language Learning ◽  
Impact Of Technology

This chapter explains the overview of Technology-Enhanced Language Learning (TELL); the overview of Computer-Assisted Language Learning (CALL); the relationship between Computer-Mediated Communication (CMC) and language learning; the overview of Mobile-Assisted Language Learning (MALL); and the technological utilization for language learning in the digital age. TELL, CALL, and MALL significantly deal with the impact of technology on teaching and learning the second language or foreign language. TELL, CALL, and MALL are the utilization of the advanced devices as the technological innovation to display multimedia as the modern language learning methods in the digital age. TELL, CALL, and MALL effectively improve learning motivation and develop better attitudes in students and language learners toward language learning. The chapter argues that encouraging the applications of TELL, CALL, and MALL has the potential to improve language learning performance and reach strategic goals in the modern language learning environments.

A hypertext approach to foreign language reading

2003 ◽  
Vol 17 ◽  
pp. 91-110 ◽  
Author(s):  
Jeong-Bae Son
Keyword(s):  
Foreign Language ◽  
Language Learning ◽  
Language Learners ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Foreign Language Learners ◽  
Foreign Language Reading ◽  
Reading Materials ◽  
Reading Text ◽  
Computer Based

This article reports the results of a study conducted to examine the use of three different reading text formats: paper-based format (PF), computerbased non-hypertext format (NHF), and computer-based hypertext format (HF). It investigates foreign language learners’ reactions to the three text formats, focusing particularly on the usefulness of hyperlinks in computermediated text to provide readers with optional assistance during independent reading. Data collected from an interview with a group of Korean as a foreign language (KFL) students are presented and discussed. The results of this study show that the students considered the use of hyperlinks to be helpful and useful for their learning and suggest that it is important to look at the way in which reading materials and supporting information are presented when designing or selecting computer-assisted language learning (CALL) programs.

Perspectives on computer assisted language learning

ReCALL ◽  
1995 ◽  
Vol 7 (2) ◽  
pp. 5-19 ◽  
Author(s):  
Kurt Kohn
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
Second Language Learners ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Computer Based Learning ◽  
Recent Developments ◽  
Distance Communication ◽  
Computer Based ◽  
And Training

Computer Assisted Language Learning (CALL) addresses the specific needs of second language learners and tutors in computer-based learning and training environments. While traditional CALL applications were mainly focused on narrowly defined and isolated solutions for vocabulary training, text manipulation, dialogue practice and grammar exercises, recent developments in multimedia telematics, involving the integration of multimedia processing and distance communication, have significantly increased the potential of computer technologies for the purposes of language learning and training.

iStudyAbroad

2011 ◽  
pp. 133-146
Author(s):  
Kathryn Murphy-Judy
Keyword(s):  
Language Learning ◽  
Learning Technologies ◽  
Great Promise ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Mobile Assisted Language Learning ◽  
Studying Abroad ◽  
Transnational Community ◽  
Mp3 Players ◽  
Planned Activities

Students studying abroad already don’t leave home without their mobile devices—phones, MP3 players, netbooks, laptops. The potential for m-learning for these device-toting learners holds great promise that can easily be capitalized upon by the savvy teacher. Learners studying abroad who are outfitted with m-learning devices which include well-chosen Web 2.0 resources derive immediate and long range benefits. Furthermore, when organized to communicate with learners back home, the travelers help create a transnational community of practice that shares the wealth of the experiential learning. This chapter takes a tour of mobile learning technologies and techniques that enhance and extend the study abroad experience far beyond the reach of a small group fortunate enough to travel. As has long been the case with CALL (Computer Assisted Language Learning) and TELL (Technology Enhanced Language Learning), and now with MALL (Mobile Assisted Language Learning), experts note that well-chosen resources, along with carefully structured and planned activities, enhance various aspects of language acquisition and social interaction. After the literature review, this chapter considers lessons gleaned from the author’s trails, trials, and errors across a range of technologies and borders. It ends with suggestions for ways to optimize iStudyAbroad today and tomorrow.

Portable Handheld Language Learning from CALL MALL to PALL

2011 ◽  
pp. 539-553 ◽  
Author(s):  
Chaka Chaka
Keyword(s):  
Language Learning ◽  
Mobile Learning ◽  
Virtual Learning ◽  
Handheld Devices ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Mobile Assisted Language Learning ◽  
The Future ◽  
E Learning ◽  
Definition Of

This chapter explores aspects of portable handheld language learning that are likely to benefit many mobile assisted language learning (MALL) practitioners. Portable handheld language learning refers to mobile, virtual, and ubiquitous language learning mediated through mobile handheld devices. Currently, both computer assisted language learning (CALL) and MALL seem to dominate the act of language learning. Against this background the chapter first provides a brief review of CALL, highlighting CALL technologies helping mediate language learning. Second, it delineates features typifying e-Learning and contends that CALL is more closely linked to traditional e-Learning than MALL. Third, it provides empirical instances of MALL and argues that the future of language learning lies more with MALL and especially with pen assisted language learning (PALL) than with CALL. Finally, it maintains that an all-encompassing and multidimensional definition of mobile learning is necessary if MALL is to evolve into a mainstream virtual learning enterprise.

scholarly journals Mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS): A conceptual framework

2020 ◽  
Vol 36 (6) ◽  
pp. 34-52
Author(s):  
Olga Viberg ◽  
Barbara Wasson ◽  
Agnes Kukulska-Hulme
Keyword(s):  
Second Language ◽  
Second Language Acquisition ◽  
Language Learning ◽  
Conceptual Framework ◽  
Language Learners ◽  
Learning Analytics ◽  
Target Language ◽  
Self Regulated Learning ◽  
Mobile Assisted Language Learning ◽  
Regulated Learning

Many adult second and foreign language learners have insufficient opportunities to engage in language learning. However, their successful acquisition of a target language is critical for various reasons, including their fast integration in a host country and their smooth adaptation to new work or educational settings. This suggests that they need additional support to succeed in their second language acquisition. We argue that such support would benefit from recent advances in the fields of mobile-assisted language learning, self-regulated language learning, and learning analytics. In particular, this paper offers a conceptual framework, mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS), to help learning designers support second language learners through the use of learning analytics to enable self-regulated learning. Although the MALLAS framework is presented here as an analytical tool that can be used to operationalise the support of mobile-assisted language learning in a specific exemplary learning context, it would be of interest to researchers who wish to better understand and support self-regulated language learning in mobile contexts. Implications for practice and policy: MALLAS is a conceptual framework that captures the dimensions of self-regulated language learning and learning analytics that are required to support mobile-assisted language learning. Designers of mobile-assisted language learning solutions using MALLAS will have a solution with sound theoretically underpinned solution. Learning designers can use MALLAS as a guide to direct their design choices regarding the development of mobile-assisted language learning apps and services.

scholarly journals Crowdsourcing in language learning as a continuation of CALL in varied technological, social, and ethical contexts

2020 ◽  
pp. 75-80
Author(s):  
Elżbieta Gajek
Keyword(s):  
Language Learning ◽  
Language Learners ◽  
General Concept ◽  
Computer Assisted ◽  
Computer Assisted Language Learning ◽  
Motivational Factor ◽  
Cost Action ◽  
European Project ◽  
Active Contribution

Crowdsourcing not only opens new perspectives within the general concept of Computer Assisted Language Learning (CALL), but also raises questions about ethics, motivation, and fair contribution. Technology offers platforms such as Duolingo, Bussu, and Babbel for learning languages with active contribution of the learners. Such applications reach millions of users. Thus, there is a need for initiatives to explore the potential of crowdsourcing for language learning. One of them is enetCollect CA16105 Combining Language Learning with Crowdsourcing Techniques, which is a European project within COST action. The aim of this paper is to disseminate the project’s ideas as well as present some results of the research done by the author as her contribution to the project activities. The findings show that language learners are not heavy gamers and the feedback they receive is the strongest motivational factor towards crowdourcing.

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