Submissions

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Submission Guidelines

Manuscript Submission

Manuscripts considered for publication will be double-blind reviewed for their presentation and analysis of new empirical data using appropriate research methods or development of theories relevant to language teaching and/or learning through technology, cultural or intercultural learning, policies, and theories and methods of technology integration into language education. The journal places a clear focus on language teaching pedagogy using technology and seeks to be a useful resource for teachers who are currently exploring how to better employ technology in their individual teaching and learning contexts.

Consider titles that are not too informal or that narrow the focus too much (only include a specific country in the title if you feel that it has a crucial impact on the study), and ensure the writing is clear throughout. Proofread manuscripts thoroughly before submission, as large amounts of grammatical errors can make it difficult for reviewers to read the manuscript which may have a detrimental effect on their evaluation of your research.

Technology in Language Teaching and Learning accepts the following types of submissions:

1. Original Research Articles (Regular Articles)

Original research articles should be 6,000–8,000 words in length (excluding references and appendices). These submissions are expected to report empirical research grounded in solid methodology and relevant theoretical frameworks. Studies employing multiple data collection methods are encouraged; however, if a single method is used (e.g., a survey), the analysis must be sufficiently rigorous to provide in-depth insights into language teaching or learning contexts.

2. Conceptual/Theoretical Articles

Conceptual or theoretical articles aim to propose new models, frameworks, or perspectives that advance understanding in the field of language teaching and technology. These papers do not require empirical data but must demonstrate critical engagement with existing literature and offer original, well-argued contributions. Suggested length: 5,000–7,000 words.

3. Invited Commentaries or Position Papers

These articles are typically commissioned by the editorial team and provide critical reflections, responses to recently published work, or perspectives on emerging trends and debates in the field. Length: 2,000–4,000 words. If you wish to propose a position paper or commentary, please contact the editor in advance (tltl@castledown.com).

Publication Frequency

Technology in Language Teaching & Learning publishes accepted articles on a continuous basis.

Formatting & Layout

Manuscripts must be submitted as a .docx document file. Any information identifying the authors should be removed from the primary manuscript document. Reference to work from the authors should be marked as "Author1, 20xx" or "Author2, 20xx" in the citations, and references should be included as "Author1. (20xx)." or "Author2. (20xx)." Please do not number subsections. Heading levels should be obvious by using the heading functions in MS Word or equivalent. Please do not try to emulate the formatting of the published articles. All references and citations must be in accordance with the APA 7th edition. Where possible, DOIs should be included as "https://doi.org/xxx.xxx" for all references.

Declaration of Use of Generative AI

Please refer to the following guidelines regarding the use of Generative AI in preparing and writing the manuscript: https://www.castledown.com/journals/index/author-guidelines-on-the-use-of-generative-ai

Open Access Policy

This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. There are no fees to submit to this journal, but article processing charges are required once a manuscript has been accepted for publication. These fees are available here. The open access statement is available from here.

Publication Ethics

Note that all submissions to this journal must be original work that has not been published or is currently under review elsewhere. Manuscripts that have been published as pre-prints may be considered as being already published. All submissions are checked for plagiarism on submission by iThenticate. Information about the peer review process and publication ethics is available from here.

Content Archiving

All content is archived in LOCKSS, CLOCKSS, and PKP Preservation Network.

Special Issue: Teacher Education

Submissions for the special issue for AI technology should be submitted here.

Special Issue: ChatGPT

Submissions for the special issue for ChatGPT should be submitted here.

Special Issue: AI

Submissions for the special issue for AI technology should be submitted here.

Privacy Statement

We are committed to protecting the privacy of our authors, reviewers, and readers. This privacy statement outlines how we collect, use, and safeguard personal information in accordance with applicable data protection laws.

Information We Collect

Personal Information from Authors and Reviewers: When submitting a manuscript or participating in the peer review process, we collect personal information such as names, affiliations, email addresses, and ORCID iDs. This information is necessary for manuscript processing, communication, and scholarly collaboration.

Usage Data from Readers: We collect anonymized usage data (e.g., IP addresses, browser type, pages visited) to improve our website, track article views, and understand reader preferences. This data helps us enhance user experience and tailor content.

How We Use Personal Information

Manuscript Processing: We use authors’ and reviewers’ personal information to manage manuscript submissions, peer review, and editorial processes. This includes communication regarding manuscript status, revisions, and decisions.

Communication: We communicate with authors, reviewers, and readers via email or other channels. We may send notifications, updates, and announcements related to the journal.

Analytics and Improvements: Usage data helps us analyze website performance, identify trends, and enhance content delivery. We use aggregated data to improve our services and tailor content to readers’ interests.

Data Security and Retention

Security Measures: We implement technical and organizational measures to protect personal information. Access to data is restricted to authorized personnel only.

Data Retention: We retain personal information for as long as necessary to fulfill the purposes outlined in this statement. Authors’ and reviewers’ data is retained for archival and scholarly purposes.

Third-Party Services

Service Providers: We may engage third-party service providers (e.g., hosting platforms, analytics tools) to support our operations. These providers adhere to privacy and security standards.

External Links: Our website may contain links to external sites. We are not responsible for their privacy practices.

Your Rights

Access and Correction: Authors, reviewers, and readers can request access to their personal information or update it. Contact our editorial office for assistance.

Withdrawal of Consent: Authors and reviewers can withdraw consent for data processing at any time. However, this may impact manuscript processing.