About Journal

 

The Quarterly Journal of Research in Teaching is the only specialized journal in the field of “teaching” in the country, which is published with the aim of developing basic and applied studies in this specialized field. This quarterly is the main reference for research in the field of education and teaching and seeks

The submitted papers will be published after a special review as well as the approval of the editorial board. The journal was established bytheUniversity of Kurdistanin 2013. The honorable professors and researchers are highly appreciated if they visit this site, register, submit and set up their papers based on the author guidelines. Therefore, visiting in person or calling the journal office are not recommended, so all connections with authors and reviewers are done through the website.

E-mail: trj.uok.ac@gmail.com

Salient Features of the Journal:

 - All Authors will get a soft copy of the certificate, letter of acceptance, reviewer evaluation grading

 - All the accepted papers will be open accessible with full PDF download.

 - The author(s) will get their acceptance/rejection notification within 2-3 months of submitting a paper.

 - Fully archived journal

 - High Impact Factor journal

 - High visibility & indexing

 - Open-access journal

 - Peer-reviewed journal

 - Rapid/fast track publication

 - Reputed editorial board

 - A response will be given within 24 hours.

 - Strict plagiarism policy.

 

   

Bibliographic Information

Title

Journal of Teaching Research

ISSN

Print: 2476-5686

Online: 2476-5600

Coverage

Education


Teaching


Learn

 

Classroom management


Curriculum


virtual teaching


Educational technology

 

Language

Persian; including English abstracts and bibliographies

Start Year

2013

Frequency

Biannual

Editor-in-Chief

Jamal Salimi, Associate Professor

Place of Publication

Iran

Publisher

University of  Kurdistan

Status

Active

Refereed

Yes

URL

http://cbs.uok.ac.ir/

Type of Access

Open Access (OA)

Type of License

CC- BY-NC

Plagiarism Detection Software

Manuscripts submitted to the Teaching Research Journal will be screened for plagiarism using Similarity Check / iThenticate plagiarism detection tools. The Journal will immediately reject manuscripts leading to plagiarism or self-plagiarism. All authors are suggested to use plagiarism detection software to do the similarity checking before submitting their manuscript to the journal.

Type of Publication (Processing Charges and Publication Charges)

Publication fee (4,000,000 Iranian Rial for publication) 

Full text access: Open Access

Revenue Sources

Institutional support, Donations

Type of Material

Serial (Periodical)

Description

It is an open-access peer-reviewed journal in Persian (including English abstracts and references) devoted to the field of the Teaching Research and This magazine is published in cooperation with the Iranian Curriculum Association and discusses issues related to education and teaching.

Copyright owner / Copyright holder

Authors retain copyright to their work without restrictions. The author has full control over the work (e.g. retains the right to reuse, distribute, republish etc.).

Open Access Statement

This journal is a fully open-access journal, which means that all articles are available on the Internet to all users immediately upon publication. Non-commercial and commercial use and distribution in any medium is permitted, provided the author and the journal are properly credited.

Benefits of open access for authors, include:

- Authors retain copyright to their work.

- Free access for all users worldwide.

- Increased visibility and readership.

- No spatial constraints.

- Rapid publication.

Data Citation

Data should be cited in the same way as article, book, and web citations and authors are required to include data citations as part of their reference list. Data citation is appropriate for data held within institutional, subject focused, or more general data repositories. It is not intended to take the place of community standards such as in-line citation of GenBank accession codes. When citing or making claims based on data, authors must refer to the data at the relevant place in the manuscript text and in addition provide a formal citation in the reference list. Teaching Research Journal follows the format proposed by the Joint Declaration of Data Citation Principles: Authors; Year; Dataset title; Data repository or archive; Version (if any); Persistent identifier (e.g. DOI)”.

Data Sharing Policy

The Teaching Research Journal uses the Basic Data Sharing Policy. The journal is committed to a more open research landscape, facilitating faster and more effective research discovery by enabling reproducibility and verification of data, methodology and reporting standards. The Teaching Research Journal encourages authors to cite and share their research data including, but not limited to: raw data, processed data, software, algorithms, protocols, methods, materials. Authors are encouraged to share or make open the data supporting the results or analyses presented in their article where this does not violate the protection of human subjects or other valid privacy or security concerns.

The Teaching Research Journal encourages authors to share the data and other artifacts supporting the results in the article by archiving it in an appropriate public repository. Authors should include a Data Accessibility Statement, including a link to the repository they have used, in order that this statement can be published alongside their paper.

The Teaching Research  Journal requires authors of Original Investigation, Case Report, and Special Paper articles to (1) place the de-identified data associated with the manuscript in a repository; and (2) include a Data Availability Statement in the manuscript describing where and how the data can be accessed.

The Teaching Research Journal defines data as the digital materials underlying the results described in the manuscript, including but not limited to spreadsheets, text files, interview recordings or transcripts, images, videos, output from statistical software, and computer code or scripts. Authors are expected to deposit at least the minimum amount of data needed to reproduce the results described in the manuscript.

Data can be placed in any repository that makes data publicly available and provides a unique persistent identifier, including institutional repositories, general repositories (e.g., Figshare, Open Science Framework, Zenodo, Dryad, Harvard Dataverse, OpenICPSR), or discipline-specific repositories.

The Data Availability Statement should be placed in the manuscript at the end of the main text before the references. This statement must include (1) an indication of the location of the data; (2) a unique identifier, such as a digital object identifier (DOI), accession number, or persistent uniform resource locator (URL); and (3) any instructions for accessing the data, if applicable.

At the point of submission, you will be asked if there is a data set associated with the paper. If you reply yes, you will be asked to provide the DOI, pre-registered DOI, hyperlink, or other persistent identifier associated with the data set(s). If you have selected to provide a pre-registered DOI, please be prepared to share the reviewer URL associated with your data deposit, upon request by reviewers.

Where one or multiple data sets are associated with a manuscript, these are not formally peer reviewed as a part of the journal submission process. It is the author’s responsibility to ensure the soundness of data. Any errors in the data rest solely with the producers of the data set(s).

Please note: As you are submitting your manuscript to the Journal where submissions are double-blind peer reviewed, the main text file should not include any information that might identify the authors (i.e., Author Name, Address, Conflict of Interest and fund related information). As a data availability statement could reveal your identity, we recommend that you remove this from the anonymized version of the manuscript.

Exceptions to this policy will be made in rare cases in which de-identified data cannot be shared due to their proprietary nature or participant privacy concerns. Exceptions to policy and restrictions on data availability are granted for reasons associated with the protection of human privacy, issues such as biosafety, and/or to respect terms of use for data obtained under license from third parties. Confidential data, e.g., human subject or patient data, should always be anonymized, or permission to share should be obtained in advance. If in doubt, authors should seek counsel from their institution’s ethics committee.

Authors should include a data accessibility statement, including a link to the repository they have used, in order that this statement can be published alongside their paper. Below a few examples:

Data Availability Statement:

1. Data associated with this article are available in the Open Science Framework at .

2. The data that support the findings of this study are openly available in [repository name] at http://doi.org/[doi], reference number [reference number].

3. The data that support the findings of this study are openly available in [repository name] at [URL], reference number [reference number].

4. The data that support the findings of this study are available in [repository name] at [URL/DOI], reference number [reference number]. These data were derived from the following resources available in the public domain: [list resources and URLs]