Researching Academic Integrity in Higher Education

A special issue of Education Sciences (ISSN 2227-7102). This special issue belongs to the section "Higher Education".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 277

Special Issue Editor


E-Mail Website
Guest Editor
College of Education & Human Development, University of Nevada, Reno, NV 89557, USA
Interests: international education; educational assessment; academic Integrity in higher education; mathematics education; using quantitative and mixed methods approaches

Special Issue Information

Dear Colleagues,

The Special Issue will critically examine the research on the academic integrity of students in higher education. Critical examination includes not only describing results, but contextualizing results withing the larger field. What do the results say about what is well established, and not well established in the field? What results may be relevant to efforts to reduce academic misconduct (AM), and what results may be less helpful? What is the quality of the research on this field within different subtopics? Where should the research be going next, and why? What new issues is the field facing? Why are these issues important? How should they be addressed? To this end, we encourage the submission of manuscripts reflecting a wide range of research methods, including qualitative, quantitative, mixed methods, meta-analyses, and systematic reviews.

The following list of topics is intended to be suggestive, not exhaustive:

  • What are the relationships between the recent pandemic and AM?
  • How is the emergence of artificial intelligence applied to education tasks an affordance and/or threat to student learning and AM?
  • What do we know about the effectiveness of interventions to reduce AM, as well as the quality of that work?
  • What do we know about motivation for committing AM, and to what extent are these patterns helpful in reducing AM?
  • What do we know about student characteristics as predictors of AM, and to what extent are these patterns helpful in reducing AM?
  • What do we know about contextual variables as predictors of AM, and to what extent are these patterns helpful in reducing AM?

Dr. Bob Ives
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers

There is no accepted submissions to this special issue at this moment.
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