Publication All articles are reviewed by at least two members of the Editorial Board. The Editor and the Editorial Board reserve the right to suggest changes and corrections and to decide the final acceptance and publication schedule of accepted manuscripts. Quantitative or qualitative research-based articles are considered are selected for publication. Reviews occur on a continual basis. Authors are completely responsible for the factual accuracy of their contributions and neither the Editorial Board of the Online Journal for Workforce Education and Development nor Southern Illinois University accepts any responsibility for the assertions and opinions of contributors. Authors are responsible for obtaining permission to quote lengthy excerpts from previously published articles. Duplication Material appearing in the Journal may be distributed freely by electronic or any other means, providing that any such distribution is without charge (unless for purposes of cost recovery by interlibrary loan services) and that the Journal is acknowledged as the source. However, no article may be reprinted in any publication without the explicit written permission of the author(s). Copyright Authors or owners of copyright will retain copyright in the published articles. Submission to the Journal implies limited consent which allows the University to distribute the work provided no charge is made and provided the authors/owners and Journal are given credit. The authors/owners retain the copyright to any reprinting in any other publication.

Submission Guidelines General Submissions of manuscripts can be made by using the "Submit" link on the Journal's home page. Articles must include actual, statistical research data to support findings and conclusions. Authors' names, titles, affiliations, with complete mailing addresses, including e-mail, telephone and facsimile numbers should be entered in the online submission forms only, and not in the document itself, in order to ensure anonymity in reviewing.

Style Typescript should conform to the following: Microsoft Word document Times New Roman font, 12 point Title of paper (Capitals, bold, centered), top of page Sub-headings (left aligned, bold) Single space entire manuscript Left justified with text-wrapped right text All margins 1" All figures and tables should be integrated into the Microsoft Word document. References should follow the guidelines provided by the latest edition of the Publication Manual of the American Psychological Association (APA) All references cited should appear in the reference list. Those not cited should not appear in the reference list.  

Manuscripts should not exceed 6,000 words, excluding abstract, tables, figures, notes and references. You will be asked to enter a structured abstract of between 75 and 150 words as part of the submission process. Include a copy of your university’s Human Subjects approval document.

Your manuscript will be evaluated using the following criteria:

1. Introduction

2. Research problem is clearly stated along with need for the study and research questions

3. Related literature provides a frame work for the study.

4. Research design

5. Procedures are suitable, detailed, and the sample is appropriate and generalizable

6. Findings: objective data presented with statistical display of data.

7. Discussion, conclusions, and recommendations

8. Thoughtful discussion and sound conclusions

9. Future research is supported by conclusions or rational

10. Suitability: study contributes to the literature and adheres to criteria.

11. Documentation: references and in-text citations meet the latest APA standards.

12. Writing is professional, clear, organized, and easy to understand.

Structured Abstract Example :

Objective : We developed a method for enabling human-like, flexible supervisory control via delegation to automation. Background: Real time supervisory relationships with automation are rarely as flexible as human task delegation to other humans. Flexibility in human-adaptable automation can provide important benefits including: improved situation awareness, more accurate automation usage, more balanced mental workload, increased user acceptance, and improved overall performance. Method: We reviewed problems with static and adaptive (as opposed to "adaptable") automation. We contrasted these approaches with human-human task delegation, which can mitigate many of the problems. Results: On the basis of these analyses, we proposed methods for supporting human-machine delegation interactions that parallel human-human delegation in important respects. We develop an architecture for machine-based delegation systems based on the metaphor of a sports team's "playbook". Finally, we describe a prototype implementation of this architecture, with an accompanying user interface and usage scenario, for mission planning for uninhabited air vehicles. Conclusion: Delegation offers a viable method for flexible, multi-level human-automation interaction to enhance system performance while maintaining user workload at a manageable level. Application: Most applications of adaptive automation (aviation, ATC, robot control, process control, etc.) are potential avenues for the adaptable, delegation approach we advocate. We presented an extended example for VAV mission planning.