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Educational Technology Research & Development (ETR&D) Call for Proposals: Special Issue on “Replication Studies”

By AECT Staff posted 11-26-2024 10:38 AM

  

Guest Editors 

Xun Ge, Ph.D., University of North Texas, USA 

Email: xun.ge@unt.edu 

  

Kausalai (Kay) Wijekumar, Ph.D.,Texas A&M University, USA 

Email: k_wijekumar@tamu.edu 

  

Dirk Ifenthaler, Ph.D., University of Mannheim, Germany and Curtin University, Australia 

Email: dirk@ifenthaler.info 
 

Seng Chee Tan, Ph.D., Nanyang Technological University, Singapore 

Email: sengchee.tan@nie.edu.sg 

  

  

Problem Statement 

Replication of research is a critical scientific process for validating and confirming findings, solidifying theories, and building robust knowledge in a field (Christensen et al., 2022). It transforms single observations into accepted scientific knowledge (Schmidt, 2017), allowing researchers to challenge existing concepts and, more importantly, discover new solutions to ongoing problems. However, the scarcity of replication studies in the social sciences has become a growing concern, and this issue is particularly concerning in educational research, especially in educational technology (Christensen et al., 2022; Makel & Plucker, 2014; Perry, 2022; Schmidt, 2017; Schneider, 2019; What Works Clearinghouse, 2022). Several factors may have contributed to the lack of replication studies: journal biases that favor novel studies with more significant impact than replication studies (Makel & Plucker, 2014), and the inherent challenges of conducting experiments in real-world educational settings, which are often messy and unpredictable. The absence of replication studies can result in unreliable findings influencing decisions made by educators, administrators, and policymakers, ultimately making a negative impact in education. 

 
Purpose 

In recent years, researchers in education, like those in areas of social sciences, have increasingly acknowledged the importance of replication studies (Plucker & Makel, 2021). Various efforts have been made to encourage more focus on replication, such as discussions within professional organizations like the National Technology Leadership Summit (NTLS) and the Society for Information Technology in Teacher Education (SITE), and editorials calling for replication research (Christensen et al., 2022). Journals such as the Journal of Research on Educational Effectiveness (JREE) now actively welcome replication studies, including those with null or negative results. Similarly, the U.S. Department of Education’s Institute of Education Sciences and the Educational Innovation and Research Programs have called for replication studies in their funding announcements. Replication and original studies are also required to be registered in research databases like https://sreereg.icpsr.umich.edu/sreereg/. Despite these attempts, more effort should be put forward to promote and publish replication studies in an academic culture that prioritizes original research and novel findings. Therefore, this special issue aims to further encourage replication research, specifically in the field of educational technology. 

 

Replication Studies - Definitions and Frameworks 

According to Schmidt (2009; 2017), replication studies are methodological tools that, through repetition, can transform observations into established knowledge (Schmidt, 2009). 

Replication can be categorized into four main types on a continuum ranging from the highest level of replication to the least stringent replication (Darley, 2000; Schmidt, 2009) 

  • Direct (Strict) Replication involves reproducing a study using the same methods, procedures, and instruments with a highly similar participant sample, ensuring the new study closely mirrors the original. 

  • Partial Replication introduces changes into one aspect of the original study. 

  • Operational Replication mainly tests for validity, including some level of reiteration of the conceptual framework, research plan and design, instrumentation, and so on. 

  • Conceptual Replication uses different methods, populations, contexts, or analyses to test the hypothesis of the original study and confirm its findings, with a focus on the original study findings and theory. 

 

Comparable to Darley’s and Schmidt’s categories described above, Christensen et al. (2022) offer a framework for replication that spans reproduction, reiteration, and refocus, specifically used for guiding replication research in the context of educational technology. These frameworks offer useful lenses for educational researchers to categorize replication studies. 
 

Call for Proposals  

We invite proposals for replication studies in the fields of instructional design, learning sciences, and educational technologies. Proposals should focus on one of the following types of replication studies: strict, partial, operational, or conceptual (or similar categories), over a period of time. The research proposal should provide a brief description of an original/existing study, based on which you are going to carry out the replication study, followed by your plan to conduct the replication study. Proposals (up to 1000 words) should include the following: 

  • Purpose or objectives 

  • Relevance of the original study and the need for replication 

  • Research questions 

  • Type of replication study (including which framework is being adopted, as outlined in the section “Replication Studies: Definitions and Frameworks”) 

  • Research methods or approaches 

  • Timeline for the replication study, including key milestones 

  

 

Estimated Timeline 

  • Call for proposals: January–March 2025 

  • Proposal submission due date: April 30, 2025 

  • Proposal acceptance notification: June 30, 2025 

 

  • 1st progress check-in: December 31, 2025 

    • Expectations: (a) Approval from Institutional Review Board (IRB) (or a similar ethics review body) has been obtained; and (b) a plan has been set up to collect data, with specific information about the research context, sample/participants, timeline for collecting data, etc. 

    • Documents: (a) Notification of IRB (or a similar ethics review board) approval; (b) a research plan, including specific details of the replication study, such as purpose and research questions, timeline, context, participants, intervention, instruments, data collection and analysis.  

    • Rationale: To provide assurance that the replication study will be carried out as you have described in the proposal you have submitted for the Special Issue.  

 

  • 2nd progress check-in: June 30, 2026 

    • Expectations: Data have been collected and in the process of data analysis 

    • Documents: (a) A brief report about the data collection, including the number of participants, data collected, and any challenges that have been encountered during the implementation or data collection. (b) A plan with a timeline to complete the data analysis. 

    • Rationale: To ensure timely completion of data analysis and writing up results for the manuscript according to the proposed timeline 

 

  • Manuscript submission due date: September 30, 2026 

  • 1st round review notification: December 31, 2026 

  • 1st round revision submission due date: February 28, 2027 

  • 2nd round review notification: May 31, 2027 

  • 2nd round revision due date: July 31, 2027 

  • Final acceptance notification: September 30, 2027 

  • Final manuscript due date: October 31, 2027 

  • Estimated publication date: December 31, 2027 

  

Continuous issues 

If your research results in a series of replications, subsequent replication studies can be featured in a future issue. 

References 

Christensen, R., Hodges, C. B., & Spector, J. M. (20221). A framework for classifying replication studies in educational technologies research. Technology, Knowledge and Learning, 27(4), 1021–1038. https://doi.org/10.1007/s10758-021-09532-3 

Darley, W. K. (2000). Status of replication studies in marketing: A validation and extension. Marketing Management Journal, 10(2), 121–132.  

Makel, M. C., & Plucker, J. A. (2014). Facts are more important than novelty: Replication in the education sciences. Educational Researcher, 43(6), 304–316. https://doi.org/10.3102/ 0013189Å~14545513 

Makel, M. C., Plucker, J. A., Freeman, J., Lombardi, A., Simonsen, B., & Coyne, M. (2016). Replication of special education research: Necessary but far too rare. Remedial and Special Education, 37(4), 205–212. https://doi.org/10.1177/0741932516646083 

Makel, M. C., Smith, K. N., McBee, M. T., Peters, S. J., & Miller, E. M. (2019). A path to greater credibility: Large-scale collaborative education research. AERA Open, 5(4).https://doi.org/10.1177/2332858419891963 

Perry, T., Morris, R., & Lea, R. (2022). A decade of replication study in education? A mapping review (2011–2020). Educational Research and Evaluation, 27(1–2), 12–34. https://doi.org/10.1080/13803611.2021.2022315 

Plucker, J. A., & Makel, M. C. (2021). Replication is important for educational psychology: Recent developments and key issues. Educational Psychologist, 56(2), 90–100. https://doi.org/10.1080/00461520.2021.1895796 

Schmidt, S. (2017). Replication. In M. C. Makel & J. Plucker (Eds.), Toward a more perfect psychology: improving trust, accuracy, and transparency in research (pp. 233–253). American Psychological Association. https://doi.org/10.1037/0000033-015 

Schneider, M. (2019). Taking discovery to scale. https://nces.ed.gov/blogs/ncee/post/taking-discovery-to-scale1 

What Works Clearinghouse (2022). What Works Clearinghouse Standards Guide 5.0. https://ies.ed.gov/ncee/wwc/handbooks 

 

 

Notes to the ETR&D Editors: Open Call and Target Dissemination 

We plan to disseminate this call through major educational research organizations and social media channels, including: 

  • AECT and its divisions (via listserv) 

  • AERA and relevant SIGs (via listserv) 

  • EARLI 

  • Ascilite 

  • Digital Promise 

  • Johns Hopkins Center for Technology in Education 

  • Funded teams from the U.S. Department of Education and National Science Foundation 

  • Society for Research on Educational Effectiveness 

  • What Works Clearinghouse 

  • Social media platforms such as LinkedIn, X, and Facebook 

 
 

 

 

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