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Journal of Science Education and Technology - Special Issue Call for Papers - Using Epistemic Network Analysis to Provide Nuanced Perspectives in STEM Education Research New Content Item

Guest Editors 
Lisa Lundgren, Utah State University, Department of Instructional Technology and Learning Sciences, USA 

Mark H. Newton, East Carolina University, Department of Mathematics, Science, and Instructional Technology Education, USA

Erin E. Peters-Burton, Center for Social Equity Through Science Education, George Mason University, USA


Call for papers
Technology-rich learning environments have led to a proliferation of multidimensional data that is collected about learners and their learning process. To study learning effectively, researchers need to acknowledge the multidimensional and relational phenomenon that can occur for different individuals or groups under various conditions in these environments. Oftentimes, the data collected offer potentially informative connections, but the analyses lack holistic explanation. Epistemic network analysis (ENA) allows for researchers to explore qualitative and quantitative connections between learners and their environment and the intricacies of change in affect and practice over time. In other words, ENA provides nuanced perspectives on rich qualitative data unachievable with certain established methods. With this special issue, we seek to address intersections of STEM learning—including traditional disciplines, integrated STEM, and certain applications of computer science—and technology within online, computer-assisted, and traditional learning environments. Yet, ENA is not a panacea for STEM education research, thus it is imperative for researchers to acknowledge both the positives and negatives of working with such a tool. Manuscripts considering the strengths and/or shortcomings of ENA are also encouraged. This special issue offers a collection of multidisciplinary scholarship that can expand our understanding of a method steeped in technology that utilizes both big data and qualitative understandings to answer pressing educational issues.
 

What to submit:
Please submit a 500-word extended abstract which follows the publication guides (this opens in a new tab) for the Journal of Science Education and Technology via word document, google docs, or PDF.
 

Who to submit to:
Submit your extended abstract to newtonm19@ecu.edu 
 

Timeline:

  • Submit extended abstracts by October 23, 2023
  • Invitations for full papers will be sent out November 17, 2023
  • Full papers, following JOST’s normal publishing parameters, will be due in March 2024

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