Special Session
Special Session on
Emerging and Automated versus Traditional Research Methods -
AIR
2025
1 - 3 April, 2025 - Porto, Portugal
Within the 17th International Conference on Computer Supported Education - CSEDU 2025
* CANCELLED *
CO-CHAIRS
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Italo Masiello
Linnaeus University
Sweden
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Brief Bio
I am Professor of Educational Technology at the Department of Computer Science and Media Technology, Linnaeus University, Växjö, Sweden. My research focuses on learning analytics, implementation sciences and learning effectiveness. The research group I lead is interdisciplinary and brings together education, psychology, design, computer and technology sciences. I am responsible for the master’s program in Educational Technology. I previously worked with Medical Education, MedTech and Innovation and bring that knowledge with me in a new and large research program named Educational Technology in Schools. The program aims to change teachers' everyday practice and improve students' school results. This will be done by means of data-informed support and analysis combined with systematic competence development in close collaboration with teachers, school leaders and EdTech companies.
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John Rack
Linnaeus University
Sweden
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Brief Bio
John Rack is docent in the department of Pedagogy and Learning at Linnaeus University. He has a background as a researcher in the field of reading and learning difficulties and as a practicing Educational Psychologist, before moving into teacher training and policy advisory roles, and finally back into research within the field of assistive technology and accessibility in general. As a psychologist, John has worked extensively with assessment data and the design of individualized learning plans, and with supporting teachers in providing inclusive and accommodative teaching practices and environments.
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SCOPE
Artificial intelligence has received massive attention in education and is revolutionizing how we do research. Large language models can be used to analyse qualitative data quickly. We need to ask, however, whether the outputs are providing a full picture and to understand differences and similarities depending on the techniques used.
In this special sessions we discuss the complementarity among the interpretations produced by the different analytical methods, underscoring the potential of automated methodologies in educational research. Contributions should focus on how different approaches are effective in generating data queries and hypothetical insights. One aim of this special session is to promote reflection and discussion on the use of automated vs traditional methodologies as well as to highlight areas of concordance.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Emerging Qualitative Methods of Analysis
- Artificial Intelligence in Research Methods
- Automated Qualitative Analysis
- Semi-automated Qualitative Analysis
- Large Language Model and Chat-bots for Qualitative Analysis
IMPORTANT DATES
Paper Submission:
January 30, 2025
Authors Notification:
February 13, 2025
Camera Ready and Registration:
February 21, 2025
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library