We invite submissions from participants in universities, colleges, schools, industry, government organizations and NGOs to share their work in any theme pertaining to computing education, but particularly beyond introductory programming courses
Theme 1: Computing Education Research
Theme 2: Educational data mining and learning analytics
Theme 3: Curricula Design and Experience
Theme 4: India-specific Computing Education Research Issues
Theme 5: Responsible Computing
Research Papers: Research papers should have clear research questions which guide the research of the paper. The questions should be situated in light of prior work, and should highlight how the existing research addresses current gaps. The methods employed to answer the research question should be relevant and sound. Methods can be quantitative or qualitative, and we also welcome replication studies and papers that present negative results.
Experience Reports and Tools: The focus of papers in the Experience Reports and Tools (ERT) category is to provide details of the implementation of a tool or pedagogy in a computing education context. Such papers should describe the need of the tool or pedagogy, development and use of the tool or pedagogy in a concrete context (such as a classroom, online, hybrid settings etc.). The paper should also provide detailed reflections from the practitioner on what worked, what didn’t work and why. ERT papers differ from research papers in that it is targeted towards helping practitioners adopt the tool or pedagogy in their context, and not necessarily on using methods to answer research questions.
If a submission does not contain sufficient empirical evidence for the research paper or sufficient observations or reflections for the experience reports, then it can be considered for publication as a short paper (maximum 8 pages excluding references).
The papers accepted for COMPUTE 2024 will be published in the Springer CCIS series. (All published papers in CCIS are indexed in major scientific databases including Scopus and DBLP).
The paper must be submitted as a PDF through the CMT3 conference management system at the following URL: https://cmt3.research.microsoft.com/COMPUTE2024
You must use the templates (Word or LaTeX single column template) provided by Springer Computer Science Proceedings available here. The papers have to be original, i.e., not previously published in another conference or journal, nor currently under review by another conference or journal. Every submission will be checked for originality using a plagiarism detection software service, such as iThenticate.
Review process is double-blind (the authors do not know the identity of the reviewers and the reviewers do not know the identity of the authors). Authors are required to anonymize their submissions, ensuring that no identifying information such as names, affiliations, or acknowledgments are included within the manuscript. This extends to citations and references to one’s own work, which should be written in the third person to maintain anonymity.
Page limits are 12 pages for full papers and 8 pages for short papers, excluding references.