The special issue of the journal “IEEE Transactions on Education”, which will be dedicated to coding and computational, algorithmic, critical and creative thinking, welcomes the contributions of researchers, educators, teachers and students of high schools and universities on experiences and best practices relating to the use of coding and information technology in the educational field, both in the arts and humanities, and – in particular – in STEM subjects (science, mathematics, technology).

The objective of the call is to share guidelines and best practices related to the creation of learning communities, from primary to higher education, capable of promoting the development of global skills, guiding citizens in their training and professional path and reduce the percentage of young people who are not employed or placed in education and training courses, the so-called NEETs.

It is possible to submit contributions describing collaborative projects between schools and universities, for example those “bridge” initiatives of university students who act as mentors for high school students, or experiences of mutual mentoring between researchers, educators, parents, and students, in the perspective of giving light to all those actions aimed at improving relationships that contribute to a more inclusive educational community, in formal and non-formal contexts.

Criteria for the submission of full papers

Contributions, to be sent by 3 July, must refer to one of the three areas of study: application, discovery, and integration. Authors are encouraged to consult the Author Resource website for additional information on selecting the appropriate area of study.

These can be reviews, experience reports, position papers, research projects, research in progress or complete case studies. Best practices and lessons learned through international projects are welcome, such as those involving AICA, INDIRE and Scientix.

Articles must back up claims with compelling evidence and provide explicit and transparent descriptions of the processes by which data was collected, analyzed, and interpreted. Case studies will be evaluated but will need to present compelling evidence to support the claims, as well as describe the initiative. Scholars’ positions will also be taken into consideration if sustained by a solid theoretical base.

For assistance with submitting documents, please contact Lisa Jess at l.jess@ieee.org.

Read the call (deadline for sending contributions: 3/7/2023) >>

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