
This workshop focuses on peer review of journal manuscripts in the field of engineering education research. Together we will consider how to review manuscripts fairly, constructively and effectively. We will also discuss the ethics and implications of generative AI on submissions and on the peer review process. Both experienced and new reviewers are invited to this workshop, with a particularly warm welcome extended to doctoral students in engineering education research. The aim of the workshop is to contribute to the capacity for peer review among the engineering education research community, and to seek consensus or at least improved understanding of any tensions.
Non peer reviewed
peer-review, Journal, generative AI, Peer Review, Generative AI, engineering education research, editorial process, journal, Editorial Process, Engineering Education Research
peer-review, Journal, generative AI, Peer Review, Generative AI, engineering education research, editorial process, journal, Editorial Process, Engineering Education Research
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
