This study explores the social nature of learning and discusses its implications for student assessment. To this end, we analyzed a sample of unique first-hand accounts of students seeking help with academic work, relying on the grounded theory approach for the identification of incentives for academic support (n = 807), and used time-series…

As a result of the pandemic, many physics courses moved online. Alongside, the popularity of Internet-based problem-solving sites and forums rose. With the emergence of large language models, another shift occurred. One year into the public availability of these models, how has online help-seeking behavior among introductory physics students…

Academic integrity constitutes a cornerstone of higher education, epitomising values such as honesty, trust, fairness, respect, and responsibility. However, breaches in academic integrity persist among nursing students. Current responses to breaches predominantly adopt reactive and punitive measures, lacking proactive initiatives that cultivate…

This study investigates the possibility that social networking sites in China are used to exchange information about the use of unfair means in university assignments. It presents a thematic analysis of 303 messages posted between September 2016 and September 2017, on a group set up on Douban for Sheffield University students. It also draws on…

This paper offers support that those students who felt they had stronger reasons for committing unethical academic behaviors are more likely to report committing academic dishonesty than those who felt they had weaker reasons for unethical academic behaviors. This relationship held for all four categories of academic dishonesty: cheating (on…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…