This retrospective study evaluates early semester predictors of whether or not community college students will successfully complete blended or hybrid courses. These predictors are available to faculty by the fourth week of the semester. Success is defined as receiving a grade of C- or higher. Failure is defined as a grade below a C- or a…

Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…

This study considered whether delivery modality, student GPA, or time since high school affected whether 290 students who had completed a developmental math series as a community college were able to successfully complete college-level math. The data used in the study was comprised of a 4-year period historical student data from Odessa College…

Maximizing training efficiency is desirable in many areas of business. The ever increasing costs of flight training combined with a predicted shortage of pilots have resulted in steps being taken to improve flight training efficiency. In the past, the majority of airline pilots received their flight training in the military. Over time a growing…

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…