Many of the decisions made related to student progress and intervention selection rely on data. In their roles, paraeducators often implement academic interventions; therefore, they must be prepared to monitor students' progress accurately and reliably. This pilot randomized control trial tested the effects of a remote training package on…

The use of group work projects is common in introductory statistics courses, including projects where students collect their own data. However, the COVID-induced lockdown at the start of 2020 meant that data collection was compromised. In this study, we examine a situation where students were permitted to use artificial (made-up) data for their…

This technical assistance paper provides policy and guidance to individuals with test administration responsibilities in adult education programs. The Florida assessment policies and guidelines presented in this technical assistance paper are appropriate for state and federal reporting. Therefore, guidance and procedures regarding the selection…

These proceedings contain the papers of the International Conference e-Learning 2018, which was organised by the International Association for Development of the Information Society, 17-19 July, 2018. This conference is part of the Multi Conference on Computer Science and Information Systems 2018, 17-20 July, which had a total of 617 submissions.…

The purpose of this study was to compare differences in methods of testing for two undergraduate online courses to determine the effect of alternate test formats in relation to participant grades. Specific purposes of this study were to determine whether a difference existed in student test scores between the control and treatment groups and…

Monitoring the learning process in computer supported collaborative learning (CSCL) environments is a key element for supporting the efficacy of tutor actions. This article proposes an approach for analysing learning processes in a CSCL environment to support tutors in their monitoring tasks. The approach entails tracking the interactions within…

This description of a project offering live television transmissions as an addition to the University of Regina's (Saskatchewan, Canada) distance education system includes: (1) an introduction; (2) a description of and rationale for the evaluation model used; (3) a description of the data collection process; (4) a summary of the findings; and (5)…

Student behavior analysis is an active research topic in distance education in recent years. In this article, we propose a new method called Boosting to investigate students' behaviors. The Boosting Algorithm can be treated as a data mining method, trying to infer from a large amount of training data the essential factors and their relations that…

Common factors among high-performing distance learning (DL) programs were examined through case studies at 9 further education colleges and 2 nonsector organizations in the United Kingdom and a backup survey of a sample of 50 distance learners at 5 of the colleges. The study methodology incorporated numerous principles of process benchmarking. The…