Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…

Peer assessment has been increasingly integrated in educational settings as a strategy to foster student learning. Yet little has been studied about how students at different learning levels may benefit from peer assessment. This study examined how peer-assessment and students' learning levels influenced students' project performance using a…

One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…

We present a method for assessing science inquiry performance, specifically for the inquiry skill of designing and conducting experiments, using educational data mining on students' log data from online microworlds in the Inq-ITS system (Inquiry Intelligent Tutoring System; www.inq-its.org). In our approach, we use a 2-step process: First we use…

This paper reports the findings of an exploratory study concerning the development of higher-order conceptual understanding of Teaching Games for Understanding (TGfU) among physical education pre-service teachers. The development of such understandings has been seen as problematic among pre-service teachers (Randall, 2003). An analysis of the…

Reviews the state of the art in performance measures and assessment processes in program evaluation before the passage of the Government Performance and Results Act (GPRA), and discusses difficulties in fitting these practices into the GPRA format. Presents a simple logic model for evaluating research programs. (SLD)

The strategic learning of college and university students begins with their acquisition of knowledge about their academic context and its learning opportunities and demands. However, traditional assessment measures isolate the student outside of the authentic learning context, which limits the information available from these tests. In contrast,…

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…

The Wisconsin Department of Public Instruction has contracted with the Wisconsin Center for Education Research to develop and field test performance assessments in mathematics, language arts, and science. Together with a Wisconsin-developed knowledge and concepts test, the new performance assessments will provide important information about the…

The model presented in this document integrates authentic assessment with traditional evaluation practices to create comprehensive assessment systems for elementary and secondary school students. Specifically, the model poses six categories of competencies that enjoy high levels of acceptance and construct validity: (1) knowledge of concepts,…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…