Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…

This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…

How can we learn to use properly business software, digital environments, games or intelligent tutoring systems (ITS)? Mainly, we assume that the new user will learn by doing. But what about the efficiency of such a method? Our approach proposes an answer by introducing on-line coaching. In learning process, learners may need guidance to help them…

Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…

Predicting the success or failure of a student in a course or program is a problem that has recently been addressed using data mining techniques. In this paper we evaluate some of the most popular classification and regression algorithms on this problem. We address two problems: prediction of approval/failure and prediction of grade. The former is…

With the demand for a demonstration of continuous progress as an accountability gauge in public schools, teachers are compelled to examine assessment data for each of their pupils. This data analysis, in turn, should help teachers gauge their instructional practices and differentiate instruction so that all can reach proficient levels of…

A key component to the new wave of performance-based pay initiatives is the use of student achievement data to evaluate teacher performance. As greater amounts of student achievement data are being collected, researchers have been developing and applying innovative statistical and econometric models to longitudinal data to develop measures of an…

Large-scale surveys of educational attainment gather data about the proficiencies of a sample of students to support inferences about the distribution in the populations. Several approaches to gathering data have been used, each with its own advantages and disadvantages. Several scales have also been used to bring results together from different…

Discusses three interlocking areas associated with effectively and accurately conveying information about school performance to the public: (1) graphical display; (2) nonrandomly gathered data; and (3) statistical adjustment. Illustrates these points with historical data, including test results from the National Assessment of Educational Progress…

Under the sponsorship of the National Science Foundation, 22 urban school districts have been involved in a long-term educational reform through the Urban Systemic Initiative (USI) program since 1994. This paper presents a brief summary of findings regarding best policies and practices in the educational reform effort focusing on student…

The study involved implementing and evaluating activities that actively engage students in the process of gathering, processing and analyzing data derived from human body measurements, with students using their prior knowledge acquired in science, mathematics, and computer classes to interpret this information. In the classroom activities…

Unless questions about student performance and student retention can be answered and unless educators are proactive in finding and publicizing such information, basic writing programs cannot determine if what they are doing is working. Hard data, especially from underrepresented groups, is needed to support these programs. At Arizona State…

Increasingly, a majority of postsecondary students are following nonlinear paths in the pursuit of educational and career goals. Practical steps are described that can be taken to track and evaluate the success of such students. A particularly promising practice involves data sharing and exchanges with state agencies and other higher education…

This paper deals with the history and practices of the language assessment policy being used by the state of Illinois' transitional bilingual education programs serving over 42,000 students. The first section of the paper treats the history of bilingual program evaluation efforts. It divides the discussion into three periods, prior to 1976, from…

Although the field of statistics is receiving increasing recognition in the media and everyday life, concern continues about the quality of statistical education and statistical analysis and the application of statistical methods. This paper focuses on three areas of concern: (1) the quality of data, especially missing data; (2) the interpretation…