The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…

Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…

The measurement of student performance during their progress through university study provides academic leadership with critical information on each student's likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those "at risk" of…

In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…

Purpose: The purposes of this study were (a) to identify cognitive abilities and other factors related to successful completion of training for computer-based tasks that simulated real jobs and (b) to create a brief assessment battery useful in assessing older adults for these kinds of jobs. Design and Methods: Participants from three age groups…

Using a university-owned computer, English secondary schools participate in a game to stabilise the course of their "nation's" economy over a 20 year period. Information provided to participating students is included in the article. (JH)

A sample of 974 school districts was surveyed by mail to determine the current and projected use of computers in United States public secondary/elementary schools, with special reference to computer assisted learning. Returned questionnaires provided a 62.3 percent response rate, and were balanced both geographically and by urban/rural…

This study investigated the characteristics of Computer-based Case Simulations (CCS) that may be associated with case difficulty. Difficulty was defined as the average rating by physicians of examinee performance on a nine-point scale or the passing rate on the cases. Two data sets were used, one from an administration of 18 cases to 201 medical…

The purpose of the study was to identify differences in cognitive skills associated with differing rates of predictive reasoning success for high school biology students, to determine possible correlations between predictive success and cognitive operational level, and to assess whether directed practice facilitated problem-solving success. The…

In this first of three volumes, issues related to the prediction of the potential effectiveness of a simulator training device are reviewed, and the methods used to analyze effectiveness are discussed. The Army, which uses simulator devices for performance based weapons training, has used a process linked to the Life Cycle System Management Model…

This report describes an analytic training Device Effectiveness Forecasting Technique known as DEFT. DEFT accounts for device effectivness in terms of several different criteria and classes of independent predictor variables. In its present form, DEFT is a series of interactive, menu-driven computer programs that provide for three levels of device…

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…