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Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
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…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
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…
Descriptors: Science Instruction, Prediction, Models, Interaction
Wakelam, Edward; Jefferies, Amanda; Davey, Neil; Sun, Yi – British Journal of Educational Technology, 2020
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…
Descriptors: Academic Achievement, At Risk Students, Data Analysis, Identification
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
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…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
Ownby, Raymond L.; Czaja, Sara J.; Loewenstein, David; Rubert, Mark – Gerontologist, 2008
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…
Descriptors: Cognitive Ability, Computer Assisted Instruction, Success, Computer Simulation
Scheuneman, Janice Dowd; And Others – 1996
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…
Descriptors: Case Method (Teaching Technique), Case Studies, Computer Assisted Instruction, Computer Simulation
International Association for Development of the Information Society, 2012
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…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers