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Direct linkZhou, Jianing; Bhat, Suma – Grantee Submission, 2021
Consistency of learning behaviors is known to play an important role in learners' engagement in a course and impact their learning outcomes. Despite significant advances in the area of learning analytics (LA) in measuring various self-regulated learning behaviors, using LA to measure consistency of online course engagement patterns remains largely…
Descriptors: Models, Online Courses, Learner Engagement, Learning Processes
Gibson, David; Clarke-Midura, Jody – International Association for Development of the Information Society, 2013
The rise of digital game and simulation-based learning applications has led to new approaches in educational measurement that take account of patterns in time, high resolution paths of action, and clusters of virtual performance artifacts. The new approaches, which depart from traditional statistical analyses, include data mining, machine…
Descriptors: Psychometrics, Educational Games, Educational Research, Data Collection
Lukaš, Mirko; Leškovic, Darko – Online Submission, 2007
This study describes one of possible way of usage ICT in education system. We basically treated educational system like Business Company and develop appropriate model for clustering of student population. Modern educational systems are forced to extract the most necessary and purposeful information from a large amount of available data. Clustering…
Descriptors: Educational Technology, Technology Uses in Education, Business, Models
Nokelainen, Petri; Ruohotie, Pekka – 2000
This examination of data selection preceding multivariate analysis compares results grained with "gentle" and "draconian" variable elimination. To acquire comparable results, two stages of statistical exploration into an integrated model of motivation, learning strategies, and quality of teaching were used. The goal of the…
Descriptors: Bayesian Statistics, Data Collection, Employees, Foreign Countries
Ruohotie, Pekka; Nokelainen, Petri; Tirri, Henry; Silander, Tomi – 2000
This study examined the data selection process preceding multivariate analysis for a data set measuring student motivation and self-regulated learning. Data were 138 responses to a questionnaire on motivation and self-regulated learning, adapted for Finnish students. The first goal was to compare the results gained with "gentle" and…
Descriptors: Bayesian Statistics, Data Collection, Foreign Countries, Multivariate Analysis
Luan, Jing – Online Submission, 2004
This explorative data mining project used distance based clustering algorithm to study 3 indicators, called OIndex, of student behavioral data and stabilized at a 6-cluster scenario following an exhaustive explorative study of 4, 5, and 6 cluster scenarios produced by K-Means and TwoStep algorithms. Using principles in data mining, the study…
Descriptors: Educational Strategies, Evaluation Methods, Student Behavior, College Students
