NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ming-Chi Tseng – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…
Descriptors: Monte Carlo Methods, Predictor Variables, Research Methodology, Test Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Käser, Tanja; Schwartz, Daniel L. – International Journal of Artificial Intelligence in Education, 2020
Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning behavior becomes especially important, when dealing with open-ended exploration environments,…
Descriptors: Inquiry, Learning Strategies, Outcomes of Education, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
de Zubicaray, Greig I.; Arciuli, Joanne; Kearney, Elaine; Guenther, Frank; McMahon, Katie L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English;…
Descriptors: Language Processing, Psychomotor Skills, English, Predictor Variables
Ostrow, Korinn; Donnelly, Chistopher; Heffernan, Neil – International Educational Data Mining Society, 2015
As adaptive tutoring systems grow increasingly popular for the completion of classwork and homework, it is crucial to assess the manner in which students are scored within these platforms. The majority of systems, including ASSISTments, return the binary correctness of a student's first attempt at solving each problem. Yet for many teachers,…
Descriptors: Intelligent Tutoring Systems, Scoring, Testing, Credits
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zamarro, Gema; Anderson, Kaitlin; Steele, Jennifer; Miller, Trey – Society for Research on Educational Effectiveness, 2016
The purpose of this study is to study the performance of different methods (inverse probability weighting and estimation of informative bounds) to control for differential attrition by comparing the results of different methods using two datasets: an original dataset from Portland Public Schools (PPS) subject to high rates of differential…
Descriptors: Data Analysis, Student Attrition, Evaluation Methods, Evaluation Research
Peer reviewed Peer reviewed
Direct linkDirect link
Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
Peer reviewed Peer reviewed
Direct linkDirect link
Wolf-Branigin, Michael; Duke, Jerry – Research on Social Work Practice, 2007
This study investigates successful completion at a faith-based organization providing residential substance abuse treatment services. Method: The authors apply a complex systems paradigm using a single moderator variable. The participants are primarily African Americans and most have current criminal justice involvement. Probabilities of treatment…
Descriptors: Substance Abuse, Probability, Predictor Variables, Religious Factors
Peer reviewed Peer reviewed
Damerau, Fred J. – Information Processing and Management, 1993
Examines the use of various statistical techniques for generating domain-oriented multiword vocabulary terms for natural language database systems. Conclusions show the vocabulary clustering effect should be considered when making significance calculations and that a simple ratio of subject matter relative frequency to total sample relative…
Descriptors: Automatic Indexing, Cluster Analysis, Comparative Analysis, Database Design
Peer reviewed Peer reviewed
Direct linkDirect link
Wolf, Elaine M.; Sowards, Kathryn A.; Wolf, Douglas A. – Journal of Offender Rehabilitation, 2003
This paper presents the results of a discrete-time event-history analysis of the relationships between client and program characteristics and the length and outcome of participation in a drug court program. We identify factors associated with both successful completion and premature termination. Having an African-American case manager, being…
Descriptors: Correctional Rehabilitation, Caseworker Approach, Law Enforcement, Court Litigation
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