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Seana Chaves; Valerie Lee; Sarah Morris; Ann Reinecke; Austin Tome – Learning Assistance Review, 2023
In response to the COVID-19 crisis, embedded tutoring became a popular model to address the need for additional student support in higher education. Four U.S. community colleges collaborated to develop a successful embedded tutoring model that provides a framework and definition for embedded tutoring and training for tutors and participating…
Descriptors: Tutoring, Models, Community Colleges, Training
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Aleven, Vincent; Roll, Ido; McLaren, Bruce M.; Koedinger, Kenneth R. – Educational Psychologist, 2010
Assessment of students' self-regulated learning (SRL) requires a method for evaluating whether observed actions are appropriate acts of self-regulation in theEv specific learning context in which they occur. We review research that has resulted in an automated method for context-sensitive assessment of a specific SRL strategy, help seeking while…
Descriptors: Feedback (Response), Help Seeking, Intelligent Tutoring Systems, Tutoring
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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
Rau, Martina A.; Pardos, Zachary A. – International Educational Data Mining Society, 2012
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to…
Descriptors: Intelligent Tutoring Systems, Mathematics, Knowledge Level, Scheduling
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Baker, Ryan S. J. D.; Goldstein, Adam B.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Intelligent tutors have become increasingly accurate at detecting whether a student knows a skill, or knowledge component (KC), at a given time. However, current student models do not tell us exactly at which point a KC is learned. In this paper, we present a machine-learned model that assesses the probability that a student learned a KC at a…
Descriptors: Intelligent Tutoring Systems, Mastery Learning, Probability, Knowledge Level
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Blessing, Stephen B.; Gilbert, Stephen B.; Ourada, Stephen; Ritter, Steven – International Journal of Artificial Intelligence in Education, 2009
Intelligent Tutoring Systems (ITSs) that employ a model-tracing methodology have consistently shown their effectiveness. However, what evidently makes these tutors effective, the cognitive model embedded within them, has traditionally been difficult to create, requiring great expertise and time, both of which come at a cost. Furthermore, an…
Descriptors: Intelligent Tutoring Systems, Cognitive Processes, Models, Expertise
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Ashcroft, Cheryl A. – 1993
This independent learning packet, which is intended for adult literacy tutors, reviews the literature regarding adults with learning disabilities. The packet begins with a learning disabilities pretest. Presented next is the literature review, which includes information on the following aspects of learning disabilities: definition and historical…
Descriptors: Academic Accommodations (Disabilities), Academic Achievement, Academic Aptitude, Adult Basic Education
Bender, David S.; And Others – 1994
This paper describes the history, characteristics, program model, activities, and evaluation results of the Pottstown Homework Center Partnership project, in Pottstown County, Pennsylvania. The goal of the program is to initiate homework centers and train volunteer tutors from the community to support the at-risk middle students by providing…
Descriptors: Academic Achievement, Elementary School Students, Extracurricular Activities, High Risk Students
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