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Hatchett-Jackson, Daia C. – ProQuest LLC, 2013
The research study site is a private, coeducational university located in the Midwest on a small but growing campus that has successfully transitioned from traditional seated students to a mixture of seated and online students from around the world. Two categories of interest to the university are graduate students' writing skills and the…
Descriptors: Action Research, Graduate Students, Writing (Composition), Writing Skills
Booth, Julie L.; Koedinger, Kenneth R.; Newton, Kristie J.; Lange, Karin E. – Society for Research on Educational Effectiveness, 2013
A plethora of laboratory studies have shown that including the study of worked examples during problem-solving practice improves learning (Sweller, 1999; Sweller & Cooper, 1985). While most worked-example research focuses on the use of correct examples, recent work suggests that asking children to explain a combination of correct and incorrect…
Descriptors: Individualized Instruction, Middle School Students, Grade 8, Algebra
Snow, Erica L. – International Educational Data Mining Society, 2015
Intelligent tutoring systems are adaptive learning environments designed to support individualized instruction. The adaptation embedded within these systems is often guided by user models that represent one or more aspects of students' domain knowledge, actions, or performance. The proposed project focuses on the development and testing of user…
Descriptors: Intelligent Tutoring Systems, Models, Individualized Instruction, Needs Assessment
Lang, Charles; Heffernan, Neil; Ostrow, Korinn; Wang, Yutao – International Educational Data Mining Society, 2015
For at least the last century researchers have advocated the use of student confidence as a form of educational assessment and the growth of online and mobile educational software has made the implementation of this measurement far easier. The following short paper discusses our first study of the dynamics of student confidence in an online math…
Descriptors: Educational Assessment, Intelligent Tutoring Systems, Self Esteem, Mathematics Instruction
Wijekumar, Kausalai; Meyer, Bonnie J. F.; Lei, Puiwa – Journal of Educational Psychology, 2017
Reading comprehension in the content areas is a challenge for many middle grade students. Text structure-based instruction has yielded positive outcomes in reading comprehension at all grade levels in small and large studies. The text structure strategy delivered via the web, called Intelligent Tutoring System for the Text Structure Strategy…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Pretests Posttests, Web Based Instruction
Wijekumar, Kausalai; Meyer, Bonnie J. F.; Lei, Puiwa; Cheng, Weiyi; Ji, Xuejun; Joshi, R. M. – Journal of Educational Computing Research, 2017
Reading and comprehending content area texts require learners to effectively select and encode with hierarchically strategic memory structures in order to combine new information with prior knowledge. Unfortunately, evidence from state and national tests shows that children fail to successfully navigate the reading comprehension challenges they…
Descriptors: Evidence, Intelligent Tutoring Systems, Memory, Expository Writing
Viera, Julian; Kosheleva, Olga M. – AERA Online Paper Repository, 2017
Studies which investigate "translanguaging," best practices, and literacy in teaching mathematics for English Language Learners (ELLs) is common in the educational literature. Studies on how ELLs self-efficacy are affected by online cognitive tutors are not common, and there is even less research on how ELLs engage with technology in an…
Descriptors: English Language Learners, English (Second Language), Equal Education, Educational Opportunities
Eranki, Kiran L. N.; Moudgalya, Kannan M. – Educational Technology & Society, 2016
In this work, we study the effectiveness of a method called Spoken Tutorial, which is a candidate technique for self-learning. The performance of college students who self-learned Java through the Spoken Tutorial method is found to be better than that of conventional learners. Although the method evaluated in this work helps both genders, females…
Descriptors: Comparative Analysis, Instructional Effectiveness, Blended Learning, Independent Study
Allen, Pamela; Withey, Paul; Lawton, Deb; Aquino, Carlos Tasso – Journal of Educational Technology, 2016
The aim of this study was to provide a reflection of current trends in higher education, identify some of the changes in student behavior, and potential identification of non-traditional classroom facilitation with the purpose of strengthening active learning and use of technology in the classroom. Non-traditional teaching is emerging in the form…
Descriptors: Andragogy, Teaching Methods, Nontraditional Students, Learner Engagement
Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
Gonzalez-Brenes, Jose P.; Mostow, Jack – International Educational Data Mining Society, 2012
This work describes a unified approach to two problems previously addressed separately in Intelligent Tutoring Systems: (i) Cognitive Modeling, which factorizes problem solving steps into the latent set of skills required to perform them; and (ii) Student Modeling, which infers students' learning by observing student performance. The practical…
Descriptors: Intelligent Tutoring Systems, Academic Achievement, Bayesian Statistics, Tutors
Sudol, Leigh Ann; Rivers, Kelly; Harris, Thomas K. – International Educational Data Mining Society, 2012
In complex problem solving domains, correct solutions are often comprised of a combination of individual components. Students usually go through several attempts, each attempt reflecting an individual solution state that can be observed during practice. Classic metrics to measure student performance over time rely on counting the number of…
Descriptors: Problem Solving, Tutors, Feedback (Response), Probability
Wang, Yutao; Heffernan, Neil T. – International Educational Data Mining Society, 2012
The field of educational data mining has been using the Knowledge Tracing model, which only look at the correctness of student first response, for tracking student knowledge. Recently, lots of other features are studied to extend the Knowledge Tracing model to better model student knowledge. The goal of this paper is to analyze whether or not the…
Descriptors: Reaction Time, Students, Knowledge Level, Models
Hafidi, Mohamed; Bensebaa, Tahar – International Journal of Information and Communication Technology Education, 2014
Several adaptive and intelligent tutoring systems (AITS) have been developed with different variables. These variables were the cognitive traits, cognitive styles, and learning behavior. However, these systems neglect the importance of the learner's multiple intelligences, the learner's skill level and the learner's feedback when implementing…
Descriptors: Intelligent Tutoring Systems, Models, Foreign Countries, Pretests Posttests

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