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Christopher Garrido Lechuga – ProQuest LLC, 2024
Adaptive tutoring systems often model student knowledge in ways that break away from a "one size fits all" approach to learning. Nonetheless, the strengths of these systems can often be limited, as knowledge representations are not easily interpreted by teachers, which make these systems difficult to integrate into pedagogical practices.…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Mathematics Skills, Educational Innovation
VanLehn, Kurt; Burkhardt, Hugh; Cheema, Salman; Kang, Seokmin; Pead, Daniel; Schoenfeld, Alan; Wetzel, Jon – Interactive Learning Environments, 2021
Mathematics is often taught by explaining an idea, then giving students practice in applying it. Tutoring systems can increase the effectiveness of this method by monitoring the students' practice and giving feedback. However, math can also be taught by having students work collaboratively on problems that lead them to discover the idea. Here,…
Descriptors: Intelligent Tutoring Systems, Cooperative Learning, Mathematics Instruction, Instructional Effectiveness
Karumbaiah, Shamya; Lizarralde, Rafael; Allessio, Danielle; Woolf, Beverly; Arroyo, Ivon; Wixon, Naomi – International Educational Data Mining Society, 2017
We present results of a randomized controlled study that compared different types of affective messages delivered by pedagogical agents. We used animated characters that were empathic and emphasized the malleability of intelligence and the importance of effort. Results showed significant correlations between students who received more…
Descriptors: Affective Behavior, Empathy, Correlation, Mathematics Skills
Crossley, Scott; Kyle, Kristopher; Davenport, Jodi; McNamara, Danielle S. – International Educational Data Mining Society, 2016
This study introduces the Constructed Response Analysis Tool (CRAT), a freely available tool to automatically assess student responses in online tutoring systems. The study tests CRAT on a dataset of chemistry responses collected in the ChemVLab+. The findings indicate that CRAT can differentiate and classify student responses based on semantic…
Descriptors: Intelligent Tutoring Systems, Chemistry, Natural Language Processing, High School Students
Chin, Doris B.; Blair, Kristen P.; Wolf, Rachel C.; Conlin, Luke D.; Cutumisu, Maria; Pfaffman, Jay; Schwartz, Daniel L. – Journal of the Learning Sciences, 2019
Educators aim to equip students with learning strategies they can apply when approaching new problems on their own. Teaching design-thinking strategies may support this goal. A first test would show that the strategies are good for learning and that students spontaneously transfer them beyond classroom instruction. To examine this, we introduce…
Descriptors: Problem Solving, Learning Strategies, Teaching Methods, Design
Stefan Ruseti; Mihai Dascalu; Amy M. Johnson; Renu Balyan; Kristopher J. Kopp; Danielle S. McNamara – Grantee Submission, 2018
This study assesses the extent to which machine learning techniques can be used to predict question quality. An algorithm based on textual complexity indices was previously developed to assess question quality to provide feedback on questions generated by students within iSTART (an intelligent tutoring system that teaches reading strategies). In…
Descriptors: Questioning Techniques, Artificial Intelligence, Networks, Classification
Thille, Candace; Schneider, Emily; Kizilcec, RenĂ© F.; Piech, Christopher; Halawa, Sherif A.; Greene, Daniel K. – Research & Practice in Assessment, 2014
The article addresses the question of how the assessment process with large-scale data derived from online learning environments will be different from the assessment process without it. Following an explanation of big data and how it is different from previously available learner data, we describe three notable features that characterize…
Descriptors: Data, Online Courses, Electronic Learning, Case Studies
Forsyth, Carol; Pavlik, Philip, Jr.; Graesser, Arthur C.; Cai, Zhiqiang; Germany, Mae-lynn; Millis, Keith; Dolan, Robert P.; Butler, Heather; Halpern, Diane – International Educational Data Mining Society, 2012
"OperationARIES!" is an Intelligent Tutoring System that teaches scientific inquiry skills in a game-like atmosphere. Students complete three different training modules, each with natural language conversations, in order to acquire deep-level knowledge of 21 core concepts of research methodology (e.g., correlation does not mean…
Descriptors: Learning, Cognitive Processes, Logical Thinking, Scientific Methodology
Forsyth, Carol M.; Graesser, Arthur C.; Pavlik, Philip, Jr.; Cai, Zhiqiang; Butler, Heather; Halpern, Diane; Millis, Keith – Journal of Educational Data Mining, 2013
Operation ARIES! is an Intelligent Tutoring System that is designed to teach scientific methodology in a game-like atmosphere. A fundamental goal of this serious game is to engage students during learning through natural language tutorial conversations. A tight integration of cognition, discourse, motivation, and affect is desired to meet this…
Descriptors: Intelligent Tutoring Systems, Scientific Methodology, Science Instruction, Educational Games
Beal, Carole R.; Arroyo, Ivon M.; Cohen, Paul R.; Woolf, Beverly P. – Journal of Interactive Online Learning, 2010
Three studies were conducted with middle school students to evaluate a web-based intelligent tutoring system (ITS) for arithmetic and fractions. The studies involved pre and post test comparisons, as well as group comparisons to assess the impact of the ITS on students' math problem solving. Results indicated that students improved from pre to…
Descriptors: Mathematics Skills, Arithmetic, Summer Programs, Constructivism (Learning)
Kim, Chung On – ProQuest LLC, 2010
Many people in general think that digital game environment has potential as a learning environment. However, empirical research in digital game environment and education is a still relative young field, so to create a digital learning environment where students are actively engaged in the learning process is a great challenge. In part, it has been…
Descriptors: Learning Theories, Intelligent Tutoring Systems, Educational Environment, Educational Games
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the 13th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2016), October 28-30, 2016, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by the University of Mannheim, Germany, and endorsed by the…
Descriptors: Conferences (Gatherings), Foreign Countries, Constructivism (Learning), Technological Advancement
Empirical Education Inc., 2010
Odyssey Reading, published by CompassLearning, is a comprehensive reading/language arts program using adaptive software for core instruction. This is the first study of CompassLearning's Odyssey Reading (CLO) in PUSD and was based on data from the school years 2006-2008. For this study, Odyssey Reading was implemented in reading classes in grades…
Descriptors: Program Effectiveness, Literacy, Scores, Reading Instruction
Chung, Gregory K. W. K.; Delacruz, Girlie C.; Dionne, Gary B.; Baker, Eva L.; Lee, John; Osmundson, Ellen – Online Submission, 2007
In this study we explored the effectiveness of individualizing instruction using a system that diagnosed students' knowledge gaps in pre-algebra and provided individualized instruction and practice. One hundred middle school students participated, and received either no instruction or individualized computer-based instruction. Diagnosis of…
Descriptors: Mathematical Concepts, Intelligent Tutoring Systems, Identification, Effect Size
Kim, Julia M.; Hill, Randall W., Jr.; Durlach, Paula J.; Lane, H. Chad; Forbell, Eric; Core, Mark; Marsella, Stacy; Pynadath, David; Hart, John – International Journal of Artificial Intelligence in Education, 2009
Negotiation skills are essential in everyday life, whether in a professional or personal context. Negotiation enables two parties to address misunderstandings and avoid conflicts through an exchange that depends as much on the interpersonal skills of the negotiators as the tactics employed. Acquiring these skills requires not only sound conceptual…
Descriptors: Foreign Countries, Concept Formation, Cultural Context, Intelligent Tutoring Systems