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Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2016
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Reading Strategies, Content Area Writing
Heffernan, Neil T.; Ostrow, Korinn S.; Kelly, Kim; Selent, Douglas; Van Inwegen, Eric G.; Xiong, Xiaolu; Williams, Joseph Jay – Grantee Submission, 2016
Due to substantial scientific and practical progress, learning technologies can effectively adapt to the characteristics and needs of students. This article considers how learning technologies can adapt over time by crowdsourcing contributions from teachers and students -- explanations, feedback, and other pedagogical interactions. Considering the…
Descriptors: Artificial Intelligence, Educational Technology, Student Needs, Electronic Publishing
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Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
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Zhang, Lishan; VanLehn, Kurt – Interactive Learning Environments, 2017
The paper describes a biology tutoring system with adaptive question selection. Questions were selected for presentation to the student based on their utilities, which were estimated from the chance that the student's competence would increase if the questions were asked. Competence was represented by the probability of mastery of a set of biology…
Descriptors: Biology, Science Instruction, Intelligent Tutoring Systems, Probability
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2017
Collaborative and individual learning are both frequently used in classrooms to support learning. However, little research has investigated the benefits of combining individual and collaborative learning, as compared to learning only individually or only collaboratively. With our study, we address this research gap. We compared a combined…
Descriptors: Cooperative Learning, Grade 4, Grade 5, Elementary School Students
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Kim, Du Gyu; Lee, Jaemu – Informatics in Education, 2013
In this paper, we propose the development of a web-based, intelligent instruction system to help elementary school students for mathematical computation. We concentrate on the intelligence facilities which support diagnosis and advice. The existing web-based instruction systems merely give information on whether the learners' replies are…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Computation, Web Based Instruction
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Pelánek, Radek; Jarušek, Petr – International Journal of Artificial Intelligence in Education, 2015
Student modeling in intelligent tutoring systems is mostly concerned with modeling correctness of students' answers. As interactive problem solving activities become increasingly common in educational systems, it is useful to focus also on timing information associated with problem solving. We argue that the focus on timing is natural for certain…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Interaction, Problem Solving
McNamara, Danielle S.; Jacovina, Matthew E.; Snow, Erica L.; Allen, Laura K. – Grantee Submission, 2015
Work in cognitive and educational psychology examines a variety of phenomena related to the learning and retrieval of information. Indeed, Alice Healy, our honoree, and her colleagues have conducted a large body of groundbreaking research on this topic. In this article we discuss how 3 learning principles (the generation effect, deliberate…
Descriptors: Learning Processes, Instructional Design, Intelligent Tutoring Systems, Writing Instruction
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Ma, Wenting; Adesope, Olusola O.; Nesbit, John C.; Liu, Qing – Journal of Educational Psychology, 2014
Intelligent Tutoring Systems (ITS) are computer programs that model learners' psychological states to provide individualized instruction. They have been developed for diverse subject areas (e.g., algebra, medicine, law, reading) to help learners acquire domain-specific, cognitive and metacognitive knowledge. A meta-analysis was conducted on…
Descriptors: Intelligent Tutoring Systems, Outcomes of Education, Meta Analysis, Individualized Instruction
Bell, Herbert H.; Reigeluth, Charles M. – Educational Technology, 2014
All branches of the U.S. military are moving toward education and training that is tailored to meet individuals' needs wherever they are and whenever they are ready to learn. The result will be a culture of continuous, personalized learning with learner progress that is based on proficiency and a greater emphasis on technology-enabled immersive…
Descriptors: Military Training, Military Service, Educational Change, Individualized Instruction
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Kelly, Kim; Heffernan, Neil; Heffernan, Cristina; Goldman, Susan; Pellegrino, James; Soffer-Goldstein, Deena – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
Much debate surrounds the effectiveness of the common educational practice of homework (Cooper et al., 2006). A randomized-controlled trial has shown that using a web-based homework system that provides immediate feedback to students, while they are doing their mathematics homework, and detailed item reports to teachers significantly improves…
Descriptors: Homework, Mathematics Instruction, Educational Technology, Technology Uses in Education
Lee, Jung In; Brunskill, Emma – International Educational Data Mining Society, 2012
When modeling student learning, tutors that use the Knowledge Tracing framework often assume that all students have the same set of model parameters. We find that when fitting parameters to individual students, there is significant variation among the individual's parameters. We examine if this variation is important in terms of instructional…
Descriptors: Intelligent Tutoring Systems, Tutors, Tutoring, Regression (Statistics)
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Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2016
Intelligent Tutoring Systems (ITSs) are beneficial for individual students learning in several domains, including mathematics where they have been used to support both secondary and elementary students. Collaborative learning may be beneficial to include in ITSs, particularly for conceptual knowledge. There is little work on collaborative ITSs,…
Descriptors: Intelligent Tutoring Systems, Cooperative Learning, Elementary School Students, Elementary School Mathematics
Cao, Bingyi; Esponda-Argüero, Margarita; Rojas, Raúl – International Association for Development of the Information Society, 2016
In order to reduce the passivity of students and enhance their learning experience in large lectures, we developed a browser-based tool called Classroom Interacter to promote classroom interaction. It allows students to use their own mobile devices to participate in the learning process. The main features of Classroom Interacter include live…
Descriptors: Classroom Communication, Classroom Techniques, Learning Experience, Learning Processes
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Graham, Deryn – E-Learning and Digital Media, 2018
There is a growing prevalence in the use of digital media for education management and international partnerships; however, research continues to reflect the position that the absence of social interaction is a major barrier to a positive on-line learning experience. In 2007, a paper described the application of PESTE (Political, Economic, Social,…
Descriptors: Courseware, Electronic Learning, Educational Administration, Educational Technology
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