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Aguerrebere, Cecilia; Cobo, Cristóbal; Whitehill, Jacob – International Educational Data Mining Society, 2018
When implementing large-scale educational computing initiatives (e.g., One Laptop Per Child) it is vital to allocate resources for training, support, and device deployment judiciously. One question that arises is how learners' engagement with online educational resources is affected by receiving a new computer; do the benefits justify the costs?…
Descriptors: Management Systems, Foreign Countries, Resource Allocation, Learner Engagement
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Fang, Ying; Shubeck, Keith; Lippert, Anne; Cheng, Qinyu; Shi, Genghu; Feng, Shi; Gatewood, Jessica; Chen, Su; Cai, Zhiqiang; Pavlik, Philip; Frijters, Jan; Greenberg, Daphne; Graesser, Arthur – International Educational Data Mining Society, 2018
A common goal of Intelligent Tutoring Systems (ITS) is to provide learning environments that adapt to the varying abilities and characteristics of users. To do this, researchers must identify the learning patterns exhibited by those interacting with the system. In the present work, we use clustering analysis to capture learning patterns in over…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Adult Literacy
Jessica N. Jones – ProQuest LLC, 2018
Research has shown that early intervention can help change a student's trajectory, helping them become more successful in school and decreasing the likelihood that they will leave school before receiving their high school diploma. Because African-American students fare worse than their peers on early reading assessments, they are the focus of this…
Descriptors: African American Students, Grade 2, Intervention, Cultural Awareness
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Khemaja, Maha; Taamallah, Aroua – Educational Technology & Society, 2016
Current advances in portable devices and wireless technologies had drastically impacted mobile and pervasive computing development and use. Nowadays, mobile and or pervasive applications, are increasingly being used to support users' everyday activities. These apps either distributed or standalone are characterized by the variability of the…
Descriptors: Technology Uses in Education, Educational Technology, Handheld Devices, Telecommunications
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Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; van Velsen, Martin; Popescu, Octav; Demi, Sandra; Ringenberg, Michael; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2016
In 2009, we reported on a new Intelligent Tutoring Systems (ITS) technology, example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT). Creating example-tracing tutors was shown to be 4-8 times as cost-effective as estimates for ITS development from the literature. Since 2009, CTAT and its…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Programming, Educational Technology
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Allen, Laura K.; Jacovina, Matthew E.; Johnson, Adam C.; McNamara, Danielle S.; Roscoe, Rod D. – Grantee Submission, 2016
Revising is an essential writing process yet automated writing evaluation systems tend to give feedback on discrete essay drafts rather than changes across drafts. We explore the feasibility of automated revision detection and its potential to guide feedback. Relationships between revising behaviors and linguistic features of students' essays are…
Descriptors: Revision (Written Composition), Automation, Writing Evaluation, Feedback (Response)
Aleven, Vincent; McLaren, Bruce M.; Sewall, Jonathan; van Velsen, Martin; Popescu, Octav; Demi, Sandra; Ringenberg, Michael; Koedinger, Kenneth R. – Grantee Submission, 2016
In 2009, we reported on a new Intelligent Tutoring Systems (ITS) technology, example-tracing tutors, that can be built without programming using the Cognitive Tutor Authoring Tools (CTAT). Creating example-tracing tutors was shown to be 4-8 times as cost-effective as estimates for ITS development from the literature. Since 2009, CTAT and its…
Descriptors: Intelligent Tutoring Systems, Programming, Artificial Intelligence, Visual Aids
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Harley, Jason M.; Lajoie, Susanne P.; Frasson, Claude; Hall, Nathan C. – International Journal of Artificial Intelligence in Education, 2017
A growing body of work on intelligent tutoring systems, affective computing, and artificial intelligence in education is exploring creative, technology-driven approaches to enhance learners' experience of adaptive, positively-valenced emotions while interacting with advanced learning technologies. Despite this, there has been no published work to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Technology Uses in Education, Psychological Patterns
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Guo, Hongwen – ETS Research Report Series, 2017
Data collected from online learning and tutoring systems for individual students showed strong autocorrelation or dependence because of content connection, knowledge-based dependency, or persistence of learning behavior. When the response data show little dependence or negative autocorrelations for individual students, it is suspected that…
Descriptors: Data Collection, Electronic Learning, Intelligent Tutoring Systems, Information Utilization
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McGuire, Patrick; Tu, Shihfen; Logue, Mary Ellin; Mason, Craig A.; Ostrow, Korinn – Educational Media International, 2017
This study compared the effects of three different feedback formats provided to sixth grade mathematics students within a web-based online learning platform, ASSISTments. A sample of 196 students were randomly assigned to one of three conditions: (1) text-based feedback; (2) image-based feedback; and (3) correctness only feedback. Regardless of…
Descriptors: Feedback (Response), Middle Schools, Randomized Controlled Trials, Mathematics Instruction
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Johnson, Amy M.; Guerrero, Tricia A.; Tighe, Elizabeth L.; McNamara, Danielle S. – Grantee Submission, 2017
There is little empirical research available on the substantial problem of adult low literacy rates, and limited educational technologies are available to address distinct instructional needs of this population. This paper reports on development and testing of a version of Interactive Strategy Training for Active Reading and Thinking (iSTART) for…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
Doroudi, Shayan; Aleven, Vincent; Brunskill, Emma – Grantee Submission, 2017
The gold standard for identifying more effective pedagogical approaches is to perform an experiment. Unfortunately, frequently a hypothesized alternate way of teaching does not yield an improved effect. Given the expense and logistics of each experiment, and the enormous space of potential ways to improve teaching, it would be highly preferable if…
Descriptors: Teaching Methods, Matrices, Evaluation Methods, Models
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Li, Haiying; Gobert, Janice; Dickler, Rachel – International Educational Data Mining Society, 2017
Scientific explanations, which include a claim, evidence, and reasoning (CER), are frequently used to measure students' deep conceptual understandings of science. In this study, we developed an automated scoring approach for the CER that students constructed as a part of virtual inquiry (e.g., formulating questions, analyzing data, and warranting…
Descriptors: Automation, Science Instruction, Inquiry, Educational Assessment
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McFarlane, Angela E. – British Journal of Educational Technology, 2019
The long anticipated ubiquity of digital technologies is now established in the developed world. The manifestations and consequences are not entirely as predicted, perhaps nowhere more so than in the classroom. Amid a clamour for the banning of mobile phone use in school, it is timely to reflect upon the Utopian dream of an enriched experience of…
Descriptors: Information Technology, Intelligent Tutoring Systems, Access to Information, Computer Assisted Instruction
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Brownlie, Stacey R. – Journal of Library & Information Services in Distance Learning, 2018
In the Spring 2017 semester, an instructional designer, a writing center coordinator, and a director of distance library services initiated a pilot project for a seven-campus, eight-satellite center, public university system to cross-train virtual writing tutors in baseline research skills. This case study describes the collaborative pilot…
Descriptors: Intelligent Tutoring Systems, Writing Instruction, Laboratories, Writing (Composition)
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