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Sullins, Jeremiah; Acuff, Samuel; Neely, Daniel; Hu, Xiangen – Journal of Educational Multimedia and Hypermedia, 2018
Is it possible to teach a learner to become a better question asker in as little as 25 minutes? Given that many teachers and school districts do not have the resources to provide individualized question training to students, the current study sought to explore the benefits of using animated pedagogical agents to teach question-asking skills in a…
Descriptors: Prior Learning, Questioning Techniques, Training, Intelligent Tutoring Systems
Calhoun, Jerlisa M. – ProQuest LLC, 2018
Students with disabilities (SWD) at an urban high school in Midwestern United States experienced academic, social, and emotional problems. When SWD experience difficulties in high school, they may drop out and face potentially life-long problems. The purpose of this case study was to understand how a Response to Intervention (RTI) tutoring program…
Descriptors: High School Students, Disabilities, At Risk Students, Response to Intervention
Liles, Karina – ProQuest LLC, 2018
This research presents a new, socially adaptive robot tutor, Ms. An ("M"eeting "S"tudents' "A"cademic "N"eeds). The goal of this research was to use a decision tree model to develop a socially adaptive robot tutor that predicted and responded to student emotion and performance to actively engage students in…
Descriptors: Mathematics Education, Robotics, Tutoring, Mathematics Instruction
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
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
Michael Madaio; Kun Peng; Amy Ogan; Justine Cassell – Grantee Submission, 2018
Prior work has found benefits of interpersonal closeness, or rapport, on student learning, but has primarily investigated its impact on learning outcomes, not learning processes. Moreover, such work often analyzes the direct impact of dyadic features like rapport on learning, without considering the role played by individual factors, such as…
Descriptors: High School Students, Peer Teaching, Tutoring, Academic Support Services
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
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
Mwebi, Robert B.; Maithya, Redempta – Journal of Education and Practice, 2016
The practice of private tuition outside normal class hours is a phenomenon which has prevailed in Kenyan basic learning institutions despite the repeated ban by the government. The purpose of the study was to establish parental perceptions on extra tuition in public schools in Kenya. Descriptive survey design was used for the study. A total of 40…
Descriptors: Foreign Countries, Parent Attitudes, Public Schools, Private Education
De Backer, Liesje; Van Keer, Hilde; Moerkerke, Beatrijs; Valcke, Martin – Metacognition and Learning, 2016
We aimed to investigate how metacognitive regulation is characterised during collaborative learning in a higher education reciprocal peer tutoring (RPT) setting. Sixty-four Educational Sciences students participated in a semester-long RPT-intervention and tutored one another in small groups of six. All sessions of five randomly selected RPT-groups…
Descriptors: Metacognition, Higher Education, Peer Teaching, Tutoring
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
Simon, Isaac; Hines, Kelsey – Communication Center Journal, 2017
Every year, more students with Autism Spectrum Disorder (ASD) are applying and being accepted into universities (Hansen, 2011). Communication centers serve a diverse range of students whose particular needs vary. While current tutor methodology is an effective way of approaching traditional students' needs, students with ASD, and the tutors who…
Descriptors: Autism, Pervasive Developmental Disorders, Video Technology, Modeling (Psychology)
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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