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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
Cook, Sara Cothren; Cook, Bryan G.; Cook, Lysandra – Exceptionality, 2017
Evidence-based reforms that emphasize the identification and implementation of empirically validated practices are at the forefront of educational research, and recently, the Council for Exceptional Children (CEC; 2014) published a set of standards for establishing evidence-based practices in special education. Although 30 years of research…
Descriptors: Peer Teaching, Tutoring, Disabilities, Evidence Based Practice
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
Dunn, Michelle E.; Shelnut, Jill; Ryan, Joseph B.; Katsiyannis, Antonis – Education and Treatment of Children, 2017
The purpose of this review is to report on the effectiveness of peer-mediated interventions on academic outcomes for students with emotional and behavioral disorders (EBD). CEC standards for evidence-based practices were used for determination of methodologically sound studies. Twenty-four studies involving 288 participants met inclusionary…
Descriptors: Emotional Disturbances, Behavior Disorders, Intervention, Academic Achievement
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
Korsakova, Tatiana; Korsakov, Mikhail – Bulgarian Comparative Education Society, 2017
The purpose of this study is to identify the sources of harmonizing employers' orders in business and graduates of higher education. According to challenges posed by the economic environment the development of tutor-support system has the great potential to solve the problem. In the paper trends of modern specialists' educational preparation are…
Descriptors: Economics Education, Tutoring, Education Work Relationship, Teaching Methods
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
Michael Madaio; Justine Cassell; Amy Ogan – Grantee Submission, 2017
During collaborative learning, computer-supported or otherwise, students balance task-oriented goals with the interpersonal goals of relationship-building. This means that in peer tutoring, some pedagogically beneficial behaviors may be avoided by peer tutors due to their likelihood to get in the way of relationship-building. In this paper, we…
Descriptors: Cooperative Learning, Peer Teaching, Peer Relationship, Self Efficacy
Michael Madaio; Justine Cassell; Amy Ogan – International Journal of Computer-Supported Collaborative Learning, 2017
During collaborative learning, computer-supported or otherwise, students balance task-oriented goals with the interpersonal goals of relationship-building. This means that in peer tutoring, some pedagogically beneficial behaviors may be avoided by peer tutors due to their likelihood to get in the way of relationship-building. In this paper, we…
Descriptors: Cooperative Learning, Peer Teaching, Peer Relationship, Self Efficacy
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)

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