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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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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
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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
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
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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
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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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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
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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
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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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Suh, Emily K.; Ross, Phip; Rada, Geriann; Tompson-Wolfe, Karen – Journal of Developmental Education, 2019
Successful transition to college requires understanding the college system as much as the academic subjects taught therein. This article describes the creation of the Transitions Lab, a T.I.D.E.S. model (Boylan, 2009) of student support including collaboration with institutional and community partners, advising, tutoring, and retesting assistance…
Descriptors: College Readiness, Transitional Programs, Developmental Studies Programs, Student Placement
Yang, Wenjie; Fan, Guorui – ECNU Review of Education, 2019
Purpose: This study analyzes the Programme for International Student Assessment (PISA) data, revealing that the test itself reflects China's educational problems as well as the resultant effect of digital governance. Examining the root cause of these problems, this study demonstrates that the education reforms implemented in response to the PISA…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
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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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Jessie S. Thacker-King – Journal of the American Academy of Special Education Professionals, 2019
"Education is the most powerful weapon which you can use to change the world" Nelson Mandela (Strauss, 2013). Nelson Mandela's statement provides the basis for this article. Education provides a means of escaping the consequences of poverty. Children who live at or below the poverty level must overcome the detrimental effects of poverty…
Descriptors: Poverty, At Risk Students, Child Development, Intervention
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