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Powell, Sarah R.; Driver, Melissa K.; Julian, Tyler E. – Journal of Learning Disabilities, 2015
Students often misinterpret the equal sign (=) as operational instead of relational. Research indicates misinterpretation of the equal sign occurs because students receive relatively little exposure to equations that promote relational understanding of the equal sign. No study, however, has examined effects of nonstandard equations on the equation…
Descriptors: Mathematics Instruction, Tutoring, Equations (Mathematics), Mathematical Concepts
Stevenson, Claire E. – International Journal of Artificial Intelligence in Education, 2017
This study contrasted the effects of tutoring, multiple try and no feedback on children's progression in analogy solving and examined individual differences herein. Feedback that includes additional hints or explanations leads to the greatest learning gains in adults. However, children process feedback differently from adults and effective…
Descriptors: Tutoring, Feedback (Response), Children, Short Term Memory
Wijekumar, Kausalai; Meyer, Bonnie J. F.; Lei, Puiwa – Journal of Educational Psychology, 2017
Reading comprehension in the content areas is a challenge for many middle grade students. Text structure-based instruction has yielded positive outcomes in reading comprehension at all grade levels in small and large studies. The text structure strategy delivered via the web, called Intelligent Tutoring System for the Text Structure Strategy…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Pretests Posttests, Web Based Instruction
Rosenthal, Julie L.; Donnantuono, Marie; Lebron, Mary; Flynn, Christina – School-University Partnerships, 2017
This paper reports the effects on children, teacher candidates, and classroom teachers of a PDS-based initial certification course in the teaching of literacy. In this course, teacher candidates work with individual struggling readers on a range of literacy tasks, and the classroom teacher and university faculty member serve as course…
Descriptors: Literacy Education, Professional Development Schools, College School Cooperation, Partnerships in Education
Madden, Nancy A.; Slavin, Robert E. – Reading & Writing Quarterly, 2017
This article reports on 2 experiments in inner-city Baltimore evaluating a computer-assisted tutoring approach, Tutoring With Alphie (TWA), in which 1 paraprofessional can work with up to 6 children at a time. In Study 1, we randomly assigned 14 schools to receive TWA or to continue with whatever approaches they were currently using. Each…
Descriptors: Computer Assisted Instruction, Educational Technology, Tutoring, Randomized Controlled Trials
Wijekumar, Kausalai; Meyer, Bonnie J. F.; Lei, Puiwa; Cheng, Weiyi; Ji, Xuejun; Joshi, R. M. – Journal of Educational Computing Research, 2017
Reading and comprehending content area texts require learners to effectively select and encode with hierarchically strategic memory structures in order to combine new information with prior knowledge. Unfortunately, evidence from state and national tests shows that children fail to successfully navigate the reading comprehension challenges they…
Descriptors: Evidence, Intelligent Tutoring Systems, Memory, Expository Writing
Morano, Stephanie; Riccomini, Paul J. – Preventing School Failure, 2017
The body of peer-tutoring intervention research targeting higher order learning (HOL) objectives for middle and high school students with disabilities is reviewed. Peer-tutoring outcomes are synthesized and studies are analyzed to examine the influence of tutoring procedures and study design features on intervention efficacy. Findings show that…
Descriptors: Peer Teaching, Tutoring, Thinking Skills, Middle School Students
Viera, Julian; Kosheleva, Olga M. – AERA Online Paper Repository, 2017
Studies which investigate "translanguaging," best practices, and literacy in teaching mathematics for English Language Learners (ELLs) is common in the educational literature. Studies on how ELLs self-efficacy are affected by online cognitive tutors are not common, and there is even less research on how ELLs engage with technology in an…
Descriptors: English Language Learners, English (Second Language), Equal Education, Educational Opportunities
Kulkin, Margaret – Afterschool Matters, 2016
Afterschool teachers who tutor students or provide homework help have a unique opportunity to help students overcome the social or emotional barriers that so often block learning. They can embrace a creative and investigative approach to math learning. Margaret Kulkin's interest in being a math attitude "myth-buster" led her to apply to…
Descriptors: Mathematics Anxiety, Mathematics Education, Mathematics Instruction, After School Education
Eranki, Kiran L. N.; Moudgalya, Kannan M. – Educational Technology & Society, 2016
In this work, we study the effectiveness of a method called Spoken Tutorial, which is a candidate technique for self-learning. The performance of college students who self-learned Java through the Spoken Tutorial method is found to be better than that of conventional learners. Although the method evaluated in this work helps both genders, females…
Descriptors: Comparative Analysis, Instructional Effectiveness, Blended Learning, Independent Study
Caviedes, Lorena; Meza, Angélica; Rodriguez, Ingrid – HOW, 2016
This paper presents a qualitative case study that involved three groups of English as a foreign language pre-service teachers at a Colombian private university. Each group attended tutoring sessions during an academic semester. Along these sessions, students were asked to work collaboratively in the editing process of some chapters of their thesis…
Descriptors: Foreign Countries, Preservice Teachers, Language Teachers, Second Language Instruction
Allen, Pamela; Withey, Paul; Lawton, Deb; Aquino, Carlos Tasso – Journal of Educational Technology, 2016
The aim of this study was to provide a reflection of current trends in higher education, identify some of the changes in student behavior, and potential identification of non-traditional classroom facilitation with the purpose of strengthening active learning and use of technology in the classroom. Non-traditional teaching is emerging in the form…
Descriptors: Andragogy, Teaching Methods, Nontraditional Students, Learner Engagement
Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
Khajah, Mohammad; Lindsey, Robert V.; Mozer, Michael C. – International Educational Data Mining Society, 2016
In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…
Descriptors: Bayesian Statistics, Data Analysis, Prediction, Intelligent Tutoring Systems
Weiz, Rob; Kodaganallur, Viswanathan; Rosenthal, David – Technology, Instruction, Cognition and Learning, 2010
Building intelligent tutoring systems presents significant challenges -- one challenge arises because tutoring is concerned with unobservable inner workings of the human brain; another results from the formidable task of knowledge representation and reasoning; still a third is due to the competing theories of teaching and learning. Over the past…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Models

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