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Kiss, David – Education Economics, 2018
Many (quasi-)experimental studies show that students tend to learn more in classes with better peers. However, the (presumably numerous) factors mediating the positive relationship between peer and own achievement have received less attention in the literature. I present evidence on one particular transmission channel: teachers tend to grade…
Descriptors: Academic Ability, Heterogeneous Grouping, Mathematics Achievement, Tutoring
Allen, Laura K.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2018
The assessment of argumentative writing generally includes analyses of the specific linguistic and rhetorical features contained in the individual essays produced by students. However, researchers have recently proposed that an individual's ability to flexibly adapt the linguistic properties of their writing may more accurately capture their…
Descriptors: Writing (Composition), Persuasive Discourse, Essays, Language Usage
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Twyford, Jessica; Craig, Scotty D. – Journal of Educational Computing Research, 2017
Observational tutoring has been found to be an effective method for teaching a variety of subjects by reusing dialogue from previous successful tutoring sessions. While it has been shown content can be learned through observational tutoring, it has yet to been examined if a secondary behavior such as goal setting can be influenced. The present…
Descriptors: Pretests Posttests, Physics, Science Instruction, Teaching Methods
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Dugartsyrenova, Vera A.; Sardegna, Veronica G. – ReCALL, 2017
This study explored Russian as a foreign language (RFL) learners' self-reported strategic uses of "VoiceThread" (VT)--a multimodal asynchronous computer-mediated communication tool--in order to gain insights into learner perceived effectiveness of VT for second language (L2) oral skills development and to determine the factors that…
Descriptors: Russian, Second Language Instruction, Teaching Methods, Computer Assisted Instruction
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Musah, Rabi A.; Ford, Michael – Journal of Research on Educational Effectiveness, 2017
Although there is a large body of research on the effectiveness of supplemental instruction for college undergraduates, very little of it has focused on transfer students, who often confront additional sources of stress and historically perform more poorly than their native student counterparts. In this study, we investigated the effectiveness of…
Descriptors: STEM Education, Undergraduate Students, College Transfer Students, Peer Teaching
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Easterday, Matthew W.; Aleven, Vincent; Scheines, Richard; Carver, Sharon M. – Journal of the Learning Sciences, 2017
How might we balance assistance and penalties to intelligent tutors and educational games that increase learning and interest? We created two versions of an educational game for learning policy argumentation called Policy World. The game (only) version provided minimal feedback and penalized students for errors whereas the game+tutor version…
Descriptors: Educational Games, Intelligent Tutoring Systems, Policy, Persuasive Discourse
Swan, S. Tomeka – ProQuest LLC, 2017
Blind and visually impaired students who attend community colleges face challenges in learning mathematics (Forrest, 2010). Scoy, McLaughlin, Walls, and Zuppuhaur (2006) claim these students are at a disadvantage in studying mathematics due to the visual and interactive nature of the subject, and by the way mathematics is taught. In this…
Descriptors: Blindness, Visual Impairments, Two Year College Students, Community Colleges
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McCarthy, Kathryn S.; Jacovina, Matthew E.; Snow, Erica L.; Guerrero, Tricia A.; McNamara, Danielle S. – Grantee Submission, 2017
iSTART is an intelligent tutoring system designed to provide self-explanation instruction and practice to improve students' comprehension of complex, challenging text. This study examined the effects of extended game-based practice within the system as well as the effects of two metacognitive supports implemented within this practice. High school…
Descriptors: Reading Comprehension, Reading Instruction, Intelligent Tutoring Systems, Reading Strategies
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Price, Thomas; Zhi, Rui; Barnes, Tiffany – International Educational Data Mining Society, 2017
In this paper we present a novel, data-driven algorithm for generating feedback for students on open-ended programming problems. The feedback goes beyond next-step hints, annotating a student's whole program with suggested edits, including code that should be moved or reordered. We also build on existing work to design a methodology for evaluating…
Descriptors: Feedback (Response), Computer Software, Data Analysis, Programming
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Bringula, Rex P.; Basa, Roselle S.; Dela Cruz, Cecilio; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2016
This study attempted to determine the influence of prior knowledge in mathematics of students on learner-interface interactions in a learning-by-teaching intelligent tutoring system. One hundred thirty-nine high school students answered a pretest (i.e., the prior knowledge in mathematics) and a posttest. In between the pretest and posttest, they…
Descriptors: Mathematics, Tutoring, Mathematics Instruction, Foreign Countries
Clark-Kasimu, Nakachi – Voices in Urban Education, 2015
Unrest, crime, and poverty in Central America and other parts of the world have led to periodic migrations of unaccompanied children and young refugees into the United States. These children then enroll in U.S. schools--public education for all children, including undocumented children, is a right guaranteed by the 1982 "Plyler v. Doe"…
Descriptors: Refugees, School Community Programs, Tutoring, Partnerships in Education
Kelly, Kim; Heffernan, Neil – International Educational Data Mining Society, 2015
Intelligent tutoring systems have been developed to help students learn independently. However, students who are poor self-regulated learners often struggle to use these systems because they lack the skills necessary to learn independently. The field of psychology has extensively studied self-regulated learning and can provide strategies to…
Descriptors: Intelligent Tutoring Systems, Active Learning, Self Management, Independent Study
Eagle, Michael; Barnes, Tiffany – International Educational Data Mining Society, 2015
Interactive problem solving environments, such as intelligent tutoring systems and educational video games, produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled the student-tutor interactions using complex network…
Descriptors: Interaction, Teacher Student Relationship, Intelligent Tutoring Systems, Data
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
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Valerie Zelenka; Eric Deneault; Keith Dreiling; Beth Walizer – Advocate, 2015
This paper discusses an after-school service-learning project implemented over the course of the school year in a low SES elementary school. This project offered a sustained, coordinated effort to motivate and engage 57 struggling readers in a skills-based literacy tutoring program. A paired two-sample t-test was conducted to determine if there…
Descriptors: Service Learning, After School Education, Elementary School Students, Reading Difficulties
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