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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
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
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
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
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
Rus, Vasile; Moldovan, Cristian; Niraula, Nobal; Graesser, Arthur C. – International Educational Data Mining Society, 2012
In this paper we address the important task of automated discovery of speech act categories in dialogue-based, multi-party educational games. Speech acts are important in dialogue-based educational systems because they help infer the student speaker's intentions (the task of speech act classification) which in turn is crucial to providing adequate…
Descriptors: Educational Games, Feedback (Response), Classification, Expertise
Rodrigo, Ma. Mercedes T.; Baker, Ryan S. J. d.; McLaren, Bruce M.; Jayme, Alejandra; Dy, Thomas T. – International Educational Data Mining Society, 2012
In recent years, machine-learning software packages have made it easier for educational data mining researchers to create real-time detectors of cognitive skill as well as of metacognitive and motivational behavior that can be used to improve student learning. However, there remain challenges to overcome for these methods to become available to…
Descriptors: Thinking Skills, Educational Technology, Educational Research, Computer Software
Hodgen, Jeremy; Barclay, Nancy; Foster, Colin; Gilmore, Camila; Marks, Rachel; Simms, Victoria – Education Endowment Foundation, 2020
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the writing of the guidance report "Improving Mathematics in the Early Years and Key Stage One" (ED612298). The review aimed to synthesise the best available international evidence regarding teaching and learning of mathematics for…
Descriptors: Mathematics Instruction, Elementary School Mathematics, Early Childhood Education, Instructional Effectiveness
Zayyad, Muhammad, Ed.; Unsal, Atilla Ayaz, Ed. – Online Submission, 2020
"Education Research Highlights in Mathematics, Science and Technology" is published annually from the selected papers invited by the editors. This edition includes 3 sections and 11 papers from the field of Educational Technology, Mathematics Education and Science Education, all submissions are reviewed by at least two international…
Descriptors: Educational Research, Mathematics Education, Science Education, Technology Education
Cultivating Undergraduates' Plagiarism Avoidance Knowledge and Skills with an Online Tutorial System
Liu, Gi-Zen; Lu, Hui-Ching; Lin, Vivien; Hsu, Wei-Chen – Journal of Computer Assisted Learning, 2018
With the increased use of digital materials, undergraduate writers in English as a foreign language (EFL) contexts have become more susceptible to plagiarism. In this study, the researchers designed a blended English writing course with an online writing tutorial system entitled "DWright." The study examined the effectiveness of the…
Descriptors: Undergraduate Students, Plagiarism, Prevention, Intelligent Tutoring Systems

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