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Sudol, Leigh Ann; Rivers, Kelly; Harris, Thomas K. – International Educational Data Mining Society, 2012
In complex problem solving domains, correct solutions are often comprised of a combination of individual components. Students usually go through several attempts, each attempt reflecting an individual solution state that can be observed during practice. Classic metrics to measure student performance over time rely on counting the number of…
Descriptors: Problem Solving, Tutors, Feedback (Response), Probability
Wang, Yutao; Heffernan, Neil T. – International Educational Data Mining Society, 2012
The field of educational data mining has been using the Knowledge Tracing model, which only look at the correctness of student first response, for tracking student knowledge. Recently, lots of other features are studied to extend the Knowledge Tracing model to better model student knowledge. The goal of this paper is to analyze whether or not the…
Descriptors: Reaction Time, Students, Knowledge Level, Models
Lindo, Endia J.; Weiser, Beverly; Cheatham, Jennifer P.; Allor, Jill H. – Reading & Writing Quarterly, 2018
This study examines the effectiveness of minimally trained tutors providing a highly structured tutoring intervention for struggling readers. We screened students in Grades K-6 for participation in an after-school tutoring program. We randomly assigned those students not meeting the benchmark on a reading screening measure to either a tutoring…
Descriptors: After School Programs, After School Education, Literacy, Tutoring
Bonazzo, Claude; Looby, Karen – Online Submission, 2018
This evaluation report describes program outcomes for students in APIE's Middle School Math and College Readiness Coaching Programs in the 2017-2018 school year. [For the executive summary, see ED626456.]
Descriptors: Grade 8, Middle School Students, Coaching (Performance), Mathematics Instruction
Hafidi, Mohamed; Bensebaa, Tahar – International Journal of Information and Communication Technology Education, 2014
Several adaptive and intelligent tutoring systems (AITS) have been developed with different variables. These variables were the cognitive traits, cognitive styles, and learning behavior. However, these systems neglect the importance of the learner's multiple intelligences, the learner's skill level and the learner's feedback when implementing…
Descriptors: Intelligent Tutoring Systems, Models, Foreign Countries, Pretests Posttests
Muldner, Kasia; Lam, Rachel; Chi, Michelene T. H. – Journal of Educational Psychology, 2014
A promising instructional approach corresponds to" learning by observing others learn" (i.e., by watching tutorial dialogue between a tutor and tutee). However, more work is needed to understand this approach's pedagogical utility. Thus, in 2 experiments we compared student learning from collaborative observation of dialogue with 2 other…
Descriptors: Tutoring, Teaching Methods, Observational Learning, Educational Experiments
Wood, Summer; Jocius, Robin – Reading Teacher, 2014
It is no secret that technology is ever evolving and impacting the ways in which we engage in society. This reality is also true when considering how young children express knowledge. In this article we discuss the ways in which three iPad applications were used for critical responses to children's literature. We highlight the ways in which…
Descriptors: Reading Instruction, Handheld Devices, Educational Technology, Technology Uses in Education
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2014
While collaborative Intelligent Tutoring Systems (ITSs) have been designed for older students and have been shown to support sense-making behaviors, there has not been as much work on creating systems to support collaboration between elementary school students. We have developed and tested, with 84 students, individual and collaborative versions…
Descriptors: Intelligent Tutoring Systems, Elementary School Students, Fractions, Cooperative Learning
Cooper, Rebeca Ann – ProQuest LLC, 2014
Since the inception of the No Child Left Behind (NCLB) act (P.L. 107-110), the debate continues regarding supplemental education service (SES) providers and their effectiveness in improving student achievement. NCLB requires districts to use an amount equal to at least 20% out if their Title I, Part A funds (U.S.D.E, 2011) to offer SES to students…
Descriptors: Educational Legislation, Elementary Secondary Education, Federal Legislation, Supplementary Education
A Delayed Treatment Control Group Design Study of an After-School Online Tutoring Program in Reading
Perry, S. Marshall – IGI Global, 2014
This chapter concerns a year-long, United States federally-funded evaluation of Educate Online, an online, at home, 1:1 tutoring program aimed at improving reading performance for middle school students who are below grade level. Participating students receive after-school instruction from teachers in real-time over Voice over Internet Protocol…
Descriptors: Program Evaluation, Intelligent Tutoring Systems, After School Programs, Reading Instruction
Janet C. Richards – Sage Research Methods Cases, 2014
As part of course requirements, 16 elementary education students in a master's cohort tutored groups of Kindergarten-5th grade children in a service-learning, after-school writing program that emphasized teacher care. The education students had never taught children in a school setting and consequently had difficulties reflecting about their…
Descriptors: Preservice Teachers, Preservice Teacher Education, Elementary School Curriculum, Grade 5
Perdian, David C. – Journal of Science Education and Technology, 2013
Two distinct student groups, in terms of academic performance, were identified early in the semester as either being under-performing students or over-performing students using an online homework system. The students who are identified as under-performing received, on average, lower grades than their fellow students but spent more time completing…
Descriptors: Underachievement, Overachievement, Homework, Computer Uses in Education
Gazioglu, Suzan – Teaching Statistics: An International Journal for Teachers, 2013
Classroom-based learning has great value, but online classes are becoming quite popular in the academic world because of the tremendous opportunities they offer. This article outlines the author's journey through the planning, development and execution of an online statistics course.
Descriptors: Online Courses, Statistics, Instructional Design, Course Content
Pane, John F.; Griffin, Beth Ann; McCaffrey, Daniel F.; Karam, Rita; Daugherty, Lindsay; Phillips, Andrea – Grantee Submission, 2013
This large-scale effectiveness trial found a significant positive effect for high schools using Cognitive Tutor Algebra I (CTAI) in their second year of implementation, relative to similar schools that continued to use existing textbook-based algebra curricula. This positive result is important for educators and policymakers seeking ways to…
Descriptors: Mathematics Instruction, Algebra, Intelligent Tutoring Systems, Computer Software
Li, Yatao; Zhao, Ke; Xu, Wei – International Journal of Information and Communication Technology Education, 2015
Intelligent tutoring systems (ITSs), which provide step-by-step guidance to students in problem-solving activities, have been shown to enhance student learning in a range of domains. However, they tend to be pre-established and cannot supply the tutoring function immediately from the diverse mathematical questions. The MITSAS (multiagent…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Foreign Countries, Algebra

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