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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
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
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
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
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

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