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Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
Lafont, Lucile; Rivière, Camille; Darnis, Florence; Legrain, Pascal – European Physical Education Review, 2017
This article is grounded in social constructivist perspectives of learning: its purpose is to provide an overview of the "Interactions Sociales et Acquisition" (ISA) [Social Interactions and Acquisition] French group's research that examines how a peer-assisted learning (PAL) group context facilitates students' acquisition of motor and…
Descriptors: Group Activities, Physical Education, Interpersonal Competence, Psychomotor Skills
Stover, Katie; Sparrow, Amanda; Siefert, Bobbi – Preventing School Failure, 2017
Despite sound instructional practices to develop foundational reading skills with young learners, numerous learners continue to lag behind in literacy learning. Many do not view themselves as readers, lack motivation, and become disengaged with learning in general. This article shares a research-based instructional framework developed by one of…
Descriptors: Individualized Instruction, Reading Instruction, Reading Difficulties, Evidence Based Practice
Vandevelde, Sabrina; Van Keer, Hilde; Merchie, Emmelien – Journal of Educational Research, 2017
The authors explore the effects of student tutoring as an approach to provide support on self-regulated learning (SRL) to fifth- and sixth-grade students with a low socioeconomic or immigrant background. In total, 401 Flemish (Belgium) students participated. A quasi-experimental study with pretest, posttest, and retention test control group design…
Descriptors: Socioeconomic Background, Immigrants, Intervention, Elementary School Students
Kamsa, Imane; Elouahbi, Rachid; El Khoukhi, Fatima – Journal of Information Technology Education: Research, 2017
Aim/Purpose: To identify and rectify the learning difficulties of online learners. Background: The major cause of learners' failure and non-acquisition of knowledge relates to their weaknesses in certain areas necessary for optimal learning. We focus on e-learning because, within this environment, the learner is mostly affected by these…
Descriptors: Foreign Countries, Graduate Students, Masters Programs, Learning Disabilities
Belland, Brian R.; Walker, Andrew E.; Kim, Nam Ju; Lefler, Mason – Review of Educational Research, 2017
Computer-based scaffolding assists students as they generate solutions to complex problems, goals, or tasks, helping increase and integrate their higher order skills in the process. However, despite decades of research on scaffolding in STEM (science, technology, engineering, and mathematics) education, no existing comprehensive meta-analysis has…
Descriptors: Computer Assisted Instruction, Scaffolding (Teaching Technique), STEM Education, Meta Analysis
Rennar-Potacco, Donna; Orellana, Anymir; Salazar, Andres – Quarterly Review of Distance Education, 2017
The low retention rates of students in science technology, engineering, and mathematics (STEM) and STEM-related majors threaten the ability of the United States to maintain its prominence in science and technology and meet economic demand (Executive Office of the President, President's Council of Advisors on Science and Technology, 2012). One…
Descriptors: Academic Persistence, STEM Education, Educational Technology, Technology Uses in Education
Bennane, Abdellah – Informatics in Education, 2013
The introduction of the intelligence in teaching software is the object of this paper. In software elaboration process, one uses some learning techniques in order to adapt the teaching software to characteristics of student. Generally, one uses the artificial intelligence techniques like reinforcement learning, Bayesian network in order to adapt…
Descriptors: Computer Software, Educational Technology, Artificial Intelligence, Reinforcement
Longwell-Grice, Robert; McIlheran, Janine; Schroeder, Mark; Scheele, Steve – Learning Assistance Review, 2013
The Praxis test is one of a series of national teacher certification exams written and administered by the Education Testing Service (ETS) since 1947. Currently, forty states now require some form of the Praxis Series (Educational Testing Service, 2011). Using pre- and post-tests similar to the Praxis I math exam, this study examined the affect…
Descriptors: Teacher Certification, Educational Testing, Praxis, Tutoring
Stamper, John; Eagle, Michael; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2013
We have augmented the Deep Thought logic tutor with a Hint Factory that generates data-driven, contextspecific hints for an existing computer aided instructional tool. We investigate the impact of the Hint Factory's automatically generated hints on educational outcomes in a switching replications experiment that shows that hints help students…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Problem Solving, College Students
Walters, Glenn E., Jr. – ProQuest LLC, 2013
For high-profile Division-I student-athletes, the academic success journey is often overshadowed by athletic participation, providing both researchers and practitioners an incomplete picture of student-athlete academic success. There exists little literature on the phenomenon of student-athlete integration, a process suggested to enhance chances…
Descriptors: Peer Teaching, Tutoring, College Freshmen, Athletes
Weston, Jennifer L.; McNamara, Danielle S. – Grantee Submission, 2013
Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring…
Descriptors: Intelligent Tutoring Systems, Hierarchical Linear Modeling, Correlation, Writing Instruction
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol; Sewall, Jonathan; Ringenberg, Michael – Grantee Submission, 2013
Authoring tools for Intelligent Tutoring System (ITS) have been shown to decrease the amount of time that it takes to develop an ITS. However, most of these tools currently do not extend to collaborative ITSs. In this paper, we illustrate an extension to the Cognitive Tutor Authoring Tools (CTAT) to allow for development of collaborative ITSs that…
Descriptors: Intelligent Tutoring Systems, Programming Languages, Fractions, Learning Processes
Olson, Peter C. – Perspectives in Peer Programs, 2013
Acting as a tutor can increase a student's academic skills. The purpose of this study was to investigate the relative effectiveness of two types of reading fluency building strategies--echo reading and error correction--for the fluency improvement of tutors. Forty lower performing readers were trained in echo reading and error correction. Then,…
Descriptors: Reading Fluency, Tutors, Peer Teaching, Tutoring
Hassani, Kaveh; Nahvi, Ali; Ahmadi, Ali – Interactive Learning Environments, 2016
In this paper, we present an intelligent architecture, called intelligent virtual environment for language learning, with embedded pedagogical agents for improving listening and speaking skills of non-native English language learners. The proposed architecture integrates virtual environments into the Intelligent Computer-Assisted Language…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Instruction, Technology Uses in Education

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