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Elbulok-Charcape, Milushka; Grandoit, Evan; Berman, Lorin; Fogel, Joshua; Fink, Lauren; Rabin, Laura – Psychology Teaching Review, 2019
Peer tutoring is an effective method of improving undergraduate students' academic performance, especially for those at-risk for poor grades. Peer tutoring has seldom been explored in undergraduate statistics, a difficult but required course for many college majors. The current study investigated the benefits of peer tutoring for 180…
Descriptors: Student Improvement, Undergraduate Students, At Risk Students, Peer Teaching
Yang, Jeong A.; Tan, Charlene – Asia-Pacific Education Researcher, 2019
This article focuses on a major reform goal to advance a student-centric education in South Korea and the associated issues and challenges. This research study draws upon Wittgenstein's concept of world-picture that brings to the fore the cultural influences on policy enactment. Interview data with teachers and students in Korea revealed two main…
Descriptors: Educational Change, Student Centered Learning, Cultural Influences, Educational Policy
Pierce, Dennis – Community College Journal, 2019
Community colleges have made great strides in advancing student success and completion during the last decade. But not all students have benefited from these efforts equally. According to the Lumina Foundation, the postsecondary attainment rate for adults in the United States is around 40 percent. Yet, there are still large gaps in attainment…
Descriptors: Community Colleges, Equal Education, Outcomes of Education, Achievement Gap
Hwang, Wu-Yuin; Nguyen, Thi-Huyen; Pham, Xuan-Lam – Journal of Educational Computing Research, 2019
Learning and cognitive ability are necessarily connected. Learning occurs when people engage in a series of cognitive processes. In this study, we examined how English as a foreign language (EFL) learners' cognitive abilities diffuse (i.e., change) effectively from a basic level (i.e., Remember, Understand) to a more advanced level (i.e., Apply)…
Descriptors: Peer Teaching, Tutoring, Tutors, Second Language Instruction
Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
Academic Senate for California Community Colleges, 2019
Shifting demographics within the state of California and more specifically within the California Community College System have created a need for equitable processes to promote the success of students. Students who enter community colleges should be afforded the same level of support whether they enter virtually or in-person. The development of…
Descriptors: Community Colleges, Two Year College Students, Online Courses, Tutoring
Wang, Shuhan – ProQuest LLC, 2019
A common drawback in traditional language education is that all students in the same class use the same content. Since students may have different backgrounds such as prior knowledge and learning speed, one single curriculum may not be able to accommodate every student. Unfortunately, most students cannot afford personalized language learning,…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
Smithberger, Leanna K. – Communication Center Journal, 2016
Communication centers can benefit from the facilitation training literature currently used in the areas of leadership, consulting, and dialogue and deliberation. Skills such as remaining "substantively neutral" or "passionately impartial," knowing when to intervene, active listening, self-monitoring, questioning and…
Descriptors: Facilitators (Individuals), Skill Development, Communication (Thought Transfer), Academic Support Services
Poitras, Eric G.; Lajoie, Susanne P.; Doleck, Tenzin; Jarrell, Amanda – Educational Technology & Society, 2016
Learner modeling, a challenging and complex endeavor, is an important and oft-studied research theme in computer-supported education. From this perspective, Educational Data Mining (EDM) research has focused on modeling and comprehending various dimensions of learning in computer-based learning environments (CBLE). Researchers and designers are…
Descriptors: Intelligent Tutoring Systems, Data, Data Analysis, Medical Evaluation
Dimitrova, Vania; Brna, Paul – International Journal of Artificial Intelligence in Education, 2016
STyLE-OLM (Dimitrova 2003 "International Journal of Artificial Intelligence in Education," 13, 35-78) presented a framework for interactive open learner modelling which entails the development of the means by which learners can "inspect," "discuss" and "alter" the learner model that has been jointly…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Interaction
Ohlsson, Stellan – International Journal of Artificial Intelligence in Education, 2016
The ideas behind the constraint-based modeling (CBM) approach to the design of intelligent tutoring systems (ITSs) grew out of attempts in the 1980's to clarify how declarative and procedural knowledge interact during skill acquisition. The learning theory that underpins CBM was based on two conceptual innovations. The first innovation was to…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Learning Theories
Wallace, Colin S.; Prather, Edward E.; Hornstein, Seth D.; Burns, Jack O.; Schlingman, Wayne M.; Chambers, Timothy G. – Physics Teacher, 2016
Light and spectroscopy are among the most important and frequently taught topics in introductory college-level general education astronomy courses (hereafter Astro 101). This is due to the fact that the vast majority of observational data studied by astronomers arrives at Earth in the form of light. While there are many processes by which matter…
Descriptors: Radiation, Molecular Structure, Tutoring, Lecture Method
Mercier, Julien; Bédard, Mélanie – Themes in Science and Technology Education, 2016
The efficacy of tutoring as an instructional strategy mainly lies on the moment-by-moment correspondence between the help provided by a tutor and the tutee's learning needs. The model presented in this paper emphasizes the pivotal role of monitoring and regulation, both by the tutor and the tutee, in attaining and maintaining affective and…
Descriptors: Neurosciences, Tutoring, Measurement Techniques, Scaffolding (Teaching Technique)
Graesser, Arthur C. – Grantee Submission, 2016
AutoTutor helps students learn by holding a conversation in natural language. AutoTutor is adaptive to the learners' actions, verbal contributions, and in some systems their emotions. Many of AutoTutor's conversation patterns simulate human tutoring, but other patterns implement ideal pedagogies that open the door to computer tutors eclipsing…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Communication Strategies, Dialogs (Language)
Allen, Laura K.; Jacovina, Matthew E.; Dascalu, Mihai; Roscoe, Rod D.; Kent, Kevin M.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2016
This study investigates how and whether information about students' writing can be recovered from basic behavioral data extracted during their sessions in an intelligent tutoring system for writing. We calculate basic and time-sensitive keystroke indices based on log files of keys pressed during students' writing sessions. A corpus of prompt-based…
Descriptors: Essays, Writing Processes, Writing (Composition), Writing Instruction

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