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Kojima, Kazuaki; Miwa, Kazuhisa; Matsui, Tatsunori – International Journal of Artificial Intelligence in Education, 2013
Problem posing, by which learners create new problems by themselves, is an important activity in mathematics education. However, novice learners have difficulty in posing problems, particularly when formulating appropriate solution structures of problems. Although they are provided with example problems that can serve as hints for composing novel…
Descriptors: Foreign Countries, Mathematics Education, Problem Solving, Learning Strategies
Jackson, G. Tanner; Varner, Laura K.; Boonthum-Denecke, Chutima; McNamara, Danielle S. – Grantee Submission, 2013
Educational games have the potential to provide motivating, effective training; however, the efficacy of these systems is unclear, and evaluations often fail to identify the relative impact of individual differences on learning outcomes. The current study aims to address these issues by comparing the learning gains from an educational game…
Descriptors: Educational Games, Intelligent Tutoring Systems, Program Effectiveness, High School Students
Varner, Laura K.; Jackson, G. Tanner; Snow, Erica L.; McNamara, Danielle S. – Grantee Submission, 2013
This study expands upon an existing model of students' reading comprehension ability within an intelligent tutoring system. The current system evaluates students' natural language input using a local student model. We examine the potential to expand this model by assessing the linguistic features of self-explanations aggregated across entire…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Natural Language Processing, Reading Ability
Jackson, G. Tanner; Snow, Erica L.; Varner, Laura K.; McNamara, Danielle S. – Grantee Submission, 2013
Intelligent Tutoring Systems (ITSs) have begun to develop hybrid systems that balance the learning benefits of ITSs with the motivational benefits of games. iSTART-ME (Motivationally Enhanced) is a new game-based learning environment developed on top of an existing ITS for reading comprehension (iSTART). In an 11 session lab-based study, 40 high…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Educational Games
Samarakou, M.; Fylladitakis, E. D.; Tsaganou, G.; Gelegenis, J.; Karolidis, D.; Prentakis, P. – International Association for Development of the Information Society, 2013
Theoretical education is mainly based on university text-books, which usually include texts not structured according to any theory of text comprehension. Structuring a text is a demanding process. Text should be organized and structured in order to include descriptions on micro and macro-level representation of the knowledge domain. Since this is…
Descriptors: Case Studies, Text Structure, Textbooks, Reading Comprehension
Gaeta, Matteo; Mangione, Giuseppina Rita; Miranda, Sergio; Orciuoli, Francesco – International Association for Development of the Information Society, 2013
This work proposes the definition of an Adaptive Conversation-based Learning System (ACLS) able to foster computer-mediated tutorial dialogues at the workplace in order to increase the probability to generate meaningful learning during conversations. ACLS provides a virtual assistant selecting the best partner to involve in the conversation and…
Descriptors: Feedback (Response), Computer Mediated Communication, Workplace Learning, Tutorial Programs
Kehrer, Paul; Kelly, Kim; Heffernan, Neil – Grantee Submission, 2013
Much of the literature surrounding the effectiveness of intelligent tutoring systems has focused on the type of feedback students receive. Current research suggests that the timing of feedback also plays a role in improved learning. Some researchers have shown that delaying feedback might lead to a "desirable difficulty", where students'…
Descriptors: Homework, Feedback (Response), Grade 7, Mathematics Instruction
Zhang, Yu – Economics of Education Review, 2013
With the increasing attention on improving student achievement, private tutoring has been expanding rapidly worldwide. However, the evidence on the effect of private tutoring is inconclusive for education researchers and policy makers. Employing a comprehensive dataset collected from China in 2010, this study tries to identify the effect of…
Descriptors: Academic Achievement, Tutoring, Foreign Countries, Urban Schools
Singh, Ajay, Ed.; Yeh, Chia Jung, Ed.; Blanchard, Sheresa, Ed.; Anunciação, Luis, Ed. – IGI Global, 2021
Rehabilitation professionals working with students with disabilities and the families of those students face unique challenges in providing inclusive services to special education student populations. There needs to be a focus on adaptive teaching methods that provide quality experience for students with varying disabilities to promote student…
Descriptors: Students with Disabilities, Inclusion, Special Education, Teaching Methods
Chou, Chih-Yueh; Huang, Bau-Hung; Lin, Chi-Jen – Computers & Education, 2011
This study proposes a virtual teaching assistant (VTA) to share teacher tutoring tasks in helping students practice program tracing and proposes two mechanisms of complementing machine intelligence and human intelligence to develop the VTA. The first mechanism applies machine intelligence to extend human intelligence (teacher answers) to evaluate…
Descriptors: Intelligence, Teaching Assistants, Tutoring, Evaluation
Deiglmayr, Anne; Spada, Hans – Learning and Instruction, 2011
Groups typically have difficulties drawing inferences that integrate individuals' unique information (collaborative inferences) and thus yield a true assembly bonus. An experiment with 36 dyads of university-level students in four training conditions showed, particularly in untrained dyads, that collaborative inferences were less likely to be…
Descriptors: Testing, Inferences, Information Processing, Tutoring
Brown, Ashland O.; Jensen, Daniel; Rencis, Joseph; Wood, Kristin; Wood, John; White, Christina; Raaberg, Kristen Kaufman; Coffman, Josh – Advances in Engineering Education, 2012
The purpose of active learning is to solicit participation by students beyond the passive mode of traditional classroom lectures. Reading, writing, participating in discussions, hands-on activities, engaging in active problem solving, and collaborative learning can all be involved. The skills acquired during active learning tend to go above and…
Descriptors: Active Learning, Tutoring, Engineering Education, Computer Assisted Instruction
Alvarez Xochihua, Omar – ProQuest LLC, 2012
Intelligent Tutoring Systems (ITS) have a significant educational impact on student's learning. However, researchers report time intensive interaction is needed between ITS developers and domain-experts to gather and represent domain knowledge. The challenge is augmented when the target domain is ill-defined. The primary problem resides in…
Descriptors: Intelligent Tutoring Systems, Knowledge Level, Demonstrations (Educational), Knowledge Representation
Benoit, Sherry Waldon – ProQuest LLC, 2012
The purpose of this phenomenological study was to examine the stories of the study participants in an effort to understand why students voluntarily sought peer-tutoring, what impact they felt the peer-tutoring had on their academic success, and how they perceived the relationship with their tutor. Narrative inquiry was used to collect data through…
Descriptors: Undergraduate Students, Student Experience, Peer Teaching, Tutoring
Wilson, Travis; Perry, Michelle; Anderson, Carolyn J.; Grosshandler, Dean – Instructional Science: An International Journal of the Learning Sciences, 2012
This study examined the verbal prompts a tutor used to promote reflection and young students' responses to these prompts. Seven children (ages 8-12) participated in 260 min of one-on-one tutoring to learn scientific concepts related to gear movement; the tutor spontaneously provided these students with 763 prompts for reflection. Prompts reliably…
Descriptors: Investigations, Discourse Analysis, Scientific Concepts, Tutors

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