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A Comparative study on Intelligent Tutoring Systems fostering Self Regulated Learning

Lekshmi A, Prathibha. S Nair
2014 IOSR Journal of Computer Engineering  
Educational data mining is an emerging research area where the traditional data mining techniques are applied on Intelligent Tutoring System (ITS) to study the learning pattern of students.  ...  An agent-based ITS that fosters the use of Self Regulated Learning (SRL) processes mainly concentrates on two questions: (1) How can students be grouped according to their performance and their type of  ...  As a learning tool, MetaTutor has various features that uses and fosters self-regulated learning.  ... 
doi:10.9790/0661-16261421 fatcat:jiqcyqma6bbr5jjxwqaxroxfmy

Considering Alternate Futures to Classify Off-Task Behavior as Emotion Self-Regulation: A Supervised Learning Approach

Jennifer L. Sabourin, Jonathan P. Rowe, Bradford W. Mott, James C. Lester
2013 Zenodo  
Empirical findings imply that some students may use off-task behavior as a strategy for self-regulating negative emotional states during learning.  ...  Based on these observations, we introduce a supervised machine learning procedure for detecting whether students' off-task behaviors are cases of emotion self-regulation.  ...  ACKNOWLEDGEMENTS The authors wish to thank members of the IntelliMedia Group for their assistance, Omer Additional thanks to Ryan Baker for helpful discussions about modeling off-task behavior and affect  ... 
doi:10.5281/zenodo.3554607 fatcat:nxzku534wrbg7euzfqlkcb7mmu

Fostering the Intelligent Novice: Learning From Errors With Metacognitive Tutoring

Santosh A. Mathan, Kenneth R. Koedinger
2005 Educational Psychologist  
A system based on an intelligent novice model allows students to make certain reasonable errors, and provides guidance through the exercise of error detection and correction skills.  ...  There are two pedagogical motivations for feedback based on an intelligent novice model.  ...  For instance, Butler and Winne (1995) identified several skills that characterize self-regulated learning.  ... 
doi:10.1207/s15326985ep4004_7 fatcat:pbkfpnuzhndw7ef4zbpysnylvq

Self-Regulated Learning in Flipped Classrooms: A Systematic Literature Review

Rasheed Abubakar Rasheed, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur Malaysia, Amirrudin Kamsin, Nor Aniza Abdullah, Habeebah Adamu Kakudi, Auwal Shehu Ali, Ahmad Sanda Musa, Adamu Sani Yahaya
2020 International Journal of Information and Education Technology  
The flipped classroom is considered an instructional strategy and a type of blended learning instruction that focused on active learning and student engagement.  ...  This study investigates the self-regulation strategies as well as the supports proposed for self-regulated learning in flipped classrooms.  ...  Intelligent Tutoring System (ITS) for supporting students in programming tasks V.  ... 
doi:10.18178/ijiet.2020.10.11.1469 fatcat:ak2ayxhapzd5pdzooly5ukmmdm

Self-regulated Learning with MetaTutor: Advancing the Science of Learning with MetaCognitive Tools [chapter]

Roger Azevedo, Amy Johnson, Amber Chauncey, Candice Burkett
2010 New Science of Learning  
Acknowledgments The research presented in this paper has been supported by funding from the National Science Foundation (Early Career Grant DRL 0133346, DRL 0633918, DRL 0731828, HCC 0841835) awarded to  ...  , intelligent tutoring systems like MetaTutor.  ...  In order to facilitate students' understanding of challenging science topics, the system would ideally need to dynamically modify its scaffolding methods to foster the students' self-regulatory behavior  ... 
doi:10.1007/978-1-4419-5716-0_11 fatcat:abh6nuklnzgv5k73ly55qxiln4

A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect

Ivon Arroyo, Beverly Park Woolf, Winslow Burelson, Kasia Muldner, Dovan Rai, Minghui Tai
2014 International Journal of Artificial Intelligence in Education  
Student affect within the tutor was measured through sensors and Int student self-reports, and supported through affective learning companions and progress reports.  ...  Collectively, these studies elucidate a suite of effective strategies to support advanced personalized learning via an intelligent adaptive tutor that can be tailored to the individual needs, emotions,  ...  , and Learning and by the Office of Naval Research, # N0001413C0127 STEM Grand Challenges: Building an Effective and Efficient OPEN Tutor Platform.  ... 
doi:10.1007/s40593-014-0023-y fatcat:gsftv5iflrehpk32rj65cz7w4m

Recognizing and Responding to Student Affect [chapter]

Beverly Woolf, Toby Dragon, Ivon Arroyo, David Cooper, Winslow Burleson, Kasia Muldner
2009 Lecture Notes in Computer Science  
One goal of this research is to integrate tools that model student affect into intelligent tutors and enable tutors to elicit, sense, communicate, measure and respond to student affect.  ...  This article presents multiple solutions towards this goal and discusses systems that begin to redress the cognitive vs. affective imbalance in teaching.  ...  Acknowledgement We acknowledge contributions to the system development from Rana el Kaliouby, Ashish Kapoor, Ken Perlin, Selene Mota and Carson Reynolds.  ... 
doi:10.1007/978-3-642-02580-8_78 fatcat:2i2hmwkl3jgkpbtmhrkoyeoroy

Intelektinė daugiaagentė mokymosi sistema, naudojanti edukacinių duomenų tyrybą

Eugenijus Kurilovas, Jaroslav Meleško, Irina Krikun
2018 Informacijos mokslai  
In another study by Trevors, Duffy and Azevedo (2014) we examined how one such HLE---\\nMetaTutor, an intelligent, multi-agent tutoring system designed to scaffold cognitive and\\nmetacognitive self-regulated  ...  This study demonstrates that agents' prompts and feedback within a computerbased learning environment foster learning behaviours, such as an increased use of self-regulated learning strategies and time  ... 
doi:10.15388/im.2017.79.11381 fatcat:vdtxf3uctbfx7cp7jfhzqmqe3u

Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system

Melissa C. Duffy, Roger Azevedo
2015 Computers in Human Behavior  
In this study, we examined the influence of achievement goals and scaffolding on self-regulated learning (SRL) and achievement within MetaTutor, a multi-agent intelligent tutoring system.  ...  Findings are discussed in relation to the role of motivation in self-regulated learning within computer-based learning environments.  ...  We conducted this research within MetaTutor, an intelligent tutoring system designed to help students learn about the human circulatory system by scaffolding cognitive and metacognitive self-regulatory  ... 
doi:10.1016/j.chb.2015.05.041 fatcat:hc4jwt4fpze5pbur6wni7cgiby

Extending the Scaffolding Metaphor

Susanne P. Lajoie
2005 Instructional Science  
Additionally, they provide empirical research that addresses the inter-relatedness and dynamics of self regulated learning (SRL) variables: cognitive, motivational/affective, behavioral, and contextual  ...  tutors or support tools designed for learning environments).  ...  and education and intelligent tutoring systems. 1 There is an extensive literature on intelligent tutoring systems, that includes the process of scaffolding, that cannot be summarized in this paper but  ... 
doi:10.1007/s11251-005-1279-2 fatcat:jb4iweu4gjh6davnulaggx2oqq

Artificial intelligence based efficient smart learning framework for education platform

2020 Inteligencia Artificial  
These requirements may be identified by analyzing learning performance, behaviors, and the real-world and online settings in which students are situated.  ...  Artificial intelligence makes decisions about regulating the physical aspects of the environment or learning systems.  ...  This means AI-based smart learning if students can control their learning (self-regulated learning).  ... 
doi:10.4114/intartif.vol23iss66pp112-123 fatcat:zunw5yh5drbabl264vgt33nnvy

Do You Think You Can? The Influence of Student Self-Efficacy on the Effectiveness of Tutorial Dialogue for Computer Science

Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
2016 International Journal of Artificial Intelligence in Education  
In recent years, significant advances have been made in intelligent tutoring systems, and these advances hold great promise for adaptively supporting computer science (CS) learning.  ...  Student control, social dialogue, and tutor moves to increase efficiency, may be particularly helpful for high self-efficacy students, while for low selfefficacy students, guided experimentation may foster  ...  Acknowledgments This work is supported in part by the North Carolina State University Department of Computer Science and the National Science Foundation through Grant DRL-1007962, IIS-1409639, and CNS1453520  ... 
doi:10.1007/s40593-015-0091-7 fatcat:ymprxv2gcfcfxnbanzfgjhlpzq

How an online tutor motivates E-learning English

Fredy Geovanni Escobar Fandiño, Angela Juliette Silva Velandia
2020 Heliyon  
The motivation to learn a foreign language is a complex process. It is the analysis of related aspects such as the role of the tutor in E-learning.  ...  The results let assume that the role of the tutor can influence in the motivation to learn a foreign language, while optimizing communication processes.  ...  , which is basically controlled by environmental contingencies; (2) introjected regulation, in which the individual primarily internalizes contingencies; (3) identified regulation, in which the individual  ... 
doi:10.1016/j.heliyon.2020.e04630 pmid:32793837 pmcid:PMC7415836 fatcat:kfyzf6witvfcpe2jqxyvsv24l4

Help Seeking and Help Design in Interactive Learning Environments

Vincent Aleven, Elmar Stahl, Silke Schworm, Frank Fischer, Raven Wallace
2003 Review of Educational Research  
, on-line help, self-regulation.  ...  Helping students to become better help seekers: Towards supporting metacognition in a Cognitive Tutor.  ...  Note This work was supported in part by the German-U.S. early career research exchange focusing on research on learning technologies and technology-supported education, funded by the National Science Foundation  ... 
doi:10.3102/00346543073003277 fatcat:rlf4ivxao5efbhs2ohqb7elo3m

Automatically Recognizing Facial Indicators of Frustration: A Learning-centric Analysis

Joseph F. Grafsgaard, Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester
2013 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction  
In order to advance understanding of learning-centered affect, this paper reports on a study to analyze a video corpus of computer-mediated human tutoring using an automated facial expression recognition  ...  The results represent a step toward a deeper understanding of learning-centered affective states, which will form the foundation for data-driven design of affective tutoring systems.  ...  ACKNOWLEDGMENTS This work is supported in part by the North Carolina State University Department of Computer Science and the National Science Foundation through Grant DRL-1007962 and the STARS Alliance  ... 
doi:10.1109/acii.2013.33 dblp:conf/acii/GrafsgaardWBWL13 fatcat:xk5ywob2hres5azr3ph26dgbmy
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