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A new method for tutorial gap identification towards students modeling

Atanu Das, Kaustuv Deb, Sonali Bajerjee, Rajib Bag
2017 Mathematical Modelling and Engineering Problems  
Students modeling is an integral part of any form of education and this becomes more challenging with the advent of new tools of ICT especially Intelligent Tutoring Systems (ITS).  ...  Prototype of the tool having integrated with the proposed method shows that the students can identify their tutorial requirement without the help of human tutor and hence discovering the student's understanding  ...  The model constructed by human tutors become more accurate with the experiences of the tutor. Such model construction is a difficult task and varies with teaching domains and teaching experiences.  ... 
doi:10.18280/mmep.040203 fatcat:vcllldn4svbv7oftztxc7cnxvq

Toward a Machine Learning Framework for Understanding Affective Tutorial Interaction [chapter]

Joseph F. Grafsgaard, Kristy Elizabeth Boyer, James C. Lester
2012 Lecture Notes in Computer Science  
This paper presents a descriptive hidden Markov model built upon facial expression data and tutorial dialogue within a task-oriented human-human tutoring corpus.  ...  Affect and cognition intertwine throughout human experience.  ...  This work is supported in part by the North Carolina State University Department of Computer Science along with the National Science Foundation through Grant DRL-1007962 and the STARS Alliance Grant CNS  ... 
doi:10.1007/978-3-642-30950-2_7 fatcat:t7ekyagit5dxxmxaer3zumfehi

Evaluation of a tool for Java structural specification checking

Anton Dil, Joseph Osunde
2018 Proceedings of the 10th International Conference on Education Technology and Computers - ICETC '18  
Such automated checks support human markers in assessing students' work and evaluating their own marking; online automated marking; students checking code before submitting it for marking; and question  ...  Questionnaires and interviews were used to gather feedback on the usefulness of the tool as a marking aid to humans, and on its potential usefulness to students for self-assessment when working on their  ...  The authors have shown that the automated marking is on a par with human marking and accepted by students.  ... 
doi:10.1145/3290511.3290528 dblp:conf/icetc/DilO18 fatcat:n4imamu3sbayhn5w6jki4r3zqq

Page 212 of Behavior Research Methods Vol. 24, Issue 2 [page]

1992 Behavior Research Methods  
Artificial intelligence and tutoring systems. Los Altos, CA: Morgan Kaufmann.  ...  A self-improving tutor for symbolic integration. In D. Sleeman & J. S. Brown (Eds.), Intelligent tutoring systems (pp. 283-308). New York; Academic Press. Lee, a. Y. (1989).  ... 

Automated tutoring for a database skills training environment

Claire Kenny, Claus Pahl
2005 Proceedings of the 36th SIGCSE technical symposium on Computer science education - SIGCSE '05  
The automated tutoring system should promote procedural knowledge acquisition and skills training. An automated tutoring feature is an integral part of this tutoring system.  ...  Feedback, assessment, and guidance are important features of this online courseware. Together, in the absence of a human tutor, they aid the student in the learning process.  ...  A basic implementation of the automated tutoring system analyses syntax and semantic errors.  ... 
doi:10.1145/1047344.1047377 dblp:conf/sigcse/KennyP05 fatcat:ntw2zxmt3jh77htlmuza7lmok4

Automated tutoring for a database skills training environment

Claire Kenny, Claus Pahl
2005 ACM SIGCSE Bulletin  
The automated tutoring system should promote procedural knowledge acquisition and skills training. An automated tutoring feature is an integral part of this tutoring system.  ...  Feedback, assessment, and guidance are important features of this online courseware. Together, in the absence of a human tutor, they aid the student in the learning process.  ...  A basic implementation of the automated tutoring system analyses syntax and semantic errors.  ... 
doi:10.1145/1047124.1047377 fatcat:yn3lwdwhq5hmhazp7fgvxlxvm4

Stupid Tutoring Systems, Intelligent Humans

Ryan S. Baker
2016 International Journal of Artificial Intelligence in Education  
The initial vision for intelligent tutoring systems involved powerful, multifaceted systems that would leverage rich models of students and pedagogies to create complex learning interactions.  ...  But the intelligent tutoring systems used at scale today are much simpler.  ...  integrated into the systems deployed at scale.  ... 
doi:10.1007/s40593-016-0105-0 fatcat:nlmqvskxobanvmnvvhcif6z6oa

Intelligent and adaptive tutoring for active learning and training environments

Claire Kenny, Claus Pahl
2009 Interactive Learning Environments  
We present a Web-based e-learning environment that integrates knowledge learning and skills training. How these tools are used most effectively is still an open question.  ...  We propose knowledgelevel interaction and adaptive feedback and guidance as central features.  ...  We aim to demonstrate that the automated tutor can replace some core functions of the human tutor.  ... 
doi:10.1080/10494820802090277 fatcat:bougugsjxrdmjn3npoqyr3usp4

Going Beyond Better Data Prediction to Create Explanatory Models of Educational Data [chapter]

Ran Liu, Kenneth R. Koedinger
2017 Handbook of Learning Analytics  
The vast majority of educational data mining research has focused on achieving pre-such as having parameters that map to interpretable constructs, having fewer parameters overall, and involving human input  ...  Here, we review educational models and, in turn, can lead to improvements to learning outcomes and/or learning theory.  ...  Integrating representation learning and skill learning in a human-like intelligent agent.  ... 
doi:10.18608/hla17.006 fatcat:2erhurm5rvarjixoldyvhh6qdu

Applications of Artificial Intelligence in an Open and Distance Learning institution

Mansor Fadzil, Tengku Amina Munira
2008 2008 International Symposium on Information Technology  
; as well as what are the advantages and limitations of computer-based systems in education.  ...  In this paper, we will explore several fields whereby AI could be potentially utilised in an ODL institution, i.e. expert system for programme advising; automated scheduling of classes; marking of assignments  ...  The system will generate statistical reports and these can then be analysed by the tutor or lecturer.  ... 
doi:10.1109/itsim.2008.4631532 fatcat:zavjns4upbd6nhpbmr4gndhgqe

Intelligent Tutoring Systems for Generation Z's Addiction [article]

Ioana R. Goldbach, Felix G. Hamza-Lup
2020 arXiv   pre-print
and important design decisions for Intelligent Tutoring System.  ...  Besides automated grading, strong potential exists for the development and deployment of next generation intelligent tutoring software agents.  ...  Among them, AutoTutor [7] is an intelligent guidance system that stimulates dialogue and has the pedagogical strategies of a human tutor.  ... 
arXiv:2005.05024v1 fatcat:olw7n2cn5ncpvcg7hcwhk36ehm

Development of Final Projects in Engineering Degrees around an Industry 4.0-Oriented Flexible Manufacturing System: Preliminary Outcomes and Some Initial Considerations

Isaías González, Antonio Calderón
2018 Education Sciences  
A number of scopes are covered by an FMS, such as automation, supervision, instrumentation, communications, and robotics.  ...  In addition, a set of initial considerations based on the experience acquired by the FP tutors is provided.  ...  Apart from FPs dealing with FMSs that are expounded in the present paper, the authors also tutor projects about industrial automation and supervision, automated renewable energy systems, and open source  ... 
doi:10.3390/educsci8040214 fatcat:sheksi4v3fduhiyq4tghbibcki

Improving QED-Tutrix by Automating the Generation of Proofs

Ludovic Font, Philippe R. Richard, Michel Gagnon
2018 Electronic Proceedings in Theoretical Computer Science  
Automated theorem proving in geometry is a widely studied subject, and various provers exist.  ...  QED-Tutrix is an intelligent tutor for geometry offering an interface to help high school students in the resolution of demonstration problems.  ...  The integrated tutor system analyzes his input and gives feedback depending on the validity of the statement. After a period of inactivity, the tutor gives him hint to restart his resolution process.  ... 
doi:10.4204/eptcs.267.3 fatcat:ltk6vod4ezdgzfiy23axok6foy

Mining Data for Student Models [chapter]

Ryan S. J. d. Baker
2010 Studies in Computational Intelligence  
Data mining methods have in recent years enabled the development of more sophisticated student models which represent and detect a broader range of student behaviors than was previously possible.  ...  We also discuss the relative advantages of educational data mining compared to knowledge engineering, and key upcoming directions that are needed for educational data mining research to reach its full  ...  Department of Education via grant "Promoting Robust Understanding of Genetics with a Cognitive Tutor that Integrates Conceptual Learning with Problem Solving", award number #R305A090549.  ... 
doi:10.1007/978-3-642-14363-2_16 fatcat:legpbaphrbhybm5vcid3ro3cay

Using hCard and vCard for improving usability in Moodle

B. Dragulescu, I. Ermalai, M. Bucos, M. Mocofan
2011 2011 6th IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)  
Lately, these practices have slowly but steadily changed direction, turning towards offering various automated solutions for processing web data.  ...  Extraction of web information has, so far, relied mostly on the human user's dexterity and patience.  ...  Microformats and RDFa are a first major step towards this desideratum and the present paper proposes methods of integrating them in the online framework used at the "Politehnica" University of Timisoara  ... 
doi:10.1109/saci.2011.5873050 dblp:conf/saci/DragulescuEBM11 fatcat:obtq3zccyrecjkwtrne5dw4cz4
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