Examat: Intelligent exercise services for mathematics learning
Research output: Contributions to collected editions/works › Article in conference proceedings › Research
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Examat : Intelligent exercise services for mathematics learning. / Goguadze, Giorgi.
Open Learning and Teaching in Educational Communities: 9th European Conference on Technology Enhanced Learning, EC-TEL 2014, Graz, Austria, September 16-19, 2014, Proceedings. ed. / Christoph Rensing; Sara Freitas; Tobias Ley; Pedro J. Muñoz-Merino. Springer, 2014. p. 566-567 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8719).Research output: Contributions to collected editions/works › Article in conference proceedings › Research
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TY - CHAP
T1 - Examat
T2 - 9th European Conference on Technology Enhanced Learning, EC-TEL 2014
AU - Goguadze, Giorgi
N1 - Conference code: 9
PY - 2014
Y1 - 2014
N2 - One of the major achievements of Intelligent Tutoring Systems is the ability to provide deep diagnosis and intelligent feedback upon user actions in an inner loop of an interactive exercise. In this work, we develop a platform that hosts remote interactive exercises that can be plugged into any browser-based environment. The system supports two feedback modes - a training mode with step-by-step evaluation of student's answer with immediate error-feedback and hint sequences, and a homework or assessment mode, in which a student can enter a complete multi-step solution of a problem, submit it into the system and receive delayed feedback to each made step. Such a detailed analysis of student solutions is provided by the context-aware domain modules used as back-engines.
AB - One of the major achievements of Intelligent Tutoring Systems is the ability to provide deep diagnosis and intelligent feedback upon user actions in an inner loop of an interactive exercise. In this work, we develop a platform that hosts remote interactive exercises that can be plugged into any browser-based environment. The system supports two feedback modes - a training mode with step-by-step evaluation of student's answer with immediate error-feedback and hint sequences, and a homework or assessment mode, in which a student can enter a complete multi-step solution of a problem, submit it into the system and receive delayed feedback to each made step. Such a detailed analysis of student solutions is provided by the context-aware domain modules used as back-engines.
KW - Mathematics
KW - Computer aided instruction
KW - Context-Aware
KW - Delayed feedback
KW - Domain modules
KW - Feedback mode
KW - Interactive exercise
KW - Mathematics learning
KW - System supports
KW - Interactive exercise
KW - System supports
KW - Mathematics learning
KW - Computer aided instruction Context-Aware
KW - Delayed feedback
KW - Domain modules
KW - Feedback mode
KW - Intelligent tutoring system
KW - Error Feedback
KW - Mathematic Learn
KW - Training Mode
UR - http://www.scopus.com/inward/record.url?scp=84906330528&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-11200-8_72
DO - 10.1007/978-3-319-11200-8_72
M3 - Article in conference proceedings
AN - SCOPUS:84906330528
SN - 978-3-319-11199-5
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 566
EP - 567
BT - Open Learning and Teaching in Educational Communities
A2 - Rensing, Christoph
A2 - Freitas, Sara
A2 - Ley, Tobias
A2 - Muñoz-Merino, Pedro J.
PB - Springer
Y2 - 16 September 2014 through 19 September 2014
ER -