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Issue No.03 - July-September (2008 vol.15)
pp: 64-68
Jie Yang , Carnegie Mellon University
Lisa Anthony , Carnegie Mellon University
ABSTRACT
This article explores handwriting recognition-based interfaces in intelligent tutoring systems for students learning algebra equations.
INDEX TERMS
handwriting input, handwriting recognition, mathematics learning, intelligent tutoring systems, algebra equation solving
CITATION
Jie Yang, Lisa Anthony, "Toward Next-Generation, Intelligent Tutors: Adding Natural Handwriting Input", IEEE MultiMedia, vol.15, no. 3, pp. 64-68, July-September 2008, doi:10.1109/MMUL.2008.73
REFERENCES
1. C. Wood, "Education," PC Magazine, 2002, http://www.pcmag.com/article20,4149,15154,00.asp .
2. A.T. Corbett, "Cognitive Computer Tutors: Solving the Two-Sigma Problem," Proc. User Modeling, A. Kobsa et al. ed. LNCS 2109, Springer, 2001, pp. 137-147.
3. R.E. Mayer, Multimedia Learning, Cambridge Univ. Press, 2001.
4. Nat'l Center for Education Statistics, , Int'l Outcomes of Learning in Mathematics Literacy and Problem Solving, 2005, http://nces.ed.gov/pubs20052005003.pdf.
5. L. Anthony, J. Yang, and K.R. Koedinger, "Evaluation of Multimodal Input for Entering Mathematical Equations on the Computer," Proc. Conf. Human Factors in Computing Systems (CHI), ACM Press, 2005, pp. 1184-1187.
6. L. Anthony, J. Yang, and K.R. Koedinger, "Benefits of Handwritten Input for Students Learning Algebra Equation Solving," Proc. Artificial Intelligence in Education, IOS Press, 2007, pp. 521-523.
7. J. Sweller, "Cognitive Load During Problem Solving: Effects on Learning," Cognitive Science, vol. 12, no. 2, 1988, pp. 257-285.
8. K.R. Koedinger and V. Aleven, "Exploring the Assistance Dilemma in Experiments with Cognitive Tutors," Educational Psychology Rev, vol. 19, no. 3, 2007, pp. 239-264.
9. B.Y. White and J.R. Frederiksen, "Inquiry, Modeling, and Metacognition: Making Science Accessible to all Students," Cognition and Instruction, vol. 16, no. 1, 1998, pp. 3-118.
10. J.R. Anderson et al., "Cognitive Tutors: Lessons Learned," J. Learning Sciences, vol. 4, no. 2, 1995, pp. 167-207.
11. S. Smithies, K. Novins, and J. Arvo, "Equation Entry and Editing via Handwriting and Gesture Recognition," Behaviour &Information Technology, vol. 20, no. 1, 2001, pp. 53-67.
12. E. Tapia and R. Rojas, "Recognition of On-Line Handwritten Mathematical Expressions Using a Minimum Spanning Tree Construction and Symbol Dominance," Graphics Recognition: Recent Advances &Perspectives, J. Lladós, and Y.-B Kwon eds. LNCS 3088, Springer, 2004, pp. 329-340.
13. R. Zanibbi, D. Blostein, and J.R. Cordy, "Recognizing Mathematical Expressions Using Tree Transformation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 11, 2002, pp. 1455-1467.
14. V.I. Levenshtein, "Binary Codes Capable of Correcting Deletions, Insertions, and Reversals," Soviet Physics Doklady, vol. 10, no. 8, 1966, pp. 707-710.
15. L. Anthony, J. Yang, and K.R. Koedinger, "Adapting Handwriting Recognition for Applications in Algebra Learning," Proc. ACM Workshop Educational Multimedia and Multimedia Education, ACM Press, 2007, pp. 47-56.
16. S. Oviatt, "Taming Recognition Errors with a Multimodal Interface," Comm. ACM, vol. 43, no. 9, 2000, pp. 45-51.
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