Abstract
T-algebra is an interactive learning environment for step-by-step solving algebra problems, including linear equations. A step in T-algebra combines conversion by rules with entering of the result. The rules, which correspond to the steps of school algorithms, give the program information about the student’s intentions and enable the program to check the knowledge of the student, to understand the mistakes and give feedback. T-algebra is intended to help learning solution algorithms and their steps with designed rules. This article describes the rules designed for linear equation solving in T-algebra.
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Alpert, S.R., Singley, M.K., Fairweather, P.G.: Deploying Intelligent Tutors on the Web: An Architecture and an Example. International Journal of Artificial Intelligence in Education 10(2), 183–197 (1999)
Beeson, M.: MathXpert: un logiciel pour aider les élèves à apprendre les mathématiques par l’action. Sciences et Techniques Educatives 9(1-2) (2002)
Issakova, M.: Possible Mistakes during Linear Equation Solving on Paper and In T-algebra Environment. In: Proceedings of the 7th International Conference on Technology in Mathematics Teaching, Bristol, UK, vol. 1, pp. 250–258 (2005)
Nicaud, J., Bouhineau, D., Chaachoua, H.: Mixing microworld and cas features in building computer systems that help students learn algebra. International Journal of Computers for Mathematical Learning 5(2), 169–211 (2004)
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© 2006 Springer-Verlag Berlin Heidelberg
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Issakova, M. (2006). Learning Linear Equation Solving Algorithm and Its Steps in Intelligent Learning Environment. In: Ikeda, M., Ashley, K.D., Chan, TW. (eds) Intelligent Tutoring Systems. ITS 2006. Lecture Notes in Computer Science, vol 4053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11774303_81
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DOI: https://doi.org/10.1007/11774303_81
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35159-7
Online ISBN: 978-3-540-35160-3
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