Abstract
The use of computer-based mathematics tools is widespread in learning. Depending on the way that these tools assess the learner’s solution paths, one can distinguish between automatic assessment tools and semi-automatic assessment tools. Automatic assessment tools directly provide all feedback necessary to the learners, while semi-automatic assessment tools involve the teachers as part the assessment process. They are provided with as much information as possible on the learners’ interactions with the tool.
How can the teachers know how the learning tools were used and which intermediate steps led to a solution? How can the teachers respond to a learner’s question that arises while using a computer tool? Little is available to answer this beyond interacting directly with the computer and performing a few manipulations to understand the tools’ state.
This paper presents SMALA, a web-based logging architecture that addresses these problems by recording, analyzing and representing user actions. While respecting the learner’s privacy, the SMALA architecture supports the teachers by offering fine-grained representations of the learners’ activities as well as overviews of the progress of a classroom.
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References
Michèle Artigue and International Group of Experts on Science and Mathematics Education Policies. Les défis de l’enseignement des mathématiques dans l’éducation de base. Number 191776 - UNESCO Archive, IBE Geneva (2011)
Aleven, V., McLaren, B., Sewall, J., Koedinger, K.: A new paradigm for intelligent tutoring systems: Example-tracing tutors. International Journal of Artificial Intelligence in Education 20 (2009)
Bescherer, C., Herding, D., Kortenkamp, U., Müller, W., Zimmermann, M.: E-learning tools with intelligent assessment and feedback. In: Graf, S., Lin, F., Kinshuk, McGreal, R. (eds.) Intelligent and Adaptive Learning Systems: Technology Enhanced Support for Learners and Teachers. IGI Global, Addison Wesley (2011) (in press)
Drijvers, P., Trouche, L.: From artifacts to instruments: a theoretical framework behind the orchestra metaphor. In: Heid, K., Blume, G. (eds.) Research on Technology and the Teaching and Learning of Mathematics, Information Age, Charlotte, NC, USA, pp. 363–392 (2008)
Fest, A.: Creating interactive user feedback in DGS using scripting interfaces. Acta Didactica Napocensia 3(2) (2010)
Guéraud, V., Cagnat, J.-M.: Automatic Semantic Activity Monitoring of Distance Learners Guided by Pedagogical Scenarios. In: Nejdl, W., Tochtermann, K. (eds.) EC-TEL 2006. LNCS, vol. 4227, pp. 476–481. Springer, Heidelberg (2006)
Goguadze, G.: Representation for Interactive Exercises. In: Carette, J., Dixon, L., Coen, C.S., Watt, S.M. (eds.) MKM 2009, Held as Part of CICM 2009. LNCS, vol. 5625, pp. 294–309. Springer, Heidelberg (2009)
Fontenla González, J., Rodríguez, M., Nistal, M., Anido Rifón, L.: Reverse oauth: A solution to achieve delegated authorizations in single sign-on e-learning systems. Computers and Security 28(8), 843–856 (2009)
Herding, D., Schroeder, U.: Using capture & replay for semi-automatic assessment. In: Whitelock, D., Warburton, W., Wills, G., Gilbert, L. (eds.) CAA 2011 International Conference (2011)
Jovanovic, J., Gasevic, D., Brooks, C., Devedzic, V., Hatala, M., Eap, T., Richards, G.: LOCO-Analyst: semantic web technologies in learning content usage analysis. International Journal of Continuing Engineering Education and Life Long Learning 18(1), 54–76 (2008)
Koedinger, K., Anderson, J., Hadley, W., Mark, M.: Intelligent tutoring goes to school in the big city. IJAIED 8(1) (1997)
Melis, E., McLaren, B., Solomon, S.: Towards Accessing Disparate Educational Data in a Single, Unified Manner. In: Dillenbourg, P., Specht, M. (eds.) EC-TEL 2008. LNCS, vol. 5192, pp. 280–283. Springer, Heidelberg (2008)
Rebholz, S., Zimmermann, M.: Applying computer-aided intelligent assessment in the context of mathematical induction. In: eLearning Baltics 2011. Fraunhofer Verlag, Stuttgart (2011)
Spannagel, C., Gläser-Zikuda, M., Schroeder, U.: Application of qualitative content analysis in user-program interaction research. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research 6(2) (2005)
Zinn, C., Scheuer, O.: Getting to Know Your Student in Distance Learning Contexts. In: Nejdl, W., Tochtermann, K. (eds.) EC-TEL 2006. LNCS, vol. 4227, pp. 437–451. Springer, Heidelberg (2006)
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Libbrecht, P., Rebholz, S., Herding, D., Müller, W., Tscheulin, F. (2012). Understanding the Learners’ Actions when Using Mathematics Learning Tools. In: Jeuring, J., et al. Intelligent Computer Mathematics. CICM 2012. Lecture Notes in Computer Science(), vol 7362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31374-5_8
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DOI: https://doi.org/10.1007/978-3-642-31374-5_8
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