Abstract
The article focuses on the need to maintain data from the digital educational footprint throughout the student’s life in the frame of institutional, corporate and independent learning. The grounds for decision-making such as the scope of the learning situation and the depth of analysis are identified. The possibilities of multidimensional analysis and cognitive computer graphics to enhance decision-making in LMS are considered. The advantages of Chernoff faces and their modifications are emphasized. It is suggested to form an image of a specialist in the form of an anthropomorphic figure and overlay individual attributes from the digital educational footprint of a student. The method of Unified Graphic Visualization of Activity (UGVA) is described. It allows forming images of specialists, comparing them with each other, and estimating the balance of educational material contribution. An example of the formation of a specific profile for the academic program “Informatics and Computer Science” and its visualization in UGVA notation is given. Images are formed for several students, including current learning achievements from individual digital educational footprints (competence aspect). The example is accompanied by recommendations for teachers of the academic department implementing the corresponding program in Siberian Federal University.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rhona, S., Beetham, H., De Freitas, S.: Rethinking Learning for a Digital Age: How Learners are Shaping their Own Experiences. Routledge, New York (2010). https://doi.org/ https://doi.org/10.4324/9780203852064
Uglev, V.: Visual decision support for curriculum development using the UGVA method. Artific. Intell. Dec. Mak. 2, 95–105 (2022). (in Russian)
Gunning, D., Stefik, M., Choi, J., Miller, T., Stumpf, S., Yang, G.Z.: XAI – explainable artificial intelligence. Sci. Robot. 4 (2019). https://doi.org/10.1126/scirobotics.aay7120
Han, J., Kamber, M., Pei, J.: Data mining concepts and techniques third edition. The Morgan Kaufmann Series in Data Management Systems (2011)
Chernoff, H.: The use of faces to represent points in k-dimensional space graphically. J. Am. Statist. Assoc. 68, 361–368 (1973). https://doi.org/10.1080/01621459.1973.10482434
Jones, D.: The Inventions of Daedalus: A Compendium of Plausible Schemes. WH Freeman (1982)
Cene, E., Parim, C., Özkan, B.: Comparing the performance of basketball players with decision trees and TOPSIS. Data Sci. Appl. 1, 21–28 (2018)
Filimonov, V.: Method for cognitive visualization multi-parameter system components. In: XIII International Conference on Robotics and Artificial Intelligence. pp. 161–172 (2021). (in Russian)
Kukharev, G., Kaziyeva, N.: Digital facial anthropometry: application and implementation. Pattern Recogn. Image Anal. 30(3), 496–511 (2020). https://doi.org/10.1134/S1054661820030141. (Springer)
Anokhin, P.: The functional system as a unit of organism integrative activity. In: Mesarović, M.D. (ed.) Systems Theory and Biology, pp. 376–403. Springer, Heidelberg (1968). https://doi.org/10.1007/978-3-642-88343-9_15
Uglev, V., Ustinov, V.: The new competencies development level expertise method within Intelligent Automated Educational Systems. In: Bajo Perez, J., et al. (eds.) Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. AISC, vol. 293, pp. 157–164. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07476-4_19
Buchanan, B., Shortliffe, E.: Rule-based Expert System: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley, New York (1984)
Uglev, V., Sychev, O.: Concentrating competency profile data into Cognitive Map of Knowledge Diagnosis. In: Basu, A., Stapleton, G., Linker, S., Legg, C., Manalo, E., Viana, P. (eds.) Diagrams 2021. LNCS (LNAI), vol. 12909, pp. 443–446. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-86062-2_46
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Uglev, V. (2023). Unified Graphic Visualization of Activity (UGVA) Method. In: Krouska, A., Troussas, C., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022). NiDS 2022. Lecture Notes in Networks and Systems, vol 556. Springer, Cham. https://doi.org/10.1007/978-3-031-17601-2_25
Download citation
DOI: https://doi.org/10.1007/978-3-031-17601-2_25
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-17600-5
Online ISBN: 978-3-031-17601-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)