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Erschienen in:
Analysis of a Lesson as an Educational Resource of Enhancing the Quality of Future Teacher Training Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Learning Outcomes Evaluation Based on Mixed Diagnostic Tests and Cognitive Graphic Tools

verfasst von : Anna E. Yankovskaya, Yury N. Dementev, Danil Y. Lyapunov, Artem V. Yamshanov

Erschienen in: Linguistic and Cultural Studies: Traditions and Innovations

Verlag: Springer International Publishing

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Abstract

In this paper, we discuss the relevance of students’ learning outcomes evaluation using computer-based testing. The learning process is based on mixed diagnostic tests. For the purpose of evaluation, we use the threshold, fuzzy logic and cognitive graphic tools. The construction of mixed diagnostic tests, representing a compromise between unconditional and conditional components, in order to develop students’ knowledge evaluation is proposed for a number of disciplines. We suggest a technique for optimal mixed diagnostic tests construction based on the expert knowledge of the subjects for effective learning. The developed approach is used for a number of both the humanities and technical disciplines. One of useful outcomes of mixed diagnostic tests application is the learning trajectory design for each individual. We construct students’ learning trajectory using the intelligent learning and testing system and suggest defining their inherent approach to the learning process within the problem area.

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Vorheriges Kapitel Problems of Education in the Context of Technoscience: Tradition and Innovation
Nächstes Kapitel Siberian Arts and Crafts as Basis for Development of Cultural Traditions and Innovations of Bachelors
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Metadaten
Titel
Learning Outcomes Evaluation Based on Mixed Diagnostic Tests and Cognitive Graphic Tools
verfasst von
Anna E. Yankovskaya
Yury N. Dementev
Danil Y. Lyapunov
Artem V. Yamshanov
Copyright-Jahr
2018
Buch
Linguistic and Cultural Studies: Traditions and Innovations

Print ISBN: 978-3-319-67842-9

Electronic ISBN: 978-3-319-67843-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-67843-6_11