Learning Outcomes Evaluation Based on Mixed Diagnostic Tests and Cognitive Graphic Tools
| Parent link: | Advances in Intelligent Systems and Computing Vol. 677 : Linguistic and Cultural Studies: Traditions and Innovations, (LKTI 2017).— 2017.— [P. 81-90] |
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| Співавтор: | |
| Інші автори: | , , , |
| Резюме: | Title screen 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. Режим доступа: по договору с организацией-держателем ресурса |
| Мова: | Англійська |
| Опубліковано: |
2017
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| Серія: | Engineering Education |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-319-67843-6_11 |
| Формат: | Електронний ресурс Частина з книги |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=656140 |
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| 200 | 1 | |a Learning Outcomes Evaluation Based on Mixed Diagnostic Tests and Cognitive Graphic Tools |f A. E. Yankovskaya [et al.] | |
| 203 | |a Text |c electronic | ||
| 225 | 1 | |a Engineering Education | |
| 300 | |a Title screen | ||
| 320 | |a [References: 19 tit.] | ||
| 330 | |a 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. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Advances in Intelligent Systems and Computing | ||
| 463 | 0 | |0 (RuTPU)RU\TPU\network\22542 |t Vol. 677 : Linguistic and Cultural Studies: Traditions and Innovations, (LKTI 2017) |o XVIIth International Conference, October 11-13, 2017, Tomsk, Russia |o [proceedings] |f National Research Tomsk Polytechnic University (TPU) ; eds. A. Yu. Filchenko ; Zh. S. Anikina |v [P. 81-90] |d 2017 | |
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| 610 | 1 | |a распознавание | |
| 610 | 1 | |a диагностика | |
| 610 | 1 | |a логика | |
| 610 | 1 | |a learning and testing intelligent system | |
| 610 | 1 | |a pattern recognition | |
| 610 | 1 | |a mixed diagnostic tests | |
| 610 | 1 | |a threshold logic | |
| 610 | 1 | |a fuzzy logic | |
| 610 | 1 | |a n-simplex | |
| 610 | 1 | |a cognitivegraphic tool | |
| 610 | 1 | |a learning trajectory | |
| 701 | 1 | |a Yankovskaya |b A. E. |c specialist in the field of electrical engineering |c Professor of Tomsk Polytechnic University, doctor of technical Sciences |f 1939- |g Anna Efimovna |3 (RuTPU)RU\TPU\pers\36250 | |
| 701 | 1 | |a Dementiev |b Yu. N. |c specialist in the field of electrical engineering |c Head of the Department of Tomsk Polytechnic University, candidate of technical sciences |f 1953- |g Yuriy Nikolaevich |3 (RuTPU)RU\TPU\pers\34134 | |
| 701 | 1 | |a Lyapunov |b D. Yu. |c specialist in the field of electrical engineering |c Associate Professor of Tomsk Polytechnic University, candidate of technical sciences |f 1982- |g Danil Yurievich |3 (RuTPU)RU\TPU\pers\34175 |9 17709 | |
| 701 | 1 | |a Yamshanov |b A. |g Artem | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Энергетический институт |b Кафедра электропривода и электрооборудования |3 (RuTPU)RU\TPU\col\18674 |9 27127 |
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