About this paper

Appears in:
Pages: 5355-5365
Publication year: 2017
ISBN: 978-84-697-3777-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2017.2209

Conference name: 9th International Conference on Education and New Learning Technologies
Dates: 3-5 July, 2017
Location: Barcelona, Spain


A. Afanasyev, T. Afanasyeva, N. Voit, I. Ionova, M. Ukhanova

Ulyanovsk State Technical University (RUSSIAN FEDERATION)
In order to increase an effectiveness of the practice-oriented and dual training, the joint computer-based corporate training systems for educational institutions’ students and companies’ employees shall be developed. It is a topical task of the great practical importance related to meeting the employers’ requirements to universities’ and colleges’ graduates. In practice of the Russian education this activity is carried out via the basic departments created by universities and colleges at industrial works and companies. Such projects use modern computer-based training systems as a software information base. In the current world practice of these systems’ development an adaptive approach is dominating connected with the automatic generation of an individual training path.

However, the modern training systems do not take into account the specifics of training in project activities, such systems are not integrated with CAD packages and project repositories, and the designers’ project activity is not assessed.

An important component of modern training systems is their virtual environment (in the project’s context) in a form of simulating systems, virtual worlds, including virtual workplaces, workshops and enterprises in total. For all that importance, a solution of the trainees’ actions assessment task in such environments has not been automated yet. In general case, a manual expert analysis of trainees' actions protocols is executed, or an expert visual analysis in a real time.

A goal of this research work is to enhance the competences of trainees (students and employees) through the development and implementation of methods, models and tools for project solutions’ analysis, and through the formation of personalized training on basis of the uniform intelligent project repository.

The following new original scientific and practical results were obtained:
The ontological model of the subject domain distinguished by an introduction of the classes, atoms and functions oriented to the subject domain of CAD mechanical engineering, which allows the system to personify the training process.

The method of forming a personalized training scenario notable for a use of the dynamic mechanisms of environmental training models’ (a designer’s profile, test, design and practical task) interaction with an ontological model of the subject domain of CAD mechanical engineering.

The method of recommendations’ forming and a designer's competence profile adjusting on basis of design operations’ protocol, which is noted for the analysis of 3D-modeling of the parts performed at CAD COMPASS, and which allows the system to formulate the recommendations and to correct the designer’s competence profile.

The software and data support of the intelligent training system was developed and implemented at the Ulyanovsk State Technical University and the enterprises of Ulyanovsk city.
author = {Afanasyev, A. and Afanasyeva, T. and Voit, N. and Ionova, I. and Ukhanova, M.},
series = {9th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN17 Proceedings},
isbn = {978-84-697-3777-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2017.2209},
url = {http://dx.doi.org/10.21125/edulearn.2017.2209},
publisher = {IATED},
location = {Barcelona, Spain},
month = {3-5 July, 2017},
year = {2017},
pages = {5355-5365}}
AU - A. Afanasyev AU - T. Afanasyeva AU - N. Voit AU - I. Ionova AU - M. Ukhanova
SN - 978-84-697-3777-4/2340-1117
DO - 10.21125/edulearn.2017.2209
PY - 2017
Y1 - 3-5 July, 2017
CI - Barcelona, Spain
JO - 9th International Conference on Education and New Learning Technologies
JA - EDULEARN17 Proceedings
SP - 5355
EP - 5365
ER -
A. Afanasyev, T. Afanasyeva, N. Voit, I. Ionova, M. Ukhanova (2017) UNIVERSITY - ENTERPRISE INTELLIGENT CORPORATE TRAINING SYSTEM, EDULEARN17 Proceedings, pp. 5355-5365.