An application of accumulative frame models in programming training
Mathematics and Education in Mathematics, Tome 50 (2021), pp. 284-289
Cet article a éte moissonné depuis la source Bulgarian Digital Mathematics Library
The paper presents the results of a study related to the application of frame structures for representation of knowledge and processes in e-learning. The classical notion of the frame models is developed further and the so-called accumulative frame model is proposed. The informational and computer models created on its basis and software tools for data extraction and aggregation are considered. The results of the approbation and the experimentation for e-learning tasks automation having been conducted.
Статията представя резултатите от изследване за приложение на фрейми1 за представяне на знания и процеси в е-обучението. Класическата нотация на фреймови модели е доразвита в т.нар акумулативен фреймов модел. Представени са създадени на негова база информационни и компютърни модели и софтуерни средства за извличан и агрегиране на данни. Обсъдени са и резултатите от проведеното апробиране и експериментиране за автоматизация на задачи за електронно обучение.
@incollection{MEM_2021_50_a33,
author = {Pashev, George and Doneva, Rositsa and Gaftandzhieva, Silvia},
title = {An application of accumulative frame models in programming training},
booktitle = {},
series = {Mathematics and Education in Mathematics},
pages = {284--289},
year = {2021},
volume = {50},
language = {bg},
url = {http://geodesic.mathdoc.fr/item/MEM_2021_50_a33/}
}
TY - JOUR AU - Pashev, George AU - Doneva, Rositsa AU - Gaftandzhieva, Silvia TI - An application of accumulative frame models in programming training JO - Mathematics and Education in Mathematics PY - 2021 SP - 284 EP - 289 VL - 50 UR - http://geodesic.mathdoc.fr/item/MEM_2021_50_a33/ LA - bg ID - MEM_2021_50_a33 ER -
Pashev, George; Doneva, Rositsa; Gaftandzhieva, Silvia. An application of accumulative frame models in programming training. Mathematics and Education in Mathematics, Tome 50 (2021), pp. 284-289. http://geodesic.mathdoc.fr/item/MEM_2021_50_a33/