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Адаптация метода Ð¸Ð½Ñ‚ÐµÑ€Ð²Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¿Ð¾Ð²Ñ‚Ð¾Ñ€ÐµÐ½Ð¸Ð¹ для решения задачи ускоренного изучения языка JavaScript

выпускная квалификационная работа магистра

Адаптация метода Ð¸Ð½Ñ‚ÐµÑ€Ð²Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¿Ð¾Ð²Ñ‚Ð¾Ñ€ÐµÐ½Ð¸Ð¹ для решения задачи ускоренного изучения языка JavaScript

Abstract

В данной работе произведена адаптация метода интервальных повторений для решения задачи ускоренного изучения синтаксиса языка JavaScript. Изложена сущность метода интервальных повторений с обоснованием его эффективности в качестве инструмента для запоминания информации. Описаны существующие алгоритмы реализации метода. Проведен обзор исследований применения интервального эффекта. Произведен сравнительный анализ веб-продуктов, являющихся ближайшими аналогами разработанного в данной работе веб-сервиса. Осуществлена программная реализация прототипа веб-приложения, предназначенного для ускоренного изучения языка программирования JavaScript с пояснениями на русском языке и параллельным освоением терминов на английском, используя адаптированный метод интервальных повторений.

In this work the spaced repetitions method is adapted for solving the problem of fast and effective studying of JavaScript programming language. The major principles of spaced repetitions method and scientific proofs of method’s effectiveness are listed. Previously developed algorithms implementing spacing effect are described. The review of up-to-date research in the field of educational usage of method is given. Comparative analysis of competitive web-products for fast learning is carried out. Prototype of web application for fast studying of JavaScript with explanations in Russian is developed using adapted spaced repetitions method.

Keywords

Программирования языки, система лейтнера, Javascript, флэш-карточки, метод Ð¸Ð½Ñ‚ÐµÑ€Ð²Ð°Ð»ÑŒÐ½Ñ‹Ñ Ð¿Ð¾Ð²Ñ‚Ð¾Ñ€ÐµÐ½Ð¸Ð¹, алгоритм supermemo

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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