Ekaterina Krasnova + Alexey Dobrotvorskiy. Kipu project - Vitim

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10 Δεκ 2013 (πριν από 3 χρόνια και 10 μήνες)

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BUSINESS APPROACHES
AND TEACHING
TECHNIQUES IN
COMPUTER ASSISTED
EXPRESS LANGUAGE
TRAINING

APPROACH OVERVIEW

2

THE MAIN IDEA

Stereotypes:


Language learning is
hard


Language learning is
long


Our
goals:


Easy
, play way development of the basic communication skills on
foreign
language


Fast
, about 2


4 weeks to be able to speak and understand foreign
language in typical situations




Express training of the
communication skills



Individual dynamically forming
learning trajectory



Focus on speaking skills due to
speech recognition technology



OUR APPROACH

Interactive game
-
like tests:



Word’s sliding puzzle


for grammar test




Speaking test with

speech response




LEARNING RESULTS EVALUATION

Play
way learning process assembled
to the one plot
line


Extended motivation due to plot
development interest



Cartoon design in primitivism
style


Subconscious association


it looks
simple, so it seems to be easy to learn


MAIN FEATURES

WHY IS IT EFFECTIVE?



We teach to speak and understand in typical situations



All materials and dialogs are sounded by native speakers



Each lesson is an example of the typical situation (hotel, shopping,
transport, etc.)



TEACHING TECHNIQUES

(
methodology,

expert system
)

8

9

NAME


Why

Kipu
?



[’
kipu
]

(q
uechua


khipu


-
>

spanish


quipu
”)





ancient

Incan

knot
-
writing


10

STYLE


Cartoonish style:

a learner goes back to childhood when learning languages
is the most easy
-
going

11

Original methodology

Methodological basis:



simplicity through language
analogies and universals


entertaining plot


12

Frame plot

Increasing the number of:


grammar topics


conversational topics


trained skills


Absence of
the
knowledge

Getting the
knowledge

Presence
of the
knowledge

13

LANGUAGE UNIVERSALS

Grammatical



3

tenses


word

classes


modes





Lexical

(conversational)



Conversational

topics


everyday

words


expressions

in

usual

situations




14

SERVICE AND COURSE STRUCTURE


30 lessons in each course


grammar and conversational topics in each lesson


The topics of 30 lessons are connected by the plot



Dictionary (~11 000 words for each language)



Media (videos in a foreign language with speech bubbles and
translation)




15

LESSON STRUCTURE

Introduction

Dialogues (5)

Grammar

Vocabulary

Pronunciation

Cultural note

Test (2)

16

WHAT IS EXPERT SYSTEM

Expert system
is an inner component of an e
-
learning
software.


It
forms learning strategy
in terms of the obtained
result.




It
serves to “replace” a real
individual teacher


the person that
normally edits the learning path of a
certain student.



17

EXPERT SYSTEM

IN “KIPU”: COMPONENTS


information about the result
of a test


grammar and
vocabulary tests


5 steps in each test


the highest score is 10




recommendation

related

to

further

learning

process


pass

the

test

again


read

the

theory

again


proceed

to

the

next

test


proceed

to

the

next

grammar

section
:




18

EXPERT SYSTEM

IN “KIPU”: HOW IT WORKS


Result
: 8/10 points and less




Principle
: associated grammar
topics (the connections are registered
in a program file)




Adjustment
: delicate adjustment
for proper dispatch (rules has been
developed)




19

TEACHING TECHNIQUES: SUMMARY


Original methodology based on simplicity and entertainment
(language universals, frame plot, cartoonish style)



The structure of the service (courses and lessons) is full
and complete for learning



Suitable result information with recommendations



Expert system operation principle has been developed at
the present stage of the project






20

COMMERCIALIZATION

THE COMPETITOR ENVIRONMENT

Main participants:






What
we don’t like in them:


A low variability of supported native languages


It is expected quite deep and continuous learning process. So it’s
long


Orientation on grammar, speaking skills are on the second place

We support:

POTENTIAL AUDIENCE

The number of the supported languages is one of the main
competitive advantages


Russian


English


German


French


Spanish






Italian


Portuguese


Hindi


Japanese


More

to

come


Range of potential audience depends from range of supported
languages

Basic language
(English)


Learning

content


Russian


Учебный
материал

German


Lerninhalte

…………


………….

Matrix structure of learning content

A new row means a new language supported in both roles:


Native


Learning

LANGUAGE ADDING FEATURE

The
main commercialization ways:


Web site subscribe


Mobile application (
iOS
, Android)


API for social networking sites (Facebook,
Vkontakte
, etc.) and other network based
projects


COMMERCIALIZATION POTENTIAL

Shorter
is the lag between moments of

paying and getting results



Higher
is the interest of consumers

THANK YOU

25

26

ABOUT COMPANY

ABOUT COMPANY


Speech Technology Center (STC) is an international
leader in speech technology and multimodal
biometrics. It has over 20 years of research,
development and implementation experience in
Russia and internationally.


STC is leading global provider of innovative systems
in high
-
quality recording, audio and video processing
and analysis, speech synthesis and recognition, and
real
-
time, high
-
accuracy voice and facial biometrics
solutions. STC innovations are used in both public and
commercial sectors, from small expert laboratories, to
large, distributed contact centers, to nation
-
wide
security systems.


STC is ISO
-
9001: 2008 certified.

CONTACTS

Russia


4
Krasutskogo

street
,
St
.
Petersburg
, 196084

Tel
.: +7 812 331 0665

Fax
: +7 812 327 9297

Email:
info@speechpro.com


Finland

6
Laserkatu
, Lappeenranta

Tel
.: +3

58 44 915 12 03

Email
:
partner@vitim
-
it.com


Aleksey
Dobrotvorskiy

Project manager

Tel.: +7 812 325
-
88
-
48 (ext. 6653)

Fax: +7 812
327
-
9297

E
-
mail: dobrotvorskiy@speechpro.com


Ekaterina

Krasnova

Research Scientist

Tel.: +7 812 325
-
88
-
48 (ext. 6763)

Fax: +7 812
327
-
9297

E
-
mail: krasnova@speechpro.com