系統設計者的話：學英文根本不用背，你講中文，你有在背中文嗎？學英文也是一樣的道理，那是自然而然就會的東西，用背的方式最後肯定都是不行的。 更多...

最好的學習就是有英文的父母，不斷的跟你說話、耐心的教導你，時間長了，你也就慢慢就融入其中了。

但是我們沒有英文父母怎麼辦？看影片學英文就學的起來嗎？學不起來。

我們從小到大，也看過了不少英文電影，至少也看過1、200部也跑不掉，但是為什麼看了這麼多的英文電影，英文還是很爛呢？

主要的原因是我們沒有從基礎性的強化學習。舉個例子，西方的幼兒出生時，他至少聽了各種大人講英文至少聽了2年，才慢慢開始說英文、與大人互動。

而且都是一字一句慢慢的說、慢慢的教、漸進式的、慢慢的、越來越習慣、越來越聽的懂、越來越會說的過程。

那麼我們看的影片、電影過程中，都是大人成熟型的講話速度、方式、語調，我們怎麼可能跟的上？

一旦跟不上，思想中就會產生覺的好難哦、我不行種種念頭，那麼產生了這種潛在式的排斥心理作用，那麼你就更難學的會了。


所以我們必須打好基礎、深厚的基礎，萬丈高樓平地起，唯有打下深厚的基礎，後面你走的路才會越來越順。

程式界裏有句話，程式債欠的越多，最後就只能放棄。學英文也是一樣，英文單字債欠的越多，你就直接上來文法、句型、語調，最後也只能放棄。

基於上述的思維，我打造了這套系統，從最基礎的單字學習起，不斷的強化、加深你對這個單字的聽力，透過各式各樣的影片、各式各樣的人、各種不同的場景。

就只是為了訓練一個單字的聽力，無數的人跟你講同一個單字，講個20遍、50篇、100遍(且不重覆)，我就不信學不起來。


這套系統做出來後，我自己在使用的過程中，確實真的能聽出來他們講的這個單字，而且他們講的速度再快也能聽的出來。

能聽的出來，就知道他講的大概意思；能夠知道他講的大概意思，就能夠用幾個簡單的單字回應；能夠回應，也就能夠對話；當能夠對話，就能夠再修正文法、句型、語調。


我的目地就是希望自己至少能聽的懂人家在說什麼，用英文跟人家對話，大家共同努力、學習。若有其它想法或對這套系統設計的建議，也可以與我聯絡：ichich2013@gmail.com

Ways to Optimize Your Games Post-Launch (GDC 2018)
觀看次數：747
initiative
and
i'm
moonlit
i'm
a
going
to
talk
about
identifying
that's
empowered
to
make
data-driven
third-party
analytic
solutions
that
are
the
pm's
and
the
pm's
they're
integrated
with
counterproductive
to
having
an
agile
collaborative
and
responsive
team
too
counterparts
mmm
swinging
for
singles
doubles
in
the
occasional
homerun
results
post-launch
make
sure
you're
iterating
and
optimizing
and
constantly
away
from
lagging
indicators
like
indicators
let's
take
a
look
at
our
top
attended
our
playtime
event
or
read
our
own
data
it's
suggested
there's
or
declining
there's
no
right
answer
to
squeezing
your
players
and
are
you
and
they're
more
likely
to
churn
out
gameplay
aspects
might
be
helping
or
percentages
from
new
installs
or
buyers
into
repeated
buyers
so
if
you're
I
see
a
user
to
purchase
once
but
not
and
how
players
are
perceiving
value
in
ability
to
shift
monthly
buyers
to
you're
able
to
do
this
it'll
help
metrics
like
da-yoon
revenue
while
these
monetization
opportunities
when
players
players
can
accumulate
a
near
unlimited
clear
interactions
are
very
based
repairmen
both
increase
a
player's
structure
and
by
leveraging
their
innate
perspectives
to
have
that
diverse
thoughts
findings
and
insights
they're
and
actionable
so
open
w
weekly
101
into
a
team
as
well
as
company-wide
monetizing
with
google's
ad
platform
be
here
at
gdc
with
oliver
i'm
really
democratized
the
entire
gaming
industry
2017
and
that's
compared
to
100
million
100
million
in
1995
that's
a
huge
growth
know
this
acquiring
players
for
games
is
traditional
gamer
and
how
you
categorize
campaigns
or
uac
as
a
great
way
for
developers
to
automatically
find
and
nuances
of
our
networks
work
by
adding
lifecycle
and
so
let's
go
ahead
and
go
so
illion
dynamics
is
the
maker
of
the
purchase
purchases
for
new
players
multiplayer
games
kabam
has
accumulated
millions
of
role-playing
game
marvel's
contest
of
installs
six
times
quarter-over-quarter
which
is
actually
increased
50%
year-over-year
adspend
converting
players
to
find
more
of
them
milestone
we've
now
driven
over
10
game
and
so
we're
continuing
to
double
installs
recommendations
that
come
from
the
Play
make
an
in-app
purchase
and
so
we're
introducing
similar
audiences
for
uac
to
name
is
vishal
kumar
and
i'm
a
product
monetization
team
my
team's
goal
is
to
publishers
are
using
ads
and
in-app
purchases
to
maximize
the
monetization
purchases
we
get
that
that's
actually
segment
your
players
based
on
predicted
behaviors
into
likely
spenders
and
the
tool
and
the
differentiated
users
value
to
advertisers
by
delivering
non-intrusive
increase
playtime
while
ensuring
that
engaging
and
rewarding
avidly
one
of
our
publishers
who
publishes
bingo
party
monetize
your
non
spenders
you
do
not
is
making
sure
that
you're
optimizing
format
in
theory
mediation
ensures
that
networks
that
have
historically
offered
building
communities
and
publishers
and
creators
to
help
them
quantified
that
more
than
325
billion
there's
some
really
baseline
things
that
to
use
thumbnails
to
optimize
clicks
all
a
lot
of
at
times
is
the
follow-through
is
it
a
reverent
is
a
comedic
is
it
more
of
consistency
there's
no
there's
no
content
around
agario
they
collaborated
measure
the
effectiveness
of
their
cards
that
allows
you
to
cross-promote
supercell
is
a
developer
who
we've
seen
so
examples
would
be
dragonball
heavily
action-oriented
and
also
we're
ours
that
is
currently
in
japan
or
Tokyo
she's
currently
in
Tokyo
right
now
the
to
three
playable
characters
the
opponents
three
characters
before
the
connection
latency
and
whatnot
all
they
but
it's
heavily
action-oriented
but
in
we
made
sure
that
it's
intuitive
and
we
can
see
the
icon
just
activated
for
a
automatically
create
combos
so
oh
just
with
no
worries
about
latency
any
more
database
more
sharding
and
whatnot
cloud
spanner
to
create
a
more
a
simpler
content
that's
constantly
evolving
so
separating
by
regions
or
areas
like
you
if
you're
connecting
to
a
character
for
proper
large-scale
service
we'll
be
holding
a
livestream
where
playable
characters
you
might
have
seen
goku
or
piccolo
frieza
and
nappa
we
have
access
this
livestream
tomorrow
we'll
data-driven
creating
convolutional
neural
network
pots
for
automatic
playtesting
first
of
understand
the
gameplay
if
you
haven't
game
is
non-deterministic
that
is
run
new
15
levels
for
example
level
3
&
4
started
coloring
data
that's
always
the
convolutional
neural
network
which
is
that's
the
ui
for
the
11th
designers
in
communities
kubernetes
where
we
have
hi
everyone
i'm
casey
fahey
and
I
focus
announcements
we've
made
and
lots
of
tips
and
actionable
takeaways
you
can
go
/
gdc
2018

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