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

Android Emerging Markets (Big Android BBQ 2015)
觀看次數：394
the
android
emerging
markets
team
in
name
is
alex
petrescu
and
i'm
a
software
android
our
your
android
users
in
devices
usually
cheap
android
devices
so
we're
going
to
talk
about
devices
how
many
different
android
devices
are
there
are
about
10000
devices
and
10000
devices
they're
all
very
device
with
those
characteristics
would
in
2014
but
it
has
those
characteristics
speed
and
one
gigabyte
of
ram
and
let's
similar
characteristics
as
far
as
these
three
characteristics
go
and
in
a
many
different
characteristics
we
could
these
three
characteristics
are
the
ones
2010
devices
these
are
mostly
gingerbread
devices
you
only
have
one
characteristics
like
a
small
cache
size
2011
devices
and
these
are
better
call
2010
and
2011
typical
android
2010
that
shrunk
so
there's
a
lot
leds
gingerbread
devices
there's
a
lot
less
continues
to
grow
most
of
the
devices
sold
in
emerging
markets
where
they're
few
or
fewer
gingerbread
users
and
any
connections
at
all
so
that's
simple
understand
classifications
that
you
know
packets
and
receives
them
we
keep
track
sort
of
notoriously
you
know
unreliable
averaging
and
we'll
end
it
with
a
geometric
averaging
so
essentially
we
traveled
and
try
to
use
hotel
wi-fi
or
features
like
I
don't
know
autoplay
videos
or
hd
videos
or
things
like
that
you
can't
just
use
that
you're
on
wi-fi
or
not
on
wi-fi
because
that
doesn't
doesn't
if
you're
on
lte
connection
or
a
android
gives
you
android
tells
you
you're
on
wi-fi
you
are
mobile
you're
on
edge
you're
on
lte
but
doesn't
really
modem
speeds
so
it's
a
quite
a
challenge
conditional
in
your
in
your
app
and
say
good
connections
really
good
connections
connections
to
not
so
great
connections
to
point
out
is
now
the
intermittency
the
app
is
in
the
foreground
so
we
know
go
to
the
merge
marketplace
and
you're
hyderabad
office
so
as
an
emerging
analyzed
what
apps
works
and
what
don't
you
know
intermittency
and
bed
latencies
biggest
sub
providers
over
there
what's
emerging
problem
emerging
markets
to
pre-process
your
media
before
don't
know
a
thousand
pixels
don't
upload
a
5-megapixel
or
10
megapixel
server
pre-process
it
first
on
the
any
time
you're
posting
you
sirrah
those
extra
500
milliseconds
a
second
to
interactions
or
three
minutes
of
interactions
or
prefetch
for
later
on
mobile
networks
are
bursty
so
once
you
you're
prefetching
you're
doing
all
this
prioritize
council
requests
if
the
user
predicted
that
they're
going
to
scroll
you've
currently
are
doing
for
the
list
optimization
but
something
that's
the
optimizations
I
think
whatsapp
or
and
you
know
prefetching
doesn't
come
your
interactive
interactions
with
the
prefetch
when
the
user
is
not
doing
prefetching
is
inherently
probabilistic
prefetching
looks
like
so
smart
creatively
it's
in
our
app
for
example
downloaded
we're
starting
to
ascend
networks
prefetching
is
useless
don't
do
prefetching
you're
not
going
to
get
a
science
is
like
cache
invalidation
so
as
opposed
to
just
redownloading
like
a
more
probabilistic
approach
so
example
of
cal
probabilistic
prefetching
sometimes
when
you're
offline
or
in
a
you're
targeting
low-end
phones
one
of
your
app
or
downloading
a
new
app
is
devices
they're
the
ones
most
likely
to
build
progressively
enhance
site
devices
so
other
essentially
binary
use
flatbuffers
that
allow
you
the
paidhi
serialization
costs
and
so
the
server
don't
some
metadata
if
you're
concatenated
a
bunch
of
strings
don't
do
networks
and
low
in
networks
you
don't
have
the
available
upstream
bandwidth
to
is
there
is
a
misconception
that
you
functionality
we
have
in
the
main
app
partnered
with
the
uc
mini
and
uc
browser
which
is
a
very
popular
browser
functionality
and
so
they
visit
the
app
a
native
app
installed
on
the
on
the
and
and
optimizing
for
your
app
not
have
those
assumptions
when
you're
and
things
like
that
that's
no
brainer
what's
going
on
and
then
optimize
for
2010
devices
so
you
can
grab
a
your
apps
work
our
apps
work
on
bad
networks
it's
a
tool
we've
open
sourced
it's
a
traffic
control
and
then
there's
presets
it's
it's
all
open
sourcing
you
guys
can
latency
bandwidth
and
also
things
like
intermittency
so
like
you
know
some
they'll
be
bursting
things
like
that
tool
and
a
great
emulator
so
they've
the
android
emulator
and
it
it
provides
so
I
mean
to
a
lot
of
this
technologists
throttling
technologists
or
you
know
some
variations
or
that
and
wi-fi
the
tricky
thing
about
wi-fi
throttling
throttling
in
atc
we
don't
actually
get
them
is
vpn
prattling
I
mean
just
you
get
those
intermittence
again
not
clicks
and
then
it
breaks
and
you're
constants
are
bad
that's
what
we
found
you're
your
class
that's
there's
some
devices
that
have
big
screens
in
very
if
these
devices
don't
have
a
lot
of
watch
a
stuttering
animation
we
just
concurrent
connections
when
you're
on
time
it
doesn't
matter
if
you're
on
2g
pixels
if
that's
going
to
take
you
30
and
then
when
to
prefetch
don't
prefetch
on
fast
networks
prefetch
more
on
low
networks
etc
so
experimentation
is
good
know
there'll
be
early
adopters
first
and
then
they'll
be
like
grandma's
later
experimentation
that
that
system
allows
constants
rises
from
the
client
advanced
experimentation
framework
it's
configurations
and
it's
very
quickly
configurations
which
are
likely
to
configurations
which
are
producing
us
to
optimize
for
competing
variables
configurations
you're
not
just
thinking
the
prefetching
while
scrolling
so
as
we
scroll
through
the
newsfeed
we
prefetch
best
configurations
for
different
27
different
configurations
a
on
different
connections
and
1st
they
configurations
but
the
real
interesting
the
engagement
continues
to
be
kai
all
the
other
configurations
here
there
we
could
actually
optimize
when
you're
drastically
reduce
server
cpu
which

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