版權(quán)說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權(quán),請進行舉報或認領(lǐng)
文檔簡介
GoogleNovember2025AI
and
theFutureofLearningBen
GomesChief
TechnologistLearning&SustainabilityChristopherPhillipsVP&
GMEducationLila
IbrahimChiefOperatingOfficerGoogleDeepMindJamesManyikaSVPResearch,Labs,
Technology&SocietyYossiMatiasVP&
GMGoogleResearchChallengesImportantAreastoAddressOpportunitiesAI’s
Promisefor
LearningOurWorkonAIin
LearningLearning
MattersConclusionAbstract040506030201Googlebelievesthatbysupportingteachersandpersonalizinglearning,
AI
can
help
unlock
human
potential
all
around
the
world.While
human
relationships
will
always
remain
central
to
teachingand
learning,we
see
tremendous
opportunity
for
AI
to
supportGoogle’s
mission
to
make
the
world’s
information
universallyaccessible
and
useful.
At
the
same
time,
AI
presents
urgentchallengesandunknownsthatsocietymustcollectivelyreckonwith.Our
goal
is
to
help
improve
learning
outcomes
by
developingAI
products
that
are
grounded
in
core
learning
science
and
inclose
partnership
with
the
education
community—because
thegreatest
potential
of
AI
is
helping
everyone
reach
theirs.Google
AI
and
the
Future
of
Learning
3AbstractAIopensupnewpossibilitiesfor
people
tolearn,accesseducation,andfollow
theircuriosity.
Itcanalsohelpaddress
criticalchallenges,includingconcerning
trendsinlearningoutcomes,immense
pressureoneducators,andalackofaccesstoqualityeducationinmany
communities.LearningMattersLearning
is
the
bedrock
of
human
potential
and
societal
progress.Itequips
us
with
new
skills,sparks
curiosity
and
the
exchange
of
freshideas,spurs
innovative
breakthroughs,and
drives
economic
growth.New
technologies
have
always
been
a
force
to
expand
society’sknowledge,as
well
as
accelerate,challenge,and
ultimately
reshape
how
welearnandwhatweknow.Fromtheinventionoftheprintingpresstothe
vast
expanse
of
the
internet,advances
in
technology
have
helpedto
democratize
access
to
information
and
opportunity,pushing
theboundaries
of
human
potential.Learning,while
lifelong,is
especiallyrapid
in
early
childhood—both
within
and
outside
of
formal
educationsettings.Curiosity
and
the
desire
to
learn
are
human
nature,
and
today,learning
opportunities
are
accessible
to
more
people
than
ever
before.Google
AI
and
the
Future
of
Learning
4<1%1-5%
5-10%10-30%>30%Bucketed
by
resources
available
per
young
person,relative
to
USA????}????Most
of
the
world
has
lessthan10%ofUSAresources(GDP)per
youngperson
with
whichtoeducatetheirpopulation.Historically,formal
education
was
exclusive:limitingthe
path
to
opportunities
to
a
select
few.
As
a
result,many
efforts
have
focused
on
widening
access,witha
long
arc
of
progress
from
royal
tutors(effective,personalized,but
inaccessible),to
the
industrialmodel
of
education(a
powerful
tool
for
expandingaccess
and
literacy,but
not
personalized),to
recent
educationtechnologiesthathaveallowedteachersto
reachlearnersbeyondtheirclassrooms.The
world
has
made
huge
strides
in
access.
90%of
primaryschool-agedchildrengloballyareenrolled
in
school
and
approximately
87%complete
theirprimary
education.However,challenges
remain,including
uneven
access
to
education,differences
in
education
quality,limited
content
availability
across
languages,as
well
as
low
and
unequal
learningoutcomes.Abriefhistoryofeducation:Wherewestarted,
where
weareGoogle
AI
and
the
Future
of
Learning
5Global
population
of
young
peopleaged0-19Resources
defined
as2023GDP
at
PPP,
from
World
Bank;
young
person
defined
as
aged0-19,
from
UN.Grey
circles
have
no
GDP
data
available.Per
young
person
resources
relative
to
USALearning
mattersMaking
good
on
the
promise
of
education
meansensuringalllearnersreachproficiencywhilesupporting
their
potential
and
well-being
at
everylevel.Publiceducationsystems
facesignificantstrain
as
a
result
of
inadequate
funding,thecontinuingimpactof
pandemic-eralearningloss,
disruption
fromglobalconflicts,teacherturnoverand
shortages,student
attendance
and
mentalhealthchallenges,andpersistentsocio-economic
disparities.Theseinterconnected
factorsarecompoundedbythe
need
to
constantly
update
curricula
to
preparestudents
for
the
demands
of
a
changing
world.AccordingtotheOECD’sProgramme
forInternational
Student
Assessment(PISA),globallearning
outcomes
have
declined
over
the
last
twodecades.Results
from
the
2022PISA
survey,whichcaptured
data
from81countries
and
economies,notedan“unprecedentedperformancedrop”
withmean
performance
in
mathematics
down
by15points
and
reading
down
by10points
compared
to2018.Challenges
are
being
seen
in
developed
anddevelopingcountriesalike.
Anddespitepositivetrendsinenrollment,
272millionchildrenremainoutofschool(11%ofchildreninprimary,15%inlowersecondary,31%inuppersecondary).
Astheschool
age
population
of
low-and
middle-incomecommunities
continues
to
grow,experts
estimate
the
world
will
need
44million
more
teachers
by2030
toprovideuniversalprimaryandsecondaryeducation,
includinginplacesthatalready
facemeaningfulbarriers
to
fully
supporting
their
existing
students.It
is
not
easy
to
keep
up
with
the
acceleratingdemands
of
a
rapidly
changing
world.
Today’s
jobsdemand
not
just
foundational
skills,but
advancedproblem
solving,collaboration,and
the
ability
tolearn
throughout
life.
The
emergence
of
AI
marksanother
period
of
profound
transformation—theopportunity
to
rethink
how
education
should
adapt
to
both
the
opportunities
and
the
challenges
ahead.
Aseducationalsystemsgrapple
withthequestionofwhat
it
means
to
be
well
educated
in
a
world
where
AIis
ubiquitous,students
will
need
a
new
set
of
skills
toprepare
forthe
future.Trends
in
mathematics,
reading
and
scienceperformancePISA
test
scores,OECD
average MathReading
ScienceLearning,teachingandeducationare
universal
in
humansocietiesLearning:The
acquisition
and
retention
of
information,representingashiftinwhatanindividualknowsorcan
do.Teaching:The
process
of
helping
someone
else
learn.Thishappens
in
both
formal
education
and
outside
of
that
process.Education:The
bundling
of
teaching
and
learning
in
a
structuredsetting
alongside
a
relatively
consistent
curriculum.
This
oftenends
with
a
formal
recognition
of
completion.For
simplicity,we
use
the
term
teacher
to
indicate
an
educator
in
this
type
offormal
setting.Though
focusedonprimaryandsecondaryeducation,this
paper'sdiscussionofopportunities,limitations,and
futureexploration
is
relevant
to
all
ages.Google
AI
and
the
Future
of
Learning
6Note:
AIisabroadtermencompassinga
widerangeof
technologies,
includingpredictivemodels,generative
AIrootedinlargelanguage
models,andgeneralintelligence.
Throughoutthispaper,
weusethe
term
AItotalkabout
the
category
as
a
whole.Source:
OECD(2023),PISA2022Results(VolumeI):
TheStateof
Learning
and
Equity
in
Education.Learning
mattersOpportunities:AI’sPromise
forLearningAdvances
in
AI,such
as
large
language
models,present
newopportunitiestoequiplearners
withtheskillstheyneed
forsuccess.While
the
internet
removed
barriers
to
accessing
information,
AIincreases
our
ability
to
understand
and
apply
that
information.
This
leapfrom
passive
consumption
to
active,deep
understanding
is
a
profoundchange
that
is
revolutionary
for
education.
AI
can
expand
teaching
andlearning
by
modifying
content
to
be
more
engaging
and
interactive,simplifying
complex
topics,and
enabling
deeply
personalized
learning
atscale.Google
AI
and
the
Future
of
Learning
7Education
systems
have
always
faceda
core
challenge:limited
resources.Ideally,everystudentwouldspendampletimeworking
in
their
zone
of
proximal
development–thesweet
spot
of“just
right”learning
challenges
thatlead
to
new
skill
growth.But
because
student
needs
vary
so
widely,traditional
education
cannot
alwaysprovidethispersonalizedsupporttoeveryone.While
AI
is
by
no
means
perfect,it
does
have
thepotential
to
reduce
barriers
and
allow
people
to
learn
more
effectively
than
before.For
students,
AI
canhelp
create
individualized
learning
paths
and
offerextra
help,whether
or
not
they
have
the
supportof
an
educator.For
educators,
AI
can
serve
as
ateachingassistantthatsupportstheirworkload
andenables
new
approaches,ultimately
freeing
up
moretime
for
the
essential
human
aspects
of
teaching.It
iscriticalthat
AI-poweredlearningtoolsaredevelopedand
supervised
by
experts
and
educators
to
ensure
they
reflect
learners’needs
and
provide
effective,evenlydistributedpedagogicalbenefits.Technologists
have
made
similar
promises
aboutaccessandpersonalizationduringprior
wavesof
education
technology—and
while
some
weremet,many
were
not.
These
cycles
did,however,offer
valuable
lessons
about
what
works(andwhat
doesn’t)in
education
technology,includingthattechnologyalonecannotsolvedeep-rootedchallenges,that
it
must
be
designed
with
and
for
thestudents
and
teachers
it
intends
to
reach,and
thatusers
must
be
equipped
with
the
knowledge
around
howtoimplementnewtoolsinmeaningfulways.AI
is
far
more
powerful
than
past
innovations,offering
truly
transformative
possibilities.However,turningAI’s
promise
into
reliable,everyday
practice
willrequire
both
time
and
intentional
effort."WhileAIisbynomeansperfect,
itdoes
have
the
potentialtoreducebarriersandallowpeopleto
learnmoreeffectivelythanbefore."Google
AI
and
the
Future
of
Learning
8Opportunities:AI’s
Promisefor
LearningWhendesignedandimplementedcorrectly,AI
systems
can
embody
the
proven
principlesof
learning
science:including
sparking
activeparticipation,encouraging
deep
practice
and
review,
and
weaving
in
the
benefits
of
spaced
repetition.
Thiscanenhancelearningeffectivenessandefficiency,leading
to
more
breakthrough
moments
for
morestudents.
AI
systems
that
are
explicitly
fine
tuned
forthese
purposes
can
create
new,scalable
learningactivitiesandassessmentsthatwerepreviouslyimpossible.For
educators,these
tools
can
lightenthe
burden
of
implementation,making
powerfulteachingstrategiesmoreaccessibleandachievablein
less
time.For
students
who
choose
to
engage,AI
moves
them
from
passive
consumption
to
activeapplication—becoming
a
catalyst
for
curiosity,moremeaningful
learning,and
assessments
that
feel
lesslike
memorization
tests
and
more
like
opportunities
todemonstrateknowledge.The
potential
goes
even
further:
AI
can
help
usdeepen
our
understanding
of
learning
itself.By
analyzing
patterns
of
student
engagement,motivation,and“aha”moments,we
can
uncover
new
insights
into
how
curiosity
grows,how
persistencetakes
root,and
how
learning
flourishes
acrossdifferentcontexts.Perhaps
learningalongside
AImayreveal
entirely
new
facets
of
skill
development
andhuman
growth
potential—reminding
us
that
learning
is
not
just
about
knowledge
transfer,but
aboutexpanding
the
boundaries
of
what
is
possible.interactive_spacebook_ribbondoor_opencheerPersonalizingMake(almost)RemovingAhelpingteachingandtutoringanythinglearnablebarriers
tolearninghand
forbusyeducators01UnlockingthepoweroflearningscienceAIpromisestobringthe
verybestof
what
weknowabouthowpeoplelearn(learningscience)intoeverydayteaching,andmayeven
identify
new
frontiers
for
education
research.Google
AI
and
the
Future
of
Learning
9HowAIcantransformlearninglab_researchUnlockingthepoweroflearningscienceOpportunities:AI’s
Promisefor
LearningOutsidetheclassroom,lackof
foundationalknowledge,study
skills,motivation,or
means
canall
present
barriers
for
studying
or
completinghomework;as
can
simply
finding
someone
tohelp
you
when
you’re
stuck.
AI
can
serve
as
aninexpensive,non-judgemental,always-availabletutor.
There
is
rigorous
evidence
that“high-dosage”personal
human
tutoring
has
one
of
the
largestpositive
impacts
on
student
achievement,withconsistentlysignificanteffectsonstudents
fromfamilies
with
low
incomes1,2,3,4
.
While
AI
tutors
cannotreplace
the
human
element
of
great
teaching
ortutoring,they
can
be
a
complement
or
bridge
when
human
support
is
unavailable.
As
AI
tutors
becomemore
widely
used,it
will
be
important
to
understandhow
much
of
the
benefit
from
tutoring
comes
fromthe
opportunity
to
work
within
the
proximal
zone
ofdevelopment
with
a
knowledgeable(potentially
AI)coach
versus
the
power
of
human
connection(suchas
the
natural
desire
to
connect
with
someone
whocares
about
you).Whilestructurededucationhashadsuccessinteaching
large
groups,it
often
struggles
to
meetthe
diverse
needs
of
individual
students.
AI
mayultimately
allow
every
learner
to
take
a
trulyindividualized
learning
journey,realizing
the
promiseof
personalization
like
never
before.AI
can
give
educators
tools
that
can
adapt
lessoncontent
to
a
student’s
specific
needs
and
goals—providing
tailored
feedback
and
identifyingknowledge
gaps
that
hinder
layered
learningprogress.It
can
also
adjust
based
on
a
student’scontext,like
whether
a
teacher
is
present,whatthe
subject
is,and
what
has
been
learned
before.Educators
can
receive
insights
into
student
progress
and
learning
gaps,enabling
more
personalized
andfocusedsupport
whilereducingcognitiveload.
Thiscan
help
target
learners
at
the
right
level
to
close
understanding
gaps
and
help
ensure
that
learningdifferences(including
neurodivergence)do
notdetermineone'spotential
forsuccess.interactive_spacebook_ribbondoor_opencheerPersonalizingMake(almost)RemovingAhelpingteachingandtutoringanythinglearnablebarriers
tolearninghand
forbusyeducatorsThegoalofpersonalizationisn’tnew,but
AIopensupnew
waystobringittolifeatscale.
What
wasonceanaspirationmaynowbe
possible.02PersonalizingteachingandtutoringGoogle
AI
and
the
Future
of
Learning
10lab_researchUnlockingthepoweroflearningscienceOpportunities:AI’s
Promisefor
LearningPeople
are
most
curious
about
things
that
theyfeel
are
learnable,or
that
they
are
on
the
vergeof
understanding.
AI
can
strip
away
jargon
andadjust
explanations
and
delivery
modes
to
alearner’s
background
and
preferences—helpingstudents
spend
more
time
in
their
zone
of
proximaldevelopment.Thecoreschoolcurriculumiswell
covered
withexpertly
produced
content,but
quality
options
fall
offrapidly
when
moving
into
more
specialized
subjects.AI
opens
up
new
opportunities
for
people
to
learnand
retrain
throughout
their
lives,especially
for
nicheinterests
and
changing
job
market
demands.Whetherit’sconnectingacademicconceptstoreal-
world
applications
or
bridging
the
gap
between
newinformation
and
prior
knowledge,
AI
tools
can
helpmake
learning
more
exciting–
fostering
intrinsicmotivation
and
sparking
curiosity
and
exploration.interactive_spacebook_ribbondoor_opencheerPersonalizingMake(almost)RemovingAhelpingteachingandtutoringanythinglearnablebarriers
tolearninghand
forbusyeducatorsWeliveinanageofinformationabundance.Inorder
tobeunderstandable,informationneedstobeavailableand
approachable.03Make(almost)anythinglearnableGoogle
AI
and
the
Future
of
Learning
11Fromlefttoright,toptobottom:ExploretheMuséed’Orsay,Paris
with
GoogleAI,
Woolaroo,
Lens,
Moving
paintings.lab_researchUnlockingthepoweroflearningscienceOpportunities:AI’s
Promisefor
Learninginteractive_spacebook_ribbondoor_opencheerPersonalizingMake(almost)RemovingAhelpingteachingandtutoringanythinglearnablebarriers
tolearninghand
forbusyeducatorsFor
the
majority
of
human
history,access
toknowledge
and
information
was
a
critical
barrier
tolearning.
While
the
printing
press
and
internet
haveimproved
access
in
recent
history,information
isstill
not
universally
available.Some
of
this
remainsan
infrastructure
challenge,but
barriers
exist
evenfor
those
with
internet
access:a
scarcity
of
contentand
learning
opportunities
in
one’s
native
language,
content
format
limitations,and
content
unsuitablefor
different
learning
levels.
AI
has
the
power
to
helpin
all
of
these
respects
by
transforming
content
intonew,more
accessible
forms,and
delivering
contentat
the
right
level
to
close
learning
gaps.Millions
of
learners
still
lack
access
to
formaleducation
or
sufficient
time
with
a
teacher,or
facechallenges
fromphysicalorlearningdisabilities.AI
has
the
potential
to
deliver
quality
learningexperiences
—making
the
world’s
information
more
suitable
to
individuals’needs.AImaynotonlyraisetheceilingforthosewhohave
educational
support
today,it
will
also
significantly
raisethe
floor
forlearnersacrosstheglobe.Everyone
deserves
access
to
quality
learning
experiences
andtheskillsandtoolsneededtobuild
the
future
theyenvision
forthemselves.04RemovingbarrierstolearningGoogleAI
and
the
Future
of
Learning
12lab_researchUnlockingthepoweroflearningscienceOpportunities:AI’s
Promisefor
Learninginteractive_spacebook_ribbondoor_opencheerPersonalizingMake(almost)RemovingAhelpingteachingandtutoringanythinglearnablebarriers
tolearninghand
forbusyeducatorsAI
can
assist
busy
teachers
across
a
range
of
areas,
spanning
fromdeepresearchandcontentcreation,to
activity
planning
and
administrative
tasks.Separately,
AI
can
also
assist
by
enabling
new
formsof
instruction
or
assessment.
This
can
include
AI-ledgroup
breakouts
that
drive
active
student
learning,
adaptivereal-time
feedback
formultiplestudentsat
once,or
open-ended
debates
that
evaluatearguments
and
push
the
frontier
of
a
student’s
understanding.This
assistance
can
both
help
students
fill
gaps
intheir
learning
and
enable
teachers
to
spend
more
time
with
students.Most
importantly,
AI
can
helpteachers
get
back
to
doing
the
job
they
signed
upfor,
focusing
on
the
important
human
aspects
of
teaching:helping
their
students
learn
how
to
learn,
inspiringtheirinterests,
fosteringconnections,and
developing
them
as
curious
and
well-roundedindividuals.AI
can
become
a
powerful
teaching
assistant,
freeing
up
precioustime
for
teachers
to
focus
on
meaningful
human
and
socialinteraction
with
students.05AhelpinghandforbusyeducatorsGoogleAI
and
the
Future
of
Learning
13lab_researchUnlockingthepoweroflearningscienceOpportunities:AI’s
Promisefor
LearningChallenges:Important
Areas
to
AddressLike
all
major
technological
shifts,
AI
introduces
new
challenges.Someare
familiar,such
as
protecting
privacy
and
preventing
exposure
toinappropriate
content,while
others
are
specific
to
AI’s
capabilities.
Whilethesechallenges
varytremendouslyacrossglobalsettings,andmanifestdifferently
across
primary,secondary
and
higher
education
levels,they
must
be
confronted
head-on.Questions
of
this
nature-and
magnitude-
are
best
answered
together,and
help
us
make
progress
as
a
society.Google
AI
and
the
Future
of
Learning
14While
hallucination
rates
have
fallen
sharply
in
thepast
two
years
as
models
are
trained
to
use
trustedsources
and
verify
the
outputs,a
harder
challengeremains:determining
which
sources
are
trustworthyand
how
to
handle
subjective
questions.
This
isparticularly
challenging
given
the
biases
in
globaldata.AI
also
needs
the
right
tone
and
must
avoidconfirmingincorrectassertionsandprovidingexcessive
praise.It
should
challenge
a
student’smisconceptionsandcorrectinaccuratestatements,not
simply
act
as
an
uncritical
mirror
that
reinforcesthem.
This
is
important
both
in
ensuring
accuracy,but
also
in
maintaining
educational
motivation
and
self-regulation.This
is
an
area
of
deep
importance
to
Google,
andwhile
no
system
is
perfect,we
have
made
meaningfulprogress
with
each
new
model
release,and
continue
driving
the
industry
forward
with
new
benchmarks.
Bycarefullyandresponsiblybuildinganddeploying
AImodels,weaimtomanagetheserisksaswehave
for
our
other
businesses,like
Search,since
ourearliest
days.targetshieldnetwork_intelligencepsychology_altcrowdsourceAccuracyandobjectivitySafetyCriticalthinkingCheatingandlearninglossEqualaccess01AccuracyandobjectivityA
primary
concern
is
that
AI
models
can"hallucinate"and
producefalseormisleadinginformation,similarto
humanconfabulation.Google
AI
and
the
Future
of
Learning
15Challenges:
ImportantAreastoAddressA
layered
safety
strategy,including
age-appropriate
AI
literacy
and
content
filters
is
essential,but
willneed
to
evolve
as
fast
as
the
technology
does.Google’s
commitment
to
safety
is
underpinned
byextensive
testing
and
continuous
expert
consultation.
We
conduct
rigorous
user
and
adversarial
testing,including“Red
Teaming”exercises
and
child
safety-
focusedsprints,specificallydesignedtoidentifyvulnerabilitiesandbuildstrongsafeguards
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權(quán)益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
- 4. 未經(jīng)權(quán)益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
- 6. 下載文件中如有侵權(quán)或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 芳香烴生產(chǎn)工操作規(guī)程考核試卷含答案
- 光敏電阻器制造工安全文明評優(yōu)考核試卷含答案
- 社群健康助理員安全演練考核試卷含答案
- 碳九石油樹脂裝置操作工風險評估與管理模擬考核試卷含答案
- 2024年孝感市特崗教師招聘筆試真題匯編附答案
- 裂解汽油加氫裝置操作工班組建設(shè)水平考核試卷含答案
- 2024年承德醫(yī)學院輔導員考試參考題庫附答案
- 電視調(diào)頻天線工崗前安全生產(chǎn)意識考核試卷含答案
- 低速載貨汽車司機6S執(zhí)行考核試卷含答案
- 2024年滄州航空職業(yè)學院輔導員招聘備考題庫附答案
- 漢源縣審計局關(guān)于公開招聘編外專業(yè)技術(shù)人員的備考題庫附答案
- GB/T 46758-2025紙漿硫酸鹽法蒸煮液總堿、活性堿和有效堿的測定(電位滴定法)
- 2026屆福建省龍巖市龍巖一中生物高一第一學期期末綜合測試試題含解析
- 2026年上海市普陀區(qū)社區(qū)工作者公開招聘筆試參考題庫及答案解析
- 二元思辨:向外探索(外)與向內(nèi)審視(內(nèi))-2026年高考語文二元思辨作文寫作全面指導
- 智能清掃機器人設(shè)計與研發(fā)方案
- 《中華人民共和國危險化學品安全法》全套解讀
- 糖尿病足護理指導
- 甲狀腺腫瘤的課件
- 新型鋁合金雨棚施工方案
- 戰(zhàn)略屋策略體系roadmapPP T模板(101 頁)
評論
0/150
提交評論