The document discusses the evolution and impact of computers on language teaching, emphasizing the need for strategies that remain effective despite changing technology. It highlights areas where computers struggle, such as machine translation and providing tailored feedback, while also showcasing their strengths in drills, adaptive testing, and multimedia production. The advent of the internet has shifted the focus of computer-assisted language learning from mere automation to enhancing communication and collaboration in education.

1. Computers inComputers in
LanguageLanguage
TeachingTeaching
By: Maggie
Sokolik
Reporter: Joy Marie D. Blasco

2. Software and Hardware
run out of style but it is the
aim of education to teach
strategies that never runs
out of style.

3. Preliminary to Clear vision of
the future: Historical Overview
Writers such as
Bush foresaw a
future to which
communication
and science
would be
enhanced with
hyperlinked
systems of
information.
Memex
A device in which an individual
stores all his books , records and
communications, and which is
mechanized so that it may be
consulted with exceeding speed
and flexibility.

4. 1940s
Microfilm
phonographic recordings punch card-style
computing machines

5. 1970s and 1980s1950s and 1960s
most powerful computers
occupied entire rooms Microchip and miniaturization

6. What will happen is that in the university of the year
2000, students will be given a computer on their first day.
Over the years that they spend at the university, a fixed
cost will be assessed each term. This cost will pay for
the computer, tuition , access to myriad of database
services and online textbooks. (Young et al, 1988,
p.259).

7. WHAT COMPUTERS
CAN’T DO
Five major areas into which computers and technology have not yet made
significant inroads

8. 1. MACHINE TRANSLATION
The hope of pushing a
button to translate from one
language to another has, for the
most part gone unrealized.
Most fail at creating a text
that a native speaker would
consider idiomatic, or even
grammatical.
Does not have a vocabulary database that
does not allow for an understanding of a
19th
century idiom.

9. ORIGINAL HUMAN
TRANSLATION
MACHINE
TRANSLATION
Hola! Vos
quinze sols!
Hollo! You
there! Your
money!
Hola! Your
fifteen grounds!
Je ne paye
pas!
I pay nothing. I do not pay.
Mais. How so? But.
On ne
commence
qua deux
heures. Le
parterre est
vide. Exercons-
nous au fleuret.
The play will not
begin till two.
The pit is empty.
Come, a bout
with the foils to
pass time.
One starts only
at two hours.
The floor is
empty. Exert we
with the foil.

10. 2. PROVIDING APPROPRIATE
FEEDBACK TO LEARNERS
Mechanized systems do not
have the capability to customize
feedback with the same
sensitivity that a human
instructor does.

12. 3. VOICE RECOGNITION
Voice recognition
refers to the capability of a
computer or software
program to accept and
interpret spoken dictation,
or to understand and carry
out voice commands.

13. 4. GRAMMAR CHECKING
Software is not sensitive to context or conventions of use,
such as the difference between academic English written
for the humanities versus written for the sciences.

15. 5. ESSAY MARKING
There is no software that
can “read” a text and write
relevant comments on it.
Although the software can
be trained to look for
structures that show certain
rhetorical moves, it does
not assess whether the
writer has in fact addressed
the essay topic.

16. Though e-rater….

17. WHAT COMPUTERS CAN DO
REVIEW
5. ESSAY MARKING
1. MACHINE TRANSLATION
2. PROVIDING APPROPRIATE
FEEDBACK TO LEARNERS
3. VOICE RECOGNITION
4. GRAMMAR CHECKING

18. WHAT COMPUTERS
CAN DO
There are many arenas in which computers equal, or surpass human
performance.

19. 1. DRILLS
Unlike humans who may grow
weary of repeating a word for a learner, a
computer will repeat a word a hundred
times if the user wishes.

20. 2. ADAPTIVE TESTING
As test takers respond to test items in CAT, the
test adapts itself to each user by choosing subsequent
test items based on test taker’s performance on
preceding items.

21. 3. CORPORA AND CONCORDANCING
A concordance
is a type of index that
searches for
occurrences of a
word or combinations
of words, parts of
words, punctuation,
affixes, phrases, or
structures within
corpus, and can show
immediate context.
CHOCOLA7TE
1. *milk*
2. *cake
3. Hot *
4. White *
5. *cream
6. *bar
7. Dark *
8. *mousse
9. * bar
10. Melted *

22. 4. COMPUTER MEDIATED COMMUNICATION
A tool of communication for users.
Has the informal
feeling of a conversation.
For immediate response
and immediate feedback
rather that the time lag
involved with e-mail.
Multi-user domains, MUDs or multi-
user domains object-oriented, MOOs, are
both synchronous and asynchronous.

24. 5. MULTIMEDIA PRODUCTION
Digital Video
Requires that learners bring a story to life
with voice, images, a soundtrack or sound effects,
and a sense of movement, through cuts and
transitions.
Hypertext/Web-based stories
Create a medium on the web through
which learners can explore issues of nonlinearity.
More accessible that digital video, the Web is an
environment in which learners can imagine and
produce stories.

25. WHAT COMPUTERS
CAN DO
REVIEW
1. DRILLS 2. ADAPTIVE TESTING
3. CORPORA AND CONCORDANCING
4. COMPUTER MEDIATED COMMUNICATION
5. MULTIMEDIA PRODUCTION

26. Creating and
Evaluating
Computer-
Based
Activities

27. Appearance
Colors should be chosen carefully.
Avoid colors that cause problems to the eyes.
Ex: Red and green for colorblind
Fonts should be simple and without serifs.

28. • Viewable screen should not extend to the right of the
viewing space of an average computer monitor.
•
• Graphics should be kept small for faster loading over
slow internet connection.
• Limit the amount of text in one page.
• Minimum downward scrolling.

29. Feedback
• Should anticipate possible wrong answers and give
explanations.
• Correct answers should be explained in case learner
chooses randomly.
• Links to review materials should be provided.
• Should be interactive.
Value
Should address a need in the planned curriculum

30.
The advent of Internet has changed
the way we look at Computer Assisted
Language Learning (CALL). Machines are
now used as tools for communication rather
than simply as ways of delivering
automated drills or exercises.

31. Teach
something
that never
runs out of
style…