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Before discussing the implications of these findings it
should be reemphasized that they are both partial and preliminary. Indeed,
without attending to their statistical significance as subsequent analyses
will, the term ’findings’ is premature. Nevertheless, this data
does suggest a number of possible outcomes which can provide a basis for
ethical reflection in this context. For example, if having special meetings
with the instructor turns out to be associated with increased in-class
student responsiveness, questions about the worth of that responsiveness
arise. In what follows, this question and others of a similar nature will
be explored primarily for the purpose of sketching a framework for assessing
the ethical value of such possible results. In addition, more will be
said about the ways in which this study serves to predict the consequences
of a technological innovation prior to its implementation.
At the outset of this report, the present study was
characterized as a dual process of documenting empirical consequences
and explicating the ethical value of those consequences. Thus far the
focus has been upon the empirical component. Yet questions concerning
the normative component are of equal importance. How exactly is the value
of some empirical consequences to be explicated? What determines whether
a given result is or is not of value? One approach to be explored here
stems from John Dewey’s view that “the specific values discussed
in educational theories coincide with aims which are usually urged.”4
This suggests that the value of some outcome might be assessed by means
of its relationship (or lack thereof) to educational aims. That is, a
given outcome may be shown to be an instantiation of some value which
is implicit in the expression of an educational aim.
If statements of educational aims are to provide a basis for determining
the value of particular pedagogical outcomes, a number of issues must
be addressed. First, educational aims are wide-ranging. They vary from
one institution to another and may at times seem inconsistent, as in the
attempt to teach both cooperation and a competitive spirit. Statements
of educational aims also differ on a scale that ranges from more general
to more specific. Controversy may arise over what specific actions or
policies serve as a means to some generally-stated end. The diversity
in educational aims is also evident in social expectations. Students are
expected to learn much more than the sum total of the course content in
their educational careers. They are expected to acquire a sensitivity
to individual differences and a respect for the right of others, to learn
to communicate, cooperate, and compete in positive ways, to develop a
healthy self-concept, etc., even though there are rarely any particular
courses in these “subjects.” Educational values may thus be
reflected in the wider aims of education which transcend particular disciplines.
The complexity produced by the wide range of educational aims can be appreciated
by pursuing some of the possible outcomes of the present study. Assume,
for example, that the consequences of having student-teacher meetings
in the present context is that students become more active and involved
within the classroom but that this activity does not facilitate learning.
Assume further that students preferred receiving their feedback and diagnoses
from the teacher rather than from the computer, and that they developed
more positive attitudes toward the instructor and their classmates as
a result of the special meetings. Would these results be valuable? In
particular, would they be worth preserving by refusing to replace the
human-supplied feedback by computer-supplied feedback? The value of increased
learning and performance is clear because of its relationship to a central
aim of education, but the value of increased responsiveness in class or
more positive attitudes, when divorced from any increased learning of
the subject matter being taught, is not so clear. These results would
supposedly be of value by relationship to the wider aims of education.
These aims are more difficult to identify and their importance relative
to the more central aims is certainly difficult to assess precisely. How
much would one’s judgment change, for instance, if the positive impact
on student responsiveness and attitudes were accompanied by a decrease
in subject matter learning?
These questions point in the direction of future inquiry which will go
hand-in-hand with continued empirical research. Much of that inquiry will
explore the use of statements of educational aims as a framework for assessing
the value of particular empirical results. Can these aims be reliably
identified? Can their corresponding values be explicated? What sorts of
considerations justify educational aims, particularly those placed in
the “wider” category? What kinds of educational theories would
make the wider or peripheral aims more central? These and related questions
will be pursued during the second half of this study. As already noted,
they constitute elements of the normative aspects of a study which has
both empirical and normative components. It should be clear, however,
that these components are not independent of each other. The idea that
the consequences of some innovation can be first determined and then evaluated
in an ethical light is too simplistic. One does not determine THE consequences
in the sense that all are considered and measured. Rather, only certain
consequences, already suspected of being ethically relevant, are explored.
Something similar happens when putting a research hypothesis to the test.
The observations made in that test are selected from a large number of
possibilities. Only those which are logically related to the hypothesis
are considered. Likewise, the possibility of having ethical relevance
guides the empirical focus of research concerned with actual outcomes
and their value. It also provides the impetus for further inquiry into
the foundations for that possibility. What results is a process of refinement
and clarification in which the relationship of certain outcomes to certain
values is made more explicit.
One consideration of significance in the conduct of this research involves
the issue of managing technology. The question of whether the student-teacher
meetings should be replaced by student-computer interaction has been the
prime motivation for this research. Much of the research design has been
built around this concern, and the way in which this concern is addressed
bears further discussion. In the descriptions given above, the expression
“human-supplied versus computer-supplied feedback” or some equivalent
is often used. This may give the impression that the only difference in
treatment between the two student groups is whether the diagnostic feedback
comes directly from the teacher or from the computer. But actually there
are other associated differences. For example a student may ask a question
and receive an answer during the special meeting, or a student may express
some doubts and/or fears and receive some reassurance and/or special motivation.
Neither of these interactions are possible with the computer-supplied
feedback. So, the two student groups are not being treated equally except
for the origin of the information they receive. There is a difference
in the information itself.
Earlier it was stated that the content of the diagnostic
feedback was identical for a given student difficulty regardless of the
origin of the feedback. This statement is in need of some elaboration,
however. It is evident that students receive other types of information
besides that of diagnosis and prescription. Also, students may demonstrate
additional weaknesses during the course of their individual meetings and
thus receive augmented diagnoses.
All of these complexities are recognized in the present research design.
The main concern has been to determine, prior to implementation, what
the consequences would be of replacing the special meetings with an expanded
computer program. In that regard, the differences between having human-supplied
or computer-supplied feedback in the context of the current study should
be identical to the shift, from one semester to the next, of changing
from a course based on human-supplied feedback to a course based on computer-supplied
feedback. This shift is in fact simulated in the existing research procedures.
The main objective of marshaling sound evidence concerning the empirical
consequences of this potential shift is thus secured. Attaining this objective
supports the effort to intelligently manage computer technology. It does
so by contributing to the accurate prediction of the effects of introducing
a technological innovation prior to actually implementing that innovation.
If having computer-supplied feedback results in an increase in learning
and other desirable results, without an increase in undesirable results
or a decrease in previously obtained advantages, then work on producing
a system for generating computer-supplied feedback should begin. At the
very least, the human-generated, computer-delivered feedback which is
actually provided during this study should be continued. It may turn out,
of course, that different types of students may react differently to the
different treatment conditions. That is, students may possess various
characteristics which predispose them toward increased learning and positive
attitudes under one mode of feedback as opposed to the other. This prospect
opens up a number of possibilities that will be investigated during the
second year of this study. That investigation will address the opportunity
for applying the results of this research toward increased individualization.
Increased individualization has been one of the chief motivations for
the development of computer-assisted instruction. This opportunity also
opens the door to explicating the role of individualization as a value
and aim within the American educational system. The combined empirical/normative
emphasis of this research will thus continue.
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