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the technology that incorporate social change. Participants in the programs answered ques-
tions regarding developmental choices, preparing ahead, shopping, using technical labels,
and having people learn the techniques of the new technology within a short time after
awakening.
Dickin et al. (2005) reported increased success in meeting most technological objectives
when ITISERS reported value to the program and favored the managerial practices of their
superiors. Dickin et al. unexpectedly reported no sizeable correlations with the other meas-
ured characteristics of work context. Past research according to Dickin et al. (2005) indic-
ated multifarious associations between job satisfaction and performance, and attitudes had
unpredictable effects on productivity.
The authors used the multiplicative regression model as a tool to assess cognitive devel-
opment or social change. They described the choice as a “statistical strength” (p. 2203), yet
the model does not function to measure either the impact of the quality of the sessions or
the life circumstance changes in the participants. The tool may not serve to assess the full
range of benefits to the program. Knowledge of these factors is crucial to understanding the
quality of service provide by ITISERS.
An opportunity for bias existed in the possibility that participants overreported computer
literacy with regard to social change. The ITISERS individuals teaching the program also
collected the questionnaires from the participants. The sampling process used is not gener-
alizable because of limited sample size. The authors claimed to be the first to establish a
correlation between computer science training program effectiveness and the work context
perceptions of computer systems education personnel. The notion that the work context
perceptions of the educators can be a significant factor in computer science education is of
benefit in developing the Depth essay and perhaps in planning the Application project.
Hill, A. “Developmental Issues in Attitudes to Technology and Science.”
Proceedings of
IEEE Society, 69
, (2002): 259-266.
Hill (2002) described a study of technological choice as influenced by our modern de-
mands and systems manipulations, as well as media advertisements. The purpose of the
study was to illustrate and communicate the opposing influences on our modern demands
and systems manipulations choice. Hill (2002) described other studies supporting the no-
tion of natural predispositions to certain technological preferences. Computer science cog-
nitive development is a case in point on the phenomenon. Past research indicated the de-
fensive role of avoiding new nonworking technologies has a link to acquiring user inclin-
ations and learned repugnancies. Technology acceptance may be changeable through the
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