On Effectiveness Assessment of Promoting the Digital Learning Policy - Innovative Management in Information and Production - page 245

information literacy, thereby shortening the digital divide and implementing the
idea of equality of educational opportunity to turn the digital divide into the digital
opportunity.
UNESCO believes that the management and control of the educational quality
need to be strengthened ( UNESCO 2006 ). Educational measures, such as edu-
cational hardware and software updates to enhance the quality and quantity of
education, require special supervision and evaluation mechanisms to promote the
education policy and the implementation's effectiveness and quality. A professional
assessment mechanism was established to review the effectiveness of quality, and
mechanisms to assess quality were established by the organizational self-assessment
( Lycke 2004 ). Odden and Busch ( 1998 ) found from the study of the subsidy program
that the main reasons subsidy programs cannot effectively achieve the objectives
is that those in power do not understand the effective practice. As for how to
evaluate the effective practice, Freeman and Marian ( 1981 ) Freeman and Soloman
(1981) mentioned that the assessment studies should emphasize the relevance and
feasibility of project and increase the possibility of improving the status quo of
the program.
Macrae ( 1985 ) explains that the policy assessment process requires the indicator
survey system to be built. For the purpose of this study, semantic variables of
fuzzy theory and fuzzy computing were used to understand the degree of feelings
of the subsidy-granted students toward the computer education policy. This study
adopted 15 purposive sampling students according to the 4 expected targets of the
project, “own computer and network, information literacy, learning quality, and
applications of free software,” and constructed the questionnaire Q&A mode to
gather the relevant statistics data for building the integrity of the policy investigation
and assessment systems to continue the policy performance of subsidies for
disadvantaged students.

2 Overview of Fuzzy Theory

Human thinking can be divided into logical and sequential formal thinking and
the overall and integrated fuzzy thinking. Fuzzy thinking is more suitable for
assessment of multiple or relevant characteristics between objects, especially the
attribute issues that are not easy to express perfectly by thinking and cognition.
For example, the knowledge and language of humans contain ambiguity because of
their subjective consciousness, time, environment, and different angles of judging
things ( Wu and Hsieh 2012 ).
Social science aims to study the internal motivation or feeling of human
behaviors; traditional quantifiable statistics almost require the subject to express
a single motivation or feeling and attempt to apply definitive quantified statis-
tics to display abnormal behaviors of human beings and analyze psychologi-
cal measurements from a probability perspective, mathematical pattern actually