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    <subfield code="a">Jacob, Joseph M.</subfield>
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    <subfield code="a">Technology integration in instructional delivery of college faculty:</subfield>
    <subfield code="b">basis for a balanced scorecard/</subfield>
    <subfield code="c">Joseph M. Jacob.</subfield>
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    <subfield code="a">Para&#xF1;aque City:</subfield>
    <subfield code="b">Olivarez College,</subfield>
    <subfield code="c">2016.</subfield>
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    <subfield code="a">Master Thesis</subfield>
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    <subfield code="a">This study attempted to assess the technology integration in instructional delivery of college faculty with an end view of developing an intended scorecard. Specifically, it sought to provide answers to the following research questions: 1. What is the profile of the respondents in terms of: 1.1. gender; 1.2. age; 1.3. course area; 1.4. academic qualifications; and,  1.5. teaching experience?  2. What are the current practices and the extent of technology  integration in instructional delivery of the respondents?  3. How confident are the faculty-respondents in integrating  technology in instructional delivery?  4. Is there a significant relationship among the respondents'  confidence level, current practices, extent of integration, and  technology integration barriers in their instructional delivery?  5. Is there a significant difference on the factors affecting  technology integration in instructional delivery of respondents when  grouped accordingly?  6. What technology barriers have placed great impact on  instructional delivery of the respondents?  7. Based on the result of the study, what appropriate balance score  card can be developed?  Methodology  This study utilized descriptive correlation method using statistical  survey questionnaire by Gorder (2008) on Technology Integration  Standards Configuration Matrix (TISCM) among eighty five (85)  respondents who were general education and professional education  faculty from Southville International School and Colleges, South SEED-  LPDH College and SEED Academy, respectively. Frequency count and  percentages were used to describe the profile of the respondents; while  weighted means for the responses in survey questionnaire; and t-test,  Pearson r, and ANOVA were utilized for the purpose of testing the  hypotheses stated in this study.</subfield>
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