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The study aimed to evaluate the performance of faculty, students, and other stakeholders in Machine Shorthand. Many Office Administration students, faculty, stenographers, and stakeholders encounter challenges with Machine Shorthand, as they are introduced to this subject only at the college level. Teaching this subject requires significant effort, focus, skill, and attention from the faculty.
A descriptive research design was employed, utilizing the revised Policies and Guidelines on Instructional Materials Development (approved via BOT Resolution No. 60, series of 2022) and the Criteria for Textbook Evaluation with a 5-point Likert scale to gather data on striking speed, reading comprehension, and transcription skills. The study implemented pre-pilot and post-pilot tests to assess performance in Machine Shorthand. Statistical tools, such as the weighted mean, were used for data interpretation. Forty-eight (48) students, along with five (5) faculty members, participated in the survey.
Results showed that the pre-pilot test achieved an overall total weighted mean score of 4.69, interpreted as "outstanding," while the post-pilot test for faculty achieved an "outstanding" interpretation with a perfect weighted mean score of 5.00 (see appendix A). The findings revealed that development of instructional materials shall be proposed for the improvement of students’ performance which include learn to operate the machine shorthand through proper keyboard techniques and full understanding of the principles involved in learning. The purpose of this research that students' progress in machine shorthand changes from less satisfactory in the pre-test to satisfactory in the post-test but still needs improvement.
"Assessment and Performance in Machine Shorthand: Basis on the Development of Instructional Material", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 2, page no.a692-a720, February-2025, Available :http://www.ijrti.org/papers/IJRTI2502072.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator