Development of Task-Based Instructional E-Module for Data Processing Unit of Information Technology Courses
Keywords:E-Module, Task-Based Instructional, Data Processing Unit
Information technology has become a necessary skill for work, and it is a compulsory public course for students at Zhumadian Vocational and Technical College, where data processing is one of the learning units. Teaching methods and materials are crucial to improve the learning effect in information technology courses, and task-based teaching is being promoted by more and more educators as a teaching method that can effectively improve the teaching effect in information technology courses in higher education institutions. This research work attempts to develop a task-driven instructional e-module for students at Zhumadian Vocational and Technical College and to test its functionality and usability. The research selects 5 experts and 22 lecturers of information technology courses for the samples. The experts fill in an expert evaluation form to assess the E-module’s functionality, while the lecturers fill in a questionnaire form to evaluate its usability, and three experts ensure the validity of the expert evaluation form and the questionnaire. The SPSS 26.0 is used for data analysis to evaluate the e-module. The results of this research showed that five experts considered the e-module to be highly functionality in terms of format, content, language, media display, and interactivity. The 22 lecturers who participated in the questionnaire also agreed that the e-module had a high level of usability in terms of usability, ease of use, attractiveness, and clarity. Meanwhile, experts and lecturers agree that students at Zhumadian Vocational and Technical College can use task-based teaching to improve their study of data processing modules in information technology courses. It is hoped that this research can provide some useful reference for further promoting the teaching reform of information technology major in higher vocational colleges.
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Copyright (c) 2023 Ka Chen, Mohamad Ikhwan Juhari, Nurulwahida Azid, Nur Rahma Putra Andika Bagus, Ema Wulansari Rizky, Purwantono, Noor Aliff Zainuddin
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