Formulating M-learning framework for generation Z using the Fuzzy Delphi Method
<p>This study was aimed to formulate m-learning framework for generation Z as a guideline to improve the teaching and learning process among generation Z learners,who was born in the year 1995 2012, also known as Digital Natives, Me Generation, and Generation N. This generation is the...
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| Format: | thesis |
| Language: | eng |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=10584 |
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| Summary: | <p>This study was aimed to formulate m-learning framework for generation Z as a guideline to improve the teaching and learning process among generation Z learners,who was born in the year 1995 2012, also known as Digital Natives, Me Generation, and Generation N. This generation is the first generation to be born and grown with ready-to-use technology and a high-tech environment that differentiate their outlook from the previous generations. Although several researchers demonstrate the m-learning frameworks for teaching and learning, there is a limitation in the user interface (UI) design in the frameworks that suitable for the generation Z. To conduct this research study, Design and Development Research (DDR) method is used to identify the elements of generation Z characteristics, user interface (UI) design, and the m-learning instructional design (ID), formulate and evaluate the m- learning framework for generation Z. The instrument used in this research study is library research, survey, and Fuzzy Delphi Method (FDM). There were 91 generation Zs were involved in the first survey which were the percentage of education level recorded were 45.1% from secondary school student, 5.4% from pre-university student, 14.3% from Diploma student, and 35.2% from Bachelors Degree student. The collected data were transcribed and analysed thematically to form the items of the FDM questionnaire. The findings showed that 23 elements which seven elements of generation Z characteristics, 12 elements of user interface (UI) design, and four elements of m-learning instructional design (ID) were collected. The collected data was extended to the second survey using FDM questionnaire was administered to the panel of 10 experts. The analysis was conducted using the FDM machine by converting the five Likert scale to five-point fuzzy scale and applying the FDM techniques. To find the experts consensus, 10 experts were selected from various fields such as Human-Computer Interaction (HCI), multimedia, m-learning, e- learning, information system, instructional design, and learning design. The result showed that there were 22 essential elements that met the expert consensus: five elements of generation Z characteristics, 12 elements of user interface (UI) design, and four elements of m-learning instructional design (ID). The study implicates that the formulated m-learning framework for generation Z can be utilized by the stakeholders to enhance the effectiveness of teaching and learning through mobile technology.</p> |
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