Universiti Teknologi Malaysia Institutional Repository

Prominent features for generation Z learning behaviour in digital society environment

Farid, Nazatul Nabila (2017) Prominent features for generation Z learning behaviour in digital society environment. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.

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Abstract

Generation Z has never known the world without being connected, without being digital, without the mobile phone, without superfast internet. There are some myths stated that generation Z has a shorter attention span than a goldfish. An example of recently digital environment is Instagram, they have specialized to decreasing attention span of this generation. Each of young minds will progress from their brief 8 second frame of mind into 4 second filters. In other words, because of their increasing use of digital media, generation Z will soon process or filter out content within 4 second window, since time is so valuable to them. However, because of their characteristics, they will appear some problem for them during their university life. The classroom challenge is that students are digital and many teachers are analogue. Old school teachers are not prepared to teach the “future content” that Gen Z love. Future content includes software, hardware, digital, technological and social media. The gap between what schools are teaching and the needed skill of the future is widening. Hence, this study is carried out to know the learning behaviour of generation z which can be related to digital society environment. Besides reading the previous researchers work, research method was also used in this study. Data for this research is collected using questionnaire. The result of this research shows a positive impact from generation z. The prominent learning behaviour generation z is determine using frequency based selection method. The analysis of prominent learning behaviour generation z with digital society environment is shown by a mapping of prominent learning behaviour generation z in digital society environment and discussion relates features learning behaviour is also being discussed.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Sains (Keselamatan Maklumat)) - Universiti Teknologi Malaysia, 2017; Supervisor : Dr. Mohd Fo'ad Rohani
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:78894
Deposited By: Fazli Masari
Deposited On:17 Sep 2018 07:22
Last Modified:17 Sep 2018 07:22

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