Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz

The focus in this study is to explore the methods of using computer-based micro learning to enhance student retention in Structured Query Language (SQL) key terms. One of the primary issues in teaching technical courses is a difficulty for students to recall and explain terminologies. It is one of t...

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Main Authors: Awawdeh, Noor, Dahlan, Noornina, Ab Aziz, Azira
Format: Book Section
Language:English
Published: Universiti Teknologi MARA Melaka Kampus Jasin 2021
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Online Access:https://ir.uitm.edu.my/id/eprint/86504/1/86504.pdf
https://ir.uitm.edu.my/id/eprint/86504/
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spelling my.uitm.ir.865042023-11-30T07:42:20Z https://ir.uitm.edu.my/id/eprint/86504/ Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz Awawdeh, Noor Dahlan, Noornina Ab Aziz, Azira Coding theory The focus in this study is to explore the methods of using computer-based micro learning to enhance student retention in Structured Query Language (SQL) key terms. One of the primary issues in teaching technical courses is a difficulty for students to recall and explain terminologies. It is one of the fundamental skills when learning technical courses. Educators introduce many techniques or methods to reduce students’ difficulties such as implementing a micro learning concept. The concept of computer based micro learning encompasses a modern approach to learning, based on short, concise lessons delivered to the learners. Micro learning allows knowledge and information to be divided into small “chunks”. Method: This study conducts a survey after each lesson to compare the number of terminology that students can recall or explain. First, students are given a lesson without adding a micro learning revision. Then, students receive additional micro learning revision to help them to recall. Results: Using the evidence from the questionnaire, the six cases are classified into two categories that have a little improvement and no improvement. Most cases demonstrate improvement when asked to recall SQL terminology. Summary: the study finds the retention and understanding level increases in comparison with traditional methods. In assessing student performance, this paper emphasizes the use of available technology to support classroom activities. The paper considers the implications for the teaching approach and student learning. Universiti Teknologi MARA Melaka Kampus Jasin 2021 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/86504/1/86504.pdf Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz. (2021) In: International Conference on Emerging Computational Technologies (ICECoT 2021). Universiti Teknologi MARA Melaka Kampus Jasin, Kampus Jasin, Melaka, pp. 95-99. ISBN 978-967-15337 (Submitted)
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Coding theory
spellingShingle Coding theory
Awawdeh, Noor
Dahlan, Noornina
Ab Aziz, Azira
Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
description The focus in this study is to explore the methods of using computer-based micro learning to enhance student retention in Structured Query Language (SQL) key terms. One of the primary issues in teaching technical courses is a difficulty for students to recall and explain terminologies. It is one of the fundamental skills when learning technical courses. Educators introduce many techniques or methods to reduce students’ difficulties such as implementing a micro learning concept. The concept of computer based micro learning encompasses a modern approach to learning, based on short, concise lessons delivered to the learners. Micro learning allows knowledge and information to be divided into small “chunks”. Method: This study conducts a survey after each lesson to compare the number of terminology that students can recall or explain. First, students are given a lesson without adding a micro learning revision. Then, students receive additional micro learning revision to help them to recall. Results: Using the evidence from the questionnaire, the six cases are classified into two categories that have a little improvement and no improvement. Most cases demonstrate improvement when asked to recall SQL terminology. Summary: the study finds the retention and understanding level increases in comparison with traditional methods. In assessing student performance, this paper emphasizes the use of available technology to support classroom activities. The paper considers the implications for the teaching approach and student learning.
format Book Section
author Awawdeh, Noor
Dahlan, Noornina
Ab Aziz, Azira
author_facet Awawdeh, Noor
Dahlan, Noornina
Ab Aziz, Azira
author_sort Awawdeh, Noor
title Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
title_short Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
title_full Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
title_fullStr Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
title_full_unstemmed Adapting computer-based micro learning to enhance student retention of SQL key terms / Noor Awawdeh, Noornina Dahlan and Azira Ab Aziz
title_sort adapting computer-based micro learning to enhance student retention of sql key terms / noor awawdeh, noornina dahlan and azira ab aziz
publisher Universiti Teknologi MARA Melaka Kampus Jasin
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/86504/1/86504.pdf
https://ir.uitm.edu.my/id/eprint/86504/
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