Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne

Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne

Students’ attendance rate is often linked to their academic performance. It is a common belief that students who have a higher attendance rate perform better in classroom assessments. When students have a poor attendance rate, it is assumed that they miss out information that is vital to their learn...

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Bibliographic Details
Main Author: Seng, Hui Zanne
Format: Monograph
Language:English
Published: Academy of Language Studies 2021
Subjects:
LG Individual institutions
Malaysia
Pulau Pinang
Universiti Teknologi MARA
Asia
Online Access:https://ir.uitm.edu.my/id/eprint/57382/1/57382.pdf
https://ir.uitm.edu.my/id/eprint/57382/
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Institution: Universiti Teknologi Mara
Language: English
id my.uitm.ir.57382
record_format eprints
spelling my.uitm.ir.573822022-05-05T01:48:13Z https://ir.uitm.edu.my/id/eprint/57382/ Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne Seng, Hui Zanne LG Individual institutions Malaysia Pulau Pinang Universiti Teknologi MARA Asia Students’ attendance rate is often linked to their academic performance. It is a common belief that students who have a higher attendance rate perform better in classroom assessments. When students have a poor attendance rate, it is assumed that they miss out information that is vital to their learning. The importance of attendance is stressed by UiTM with its attendance policy. The UiTM attendance policy indicates that students will be barred from sitting for the final exam if their attendance rate is lower than 80%. Hence, monitoring student attendance is an important practice for instructors. Academy of Language Studies 2021-10 Monograph NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/57382/1/57382.pdf (2021) Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne. Bulletin. Academy of Language Studies. Issue 3 Issue 3
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 LG Individual institutions
Malaysia
Pulau Pinang
Universiti Teknologi MARA
Asia
spellingShingle LG Individual institutions
Malaysia
Pulau Pinang
Universiti Teknologi MARA
Asia
Seng, Hui Zanne
Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
description Students’ attendance rate is often linked to their academic performance. It is a common belief that students who have a higher attendance rate perform better in classroom assessments. When students have a poor attendance rate, it is assumed that they miss out information that is vital to their learning. The importance of attendance is stressed by UiTM with its attendance policy. The UiTM attendance policy indicates that students will be barred from sitting for the final exam if their attendance rate is lower than 80%. Hence, monitoring student attendance is an important practice for instructors.
format Monograph
author Seng, Hui Zanne
author_facet Seng, Hui Zanne
author_sort Seng, Hui Zanne
title Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
title_short Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
title_full Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
title_fullStr Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
title_full_unstemmed Monitoring student attendance using Google Forms and Google Data Studio / Seng Hui Zanne
title_sort monitoring student attendance using google forms and google data studio / seng hui zanne
publisher Academy of Language Studies
publishDate 2021
url https://ir.uitm.edu.my/id/eprint/57382/1/57382.pdf
https://ir.uitm.edu.my/id/eprint/57382/
_version_ 1732948337138597888

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