Using deep learning approach (DLA) in teaching gas laws

Using Deep Learning Approach in teaching Gas Laws is Action Research that was conducted with three sections of Grade 9 Students. After securing appropriate permissions and ethics clearance, the researcher asked students to answer a standardized pre-test. Ten active strategies were implemented. Furth...

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Main Author: Lacse, May Anne T.
Format: text
Language:English
Published: Animo Repository 2018
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Online Access:https://animorepository.dlsu.edu.ph/etd_masteral/6555
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13547/viewcontent/Lacse__May_Anne_T._2.pdf
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_masteral-135472023-01-25T06:20:33Z Using deep learning approach (DLA) in teaching gas laws Lacse, May Anne T. Using Deep Learning Approach in teaching Gas Laws is Action Research that was conducted with three sections of Grade 9 Students. After securing appropriate permissions and ethics clearance, the researcher asked students to answer a standardized pre-test. Ten active strategies were implemented. Further, the students also had their student journal wherein they were able to write what they have expected, and learned during each day. After the whole duration of the Gas Laws were discussed and learned, the teacher again instructed the students to answer the standardized test as a post test. The results of the study showed that Laboratory Activity, Group Activity, Virtual Laboratory, Discussion, Board work, and Flipped Classroom are the Active Learning Strategies that promoted Deep Learning of Gas Laws in different aspects. 2018-11-01T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etd_masteral/6555 https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13547/viewcontent/Lacse__May_Anne_T._2.pdf Master's Theses English Animo Repository Active learning Gas laws (Physical chemistry)—Study and teaching Science and Mathematics Education
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Active learning
Gas laws (Physical chemistry)—Study and teaching
Science and Mathematics Education
spellingShingle Active learning
Gas laws (Physical chemistry)—Study and teaching
Science and Mathematics Education
Lacse, May Anne T.
Using deep learning approach (DLA) in teaching gas laws
description Using Deep Learning Approach in teaching Gas Laws is Action Research that was conducted with three sections of Grade 9 Students. After securing appropriate permissions and ethics clearance, the researcher asked students to answer a standardized pre-test. Ten active strategies were implemented. Further, the students also had their student journal wherein they were able to write what they have expected, and learned during each day. After the whole duration of the Gas Laws were discussed and learned, the teacher again instructed the students to answer the standardized test as a post test. The results of the study showed that Laboratory Activity, Group Activity, Virtual Laboratory, Discussion, Board work, and Flipped Classroom are the Active Learning Strategies that promoted Deep Learning of Gas Laws in different aspects.
format text
author Lacse, May Anne T.
author_facet Lacse, May Anne T.
author_sort Lacse, May Anne T.
title Using deep learning approach (DLA) in teaching gas laws
title_short Using deep learning approach (DLA) in teaching gas laws
title_full Using deep learning approach (DLA) in teaching gas laws
title_fullStr Using deep learning approach (DLA) in teaching gas laws
title_full_unstemmed Using deep learning approach (DLA) in teaching gas laws
title_sort using deep learning approach (dla) in teaching gas laws
publisher Animo Repository
publishDate 2018
url https://animorepository.dlsu.edu.ph/etd_masteral/6555
https://animorepository.dlsu.edu.ph/context/etd_masteral/article/13547/viewcontent/Lacse__May_Anne_T._2.pdf
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