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Students’ Perception of Blended Learning at Junior High School (Combination of Synchronous and Asynchronous Learning)

Bibliographic Data

ID22114045
AuthorsNi Komang Sri Mariati (Universitas Pendidikan Ganesha), Luh Putu Artini (0000-0001-5592-5340, Universitas Pendidikan Ganesha), Ni Putu Era Marsakawati (0000-0002-7008-5594, Universitas Pendidikan Ganesha)
Year2022
Volume10
Issue2
Pages1235-1245
Publication date2022-12-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIDEAS Journal on English Language Teaching and Learning Linguistics and Literature (JOURNAL)
Journal identifiersISSN: 2338-4778 • E-ISSN: 2548-4192
PublisherInstitut Agama Islam Negeri (IAIN) Palopo (PUBLISHER)
DOI10.24256/ideas.v10i2.3034
OpenAlexW4313562160
LanguageEN
Citations received1
References cited5

Since the pandemic era, the process of teaching and learning has changed. Teachers and educators need to choose the appropriate learning model. This study aims to find out the suitable model learning between two models there are synchronous and asynchronous learning models. The study involved two classes, A-class (32 students) and B-class (35 students) of seven grade students at SMP Negeri 2 Tejakula. Data was collected by online questionnaire and shared via WhatsApp. The data were analyzed with the descriptive qualitative method by counting the mean of the Likert scale. The result shows that the student prefers to choose the asynchronous learning model, with the percentage of asynchronous learning at 69% and the synchronous learning model at 63%. It indicates two learning models can be implemented, but the suggestion to the teacher uses the asynchronous model to gain students’ participation

Asynchronous communication · Asynchronous learning · Cooperative learning · Likert scale · Machine learning · Mathematics education · Multimedia · Perception · Qualitative property · Synchronous learning · Teaching method · Computer Science · Educational Curriculum and Learning Methods · Educational Methods and Media Use · Psychology · Technology-Enhanced Education Studies · Artificial Intelligence

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo

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Open DOIOpen Access
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