Comparing Google Classroom and D2L Brightspace Using the Technology Acceptance Model

Francom, Gregory M.; Schwan, Anna; Nuatomue, Jeremiah N.

doi:10.1007/s11528-020-00533-0

Cited by 30 publications

(27 citation statements)

References 18 publications

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“…The Awareness (AW) construct includes four items which are adapted from Mutahar et al ( 2018 ). Technology Challenges (TC) consists of five items (Viitanen et al, 2011 ); Operational Ability (OA) five items (Bailey, 2002 ; Davis, 1989 ) , Perceived Ease of Use (PEU) five items (Al-Maroof & Al-Emran, 2018 ; Gefen & Straub, 2003 ) and Behavioural Intention to Use (BIU) also five items (Al-Maroof & Al-Emran, 2018 ; Venkatesh et al, 2008 ). It is noted that one negatively worded item (i.e., OA5) has been included in the survey scale (see Appendix ) which has been reverse coded during the data analysis.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria

Saidu

Mamun

2022

TechTrends

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University teachers in Bangladesh and Nigeria, in general, are novices in using modern technologies such as Google classroom in the teaching learning process. This study aims to explore teachers’ attitudes towards the use of Google classroom and investigate the factors that influence the teachers’ acceptance and behavioural intentions to use it as a learning management system. A quantitative method has been used to examine the teachers’ acceptance of Google classroom based on a simplified technology acceptance model (TAM) in two universities located in Bangladesh and Nigeria. The study reveals that Bangladeshi teachers have a higher positive attitude towards accepting this platform compared to Nigerian teachers. Besides, Nigerian teachers are impacted significantly by the technology challenges during its use. The findings of this study inform educators of the key aspects of Google classroom use which could enable them to effectively adopt it during and post the COVID-19 pandemic.

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Section: Methodsmentioning

confidence: 99%

Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria

Saidu

Mamun

2022

TechTrends

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“…Perhaps, students' unpreparedness to embrace the google classroom which is the new normal has affected the educational process especially during Covid-19 (Oktaria, & Rahmayadevi, 2021). Google classroom integrates newer techniques and technology into the classroom for effective and efficient teaching and learning (Francom, Schwan & Nuatomue, 2021). Google classroom as explained by Ismail, Mustakim, and Samad, (2021) that it aids students in developing critical thinking, information literacy, collaboration, problem-solving skills and communication skills.…”

Section: Introductionmentioning

confidence: 99%

Effect of Google Classroom on Academic Achievement of Undergraduate Students in Computer Database Management System in Universities in South East Nigeria

Basil

Umakalu

Nwangwu

2022

International Journal of Instructional Technology and Education

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“…TAM dikembangkan dan diperkenalkan oleh Fred D. Davis melalui persepsi kegunaan dan persepsi kemudahan penggunaan sebagai variabel yang menjadi hipotesis penentu penerimaan pengguna terhadap teknologi informasi [7]. Saat ini TAM telah banyak digunakan oleh para peneliti sebelumnya dan mampu menunjukkan bagaimana persepsi pengguna terhadap penggunaan dan penerimaan sebuah teknologi berdasarkan konstruk yang ada pada TAM itu sendiri maupun tambahan variabel eksternal [8], [9], [10], [11], [12], [13], [14].…”

Section: Pendahuluanunclassified

“…Francom, Gregory M., dkk juga menggunakan TAM untuk membandingkan penerimaan penggunaan Learning Management System (LMS), Google Classroom dan D2L Brightspace, dalam model pembelajaran blended sebagai bahan pertimbangan bagi institusi pendidikan tinggi untuk memilih LMS mana yang baik untuk diimplementasikan [10]. Penelitian ini menggunakan metode gabungan kuantitatif dan kualitatif dengan total responden sejumlah 54 mahasiswa dari empat kelas.…”

Section: Pendahuluanunclassified

“…TAM digunakan dengan memanfaatkan 4 faktor, yaitu persepsi kegunaan, persepsi kemudahan penggunaan, sikap terhadap penggunaan, dan niat perilaku untuk menggunakan sistem tersebut. Hasil akhir dari penelitian ini menunjukkan secara umum LMS Brightspace lebih direkomendasikan berdasarkan produktivitas tools-nya, sikap terhadap penggunaan dan kegunaan [10].…”

Section: Pendahuluanunclassified

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Analisis Sistem Informasi Pendaftaran Online Mahasiswa Baru di Universitas XYZ Menggunakan Technology Acceptance Model

Tuhuteru

Arlooy

Imasuly

2021

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Pandemi Covid-19 yang terjadi bersamaan dengan proses penerimaan mahasiswa baru membuat Universitas XYZ mengembangkan sistem informasi pendaftaran online untuk melayani proses tersebut pada tahun akademik 2020/2021 karena pembatasan sosial berskala besar. Tujuan penelitian ini untuk mengevaluasi tingkat penggunaan dan penerimaan pengguna terhadap sistem tersebut sehingga dapat memberikan rekomendasi dalam pemeliharaan sistem. Pengkajian dilakukan dengan menggunakan konstruk Technology Acceptance Model (TAM), yaitu Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Towards Using (ATU), Behavior Intention to Use (BIU), dan Actual Technology Use (ATU). Konstruk TAM dianalisis dengan metode Partial Least Squares-Structural Equation Modeling (PLS-SEM). Hasil pengujian membuktikan ada pengaruh positif dan signifikan antara PU terhadap ATG dengan nilai 2,398, PEU terhadap PU dengan nilai 12,539, PEU terhadap ATG dengan nilai 8,609, ATG terhadap BIU dengan nilai 5,902, serta BIU terhadap ATU dengan nilai t statistik 28,806. Sedangkan hubungan antara PU terhadap BIU tidak memiliki relasi yang signifikan karena nilai t-statistiknya kurang dari t-tabel, yaitu 1,912. Berdasarkan hasil penelitian, dapat disimpulkan bahwa kemudahan menggunakan sistem memiliki pengaruh yang kuat terhadap sikap pengguna. Sementara sikap pengguna mempengaruhi niat perilaku, dan niat perilaku pengguna mempengaruhi penggunaan teknologi secara aktual. Sehingga untuk pemeliharaan sistem, harus diperhatikan dari sisi kemudahan dalam penggunaan sistem.

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Comparing Google Classroom and D2L Brightspace Using the Technology Acceptance Model

Cited by 30 publications

References 18 publications

Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria

Exploring the Factors Affecting Behavioural Intention to Use Google Classroom: University Teachers’ Perspectives in Bangladesh and Nigeria

Effect of Google Classroom on Academic Achievement of Undergraduate Students in Computer Database Management System in Universities in South East Nigeria

Analisis Sistem Informasi Pendaftaran Online Mahasiswa Baru di Universitas XYZ Menggunakan Technology Acceptance Model

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