ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

Md. Al Amin; Md. Hossain Alı; Md. Mahedi Hasan

Makale detayları

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

Yazarlar:

Md. Al Amin | Md. Hossain Alı | Md. Mahedi Hasan

Yayıncı:

Anadolu University

Ana Başlıklar:

Lifelong learning

Dergi:

Turkish Online Journal of Distance Education Vol.25 Issue 1, pp.118-135

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001306921

pISSN:

1302-6488

Anahtar kelimeler:

Özet:

 COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis CFA to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling SEM. It was divulged that e-Learning usage intention BI is influenced by attitude ATT, perceived usefulness PU, students online learning satisfaction SOS and subjective norms SN. But perceived ease of use PEU and system quality SQ, internet service quality ISQ and perceived behavioral control PBC do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

 COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis CFA to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling SEM. It was divulged that e-Learning usage intention BI is influenced by attitude ATT, perceived usefulness PU, students online learning satisfaction SOS and subjective norms SN. But perceived ease of use PEU and system quality SQ, internet service quality ISQ and perceived behavioral control PBC do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

 COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis CFA to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling SEM. It was divulged that e-Learning usage intention BI is influenced by attitude ATT, perceived usefulness PU, students online learning satisfaction SOS and subjective norms SN. But perceived ease of use PEU and system quality SQ, internet service quality ISQ and perceived behavioral control PBC do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

 COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis CFA to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling SEM. It was divulged that e-Learning usage intention BI is influenced by attitude ATT, perceived usefulness PU, students online learning satisfaction SOS and subjective norms SN. But perceived ease of use PEU and system quality SQ, internet service quality ISQ and perceived behavioral control PBC do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

Makale detayları

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

Yazarlar:

Md. Al Amin | Md. Hossain Alı | Md. Mahedi Hasan

Yayıncı:

Anadolu University

Ana Başlıklar:

Lifelong learning

Dergi:

Turkish Online Journal of Distance Education Vol.25 Issue 1, pp.118-135

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001306921

pISSN:

1302-6488

Bangladesh

underprivileged undergraduate students

intention for e-learning

Sayı

Makale detayları

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

Yazarlar: Md. Al Amin | Md. Hossain Alı | Md. Mahedi Hasan

Yayıncı: Anadolu University

Ana Başlıklar: Lifelong learning

Dergi: Turkish Online Journal of Distance Education Vol.25 Issue 1, pp.118-135

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001306921

pISSN: 1302-6488

Bangladesh

underprivileged undergraduate students

intention for e-learning

Sayı

Yazarlar:

Md. Al Amin | Md. Hossain Alı | Md. Mahedi Hasan

Yayıncı:

Anadolu University

Ana Başlıklar:

Lifelong learning

Dergi:

Turkish Online Journal of Distance Education Vol.25 Issue 1, pp.118-135

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001306921

pISSN:

1302-6488