College Learning From Classrooms to the Internet
Adoption of the YouTube as Supplementary Tool in Covid-19 Pandemic Environment
Bibliographic Data
| ID | 9729485 |
|---|---|
| Authors | Dawei Liu (0000-0002-6995-3606, Hangzhou Dianzi University, Zhejiang, P.R. China, corresponding author), Jinlin Luo (Hangzhou Dianzi University, Zhejiang, P.R. China) |
| Year | 2022 |
| Volume | 54 |
| Issue | 7 |
| Pages | 848-870 |
| Publication date | 2022-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education and Urban Society (JOURNAL) |
| Journal identifiers | ISSN: 0013-1245 • E-ISSN: 1552-3535 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00131245211062516 |
| OpenAlex | W4200034926 |
| Language | EN |
| Citations received | 5 |
| References cited | 53 |
To prevent the further spread of COVID-19, many teachings were transferred to the Internet. This study unearths the motivations to participate in YouTube as a supplementary learning resource among college students to fight COVID-19. Using an integration and development of TAM and TTF model with 302 registered YouTube students completed an online survey that helped understanding user behavior. Employing a structural equation model on the sample indicated that behavioral intention was significantly influenced by perceived ease of use, perceived usefulness, user satisfaction, and YouTube self-efficacy. However, task technology fit and content richness were not significantly predictive of behavioral intention. Moreover, perceived ease of use and YouTube self-efficacy also was not significantly predictive perceived usefulness. The implications of integrating and development of TAM and TTF with content richness and YouTube self-efficacy model are discussed
Coronavirus disease 2019 (COVID-19 · Pandemic · Sample (material · Self-efficacy · Structural equation modeling · Technology Acceptance Model · The Internet · Usability · World Wide Web · Applied Psychology · Computer Science · Digital Marketing and Social Media · Impact of Technology on Adolescents · Medicine · Psychology · Social Psychology · Technology Adoption and User Behaviour
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| Unique citing works | 5 |
|---|---|
| Citations per year | 1,67 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 5 |