Volume 20, Issue 2 (9-2022)
sjsph 2022, 20(2): 223-242 |
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Mohamadi L, Rastgoo A, Nakhostin A, Mirzaee N, Mazbouhi S. Identifying the Components of Electronic Teaching and Learning in the Workplace. sjsph 2022; 20 (2) :223-242
URL: http://sjsph.tums.ac.ir/article-1-6141-en.html
URL: http://sjsph.tums.ac.ir/article-1-6141-en.html
1- Ph.D. Student, Department of Educational, Ardebil Branch, Islamic Azad University, Zanjan, Iran
2- Ph.D. Assistant Professor, Department of Education Sciences, Ardebil Brance, Islamic Azad University, Ardebil, Iran ,rastgoo20@yahoo.com
3- Ph.D. Assistant Professor, Department of Education Sciences, Ardebil Brance, Islamic Azad University, Ardebil, Iran
4- Ph.D. Assistant Professor, Department of Education Sciences, Zanjan Brance, Islamic Azad University, Zanjan, Iran
5- Ph.D. Assistant Professor, Department of Education Allameh Tabatabai University, Tehran, Iran
2- Ph.D. Assistant Professor, Department of Education Sciences, Ardebil Brance, Islamic Azad University, Ardebil, Iran ,
3- Ph.D. Assistant Professor, Department of Education Sciences, Ardebil Brance, Islamic Azad University, Ardebil, Iran
4- Ph.D. Assistant Professor, Department of Education Sciences, Zanjan Brance, Islamic Azad University, Zanjan, Iran
5- Ph.D. Assistant Professor, Department of Education Allameh Tabatabai University, Tehran, Iran
Abstract: (935 Views)
Background and Aim: The objective of this research was to identify the components of electronic foundation data theory teaching and learning in the workplace.
Materials and Methods: This research was conducted using qualitative content analysis with a conventional content analysis approach. The statistical population was comprised of two groups: 1.Three sources of information (a sample of 26 out of 317 textbooks, scientific articles and theses/dissertations) selected by judgment sampling; 2. Relevant specialists and experts (a sample of 22) selected according to the theoretical saturation technic. The methods and tools used to collect data and information included archival surveys and field studies (interviews and questionnaires).
Results: For the primary coding, 644 categories were identified and converted into 45 secondary categories based on common conceptual aspects, which were finally became nine (9) main themes in the axial coding phase; these themes were used to build the thematic network.
Conclusion: The research model shows that the following nine categories are involved in electronic teaching and learning in the workplace: 1). organization and management; 2). information and contents; 3). interaction and communication; 4). characteristics of the person who teaches; 5). effectiveness; 6). technical quality; 7). learning objectives; 8). learning requirements, and 9). electronic education dimensions.
Materials and Methods: This research was conducted using qualitative content analysis with a conventional content analysis approach. The statistical population was comprised of two groups: 1.Three sources of information (a sample of 26 out of 317 textbooks, scientific articles and theses/dissertations) selected by judgment sampling; 2. Relevant specialists and experts (a sample of 22) selected according to the theoretical saturation technic. The methods and tools used to collect data and information included archival surveys and field studies (interviews and questionnaires).
Results: For the primary coding, 644 categories were identified and converted into 45 secondary categories based on common conceptual aspects, which were finally became nine (9) main themes in the axial coding phase; these themes were used to build the thematic network.
Conclusion: The research model shows that the following nine categories are involved in electronic teaching and learning in the workplace: 1). organization and management; 2). information and contents; 3). interaction and communication; 4). characteristics of the person who teaches; 5). effectiveness; 6). technical quality; 7). learning objectives; 8). learning requirements, and 9). electronic education dimensions.
Type of Study: Research |
Subject:
Public Health
Received: 2023/01/9 | Accepted: 2022/09/22 | Published: 2022/09/22
Received: 2023/01/9 | Accepted: 2022/09/22 | Published: 2022/09/22
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