Modern E-technologies and Academic Staff Job Productivity in Nigerian Colleges of Education
Bibliographic Data
| ID | 21872255 |
|---|---|
| Authors | Cletus Akpo Atah (0000-0002-5683-4923, University of Calabar), I M Idike (Ebonyi State University), Rosemary Young Godwin (Akwa Ibom State University), Kolo Isaac (University of Calabar), Donatus Ugbadu Ititim (University of Cross River State), Ogbiji Michael Okpe (University of Calabar), Ochui Moses Orim |
| Year | 2023 |
| Volume | 14 |
| Issue | 4 |
| Pages | 51 |
| Publication date | 2023-07-05 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Mediterranean Journal of Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2039-2117 • E-ISSN: 2039-9340 |
| Publisher | Richtmann Publishing (PUBLISHER) |
| DOI | 10.36941/mjss-2023-0024 |
| OpenAlex | W4383314968 |
| Language | EN |
| Citations received | 1 |
| References cited | 1 |
The purpose of this study was to ascertain the influence modern e-technologies on academic staff productivity in Nigerian colleges of education. To achieve the study's goal, one research question was posed, and one hypothesis was developed to direct the investigation. The study utilized a survey-based design. The study's population consists of eighty-one (81) business education academic staff members, who were all participating in the research due to the population's manageable size. For data collection, an 11-item questionnaire titled "Modern E-Technologies and Academic Staff Job Productivity Questionnaire" (METASJPQ) was used. Two (2) experts validated the instrument. Cronbach's alpha reliability coefficient was 0.88 overall. To answer the research questions, the collected data were analyzed using the mean (X), standard deviation (SD), and sample percentage. An independent t-test was used to test the null hypothesis at the 0.05 level of significance. Data analysis revealed that modern e-technologies influence the productivity of academic staff in Nigerian colleges of education. In accordance with the study's findings, it was recommended, among other things, that academic staff occasionally engage students in collaborative learning via various modern e-technology platforms. Received: 18 May 2023 / Accepted: 29 June 2023 / Published: 5 July 2023
Cronbach's alpha · Data collection · Economic growth · Economics · Medical education · Null hypothesis · Population · Productivity · Sample size determination · Social science · Sociology · Statistics · AI and HR Technologies · Big Data and Business Intelligence · Mathematics · Medicine · Online and Blended Learning · Psychology
| Unique citing works | 1 |
|---|---|
| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 1 |