TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION
The integration of artificial intelligence (AI) in academic research has transformed knowledge production, yet its adoption among social sciences lecturers in colleges of education remains underexplored. While existing studies on AI usability in academia predominantly focus on science and technolog...
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| Language: | English |
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Federal University Wukari
2025-04-01
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| Series: | International Studies Journal |
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| Online Access: | https://wissjournals.com.ng/index.php/wiss/article/view/597 |
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| author | OLUWASEUN OYEWOLE JATAU SEIKHAN NATHAN |
| author_facet | OLUWASEUN OYEWOLE JATAU SEIKHAN NATHAN |
| author_sort | OLUWASEUN OYEWOLE |
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The integration of artificial intelligence (AI) in academic research has transformed knowledge production, yet its adoption among social sciences lecturers in colleges of education remains underexplored. While existing studies on AI usability in academia predominantly focus on science and technology disciplines, limited attention has been given to social sciences educators, who play a crucial role in shaping pedagogical and policy frameworks. Moreover, prior research has examined technological self-efficacy and access to online research databases as independent factors influencing digital engagement, but few studies have investigated their combined impact on AI usability for research. This study bridges these gaps by analysing how technological self-efficacy and access to online research databases jointly predict AI usability among social sciences lecturers in colleges of education in Oyo State, Nigeria. Using a correlational research design, data were collected from 110 lecturers through a structured questionnaire. Pearson Product Moment Correlation and multiple regression analyses revealed that both technological self-efficacy and access to online research databases significantly influence AI usability, jointly explaining 65% of its variance. The study provides empirical evidence that institutional access to digital resources moderates the effect of individual technological self-efficacy on AI adoption in research. Unlike previous studies that primarily focused on digital literacy training, this study highlights the necessity of addressing infrastructural constraints alongside individual competency development. The findings offer valuable insights for policymakers and institutional administrators seeking to enhance AI adoption in research, ensuring equitable access to digital resources, and fostering a technologically competent academic workforce.
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| format | Article |
| id | doaj-art-2f97f12ea6dc4b4b81ce6e63fb1bd652 |
| institution | OA Journals |
| issn | 2756-4649 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Federal University Wukari |
| record_format | Article |
| series | International Studies Journal |
| spelling | doaj-art-2f97f12ea6dc4b4b81ce6e63fb1bd6522025-08-20T01:53:10ZengFederal University WukariInternational Studies Journal2756-46492025-04-0191TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATIONOLUWASEUN OYEWOLE0JATAU SEIKHAN NATHAN 1SOCIAL STUDIES DEPARTMENT, SIKIRU ADETONA COLLEGE OF EDUCATION, SCIENCE AND TECHNOLOGY, OMU-AJOSE, OGUN STATEDEPARTMENT OF SOCIAL STUDIES, COLLEGE OF EDUCATION ZING, TARABA STATE The integration of artificial intelligence (AI) in academic research has transformed knowledge production, yet its adoption among social sciences lecturers in colleges of education remains underexplored. While existing studies on AI usability in academia predominantly focus on science and technology disciplines, limited attention has been given to social sciences educators, who play a crucial role in shaping pedagogical and policy frameworks. Moreover, prior research has examined technological self-efficacy and access to online research databases as independent factors influencing digital engagement, but few studies have investigated their combined impact on AI usability for research. This study bridges these gaps by analysing how technological self-efficacy and access to online research databases jointly predict AI usability among social sciences lecturers in colleges of education in Oyo State, Nigeria. Using a correlational research design, data were collected from 110 lecturers through a structured questionnaire. Pearson Product Moment Correlation and multiple regression analyses revealed that both technological self-efficacy and access to online research databases significantly influence AI usability, jointly explaining 65% of its variance. The study provides empirical evidence that institutional access to digital resources moderates the effect of individual technological self-efficacy on AI adoption in research. Unlike previous studies that primarily focused on digital literacy training, this study highlights the necessity of addressing infrastructural constraints alongside individual competency development. The findings offer valuable insights for policymakers and institutional administrators seeking to enhance AI adoption in research, ensuring equitable access to digital resources, and fostering a technologically competent academic workforce. https://wissjournals.com.ng/index.php/wiss/article/view/597Artificial IntelligenceTechnological Self-EfficacyOnline Research DatabasesAI UsabilitySocial Sciences LecturersColleges of Education |
| spellingShingle | OLUWASEUN OYEWOLE JATAU SEIKHAN NATHAN TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION International Studies Journal Artificial Intelligence Technological Self-Efficacy Online Research Databases AI Usability Social Sciences Lecturers Colleges of Education |
| title | TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION |
| title_full | TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION |
| title_fullStr | TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION |
| title_full_unstemmed | TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION |
| title_short | TECHNOLOGICAL SELF-EFFICACY AND ONLINE DATABASE ACCESS AS PREDICTORS OF AI USABILITY FOR RESEARCH AMONG SOCIAL SCIENCES LECTURERS IN OYO STATE COLLEGES OF EDUCATION |
| title_sort | technological self efficacy and online database access as predictors of ai usability for research among social sciences lecturers in oyo state colleges of education |
| topic | Artificial Intelligence Technological Self-Efficacy Online Research Databases AI Usability Social Sciences Lecturers Colleges of Education |
| url | https://wissjournals.com.ng/index.php/wiss/article/view/597 |
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