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All Journal Journal of Advanced Research in Social Sciences and Humanities
TAHIRU ZANNA
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Humanities Education Languange, Linguistic, Communication & Media Physics Social Sciences

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Technical and vocational education teachers computer competencies using artificial intelligence IDRIS ADAMU; SEZER KANBUL; ADAMU GAMBO; TAHIRU ZANNA
Journal of Advanced Research in Social Sciences and Humanities Volume 5, Issue 6, December 2020
Publisher : Journal of Advanced Research in Social Sciences and Humanities

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26500/JARSSH-05-2020-0604

Abstract

Aim: This article investigates the knowledge and skills required by teachers of Technical and Vocational Education (TVE) to effectively implement computers and related technologies in the classroom.Method: The survey used a structured questionnaire with 44 items about the participant’s knowledge, opinions, and feelings regarding computer operation. TVE instructors at six different northern Nigerian tertiary technical institutions were each given one of sixty questionnaires to administer to their teachers (Bauchi and Gombe). Multilinear Regression (MLR) and Artificial Intelligence (AI) techniques, such as Artificial Neural Networks (ANN) and an Adaptive Neuro-fuzzy Inference System (ANFIS), were used to analyze the data (ANFIS). While the ANN and ANFIS models were developed using MATLAB 9.3 (R2019a), the classical linear MLR model was created in SPSS.Findings: The results show that teachers in technical and vocational fields are highly proficient in using digital tools, with a strong relationship between competence and teaching experience and a weaker relationship between competence and gender.Implications/Novel Contribution: This will help scholars, administrators, and teachers in Nigeria, as well as the Nigerian Ministry of Education
Teachers emotional intelligence to predictive work performance using linear and non-linear models IDRIS A; SEZER K; TAHIRU ZANNA; HASSAN SALEH; ADAMU GAMBO
Journal of Advanced Research in Social Sciences and Humanities Volume 6, Issue 2, June 2021
Publisher : Journal of Advanced Research in Social Sciences and Humanities

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26500/JARSSH-06-2021-0201

Abstract

Aim: Changes and reforms in educational systems worldwide have affected teachers’ effectiveness in the classroom. However, despite these developments, evaluating and understanding how to predict a teacher’s success is still difficult. In this study, which addresses a gap in the literature, the importance of emotional intelligence to teachers’ professional success is explored. This study investigates the link between Emotional Intelligence (EI) and professional success along its four facets: emotional regulation, emotional awareness, emotional motivation, and social ability (relationship management). Methodology: A total of 160 teachers from six different technical universities in Northeastern Nigeria were surveyed. Questionnaires were used to collect the data, then analyzed with an AI model (FFNN, LSSVM, NF, and MLR). Findings: The models were assessed using the determination coefficient (R2), root means square error (RMSE), and correlation coefficient (R). The result obtained from the simple models showed that Neuro-Fuzzy Sub Clustering Hybrid (NF-SCH) shows both training and testing, the correctness of models has been improved, which increases the accuracy of the single models up to 17%, 18%, and 20% FFNN, MLR and LSSVM for calibration and up to 40%, 73% and 70% FFNN, MLR and LSSVM for verification respectively the results show a strong connection between emotional intelligence and work satisfaction. Implications/Novel Contribution: Ultimately, this research contributes to the literature on emotional intelligence and has real-world implications for management in education administration in the Nigerian higher education system.
Co-Authors ADAMU GAMBO HASSAN SALEH IDRIS A IDRIS ADAMU SEZER K SEZER KANBUL