by Admin | Oct 17, 2025
This position paper reveals changing patterns of news credibility and audience engagement fuelled by the increase of artificial intelligence (AI) in the media ecosystem. The study highlights the declining popularity of traditional media; the television, radio and even newspaper, in favour of user-centric digital alternatives, as well as the growing wave of trust or confidence in traditional media channels. The findings reveal that the resurgence in trust is attributed to the increase of misinformation produced by AI and people’s uncertainty regarding the content posted on social, alternative media and other digital media outlets. The paper argues that amid re-emerging trust, traditional media must adapt in order to secure its place as the most reliable information and news source in a media landscape increasingly fragmented by digital platforms and AI-generated misinformation. In conclusion, the paper submits that the re-emergence of trust in traditional media is not mere nostalgia, nor is it sustenance automatic, therefore, stakeholders in traditional media must maximise this momentum and reposition the sector as the core source for fact-checking and verifying news from unregulated sources and social platforms by balancing innovative technology with a collective commitment to integrity, transparent practices, and public engagement
by Admin | Oct 17, 2025
This study investigates the effects of counselling therapy on the career choices and career decision-making self-efficacy of secondary school students in Bauchi State, Nigeria. It examines how structured career counselling interventions influence students’ confidence in their ability to make informed career decisions and the clarity of their career aspirations. Employing a quasi-experimental pre-test/post-test research design, the study involved 264 senior secondary school students. Data were collected using the Career Decision-Making Self-Efficacy Scale (CDMSE) and a structured questionnaire on career choices. The data were analyzed using descriptive statistics (mean and standard deviation) and inferential statistics (paired-sample t-tests). The findings reveal a statistically significant increase in students’ career decision-making self-efficacy and greater clarity in their career choices following the counselling intervention. The mean self-efficacy score improved significantly from pre-test to post-test, and the percentage of students with definitive career goals increased. These results underscore the critical role of counselling therapy in enhancing students’ career self-efficacy and decision-making capabilities. The study recommends the formal integration of evidence-based career counselling programs into the secondary school curriculum and continuous professional development for school counsellors.
by Admin | Oct 17, 2025
University electronic learning (e-learning) has witnessed phenomenal growth, especially in 2020, due to the COVID-19 pandemic. This type of education is significant because it ensures that all students receive the required learning. The statistical evaluations are limited in providing good predictions of the university’s e-learning quality. That is forcing many universities to go to online and blended learning environments. This paper presents an approach of statistical analysis to identify the most common factors that affect the students’ performance and then use artificial neural networks (ANNs) to predict students’ performance within the blended learning environment of Saudi Electronic University (SEU). Accordingly, this study generated a dataset from SEU’s Blackboard learning management system. The proposed model’s performance was evaluated through different statistical tests, such as error functions, statistical hypothesis tests, and ANOVA tests. The student’s performance can be tested using a set of factors: the studying (face-to-face or virtual), percentage of attending live lectures, midterm exam scores, and percentage of solved assessments. The results showed that the four factors are responsible for academic performance. After that, we proposed a new ANN model to predict the students’ performance depending on the four factors. Firefly Algorithm (FFA) was used for training the ANNs.
by Admin | Oct 8, 2025
This study investigated the influence of AutoCAD on students’ motivation and achievement in Technical Drawing in Plateau State, Nigeria. This study aimed to fill that gap by exploring awareness levels, types, frequency, and utilization of AutoCAD among teachers and students, and how these factors relate to student motivation and academic achievement in Technical Drawing. The study adopted a descriptive survey design with a sample of 242 respondents, comprising both teachers and students, selected through stratified random sampling to ensure representation across schools. Data were collected using a self-constructed questionnaire titled Students’ Perception of AutoCAD Questionnaire (SPAQ). Descriptive and inferential statistical tools were used to analyze the data and test four hypotheses at the 0.05 level of significance. The findings showed that over 75% of teachers and students were aware of AutoCAD and recognized its relevance in enhancing motivation and achievement in Technical Drawing. The study further found that frequent use of AutoCAD correlated positively with increased student motivation and improved academic performance. Various versions and applications of AutoCAD were found to influence engagement, especially when integrated into hands-on teaching and project-based learning. Based on these findings, the study recommends that professional development programs prioritize practical training in AutoCAD for Technical Drawing teachers. Integrating AutoCAD into the curriculum with consistent access to digital resources is also crucial for optimizing student outcomes.
by Admin | Oct 3, 2025
The process of energy transition in Nigeria cannot be thought of without a land use dynamic, resource regulation and socio-ecological resilience. The geographical positioning of energy infrastructure has not seen too much progress, despite the policy discussions pertaining to the technology and funding related to it. This paper shows that there are regulatory measures that can support the not-for-profit organisations for development. It argues that there is a need for considering the regulatory measure to help improve not-for-profit organisations. The analysis establishes SEETF that integrates GIS, EIA and nature-based solutions (NbS) in order to lessen spatial-economic institutional fragmentation, the ecological vulnerability and community engagement. Drawing on peer reviewed literature, government reports and interviews with key informants, the research seeks to find the existing gaps in multi-level governance, spatial information sharing, and participatory planning that already act as barriers to equitable energy transitions. Due to lack of spatial coordination it has been found that renewable energy projects are generally located in ecologically sensitive or important areas that leads to land use conflict and biodiversity loss. In its latest report, the SEETF suggested transforming the current zoning system into one that combines renewable energy sources with ecological risks maps. Integrated EIA restructuring processes, participative forums with the local stakeholders and NbS harmonization of the siting decision-making process are requested. A resilient framework which would make Nigeria’s climate resilient enabling distributive justice of energy access to assure Nigerian’s net zero goal. Essentially, it offers the policy pathway model of sub-Saharan Africa into which sustainable energy planning land management can be integrated to ensure that decarbonization does not come at the expense of livelihoods, equity and ecosystem integrity.
