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                <text>Incident causal factors and the reasons for conducting investigations: a study of five ghanaian large-scale mines</text>
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                <text>Background&#13;
This research sought to understand the perspective of mineworkers regarding incident investigations, with the objective of identifying incident investigations improvement opportunities. First, through interviews, the research sought to identify the causal factors considered during investigations and the reasons for conducting investigations in the Ghanaian mining industry. Secondly, through questionnaire surveys, the study focused on understanding the extent to which a large sample of mineworkers considered the identified causal factors and investigation reasons relevant and applicable in their mine.&#13;
Method&#13;
Data were collected from 41 participants through interviews and 659 respondents through surveys, and the data were analyzed through thematic, content, and statistical analyses, including descriptive statistics, one-way ANOVA, and correlation analysis.&#13;
Result&#13;
The interviews led to the identification of five and nine categories of incident causal factors and reasons for investigating incidents, respectively. The results suggested a focus on workers’ unsafe acts as the main incident causal factor and identifying the person who caused the incident as one of the major reasons for investigating incidents, as these two factors where the modal choice from both the interviews and survey across all five mines. The results further showed that concerning the accident causal factors and the reasons for investigating incidents, no significant difference was observed between the perspectives of mineworkers involved in investigations and mineworkers with no investigation responsibilities.&#13;
Conclusion&#13;
It can be concluded from the results that talking …</text>
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                <text>This study evaluates AI ’s effectiveness in boosting real-time decision-making and supply chain agility in West African ports. Utilizing Structural Equation Modeling ( SEM ), data from 250 supply chain experts across several countries, including Ghana and Nigeria, were analyzed. Results indicate significant enhancements in supply chain agility, particularly through improved data processing speed, system integration, prediction accuracy, and user interface quality, with the latter having the most substantial impact. The study underscores the importance of user-friendly AI systems, supported by Dynamic Capabilities Theory, which facilitates organizational adaptability to market changes. Recommendations focus on developing AI systems with robust user interfaces and ensuring seamless integration with existing IT infrastructures. This …</text>
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                <text>In an attempt to incorporate human factors into technical failures as accident causal factors, researchers have promoted the concept of human factor analysis. Human factor analysis models seek to identify latent conditions within the system that influence the operator’s action to trigger an accident. For an effective application of human factor analysis models, a domain-specific model is recommended. Most existing models are developed with category/subcategory peculiar to a particular domain. This presents challenges and hinders effective application outside the domain developed for. This paper sought to propose a human factor analysis framework for Ghana’s mining industry. A comparative study was carried out between three dominated accident causation models and investigation methods in literature; AcciMap, HFACS, and STAMP. The comparative assessment showed that HFACS is suitable for incident data analysis based on the following reason; ease of learning and use, suitability for multiple incident analysis and statistical quantification of trends and patterns, and high inter and intra-coder reliability. A thorough study was done on HFACS and its derivative. Based on recommendations and research findings on HFACS from literature, Human Factor Analysis, and Classification System–Ghana Mining Industry (HFACS-GMI) was proposed. The HFACS-GMI has 4 tiers, namely; External influence/factor, Organisational factor, Local Workplace/Individual Condition and, Unsafe Act. A partial list of causal factors under each tier was generated to serve as a guide during incident coding and investigation. The HFACS-GMI consists of 18 …</text>
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                <text>Theophilus Joe-Asare, Eric Stemn, Newton Amegbey</text>
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                <text>Analysing accidents reveals trends, patterns, and causes to focus on when developing accident countermeasures. This study aimed to analyse the causal and contributory factors of accidents within Ghanaian gold mines. 701 accident investigation reports were collected from 7 large-scale mine sites. The reports were classified and coded using the human factor analysis and classification system adopted for the Ghana mining industry to identify the causes of accidents, taking into account the severity levels of the accidents. Unlike previous studies that focused mostly on high-consequence accidents, this study considered accidents of different severities to determine if associations exist between the severity levels and the causal factors. The results revealed that the majority of the causes of accidents were at the workplace/operator conditions tier. Specifically, leadership flaws were associated with accidents of high …</text>
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                <text>Half a Decade of Artificial Intelligence in Education in Africa: Trends, Opportunities, Challenges and Future Directions</text>
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                <text>Artificial Intelligence (AI) is reshaping numerous sectors, including education. This study delves into AI in education (AIEd) within Africa, analyzing its trends, opportunities, challenges, and prospective paths. Employing the PRISMA framework, we systematically reviewed 22 articles published from 2017 to 2022. Our findings underscore the pivotal role of AIEd in Africa\'s educational landscape, highlighting the shift towards adaptive testing, particularly computer-adaptive testing (CAT), and its advantages, like precise student assessments and reduced test durations. The study also explores strategies to enhance graduate employability, emphasizing university-industry collaborations, curriculum updates, and quality assurance. Furthermore, it examines the implications of the Fourth Industrial Revolution (4IR) in education, advocating for integrating emerging technologies and adapting educational content and practices …</text>
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                <text>Artisanal and small-scale mining (ASM), which is rapidly increasing and widely practised across sub-Saharan Africa, is a significant source of livelihood for many people in the communities where they are practised. Apart from ASM presenting some economic benefits, it also poses some challenges to those who engaged in them, notably the health and safety of miners, considering that ASM is inherently risky. The study sought to examine publicly available ASM accidents/fatality reports to identify areas warranting further investigations to ensure the sector's sustainability. A total of 22 media reports of ASM accidents were collected for analysis following some selection criteria. Thirty-six accidents resulting in 622 fatalities were identified from the collected records. Of the 36 accidents, five resulted in single fatalities, with the remaining 32 resulting in multiple fatalities, indicating the high consequence nature of ASM …</text>
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                <text>Institutional perspective of drivers influencing the adoption of blended learning in higher education: The case of Ghana Technology University College</text>
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                <text>Ahmed Antwi-Boampong</text>
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                <text>Higher education institutions are embracing blended learning (BL) as the new paradigm for their teaching and learning delivery. Research into the forces or drivers informing higher education institutions (HEIs) into adopting this new teaching and learning delivery innovation remains largely under research. This paper therefore investigates the forces or drivers influencing HEIs into adopting BL. The researcher applies a grounded theory methodology by interviewing fifteen management members from the Ghana Technology University College (GTUC). The data was analysed using the constant comparative method and the findings discussed through the lenses of Rogers theory of innovation diffusion which is widely used to interpret how technologies are diffused from a limited to a widespread application on organizational practices. The outcome of this empirical research provides a set of drivers influencing the …</text>
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                <text>Testing and Validating a Faculty Blended Learning Adoption Model</text>
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                <text>Ahmed Antwi-Boampong</text>
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                <text>Faculty members are crucial to Blended Learning’s success in higher education. Despite substantial research into the elements that drive faculty adoption of BL, few have developed a model to explain how these factors combine and influence faculty intentions to teach in this mode. This study used data collected from 207 professors from 18 universities across Africa, the United States, Europe, and the Middle East to test and validate a Faculty Blended Learning Adoption Model which was derived from a Grounded Theory study. Four model constructs (institutional hygiene readiness, student BL disposition, faculty technology ready, and Pedagogy Technology Fit for BL) mediated by motivation were tested to predict faculty Blended Learning adoption using structural equation modeling. The results demonstrated an excellent model fit, with three of the six hypotheses in this study being supported. Faculty desire to utilize BL was found to be influenced by faculty technology readiness and task technology fit for BL, but not by institutional hygiene readiness or student BL disposition. This research presents a useful model for university administrators to use in their BL implementations. A thorough understanding of this model can assist decision-makers in identifying the factors that influence future faculty acceptance or resistance to blended learning, as well as helping them in enhancing acceptance and usage.</text>
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                <text>Assessing Factors Influencing the Adoption of Technology in the Port Supply Chain Industry in the West African Sub-Region: a Case Study of Integrated Customs System in Ghana.</text>
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                <text>Ahmed Antwi-Boampong, David King Boison, Josephine Agbedoawu, Musah Osumanu Doumbia, Augustine Blay</text>
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                <text>The study investigated factors influencing the adoption of technology in the port supply chain industry in the West African Sub-region, using the Ghana Customs Integrated System (GCIS) as a case study. This non-experimental quantitative study leveraged the extended unified theory of the acceptance and use of technology (UTAUT2) as the theoretical foundation to assess whether performance expectancy (PE), behavioral intent (BI), effort expectancy (EE), social influence (SI), facilitating conditions (FC), hedonic motivation (HM), price value (PV), and habit (HT) were predictors of the intention of port users to participate in a GCIS in the port sector while moderated by age. The sample comprises 906 individuals who live in Ghana and work in the formal sector of the port industry. SurveyMonkey platform sent a solicitation email to individuals who met the inclusion criteria with a link that allowed consenting participants to complete a questionnaire of 32 questions. The study used principal component analysis (PCA) and confirmatory factor analysis (structural equation modeling) to analyze and report data. Findings show that only performance expectancy, effort expectancy, and habit influenced the behavioral intention of port users to participate in the integrated customs management system in the Ghanaian port sector. Facilitating conditions, social influence, hedonic motivation, and price value did not affect behavioral intention. Neither did age have a moderating effect on any variable’s influence on behavioral intention. This study offers a deeper insight into the adoption of BYOD in the Ghanaian workplace. The findings can help researchers explain the …</text>
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                <text>Students’ learning experience within a blended learning environment in a higher education institution in Ghana</text>
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                <text>Emmanuel Freeman, Ahmed Antwi-Boampong, Odeneho Baffoe-Kodom Agyemang</text>
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                <text>Advances in information, communication, technology (ICT) particularly the internet is driving universities worldwide into integrating technology into teaching and learning in the classrooms. Ready access to multimedia learning platforms are encouraging faculty members to move away from traditional print-based and face-to-face teaching approach into adopting blended learning. However, insufficient learner satisfaction has been noted as an obstacle in most universities. In view of this, this paper assesses the learning experience of students within a blended learning environment in a Higher Education Institution (HEIs) in Ghana Technology University College (GTUC). The driving force for this study is to enhance students’ learning experience with the use of technology within a blended learning environment. The Learning Management System (LMS) adapted to engage students within the blended learning environment is Moodle. The study employed both qualitative and quantitative methods to measure the students’ learning experience. A total of 244 respondents from three different faculties and levels offering bachelors and master’s degree were used. The study employed simple descriptive analysis and thematic analysis to measure the student's learning experience within the blended learning environment. The impression from the findings indicates that the online learning engagements enhanced the face-to-face teaching and learning and also increased retention and performance among the students. It was however noted that poor internet connectivity, reluctant of some lecturers, lack of orientation affected the effective implementation of the …</text>
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