Computer Adaptive-Based Learning and Assessment for Enhancing STEM Education in Africa: A Fourth Industrial Revolution Possibility

Oladele, Jumoke I.; Ndlovu, Mdutshekelwa; Ayanwale, Musa Adekunle

doi:10.1007/978-3-031-13927-7_8

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…4IR is powered by various advances in mathematics and its applications in engineering, artificial intelligence (AI), data science, and other emerging fields using developments in computer science technologies [26,27]. Unlike the previous industrial revolution, 4IR is characterized by the convergence of data, intellectual discoveries, and technological advances rather than material discoveries [28].…”

Section: Fourth Industrial Revolution and Associated Technologiesmentioning

confidence: 99%

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Kobara,

Akpan

2023

Systems

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Virtual manufacturing (VM) technology emerged in the 1980s as a revolutionary strategy to optimize and streamline the entire product/service manufacturing lifecycle. However, over the years, its popularity appears to have waned. Further, the advent of the fourth industrial revolution (4IR) or Industry 4.0 brings with it other integrated digital technologies, including the Internet of Things (IoT), Blockchain, and digital twin (DT), among others. DT offers functions like VM plus other benefits, including intelligent manufacturing, to revolutionize future manufacturing operations activities and predictive capability using real-time data. This paper employs bibliographic metadata from publications indexed on SCOPUS to evaluate the recent trends in VM research and develop predictive models to forecast VM’s future trajectory and relevance in 4IR. The results of the bibliometric evaluation of VM-related scientific literature publications show a rapidly declining research productivity and highlight an exponential decline from the mid-2000s. This period of VM publication decline coincides with the advent of 4IR and DT technology, which are trending. The results of the predictive analytics using the quadratic regression model created in this study to forecast the future relevance of VM in the 4IR era suggest that VM publications show a similar conclusion. VM research output increased until 2009 and then started decreasing exponentially. The quadratic model implies an exponential decrease in yearly VM publications. Future works can evaluate DT and VM research trends from the last two decades.

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Section: Fourth Industrial Revolution and Associated Technologiesmentioning

confidence: 99%

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Kobara,

Akpan

2023

Systems

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“…The Fourth Industrial Revolution (4IR) refers to the current era of technology and progress in the domain of electronic device manufacturing and the development of artificial intelligence methods [28][29], robotics [30], the Internet of Things (IoT) [31] [32], and communication technologies between devices (see Figure 1). The 4IR has the ability to change the way scientific material is delivered to learners through several strategies, including adaptive education, which utilizes machine learning algorithms to create an educational experience for each student individually and provide the necessary support to explain complex issues and provide appropriate responses to any question requested by the student [33] [34].…”

Section: The 4ir In Distance Learningmentioning

confidence: 99%

The Evolving Role of Artificial Intelligence in the Future of Distance Learning: Exploring the Next Frontier

Mijwil

Ali

Sadıkoğlu

2023

Mesopotamian Journal of Computer Science

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In recent years, education has become especially related to the applications provided by artificial intelligence technology through a digital environment that includes a set of tools that assist in processing and storing information. Artificial intelligence techniques contribute to the development of students' skills by providing them with advanced scientific content and building their mental capabilities faster. Moreover, these techniques support analysing student data and suggest suitable educational materials and activities for them. Artificial intelligence is a noteworthy tool for the growth of distance education, especially after the development of expert systems that have become a human advisor in many domains, as this leads to the development of education systems that adjust the level of difficulty of materials based on the student’s performance in the electronic classroom, which ensures that the student continues in education and is not frustrated. This article will review the influential role of artificial intelligence applications in growing distance learning, improving the quality of education, and making it an adaptable and practical environment for students.

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“…Afterwards, the development of 4IR technologies are depicted into various mathematics concepts providing the grounds for manipulation and performing analytics in big data, creation of algorithms, determining variables, design models, frameworks and systems for processes optimization hence shaping practices (Serey et al, 2023;Tao, 2021). According to Oladele et al (2022), mathematics concepts play the vital roles in digitalization and technologies deployments borne to the 4IR. Apparently, within mathematics there are well-defined algorithms comprised of the language with finite sequence of rigorous instructions for Mathematical problems solving (Dutta & Patel, 2022).…”

Section: Introductionmentioning

confidence: 99%

Mathematics Algorithms Gaps from Students Perspectives: A Case of Selected Community Secondary Schools

Banele

2023

edu

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The mixed case study research involved 120 students from community secondary schools located at Chanika Ward in Dar es Salaam were selected using non-probability approach deployed purposively technique. Objectively the study intended to determine and examine the school based contextual practices leading gaps in attainability of mathematics algorithms from students’ perspectives. Data were collected using four ranked Likert scale questionnaire and FGD thereafter analysed using Ms Excel and thematic content. The findings showed that students were experiencing mathematics algorithms gaps in 22 concepts supposed to be covered in the syllabus from form one to four; the identified classroom contextual gaps were categorized into ICT resources, pedagogical and students aspects. Recommendations were made for stakeholders to support schools, teachers and students with the digital and technological tools, creating supportive learning environments fostering creativity, collaboration, critical thinking and problem-solving skills built within Mathematics concepts algorithms fore-fronting the 4IR practices.

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Computer Adaptive-Based Learning and Assessment for Enhancing STEM Education in Africa: A Fourth Industrial Revolution Possibility

Cited by 10 publications

References 37 publications

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

Bibliometric Performance and Future Relevance of Virtual Manufacturing Technology in the Fourth Industrial Revolution

The Evolving Role of Artificial Intelligence in the Future of Distance Learning: Exploring the Next Frontier

Mathematics Algorithms Gaps from Students Perspectives: A Case of Selected Community Secondary Schools

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