Artificial intelligence and the question of being

Toit, Cornel W. Du

doi:10.4102/hts.v75i1.5311

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…All the participants of the educational process felt this especially clear during the pandemic. However, the world is changing objectively, and one has to be prepared for it, as is noted in the study by Cornel W. Toit (2019). Students have experienced significant overload during quarantine and self-isolation having to study a greater number of educational materials independently and spend a large amount of time at the computer despite the sanitary standards which harms their health.…”

Section: Resultsmentioning

confidence: 99%

The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

Vinichenko

Rybakova

Vinogradova

et al. 2020

PyR

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The article examines the nature of the effect of the digital economy and artificial intelligence on the participants of the school educational process. The study deploys a Likert scale questionnaire, focused interview, and IBM SPSS Statistics 22 as the main instruments. The authors determine the status of a teacher in the AI-teacher system and identify the nature of AI's influence on the students and communication within the teacher-student-teacher system. Support is provided for the hypothesis suggesting that the effect of the digital economy and AI on the participants of the school educational process (teachers and students) is complex and controversial and causes the differences in the teachers' positions depending on their age, working experience, and the subject of specialization. The primary advantage of the article is the identification of stable relationships in the teacher-student-teacher system developing with the help of AI. The study indicates the teacher's advantage over AI in teaching technique and social influence, as well as the negative effect of AI on students' health. For the first time, the authors examine the nature of role changes in the AI-teacher system in the context of a global pandemic. The danger of AI replacing teachers with the help of teachers themselves is identified. The acquired results may be used by theorists and practitioners for further development of the foundations of the system of education and human interaction with AI in the digital economy.

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Section: Resultsmentioning

confidence: 99%

The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

Vinichenko

Rybakova

Vinogradova

et al. 2020

PyR

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“…This was followed by the introduction of electricity (Stage 2.0: 1870) and, later, the application of electronics and information technology (Stage 3.0: 1970) before the transition to advanced technology (Stage 4.0: 2011). This stage incorporates tools such as big data analytics, robotics, simulation, the Internet of Things (IOT), artificial intelligence (AI) and cloud computing (Du Toit, 2019; Cimini et al , 2020). IR 4.0 involves automation and smart sensors to enhance work conditions and boost productivity and quality (Drath and Horch, 2014).…”

Section: Introductionmentioning

confidence: 99%

Human machine interactions: from past to future- a systematic literature review

Jain,

Gupta,

Temperini

et al. 2024

JMH

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Purpose This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs). Design/methodology/approach To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework. Findings Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions. Research limitations/implications There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today. Originality/value This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

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“…The Industrial Revolution 4.0 provides a new human direction as a study of the megatrends of this century, in economic, social, and cultural life (Duran & Sengil, 2019;Nangoy, Mursitama, Setiadi, & Pradipto, 2020;Toit, 2019), in fields of science and technology. Various changes and studies have been developed to predict how humans would live in this century because the changing environment directly demands new life skills.…”

Section: Introductionmentioning

confidence: 99%

Validating a model of industrial literacy 4.0 in higher education among postgraduate students: A structural equation modeling approach

Suparno,

Purwana,

Wibowo

et al. 2023

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This research aimed to develop a new industrial literacy model 4.0 in Higher Education. The research population consisted of 2,958 postgraduate students. Using a random sampling technique, the study obtained a sample of 312 postgraduate students. Survey data were analyzed for validity and reliability of the model, and later developed through confirmatory factor analysis (CFA) and exploratory factor analysis (EFA), using AMOS 25. The results of the model were trimmed by following the model development method to obtain goodness of fit (GOF). according to the criteria that enabled research generalizations to be carried out. The stages of the research were carried out by studying theory and literature, compiling research models, developing variable operational studies, data collection and processing, and reporting. The results of this study hinted at some best practices for developing literacy 4.0 in Higher Education in theory and measurement. The results showed that new industrial literacy 4.0 in tertiary institutions was formed by data literacy, digital literacy, and human literacy along with its constituent indicators, which met the requirements of expert validation, statistical validity and reliability, and goodness of fit. Future researchers should use the analysis of the forming factors of literacy 4.0, modeling and developing them on a wider scale in tertiary institutions, to advance educational standards and meet the megatrend of future student education skills.

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Artificial intelligence and the question of being

Cited by 5 publications

References 3 publications

The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process

Human machine interactions: from past to future- a systematic literature review

Validating a model of industrial literacy 4.0 in higher education among postgraduate students: A structural equation modeling approach

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