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This study explores Artificial Intelligence’s potential in promoting social inclusion in South African tertiary institutions. Despite advancements in expanding access to higher education, historical disparities continue to exclude marginalised groups from accessing equal opportunities in education and human capital development. Artificial Intelligence (AI) offers a promising avenue to bridge this gap by enhancing accessibility, promoting personalised learning, and streamlining administrative processes. The study adopts a desktop literature review to explore how AI-powered tools can leverage intelligent assistive technologies, personalised learning experiences and automated administrative tasks that reduce bureaucratic barriers to enhance physically challenged students’ accessibility and address their diverse learning styles and needs. Despite the potential benefits of AI tools, challenges such as the digital divide, infrastructure constraints, AI bias, cultural sensitivity, and institutional capacity persist to hinder massive adoption. The study recommends infrastructure development, digital literacy programs, culturally sensitive AI design, and capacity-building initiatives for educators to fully harness AI's potential for social inclusion in higher education institutions. The study contributes new knowledge to the ongoing discourse on AI-driven social inclusion in higher education. It emphasises opportunities and challenges prevalent in South Africa. Hence, the study demonstrates how leveraging AI can foster a more inclusive and equitable learning environment

Artificial Intelligence (AI) integration has become increasingly prevalent in various industries, transforming business processes and creating new opportunities. As AI continues to shape the future of work, organisations such as Higher Education Institutions (HEIs) must scrutinize their readiness to develop a workforce competent in AI. AI competencies are fundamental to successfully enacting and integrating these technologies. As a result, several organisations have invested in workforce readiness, albeit these efforts are affected by several actors and determinants. Consequently, organisations must examine the workforce readiness for AI integration as a technology of the future. This paper aims to explore the integration of AI in organisations such as HEIs to ascertain workforce readiness. Addressing three pivotal research questions, it delves into the extent to which the workforce in HEIs is developed and competent in AI, the contributing factors shaping the integration of AI into HEIs’ workforce, and the overall readiness of HEIs in fostering workforce development within the realm of AI. Employing a systematic content analysis review, the study provides pragmatic findings, serving as a reference point to elevate workforce readiness and pinpoint critical determinants. The study identified factors contributing to AI competency development that serve as valuable insights for other institutions aiming to design and implement effective workforce development programs in AI. Also, the findings provide significant implications for institutions seeking to enhance their workforce's competency in AI.   Keywords: Artificial Intelligence, Higher Education Institutions, HEIs, Workforce, Readiness.

Emerging Artificial Intelligence (AI) technologies are transforming the global education sector, with Artificial Intelligence playing a crucial role in enhancing teaching, learning, and administrative processes. In South Africa, AI-driven innovations have the potential to bridge educational gaps, improve student engagement, and personalize learning experiences. Adaptive learning platforms, automated grading systems, and intelligent tutoring applications are revolutionizing education by making it more efficient and accessible. However, despite these advancements, the adoption of AI in South African education faces significant challenges. Key challenges include data privacy concerns, ethical considerations, and a shortage of AI-skilled educators. These challenges create an uneven distribution of AI’s benefits, limiting its potential to improve learning outcomes on a national scale. Highlighting the need to explore the opportunities and barriers associated with the adoption of emerging AI technologies in South African education. Therefore, this study adopts a comprehensive literature review aiming to explore emerging AI technologies in the educational context in south Africa. To achieve this, the research will address the following questions: What impact have new technologies had on South Africa’s development? and in what ways can emerging technologies supporting South Africa's development initiatives. The findings indicate that AI tools have shown success in improving learning outcomes, increasing student engagement, and streamlining administrative tasks in well-resourced schools. However, their impact is uneven due to infrastructural and systemic challenges; also, the widespread adoption is hindered by a persistent digital divide, limited internet access, and a shortage of AI-trained educators, especially in rural areas. Additionally, ethical concerns such as data privacy, algorithmic bias, and the absence of clear regulatory frameworks pose significant barriers.

Our way of life has evolved due to the advent of AI. Artificial intelligence (AI) is already having an impact on many parts of the industry and will likely find additional uses in the future. This research study investigates the students' readiness to adopt AI. An exploratory research design undergirds this investigation. A questionnaire (based on a prior study) survey was used to gather data. The SPSS and AMOS Graphics are used to conduct EFA and CFA. 387 respondents were taken into consideration for the study. In this investigation, the KMO value is 0.839. Factor loading is larger than 0.45, with 22 items. This study extracts five components: educational content (EC), institutional facilities (IF), artificial intelligence awareness (AW), acceptance barriers (AB), and usage/application (AP). The Eigen values of those components are 5.056, 2.420, 1.640, 1.411, and 1.000, explaining 52.4% of the total variation. The CFA model fit findings show that CMIN/DF=2.360, GFI= 0.0.913, AGFI= 0.884, CFI= 0.880, RMSEA=0.05, SRMR=0.05, Hoelter's N returns value at 5% significant level = 195 and at 1% significant level = 210, Chi square= 372.870, df=158, p=0.000. Today, AI may boost tertiary students' productivity. Engaging pupils with technology in our country helps determine their AI interests. The study shows how educational content, institutional facilities, artificial intelligence knowledge, acceptance hurdles, and usage/application affect students' preparedness to adopt AI. This research will help higher education authorities to introduce IT infrastructure, teach students to understand AI technology, and inspire future academics to contribute to this era of intelligent robots.

A transformative shift is imminent as generative artificial intelligence facilitates a synthetic and highly individualised approach to information creation and transmission. Technological breakthroughs and innovations necessitate the integration of technology across all facets of life, operations, and education to improve efficiency and effectiveness. Numerous institutions worldwide have adopted Generative AI (GenAI) as a revolutionary tool in educational dialogue, encompassing teaching, learning, student participation, and research. The study sought to assess digital innovations using GenAI, video platforms, and social media within the educational sphere. A mixed-methods design was employed including 225 participants. Research indicated that AI improves personalisation and engagement, while video and social media tools promote collaboration and digital literacy. GenAI can automate administrative functions, support multidisciplinary research, and enhance dynamic and interactive learning experiences. Artificial intelligence can automate and improve several processes, facilitating support for both learners and educators, from managing routine enquiries to optimising resource allocation via predictive analytics. Video educational platforms facilitate the creation of interactive and customised content. Social media may augment initiatives, cultivate digital literacy, and promote user-generated content. The research suggests that effective integration necessitates ethical AI knowledge and institutional capability.

A transformative shift is imminent as generative artificial intelligence facilitates a synthetic and highly individualised approach to information creation and transmission. Technological breakthroughs and innovations necessitate the integration of technology across all facets of life, operations, and education to improve efficiency and effectiveness. Numerous institutions worldwide have adopted Generative AI (GenAI) as a revolutionary tool in educational dialogue, encompassing teaching, learning, student participation, and research. The study sought to assess digital innovations using GenAI, video platforms, and social media within the educational sphere. A mixed-methods design was employed including 225 participants. Research indicated that AI improves personalisation and engagement, while video and social media tools promote collaboration and digital literacy. GenAI can automate administrative functions, support multidisciplinary research, and enhance dynamic and interactive learning experiences. Artificial intelligence can automate and improve several processes, facilitating support for both learners and educators, from managing routine enquiries to optimising resource allocation via predictive analytics. Video educational platforms facilitate the creation of interactive and customised content. Social media may augment initiatives, cultivate digital literacy, and promote user-generated content. The research suggests that effective integration necessitates ethical AI knowledge and institutional capability.

Emerging Artificial Intelligence (AI) technologies are transforming the global education sector, with Artificial Intelligence playing a crucial role in enhancing teaching, learning, and administrative processes. In South Africa, AI-driven innovations have the potential to bridge educational gaps, improve student engagement, and personalize learning experiences. Adaptive learning platforms, automated grading systems, and intelligent tutoring applications are revolutionizing education by making it more efficient and accessible. However, despite these advancements, the adoption of AI in South African education faces significant challenges. Key challenges include data privacy concerns, ethical considerations, and a shortage of AI-skilled educators. These challenges create an uneven distribution of AI’s benefits, limiting its potential to improve learning outcomes on a national scale. Highlighting the need to explore the opportunities and barriers associated with the adoption of emerging AI technologies in South African education. Therefore, this study adopts a comprehensive literature review aiming to explore emerging AI technologies in the educational context in south Africa. To achieve this, the research will address the following questions: What impact have new technologies had on South Africa’s development? and in what ways can emerging technologies supporting South Africa's development initiatives. The findings indicate that AI tools have shown success in improving learning outcomes, increasing student engagement, and streamlining administrative tasks in well-resourced schools. However, their impact is uneven due to infrastructural and systemic challenges; also, the widespread adoption is hindered by a persistent digital divide, limited internet access, and a shortage of AI-trained educators, especially in rural areas. Additionally, ethical concerns such as data privacy, algorithmic bias, and the absence of clear regulatory frameworks pose significant barriers.

Artificial Intelligence (AI) integration has become increasingly prevalent in various industries, transforming business processes and creating new opportunities. As AI continues to shape the future of work, organisations such as Higher Education Institutions (HEIs) must scrutinize their readiness to develop a workforce competent in AI. AI competencies are fundamental to successfully enacting and integrating these technologies. As a result, several organisations have invested in workforce readiness, albeit these efforts are affected by several actors and determinants. Consequently, organisations must examine the workforce readiness for AI integration as a technology of the future. This paper aims to explore the integration of AI in organisations such as HEIs to ascertain workforce readiness. Addressing three pivotal research questions, it delves into the extent to which the workforce in HEIs is developed and competent in AI, the contributing factors shaping the integration of AI into HEIs’ workforce, and the overall readiness of HEIs in fostering workforce development within the realm of AI. Employing a systematic content analysis review, the study provides pragmatic findings, serving as a reference point to elevate workforce readiness and pinpoint critical determinants. The study identified factors contributing to AI competency development that serve as valuable insights for other institutions aiming to design and implement effective workforce development programs in AI. Also, the findings provide significant implications for institutions seeking to enhance their workforce's competency in AI.   Keywords: Artificial Intelligence, Higher Education Institutions, HEIs, Workforce, Readiness.

Our way of life has evolved due to the advent of AI. Artificial intelligence (AI) is already having an impact on many parts of the industry and will likely find additional uses in the future. This research study investigates the students' readiness to adopt AI. An exploratory research design undergirds this investigation. A questionnaire (based on a prior study) survey was used to gather data. The SPSS and AMOS Graphics are used to conduct EFA and CFA. 387 respondents were taken into consideration for the study. In this investigation, the KMO value is 0.839. Factor loading is larger than 0.45, with 22 items. This study extracts five components: educational content (EC), institutional facilities (IF), artificial intelligence awareness (AW), acceptance barriers (AB), and usage/application (AP). The Eigen values of those components are 5.056, 2.420, 1.640, 1.411, and 1.000, explaining 52.4% of the total variation. The CFA model fit findings show that CMIN/DF=2.360, GFI= 0.0.913, AGFI= 0.884, CFI= 0.880, RMSEA=0.05, SRMR=0.05, Hoelter's N returns value at 5% significant level = 195 and at 1% significant level = 210, Chi square= 372.870, df=158, p=0.000. Today, AI may boost tertiary students' productivity. Engaging pupils with technology in our country helps determine their AI interests. The study shows how educational content, institutional facilities, artificial intelligence knowledge, acceptance hurdles, and usage/application affect students' preparedness to adopt AI. This research will help higher education authorities to introduce IT infrastructure, teach students to understand AI technology, and inspire future academics to contribute to this era of intelligent robots.

This study explores Artificial Intelligence’s potential in promoting social inclusion in South African tertiary institutions. Despite advancements in expanding access to higher education, historical disparities continue to exclude marginalised groups from accessing equal opportunities in education and human capital development. Artificial Intelligence (AI) offers a promising avenue to bridge this gap by enhancing accessibility, promoting personalised learning, and streamlining administrative processes. The study adopts a desktop literature review to explore how AI-powered tools can leverage intelligent assistive technologies, personalised learning experiences and automated administrative tasks that reduce bureaucratic barriers to enhance physically challenged students’ accessibility and address their diverse learning styles and needs. Despite the potential benefits of AI tools, challenges such as the digital divide, infrastructure constraints, AI bias, cultural sensitivity, and institutional capacity persist to hinder massive adoption. The study recommends infrastructure development, digital literacy programs, culturally sensitive AI design, and capacity-building initiatives for educators to fully harness AI's potential for social inclusion in higher education institutions. The study contributes new knowledge to the ongoing discourse on AI-driven social inclusion in higher education. It emphasises opportunities and challenges prevalent in South Africa. Hence, the study demonstrates how leveraging AI can foster a more inclusive and equitable learning environment