Responsive educational proposals to develop skills to meet the demands of Industry 4.0 have become imperative to guarantee inclusive, equitable, and quality education and promote lifelong learning opportunities for all, also reducing the negative impact of COVID-19 and the major post-pandemic social issues. This article analyzes which components of Education 4.0 have been considered in 21st century skills frameworks and identifies the teaching and learning methods and key stakeholders impacted. We conducted a systematic literature review (SLR) with research questions to highlight studies that address 21st century frameworks worldwide, identifying which teaching-–earning strategies contain 4.0 components, their learning dimensions, and the targeted stakeholders. The findings allowed us to identify opportunities to create or improve 21st century skills frameworks with the required Education 4.0 components to develop future skills. Our study revealed the absence of these frameworks for teachers and schools. Most are oriented toward students, developing competencies through the dimensions of character, meta-learning, and linking active learning teaching strategies. This work presents studies incorporating innovative educational practices and the core Education 4.0 components. It concludes with a reflection on creating educational models to develop complex-reasoning competencies and auto-systemic thinking to support problem-solving and address social needs.

Artificial intelligence (AI) and AI-based chatbots, such as ChatGPT, are transforming the approach to education. In particular, ChatGPT’s potential to process large amounts of data and learn from user interactions makes it a beneficial resource for students, albeit with some reluctance from some teachers. This study aimed to explore the acceptance of ChatGPT by university students. The researchers administered an online survey to 400 Spanish university students aged 18–64 (M = 21.80; SD = 6.40). The results of the methodological approach based on the UTAUT2 model for technology adoption showed that: 1) gender was not a determining variable in any construct while the experience of use was a factor conditioning a higher score on all constructs; 2) experience, performance expectancy, hedonic motivation, price value, and habit were influential in behavioral intention to use ChatGPT; 3) facilitating conditions, habit, and behavioral intention were conditioning factors in user behavior. Finally, this report discusses the findings and practical implications of the work and recommends some good uses for ChatGPT.

Today’s complex, dynamic, interconnected world presents the field of education (“Education 4.0”) with significant challenges in developing competencies for reasoning for complexity. This article analyzes complex thinking as a macro-competency with sub-competencies of critical, systemic, scientific, and innovative thinking in educational environments. We worked with the systematic literature review method, selecting 35 articles in the Scopus and Web of Science databases using keywords words of interest and applying inclusion and exclusion criteria. Seven research questions guided the data analysis. The results highlighted that: (a) there are common characteristics of studies linking complex thinking, critical thinking, and creative thinking; (b) there is predominance of the qualitative method in the studies; (c) the critical thinking competency has been the most addressed in the research; (d) the predominant components of Education 4.0 are teaching methods and techniques; and (e) the three challenges that stand out for educational research are project feasibility, research opportunities, and required skills. This article is intended to be of value to academic and social communities and decision-makers interested in developing reasoning for complexity within the framework of Education 4.0.

Open science, as a common good, opens possibilities for the development of nations, through innovations and collaborative constructions, which help to democratize knowledge. Advances in this area are still emerging, and the open science, cocreation of knowledge and open innovation triangle, is presented as an opportunity to generate an original contribution from research to open educational theory and practices. The study analyzed the articles that addressed this triangle, in order to identify the contexts and challenges that arise in open innovation and the cocreation of knowledge to promote open science. The method was a systematic literature review (SLR) of 168 articles published in open access format, from January 2014 to May 2017 in the Web of Science and Scopus databases. In the validation process, the York University criteria were used: inclusion and exclusion, relevance of the pertinent studies, evaluation of the quality / validity of included studies and description of data / basic studies. The findings showed that the mostwidely publicized contexts were in the United States and Brazil, in the business and academic sectors (closely followed by the social sector), and the challenges were open to innovation, opening and research. The research concludes that the context and practices of collaboration are substantial elements for innovation and open science. La ciencia abierta, como bien común, abre posibilidades para el desarrollo de las naciones a través de innovaciones y construcciones colaborativas que ayudan a democratizar el conocimiento. Los avances en la materia aún son incipientes y el triángulo ciencia abierta, cocreación del conocimiento e innovación abierta se presenta como una oportunidad de generar un aporte original, desde la investigación, para la teoría y las prácticas educativas abiertas. En el estudio se analizaron los artículos que abordan este triángulo, con el fin de identificar los contextos y retos que se presentan en la innovación y en la cocreación de conocimiento para impulsar la ciencia abierta. El método fue una revisión sistemática de literatura (SLR) de 168 artículos publicados en acceso abierto, de enero 2014 a mayo 2017, en las bases de datos Web of Science y Scopus. La validación se dio con los criterios de la Universidad de York: inclusión y exclusión, pertinencia, evaluación de calidad / validez de los estudios y descripción de datos. Los hallazgos reflejan que los contextos de mayor publicación sobre el tema son los de Estados Unidos y Brasil, en los sectores empresariales y académicos (seguido de cerca por el sector social) y los retos se abren en las posibilidades de innovación, apertura e investigación. Se concluye que el contexto y las prácticas de colaboración son elementos sustanciales para la innovación y la ciencia abierta.

The rapid evolution of knowledge requires constantly acquiring and updating skills, making lifelong learning crucial. Despite decades of artificial intelligence, recent advances promote new solutions to personalize learning in this context. The purpose of this article is to explore the current state of research on the development of artificial intelligence-mediated solutions for the design of personalized learning paths. To achieve this, a systematic literature review (SRL) of 78 articles published between 2019 and 2024 from the Scopus and Web or Science databases was conducted, answering seven questions grouped into three themes: characteristics of the published research, context of the research, and type of solution analyzed. This study identified that: (a) the greatest production of scientific research on the topic is developed in China, India and the United States, (b) the focus is mainly directed towards the educational context at the higher education level with areas of opportunity for application in the work context, and (c) the development of adaptive learning technologies predominates; however, there is a growing interest in the application of generative language models. This article contributes to the growing interest and literature related to personalized learning under artificial intelligence mediated solutions that will serve as a basis for academic institutions and organizations to design programs under this model.

The United Nations (UN) identifies four key elements as agents for change and for addressing societal challenges: education, research, innovation and leadership. The use of technology, from a pedagogical and organizational point of view, in higher education institutions has brought about new challenges. The integration of them in the teaching–learning processes has experienced a great evolution, giving way to a digital transformation and the acquisition of new skills and knowledge, thus pointing towards quality education within the framework of sustainable development objectives. This document aims to describe and analyze the ways in which seven higher education institutions, three in Spain and four in Mexico, have taken up the challenge of adopting technologies and applying them to the educational process. To this end, in-depth interviews and direct observations were carried out. The results point to three dimensions: technological, pedagogical and organizational, which shed light on the different factors that influence the choice and availability of the use of technologies. The results indicate that contextual factors play a determinant role in the ability of an institution to profit from technologies to aid the educational process and guarantee its quality.