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Toda a obra e pensamento do Padre Manuel Antunes se revestem de características de grande abrangência e de capacidade de abertura à inovação, na perspetiva de que o pensamento crítico, sendo perscrutador do desconhecido, enquanto questiona o conhecimento adquirido ou em pesquisa, não se pode fechar em si mesmo ou separar partes do conhecimento de um todo que constitui o universo, e o homem como parte deste, já que se objetiva a compreensão última do Todo. Encontramos, portanto, traços de transdisciplinaridade na obra e pensamento do Padre Manuel Antunes indicando um pioneirismo relativamente ao movimento da transdisciplinaridade que arranca com o primeiro congresso da área e a respetiva carta daí resultante. Neste artigo, os autores propõem uma análise crítica da obra do Padre Manuel Antunes à luz dos princípios fundacionais encontrados na Carta da Transdisciplinaridade de 1994.

This chapter describes how intellectual capital comprising human capital, structural capital, and relational capital are being created for school development and quality assurance in Macau. Macau has aimed to catch up with the global education reform by subsidising majorities of the non-tertiary sectors and promulgating Decree Laws regarding education policies and development. Despite the significance of the intangible assets of the intellectual capital, the chapter also attempts to analyse the issues and challenges towards the management of intellectual capital emerging simultaneously in the transition process in the educational context of Macau. It suggests capitalising on the accumulated school knowledge for school effectiveness. This chapter depicts the chronological development of Macau's education reform by analysing how Macau has attempted to emancipate its education institutions from the period of quasi-closed system to that of the open system by creating different types of intellectual capital in school. It discusses the emerging issues and challenges simultaneously in the transition process of educational development in Macau, namely before and after returning its sovereignty to the Chinese government.

- Flipped classroom metodologiak eskaintzen dituen abantaila pedagogikoak (Ander Goikoetxea Pérez, Hannot Mintegia Beaskoa). - Conocimiento de la actualidad informativa a partir de la participación del alumnado que ejerce de periodista y lector crítico (María del Mar Rodríguez González, Iñigo Marauri Castillo, Guillermo Gurrutxaga Rekongo). - El papel del procesamiento dual de la información en la discriminación de noticias falsas (José Manuel Meza Cano, Cinthia Aranda-Solís, Blanca Olalde López de Arechavaleta, Santiago Palacios Navarro). - No trespassing: Arau, traba eta mugen bidezko metodologia sortzaile bat kazetaritza gradurako (Hannot Mintegia Beaskoa, Ander Goikoetxea Pérez). - Learning digital journalism: Analysing web media in comparative perspective to learn what is quality in digital communication (Javier Díaz-Noci). - El sistema híbrido vehículo de comunicación educativa (Antonio Vaquerizo Mariscal). - The pedagogical role of ethics and deontology for future professionals of communication and media: How to develop and nourish virtues (José Manuel Simões). - Desgaitasuna duten pertsonen Komunikazio ikasketetako prestakuntzari buruzko gogoetak (Terese Mendiguren, Jesús Ángel Pérez Dasilva, Koldobika Meso Ayerdi, Simón Peña, Ainara Larrondo, María Ganzabal). - Teaching Communication (and Journalism) History from Social History Theory: Some proposals (Javier Díaz-Noci).

Environmental education (EE) has long been practiced worldwide, while Nature-based solutions (NBS) is a relatively new concept. This chapter aims to provide an overview of the EE and NBS practices in East Asia and evaluate how these two valuable applications can be used concurrently. East Asia has a well developed environmental education (EE) programs and activities, both in formal and informal education. These ranges from developing green schools and campuses to establishing policies and acts. While EE has been actively practiced for decades in the region, the adoption of NBS to address environmental and societal challenges is limited. The educational benefits and opportunities from NBS are also lacking. Although there are some projects that can be classified as NBS, like the use of wetlands for wastewater treatment, they are not clearly categorized as one. These projects are also not integrated into environmental education programs. Considering this, the region should develop innovative environmental education programs for schools, universities and communities, that integrate NBS projects. Integrating the two together will boost the effectiveness of environmental education in raising environmental awareness and changing the environmental attitude and behavior of people, which will also help address societal issues.

Digital Factory (DF) planning is the key of intelligent factory construction, where intelligent production technologies of big data analysis, cloud computing, blockchain, Internet of Things, artificial intelligence, 5G, Time Sensitive Network (TSN), Digital Twin (DT), additive manufacturing are included. By applying the modern techniques, DF performs great advantages on the aspects of product lifecycle management, enterprise resource planning, operation management, supply chain management, real-time database construction, advanced process control, as well as the new technologies of distributed control system and fieldbus control system. This article delivers a review of key issues of DF top-level design and planning from the aspects of networking, precision, automation and digitalization. Solutions are explored based on 5G, TSN and DT advanced technologies, literately and practically. Additionally, the article describes the method and application of efficient big data comprehensive solution. Therefore, this study contributes valuable decision-making support for DF applications.

Current global shifts in education towards inclusive early childhood education are deeply engineered by the crisis of educational exclusion. In responding to exclusion, teachers have mainly utilized dominant western theories to plan and implement inclusive teaching. In this chapter, we draw on a non-western philosophy, a Nichiren Buddhist (Soka) philosophy, to provide a ‘kaleidoscopic’ lens through which to create inclusive educational learning spaces that engender full participation of all children. The Soka education philosophy is a humanist concept which can guide teachers when preparing to create inclusive education. The aims of this chapter are threefold: The first is an exploration of the Nichiren Buddhist (Soka) philosophy. The second aim is to highlight how this philosophy can enable teachers to unleash the unlimited potential of children in inclusive learning settings. Thirdly, we argue that grounding early childhood teacher education in this philosophy can help improve the effectiveness of inclusive educational experience for all children.

Following the World Health Organization proclaims a pandemic due to a disease that originated in China and advances rapidly across the globe, studies to predict the behavior of epidemics have become increasingly popular, mainly related to COVID-19. The critical point of these studies is to discuss the disease's behavior and the progression of the virus's natural course. However, the prediction of the actual number of infected people has proved to be a difficult task, due to a wide range of factors, such as mass testing, social isolation, underreporting of cases, among others. Therefore, the objective of this work is to understand the behavior of COVID-19 in the state of Ceará to forecast the total number of infected people and to aid in government decisions to control the outbreak of the virus and minimize social impacts and economics caused by the pandemic. So, to understand the behavior of COVID-19, this work discusses some forecast techniques using machine learning, logistic regression, filters, and epidemiologic models. Also, this work brings a new approach to the problem, bringing together data from Ceará with those from China, generating a hybrid dataset, and providing promising results. Finally, this work still compares the different approaches and techniques presented, opening opportunities for future discussions on the topic. The study obtains predictions with R2 score of 0.99 to short-term predictions and 0.93 to long-term predictions.