The Ecocentric and Anthropocentric Attitudes toward the Sustainable Development (EAATSD) scale measures environmental concern in relation to sustainable development. This article will discuss how this scale was tested with three groups of Dutch higher education students. Findings demonstrate that anthropocentric and ecocentric values are independent of the students’ chosen course of study, suggesting that students attracted by the ‘sustainable development’ course title do not necessarily associate ‘sustainability’ with ecocentric aims. This article discusses why ecocentric values are beneficial to the objective of a sustainable society and proposes ways forward in which these values can be enhanced in learners. https://doi.org/10.3390/educsci7030069 https://www.linkedin.com/in/helenkopnina/
MULTIFILE
The divide between us and the rest of nature has been attributed to various rootcauses: the growing disenchantment of the world, the loss of direct experience andlately the replacement of the real with simulations of it. Modernity's move away fromthe natural world has also generated countervailing movements, beginning with theRomantics and leading up to the manifold forms of environmental education in ourtimes. When we seek to reconnect to the natural world through an open-ended artistic process, what happens? In this thesis, Jan van Boeckel explores the kind of learning that takes place through arts-based environmental education.
DOCUMENT
In today’s technological world, human intertwinement with the rest of nature hasbeen severely diminished. In our digital culture, many people hardly have any direct experience of and sense of connection with “the real” of the natural world. The author assumes that when we want to find ways to mend this gap, arts-based environmental education (AEE) can play a meaningful role. In AEE, artmaking is regarded as itself a way of potentially gaining new understandings about our natural environment. As a reflective practitioner, the author facilitated three different AEE activities, at several times and at diverse locations. On basis of his observations, memories, written notes, audio-visual recordings and interviews with participants, teachers and informed outsiders, he interpreted the experiences both of participants and himself. To this end he employed interpretative phenomenological analysis paired with autoethnography.The artmaking activities researched here aimed to bring about a shift in focus. Participants were encouraged to approach natural phenomena not head-on, but in an indirect way. Moreover, the artmaking process aspired to heighten their awareness to the presence of their embodied self at a certain place. The research questions that the author poses in this study are: (1) What is distinctive in the process of the AEE activities that I facilitate?; (2) Which specific competencies can be identified for a facilitator of AEE activities?; and (3) Does participating in the AEE activities that I facilitate enhance the ability of participants to have a direct experience of feeling connected to the natural world?In this explorative study, the author identifies facilitated estrangement through participating in AEE as an important catalyst when aiming to evoke such instances of transformative learning. In undergoing such moments, participants grope their way in a new liminal space. Artmaking can create favorable conditions for this to happen through its defamiliarizing effect which takes participants away from merely acting according to habit (on “autopilot”). The open-ended structure of the artmaking activities contributed to the creation of a learning arena in which emergent properties could become manifest. Thus, participants could potentially experience a sense of wonder and begin to acquire new understandings – a form of knowing that the author calls “rudimentary cognition.” The research further suggests that a facilitator should be able to bear witness to and hold the space for whatever enfolds in this encounter with artistic process in AEE. He or she must walk the tightrope between control and non-interfering.The analysis of the impacts of the AEE activities that were facilitated leads the author to conclude that it is doubtful whether these in and of themselves caused participants to experience the natural environment in demonstrable new and deep ways. He asserts that most of their awareness was focused on the internal level of their own embodied presence; engagement with place, the location where the AEE activity was performed, seemed secondary. The findings show that AEE activities first and foremost help bring about the ignition and augmentation of the participants’ fascination and curiosity, centered in an increased awareness of their own body and its interactions with the natural world. The present study can be seen as a contribution to efforts of envisaging innovative forms of sustainable education that challenge the way we have distanced ourselves from the more-than-human world.
LINK
The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
Currently, many novel innovative materials and manufacturing methods are developed in order to help businesses for improving their performance, developing new products, and also implement more sustainability into their current processes. For this purpose, additive manufacturing (AM) technology has been very successful in the fabrication of complex shape products, that cannot be manufactured by conventional approaches, and also using novel high-performance materials with more sustainable aspects. The application of bioplastics and biopolymers is growing fast in the 3D printing industry. Since they are good alternatives to petrochemical products that have negative impacts on environments, therefore, many research studies have been exploring and developing new biopolymers and 3D printing techniques for the fabrication of fully biobased products. In particular, 3D printing of smart biopolymers has attracted much attention due to the specific functionalities of the fabricated products. They have a unique ability to recover their original shape from a significant plastic deformation when a particular stimulus, like temperature, is applied. Therefore, the application of smart biopolymers in the 3D printing process gives an additional dimension (time) to this technology, called four-dimensional (4D) printing, and it highlights the promise for further development of 4D printing in the design and fabrication of smart structures and products. This performance in combination with specific complex designs, such as sandwich structures, allows the production of for example impact-resistant, stress-absorber panels, lightweight products for sporting goods, automotive, or many other applications. In this study, an experimental approach will be applied to fabricate a suitable biopolymer with a shape memory behavior and also investigate the impact of design and operational parameters on the functionality of 4D printed sandwich structures, especially, stress absorption rate and shape recovery behavior.
Drones have been verified as the camera of 2024 due to the enormous exponential growth in terms of the relevant technologies and applications such as smart agriculture, transportation, inspection, logistics, surveillance and interaction. Therefore, the commercial solutions to deploy drones in different working places have become a crucial demand for companies. Warehouses are one of the most promising industrial domains to utilize drones to automate different operations such as inventory scanning, goods transportation to the delivery lines, area monitoring on demand and so on. On the other hands, deploying drones (or even mobile robots) in such challenging environment needs to enable accurate state estimation in terms of position and orientation to allow autonomous navigation. This is because GPS signals are not available in warehouses due to the obstruction by the closed-sky areas and the signal deflection by structures. Vision-based positioning systems are the most promising techniques to achieve reliable position estimation in indoor environments. This is because of using low-cost sensors (cameras), the utilization of dense environmental features and the possibilities to operate in indoor/outdoor areas. Therefore, this proposal aims to address a crucial question for industrial applications with our industrial partners to explore limitations and develop solutions towards robust state estimation of drones in challenging environments such as warehouses and greenhouses. The results of this project will be used as the baseline to develop other navigation technologies towards full autonomous deployment of drones such as mapping, localization, docking and maneuvering to safely deploy drones in GPS-denied areas.
Lectorate, part of NHL Stenden Hogeschool
