In summarizing the research on collaborative learning, the quest for the holy grail of effective collaborative learning has not yet ended. The use of the GLAID framework tool for the design of collaborative learning in higher education may contribute to better aligned designs and hereby contribute to more effective collaborative learning. The GLAID framework may help monitor, evaluate and redesign projects and group assignments. We know that the perception of the quality of the task, and the extent to which students feel engaged, influences the perception of students of how much they learn from a GLA. However, perceptions alone are only an indication of what is learned. A next step is to study exactly what those learning outcomes are. This leads to a more difficult question: how can we measure the learning outcomes? Although a variety of research underlines the large potential of collaboration for learning outcomes, the exact learning outcomes of team learning can only be partly foretold. During collaborative learning students could partly achieve the same or similar learning outcomes, but as each individual learning internalizes what is learned from the collaborative learning by his/her given prior experiences and knowledge, the learning outcomes of collaborative learning are probabilistic (Strijbos, 2011), and therefore attaining specific learning outcomes is likely but not guaranteed. If learning outcomes are different per individual and are probabilistic, how can we measure those learning outcomes? Wenger, Trayner, & De Laat (2011) regard the outcomes of learning communities as value creations that have an individual outcome and a group outcome. This value creation induced by collaborative learning consists, for example, of changed behaviour in the working environment as well as the production of useful products or artefacts. Tillema (2006) also describes that communities of inquiry can lead to the design of conceptual artefacts: products that are useful for a professional working environment.
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How to transform your city into a carbon-neutral community?
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In Cok Bakker & Nicolina Montesano Montessori (Eds.), Complexity in Education: From Horror to Passion. Rotterdam/Boston/Taipei: SensePublishers.
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Study of new networks that are currently emerging in the local energy initiatives.
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Some researchers insist that sustainability should be represented as a continuous quest, doubting that there is the ‘right’ way to be sustainable. Acknowledging the immensity of sustainability challenges, this article takes a different perspective, arguing that without understanding of concrete barriers and seeking solutions, the challenge of addressing unsustainable practices becomes unsurmountable. This article will summarize research in sustainability literature that indicates that sustainability requires a constant human population, as well as ecologically benign method of production. This article will survey a number of helpful frameworks that address the key obstacles to sustainability, namely population growth, and unsustainable production and consumption. These frameworks are discussed in the context of business-level solutions and production systems. As illustrated by examples of best practices as well as potential pitfalls associated with each system, these systems have the potential to move the quest for sustainability beyond ‘business as usual.’ https://doi.org/10.1007/s10668-015-9723-1 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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This contribution explores the anatomy of “safe uncertainty” in the research process of students in higher education. Uncertainty and research go hand in hand, as uncertainty is omnipresent in the process of research. Mostly in the background, but sometimes looming large in the foreground. We tend to expel uncertainty from research. We try to make the research process as predictable as possible by creating clear criteria, planning, making agreements and organizing supervision. Also with regard to the content, uncertainty has to be decreased. We try to reduce uncertainty by emphasizing precision, objectivity, logic, accountablility, measurability, validity, reliablility. And in the process, we are actually searching for the right concepts, language, or even shared images, in order to get as much grip as possible on the intangible research process.
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