Project-based Learning for Environmental Sustainability Action

The quest for social and economic development coupled with a growing population has led to complex and unsustainable interactions between humans and the natural resources of planet Earth. One approach to addressing complex, ‘wicked’ problems involves closing the gap between the sustainability knowledge of individuals and the competencies for positive environmental behaviours. Projectbased learning is one teaching-learning strategy which provides opportunities for cultivating a wide range of sustainability competencies to close this gap. Two cases are presented in this paper in which project-based learning was used for fostering environmental competencies and advancing sustainability. One relates to teachers in a graduate course, and the other, to students using an online learning platform. Evaluation of various qualitative documents and artefacts produced by participants revealed that i) teachers and students were motivated and enabled to take action on environmental and sustainability issues through project-based learning ii) participants’ environmental knowledge and sustainability competencies such as communication and collaboration skills were enhanced. School administrators should therefore encourage a culture where project-based learning is infused into the curriculum, and teachers’ collaborative efforts regarding projects are supported

Learning Strategies Through Babbling Techniques to Improve Language Comprehension Ability in Deaf Children at YPLAB SLB Lembang West Java

Language is a symbol of the referee sound used by members of social groups to work together, communicate, and identify themselves. The main function of language is as a means of communication between humans. With language will facilitate communication between individuals. This is not owned by deaf children. They have difficulty in language skills, especially in abstract understanding. So that deaf children must be given optimal educational services. Based on the language development of deaf children it stops in the groping or babbling phase so that their language experience is very limited. As a result, they have difficulty understanding language and communicating less than optimally. The language in question is the ability of deaf children to understand receptive and expressive language. For this reason, learning strategies are needed to improve language comprehension skills with palpation techniques. The babbling technique is an alternative in this learning because the syllable repetition technique makes deaf children able to think, combine letters into word structures. So that children can understand the word well. This research is based on the barriers of deaf children in understanding language, so a learning strategy is made with the results of field needs analysis. The method used uses research and development (R&D). The results of the field data show that learning strategies using babbling techniques can improve the ability of deaf children to understand language. This can be seen from the increase in the ability of deaf children to recognize syllables, words and being able to understand stories before and after being given learning through the babbling technique. Therefore, through appropriate learning strategies, they can develop their potential comprehensively

Everyday Life and Everyday Communication in Coronavirus Capitalism

In 2020, the coronavirus crisis ruptured societies and their everyday life around the globe. This article is a contribution to critically theorising the changes societies have undergone in the light of the coronavirus crisis. It asks: How have everyday life and everyday communication changed in the coronavirus crisis? How does capitalism shape everyday life and everyday communication during this crisis? Section 2 focuses on how social space, everyday life, and everyday communication have changed in the coronavirus crisis. Section 3 focuses on the communication of ideology in the context of coronavirus by analysing the communication of coronavirus conspiracy stories and false coronavirus news. The coronavirus crisis is an existential crisis of humanity and society. It radically confronts humans with death and the fear of death. This collective experience can on the one hand result in new forms of solidarity and socialism or can on the other hand, if ideology and the far-right prevail, advance war and fascism. Political action and political economy are decisive factors in such a profound crisis that shatters society and everyday life

Translating Neuralese

Several approaches have recently been proposed for learning decentralized deep multiagent policies that coordinate via a differentiable communication channel. While these policies are effective for many tasks, interpretation of their induced communication strategies has remained a challenge. Here we propose to interpret agents' messages by translating them. Unlike in typical machine translation problems, we have no parallel data to learn from. Instead we develop a translation model based on the insight that agent messages and natural language strings mean the same thing if they induce the same belief about the world in a listener. We present theoretical guarantees and empirical evidence that our approach preserves both the semantics and pragmatics of messages by ensuring that players communicating through a translation layer do not suffer a substantial loss in reward relative to players with a common language.Comment: Fixes typos and cleans ups some model presentation detail

The Hanabi Challenge: A New Frontier for AI Research

From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performance in challenge domains like Go, Atari, and some variants of poker. As with their predecessors of chess, checkers, and backgammon, these game domains have driven research by providing sophisticated yet well-defined challenges for artificial intelligence practitioners. We continue this tradition by proposing the game of Hanabi as a new challenge domain with novel problems that arise from its combination of purely cooperative gameplay with two to five players and imperfect information. In particular, we argue that Hanabi elevates reasoning about the beliefs and intentions of other agents to the foreground. We believe developing novel techniques for such theory of mind reasoning will not only be crucial for success in Hanabi, but also in broader collaborative efforts, especially those with human partners. To facilitate future research, we introduce the open-source Hanabi Learning Environment, propose an experimental framework for the research community to evaluate algorithmic advances, and assess the performance of current state-of-the-art techniques.Comment: 32 pages, 5 figures, In Press (Artificial Intelligence