A Cooperative Development System for an Interactive Introductory Programming Course

We present a system for a cooperative development of computer programs that was created for the lab sessions of an introductory programming course at the University of Ljubljana, Slovenia. The system relieved the students from the tedious task of retyping programs developed by the teaching assistant and enabled them to cooperate with the teaching assistant in solving programming problems. We thus made the lab sessions more efficient and interactive and brought them closer to the spirit of active learning approaches

Spatio-temporal learning with the online finite and infinite echo-state Gaussian processes

Successful biological systems adapt to change. In this paper, we are principally concerned with adaptive systems that operate in environments where data arrives sequentially and is multivariate in nature, for example, sensory streams in robotic systems. We contribute two reservoir inspired methods: 1) the online echostate Gaussian process (OESGP) and 2) its infinite variant, the online infinite echostate Gaussian process (OIESGP) Both algorithms are iterative fixed-budget methods that learn from noisy time series. In particular, the OESGP combines the echo-state network with Bayesian online learning for Gaussian processes. Extending this to infinite reservoirs yields the OIESGP, which uses a novel recursive kernel with automatic relevance determination that enables spatial and temporal feature weighting. When fused with stochastic natural gradient descent, the kernel hyperparameters are iteratively adapted to better model the target system. Furthermore, insights into the underlying system can be gleamed from inspection of the resulting hyperparameters. Experiments on noisy benchmark problems (one-step prediction and system identification) demonstrate that our methods yield high accuracies relative to state-of-the-art methods, and standard kernels with sliding windows, particularly on problems with irrelevant dimensions. In addition, we describe two case studies in robotic learning-by-demonstration involving the Nao humanoid robot and the Assistive Robot Transport for Youngsters (ARTY) smart wheelchair

Multisensory interactive technologies for primary education: From science to technology

While technology is increasingly used in the classroom, we observe at the same time that making teachers and students accept it is more difficult than expected. In this work, we focus on multisensory technologies and we argue that the intersection between current challenges in pedagogical practices and recent scientific evidence opens novel opportunities for these technologies to bring a significant benefit to the learning process. In our view, multisensory technologies are ideal for effectively supporting an embodied and enactive pedagogical approach exploiting the best-suited sensory modality to teach a concept at school. This represents a great opportunity for designing technologies, which are both grounded on robust scientific evidence and tailored to the actual needs of teachers and students. Based on our experience in technology-enhanced learning projects, we propose six golden rules we deem important for catching this opportunity and fully exploiting it

Mindful reflexivity: Unpacking the process of transformative learning in mindfulness and discernment

Can spiritual practice encourage transformative learning? In this article, we unpack how spiritual practices from the Buddhist tradition—mindfulness—and the Quaker tradition—discernment—encourage the attainment of moral reflexivity and the capacity to transform self in individual and relational organizational contexts, respectively. We also show how moral reflexivity and self-transformation are mutually reinforcing and promote a transformational cycle of management learning. We propose that “mindful reflexivity”, a foundational model of spiritually informed moral reflexivity, can contribute to new ways of management learning through its context sensitivity and ethical orientation to foster the kinds of reflexivity needed for responsible management. Our article concludes with implications for management learning theory and practice, and we offer pathways for future research

Grounding Symbols in Multi-Modal Instructions

As robots begin to cohabit with humans in semi-structured environments, the need arises to understand instructions involving rich variability---for instance, learning to ground symbols in the physical world. Realistically, this task must cope with small datasets consisting of a particular users' contextual assignment of meaning to terms. We present a method for processing a raw stream of cross-modal input---i.e., linguistic instructions, visual perception of a scene and a concurrent trace of 3D eye tracking fixations---to produce the segmentation of objects with a correspondent association to high-level concepts. To test our framework we present experiments in a table-top object manipulation scenario. Our results show our model learns the user's notion of colour and shape from a small number of physical demonstrations, generalising to identifying physical referents for novel combinations of the words.Comment: 9 pages, 8 figures, To appear in the Proceedings of the ACL workshop Language Grounding for Robotics, Vancouver, Canad

Algorythmics. Technologically and artistically enhanced computer science education

A major responsibility of educational systems in the 21st century is to prepare future generations for the challenges involved with the increasing computerization of our everyday lives and to meet the demands of one of the fastest-growing job markets: computing. The goal of our beloved AlgoRythmics project is to promote computing education for all by taking into account the key elements from the most relevant computational thinking definitions. For this purpose, we have created an engaging algorithm visualization environment that is built around a collection of interactive dynamic visualizations illustrating basic computer algorithms. Making computing education attractive for different categories of learners is a challenging initiative. A possible approach might be contextualization. The AlgoRythmics learning environment has been designed along this approach. Since music and dance are relatively close to most people, this environment visualizes searching and sorting algorithms by professional dance choreographies (folkdance, flamenco, ballet). The “dance floor” we have created is an interactive and intuitive user interface which guides learners from dance to code. From the perspective of the teaching-learning process, the most important features of the environment are its unified, artistically enhanced, human-movement-effect-enriched, multisensory, and interactive character. What is this book about? It is about the AlgoRythmics universe. Of course, we have not dreamt up a complex teaching-learning tool and the attached didactical methods overnight. The AlgoRythmics project has its own particular history. Through this book, we invite the reader to accompany us as we virtually relive the AlgoRythmics adventure

Towards an Aesthetic Epistemology: Transforming Thinking through Cybernetic Epistemology and Anthroposophy

The complexity, subtlety, interlinking, and scale of many problems faced individually and collectively in today's rapidly changing world requires an epistemology--a way of thinking about our knowing--capable of facilitating new kinds of responses that avoid recapitulation of old ways of thinking and living. Epistemology, which implicitly provides the basis for engagement with the world via the fundamental act of distinction, must therefore be included as a central facet of any practical attempts at self/world transformation. We need to change how we think, not just what we think. The new epistemology needs to be of a higher order than the source of the problems we face. This theoretical, transdisciplinary dissertation argues that such a new epistemology needs to be recursive and process-oriented. This means that the thoughts about thinking that it produces must explicitly follow the patterns of thinking by which those thoughts are generated. The new epistemology is therefore also phenomenological, requiring the development of a reflexivity in thinking that recursively links across two levels of order--between content and process. The result is an epistemology that is of (and for) the whole human being. It is an enacted (will-imbued) and aesthetic (feeling-permeated) epistemology (thinking-penetrated) that is sensitive to and integrative of material, soul, and spiritual aspects of ourselves and our world. I call this kind of epistemology aesthetic, because its primary characteristic is found in the phenomenological, mutually fructifying and transformative marriage between the capacity for thinking and the capacity for feeling. Its foundations are brought forward through the confluence of multiple domains: cybernetic epistemology, the esoteric epistemology of anthroposophy (the spiritual science of Rudolf Steiner), and the philosophy of the implicit as developed by Eugene Gendlin. The practice of aesthetic epistemology opens new phenomenal domains of experience, shedding light on relations between ontology and epistemology, mind and body, logic and thinking, as well as on the formation (and transformation) of identity, the immanence of thinking in world-processes, the existence of different types of logic, and the nature of beings, of objects, and most importantly of thinking itself and its relationship to spirit