Application of a virtual scientific experiment model in different educational contexts

E-learning practice is continuously using experimentation in order to enhance the basic information transfer model where knowledge is passed from the system/ tutors to the students. Boosting student productivity through on-line experimentation is not simple since many organizational, educational and technological issues need to be dealt with. This work describes the application of a Learning Model for Virtual Scientific Experiments (VSEs) in two different scenarios: Information and Communication Technologies and Physics. As part of the first, a VSE for Wireless Sensor Networks was specified and deployed while the second involved the specification and design of a collaborative VSE for physics experiments. Preliminary implementation and deployment results are also discussed

A protocol for multidimensional assessment in university online courses

This paper presents a protocol developed for multidimensional assessment for e-learning experiences based on socioconstructivist principles. First, we describe the structure of an e-learning course where the protocol as been developed and tested; second, we describe the protocol and how it has been used in that course. We believe this protocol is a useful tool for a twofold reason: on the one hand, it takes into account the complexity of the pedagogical architecture of socioconstructivist courses – where many teaching models and learning strategies are mixed, different individual and collaborative activities are proposed and students are asked to build a variety of final products. On the other hand, it promotes students’ assumption of responsibility and active role, with a particular reference to self-assessment competences. Instances of how we have applied the protocol will be described in the paper. The assessment protocol we present here is complex, nevertheless flexible. Therefore, although we have tested it in a specific course, it could also be used in similar or simpler course

A Social Learning Space Grid for MOOCs: Exploring a FutureLearn Case

Collaborative and social engagement promote active learning through knowledge intensive interactions. Massive Open Online Courses (MOOCs) are dynamic and diversified learning spaces with varying factors like flexible time frames, student count, demographics requiring higher engagement and motivation to continue learning and for designers to implement novel pedagogies including collaborative learning activities. This paper looks into available and potential collaborative and social learning spaces within MOOCs and proposes a social learning space grid that can aid MOOC designers to implement such spaces, considering the related requirements. Furthermore, it describes a MOOC case study incorporating three collaborative and social learning spaces and discusses challenges faced. Interesting lessons learned from the case give an insight on which spaces to be implemented and the scenarios and factors to be considered

Supporting strategic cultural change: The Strathclyde learning technology initiative as a model

This paper describes the strategies being developed at the University of Strathclyde in response to the vision in the Dearing Report of a learning society in which Communication and Information Technology (C&IT) is central to students' learning experiences. The Strathclyde Learning Technology Initiative aims to support strategic change in the development and use of new learning technologies to improve the quality and efficiency of teaching and learning within the University. In order for a major cultural shift in teaching and learning to take effect there are three main areas that need to be addressed: (i) many academics still work within a traditional teaching framework and believe that these methods can simply be transferred to the Web, (ii) students who have been taught in a traditional teaching environment need support in acquiring new learning skills for an electronic learning environment, and (iii) new methods of learning and teaching can only be successfully integrated within the environment of a supporting infrastructure and institutional climate. These key elements are further explored, drawing on the lessons learned from the implementation of the Initiative, and suggestions are made for ways of surmounting the barriers to the uptake of C&IT perceived by academics

Credit assignment in multiple goal embodied visuomotor behavior

The intrinsic complexity of the brain can lead one to set aside issues related to its relationships with the body, but the field of embodied cognition emphasizes that understanding brain function at the system level requires one to address the role of the brain-body interface. It has only recently been appreciated that this interface performs huge amounts of computation that does not have to be repeated by the brain, and thus affords the brain great simplifications in its representations. In effect the brain’s abstract states can refer to coded representations of the world created by the body. But even if the brain can communicate with the world through abstractions, the severe speed limitations in its neural circuitry mean that vast amounts of indexing must be performed during development so that appropriate behavioral responses can be rapidly accessed. One way this could happen would be if the brain used a decomposition whereby behavioral primitives could be quickly accessed and combined. This realization motivates our study of independent sensorimotor task solvers, which we call modules, in directing behavior. The issue we focus on herein is how an embodied agent can learn to calibrate such individual visuomotor modules while pursuing multiple goals. The biologically plausible standard for module programming is that of reinforcement given during exploration of the environment. However this formulation contains a substantial issue when sensorimotor modules are used in combination: The credit for their overall performance must be divided amongst them. We show that this problem can be solved and that diverse task combinations are beneficial in learning and not a complication, as usually assumed. Our simulations show that fast algorithms are available that allot credit correctly and are insensitive to measurement noise

Sustainable energy for whom? Governing pro-poor, low-carbon pathways to development: lessons from solar PV in Kenya

Using a combination of insights from innovation studies, sociotechnical transitions theory and the STEPS pathways approach, this paper analyses the evolution of the Kenyan photovoltaics (PV) market. Considered by many to be an exemplar of private sector led development, the Kenyan PV market has witnessed the adoption of more than 300,000 solar home systems and over 100,000 solar portable lights. The notion of an entrepreneurially driven unsubsidised solar market has proved to be a powerful narrative amongst development actors who, paradoxically, have provided millions of dollars of funding to encourage the market’s development. We argue that this donor support has been critical to the success of the market, but not simply by helping to create an enabling environment in which entrepreneurs can flourish. Donor assistance has been critical in supporting a range of actors to build the elements of a PV innovation system by providing active protection for experimentation, network-building, and the construction of shared visions amongst actors throughout supply chains and amongst users.This analysis gives important clues for designing climate and development policies, with implications for the governance of energy access pathways that are inclusive of poor and marginalised groups in low income countries