Online Learning and Experimentation via Interactive Learning Resources

Recent trends in online learning like Massive Open Online Courses (MOOCs) and Open Educational Resources (OERs) are changing the landscape in the education sector by allowing learners to self-regulate their learning and providing them with an abundant amount of free learning materials. This paper presents FORGE, a new European initiative for online learning and experimentation via interactive learning resources. FORGE provides learners and educators with access to world- class facilities and high quality learning materials, thus enabling them to carry out experiments on e.g. new Internet protocols. In turn, this supports constructivist and self-regulated learning approaches, through the use of interactive learning resources, such as eBooks

Modeling cloud resources using machine learning

Cloud computing is a new Internet infrastructure paradigm where management optimization has become a challenge to be solved, as all current management systems are human-driven or ad-hoc automatic systems that must be tuned manually by experts. Management of cloud resources require accurate information about all the elements involved (host machines, resources, offered services, and clients), and some of this information can only be obtained a posteriori. Here we present the cloud and part of its architecture as a new scenario where data mining and machine learning can be applied to discover information and improve its management thanks to modeling and prediction. As a novel case of study we show in this work the modeling of basic cloud resources using machine learning, predicting resource requirements from context information like amount of load and clients, and also predicting the quality of service from resource planning, in order to feed cloud schedulers. Further, this work is an important part of our ongoing research program, where accurate models and predictors are essential to optimize cloud management autonomic systems.Postprint (published version

Semantic annotation of multilingual learning objects based on a domain ontology

One of the important tasks in the use of learning resources in e-learning is the necessity to annotate learning objects with appropriate metadata. However, annotating resources by hand is time consuming and difficult. Here we explore the problem of automatic extraction of metadata for description of learning resources. First, theoretical constraints for gathering certain types of metadata important for e-learning systems are discussed. Our approach to annotation is then outlined. This is based on a domain ontology, which allows us to annotate learning resources in a language independent way.We are motivated by the fact that the leading providers of learning content in various domains are often spread across countries speaking different languages. As a result, cross-language annotation can facilitate accessibility, sharing and reuse of learning resources

Accessibility and adaptability of learning objects: responding to metadata, learning patterns and profiles of needs and preferences

The case for learning patterns as a design method for accessible and adaptable learning objects is explored. Patterns and templates for the design of learning objects can be derived from successful existing learning resources. These patterns can then be reused in the design of new learning objects. We argue that by attending to criteria for reuse in the definition of these patterns and in the subsequent design of new learning objects, those new resources can be themselves reusable and also adaptable to different learning contexts. Finally, if the patterns identified can be implemented as templates for standard authoring tools, the design of effective, reusable and adaptable resources can be made available to those with limited skills in multimedia authoring and result in learning resources that are more widely accessible

A learning design toolkit to create pedagogically effective learning activities

Despite the plethora of Information and Communication Technologies (ICT) tools and resources available, practitioners are still not making effective use of e-learning to enrich the student experience. This article describes a learning design toolkit which guides practitioners through the process of creating pedagogically informed learning activities which make effective use of appropriate tools and resources. This work is part of a digital libraries project in which teaching staff at two universities in the UK and two in the USA are collaborating to share e-learning resources in the subject domains of Physical, Environmental and Human Geography. Finding, or creating, suitable e-learning resources and embedding them in well designed learning activities can be both challenging and time consuming. Sharing and adapting effective designs and solutions is both a stimulant and a time saver. This article describes the background to the specification of a learning activities design toolkit to support teachers as they create or adapt e-learning activities. This uses a model of pedagogical approaches as a basis for developing effective learning design plans and illustrates its use. The authors share their definition of a learning activity and taxonomies for the constituent elements. Real examples are discussed to illustrate their approach

Object lessons : a learning object approach to e-learning for social work education

Learning objects are bite-sized digital learning resources designed to tackle the e-learning adoption problem by virtue of their scale, adaptability, and interoperability. The learning object approach advocates the creation of small e-learning resources rather than whole courses: resources that can be mixed and matched; used in a traditional or online learning environment; and adapted for reuse in other discipline areas and in other countries. Storing learning objects within a subject specific digital repository to enable search, discovery, sharing and use adds considerable value to the model. This paper explores the rationale for a learning object approach to e-learning and reflects on early experiences in developing a national learning object repository for social work education in Scotland

Virtual reality learning resources in building pathology

Building surveying students must be capable of analysing the condition of buildings and their components and, where this falls below an agreed standard, make recommendations for their repair. Hence university courses must provide opportunities for students to learn about the main causes of deterioration. Fieldwork exercises are essential but there are often problems locating appropriate buildings, programming visits to satisfy course timetables and complying with health and safety requirements. Whilst virtual surveys of existing buildings are not considered to be a substitute for real-life educational visits, this paper critically examines the development of a novel building pathology educational resource. Alternative technologies for creating digital panoramas are examined, prior to the development of an interactive case study, which enables students to conduct an on-line survey of a Grade 1 listed 16th Century hunting lodge. 360 degree panoramic scenes are linked with hot spots to create an interactive virtual tour of the building. The paper considers how virtual resources can be embedded within the curriculum, gauges tutor reaction to case study materials and identifies opportunities for the development of a suite of building pathology educational media-rich learning materials

Volitional-supported learning with Open Educational Resources

User-centred web applications such as Wikis or Weblogs are becoming increasingly popular. In contrast to the early Internet, these applications especially focus on the participation of people, on the creation, sharing and modifying of content and on an easy access. Based on this, they are assumed to contribute to self-regulated and life-long learning which is on the agenda of most industrialized countries throughout Europe. However, as shown in the recently published road mapping work of the Open E-Learning Content Observatory Services (OLCOS) project, comprehensive frameworks for learning processes that make use of Open Educational Resources (OER) are missing. In particular it remains unclear how OER can actually contribute to forms of self-regulated learning since this requires a great deal of volitional competence, i.e. the ability to deal with distractions and fluctuations of motivation or emotion which is therefore regarded as a crucial factor (Deimann & Keller, 2006). In this regard, the Volitional Design Model (Deimann, 2007) provides a useful instrument to unfold the potentials of OER by (1) targeting key aspects of the learner’s behaviour in the learning process, and (2) suggesting powerful strategies to tackle decreased motivation. An exemplified volitional design approach using OER will be discussed. (DIPF/Orig.

HOW TO BETTER MEET OUR STUDENTSï¿1/2 LEARNING STYLE THROUGH THE COURSE RESOURCES

Publishers of the course resources for business higher education are willing to help professors and instructors to develop the learning process. An important part of the learning process is affected by the each studentï¿1/2s learning style. Our paper focuses on how meeting studentsï¿1/2 learning styles can be done through the course resources we use. The scope of the paper is to identify a way to link studentsï¿1/2 learning preferences with the available course resources. The literature on this topic is limited, the interest in research being focused less on resources used and their useful diversity. We heavily relied in our research on the preliminary results of a market research study conducted by the Higher Education Group from Harvard Business Publishing among instructors who use resources from Harvard Business Schoolï¿1/2s library. The research methodology is based on the case study method. We tried to recommend a treatment to our students and then analyze the effect of the applied treatment. The main instruments used are the VARK test followed by tailored recommendations for each student. The first conclusion of the research is that identifying the learning styles is extremely useful for students in terms of learning process. Knowing and exploiting their particular learning style helped students to maximize their learning. The second conclusion is that recommending resources based on learning styles is useful because it really helps students to learn in their own styles. The results of our paper show, firstly, that learning process could be facilitated by professorsï¿1/2 directly identifying studentsï¿1/2 learning styles. Secondly, our findings underline the importance of having a diversity of resources available for our students, and to be able to offer them a constructive solution regarding their learning styles. Moreover, our contributions are reflected in the methodology we used in linking the learning styles with the course resources and in building our personal approach in issuing our students individual recommendations on study strategy based upon their learning styles.learning process, course resources, learning styles, VARK test physiological dimension of learning