Estudio de los Portafolios en el Practicum: An álisis de un PLE - Portafolio

The specialized literature agrees to notice that even existing some conditions, it is not a generalized methodology at universities. In the new grades and knowledge areas is found the subject of external practices that would be able to show conditions for using the portfolios. Whereas, there are some questions in the educational area: What conditions exist for the use of the portfolios in the Practicum of the education grades in Spain? What level of utilization are evident? What problems of understanding, the students express about the documentation of evidences in portfolios? The research performs a mixed methodology: a first quantitative study with descriptive methodology, interview to 31 coordinators of Practicum of all grades in 10 (20%) Faculty of Education, along with a qualitative study and content analysis of 256 Practicum guides of all grades of 36 (72%) Faculties of Education of public universities in Spain. A second case study, perform a content analysis of 592 annotations of 212 students to show and evaluate the evidences in ePortfolios of the Practicum of the degree of Pedagogy. The results reveal that there are 11 students per tutor 2,88h medium for tutoring and assess ePortfolios. Being mail (between 37.77% and 46.66%) followed by the platforms most used technologies. The eRúbricas and video annotations help document the evidence, however, students still show difficulties in some competencesFunded by Spanish Plan of R+D+i Excellence (2014-16) No. EDU2013-41974P. Project entitled: “Study of the Impact of Federated eRubrics on Assessing Competences in the Practicum”. http://goo.gl/u07aN

Chapter 5: Evaluation

The OTiS (Online Teaching in Scotland) programme, run by the now defunct Scotcit programme, ran an International e-Workshop on Developing Online Tutoring Skills which was held between 8–12 May 2000. It was organised by Heriot–Watt University, Edinburgh and The Robert Gordon University, Aberdeen, UK. Out of this workshop came the seminal Online Tutoring E-Book, a generic primer on e-learning pedagogy and methodology, full of practical implementation guidelines. Although the Scotcit programme ended some years ago, the E-Book has been copied to the SONET site as a series of PDF files, which are now available via the ALT Open Access Repository. The editor, Carol Higgison, is currently working in e-learning at the University of Bradford (see her staff profile) and is the Chair of the Association for Learning Technology (ALT)

To What Extent Can Individualisation in Terms of Different Types of Mode Improve Learning Outcomes and Learner Satisfaction? A Pre-study

With the latest technological developments and associated new possibilities in teaching, the personalisation of learning is gaining more and more importance. It assumes that individual learning experiences and results could generally be improved when personal learning preferences are considered. To do justice to the complexity of the personalisation possibilities of teaching and learning processes, we illustrate the components of learning and teaching in the digital environment and their interdependencies in an initial model. Furthermore, in a pre-study, we investigate the relationships between the learner's ability to (digital) self-organise, the learner’s prior- knowledge learning in different variants of mode and learning outcomes as one part of this model. With this pre-study, we are taking the first step towards a holistic model of teaching and learning in digital environments

Collaborative trails in e-learning environments

This deliverable focuses on collaboration within groups of learners, and hence collaborative trails. We begin by reviewing the theoretical background to collaborative learning and looking at the kinds of support that computers can give to groups of learners working collaboratively, and then look more deeply at some of the issues in designing environments to support collaborative learning trails and at tools and techniques, including collaborative filtering, that can be used for analysing collaborative trails. We then review the state-of-the-art in supporting collaborative learning in three different areas – experimental academic systems, systems using mobile technology (which are also generally academic), and commercially available systems. The final part of the deliverable presents three scenarios that show where technology that supports groups working collaboratively and producing collaborative trails may be heading in the near future

A systematic review of pedagogical approaches that can effectively include children with special educational needs in mainstream classrooms with a particular focus on peer group interactive approaches

The broad background to this review is a long history of concepts of special pupils and special education, and a faith in special pedagogical approaches. The rise of inclusive schools and some important critiques of special pedagogy (e.g. Hart, 1996; Norwich and Lewis, 2001; Thomas and Loxley, 2001) have raised the profile of teaching approaches that ordinary teachers can and do use to include children with special educational needs in mainstream classrooms. Inclusive education itself is increasingly conceived as being about the quality of learning and participation that goes on in inclusive schools rather than simplistic matters of where children are place

AI-enabled adaptive learning systems: A systematic mapping of the literature

Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive learning systems was performed in this work. A total of 147 studies published between 2014 and 2020 were analysed. The major findings and contributions of this paper include the identification of the types of AI-enabled learning interventions used, a visualisation of the co-occurrences of authors associated with major research themes in AI-enabled learning systems and a review of common analytical methods and related techniques utilised in such learning systems. This mapping can serve as a guide for future studies on how to better design AI-enabled learning systems to solve specific learning problems and improve users’ learning experiences.publishedVersio

Exploiting connectedness in the informatics curriculum

The power of modern communication technology gives us an opportunity, as Informatics educators, to enhance our ability to develop our students' skills in virtual teamworking. We discuss why virtual teamworking is as relevant for students in traditional campus-based universities as it is in a distance learning context. We highlight some of the questions to be answered, and some of the problems to be overcome, in the context of our experiences in designing and delivering a virtual teamworking course at the UK Open University

Panning for gold: designing pedagogically-inspired learning nuggets

Tools to support teachers and learning technologists in the creation of effective learning designs are currently in their infancy. This paper describes a metadata model, devised to assist in the conception and design of new learning activities, that has been developed, used and evaluated over a period of three years. The online tool that embodies this model was not originally intended to produce runtime executable code such as IMS-LD, but rather focussed on assisting teachers in the thought processes involved in selecting appropriate methods, tools, student activities and assessments to suit the required learning objectives. Subsequently, we have modified the RELOAD editor such that the output from our tool can be translated into IMS-LD. The contribution of this paper is the comparison of our data model with that of IMS-LD, and the analysis of how each can inform the other