71,591 research outputs found
Recommended from our members
Designing for change: mash-up personal learning environments
Institutions for formal education and most work places are equipped today with at least some kind of tools that bring together people and content artefacts in learning activities to support them in constructing and processing information and knowledge. For almost half a century, science and practice have been discussing models on how to bring personalisation through digital means to these environments. Learning environments and their construction as well as maintenance makes up the most crucial part of the learning process and the desired learning outcomes and theories should take this into account. Instruction itself as the predominant paradigm has to step down.
The learning environment is an (if not 'the�) important outcome of a learning process, not just a stage to perform a 'learning play'. For these good reasons, we therefore consider instructional design theories to be flawed.
In this article we first clarify key concepts and assumptions for personalised learning environments. Afterwards, we summarise our critique on the contemporary models for personalised adaptive learning. Subsequently, we propose our alternative, i.e. the concept of a mash-up personal learning environment that provides adaptation mechanisms for learning environment construction and maintenance. The web application mash-up solution allows learners to reuse existing (web-based) tools plus services.
Our alternative, LISL is a design language model for creating, managing, maintaining, and learning about learning environment design; it is complemented by a proof of concept, the MUPPLE platform. We demonstrate this approach with a prototypical implementation and a – we think – comprehensible example. Finally, we round up the article with a discussion on possible extensions of this new model and open problems
Student Perceptions of Enhancing the Internship Experience for Online Principal Preparation Programs
Principal preparation programs understand the need for relevant internship activities that bridge the gap between theory and practice (Anast-May, Buckner, & Geer, 2011; Darling-Hammond, LaPointe, Meyerson, Orr, & Cohen (2007). Principal preparation programs utilizing distance technology are also charged with meeting this expectation and the electronic learning technologies have changed learning from restrictive to flexible, accessible, and innovative (Tseng & Gardner, 2016). The internship is a widely accepted program component of principal preparation that provides the student with actual administrative experience during the certification process; however, despite the mandates from national accreditation organizations and state certification agencies, the literature is replete with criticisms concerning the effectiveness of the internship experience (Cheney & Davis, 2011; Darling-Hammond et al., 2007; Fry, Bottoms, & O’Neill, 2005; Perez et al., 2011). Limited data in the form of student feedback, especially as it pertains to learner perceptions of the internship experience, have been collected (Gordon, Oliver, & Solis, 2016). According to Thiede (2012), it is important for faculty to seek out and study what students are thinking and saying about online education as most higher education institutions’ future enrollments may be predicated upon quality online courses
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
E-Learning for Teachers and Trainers : Innovative Practices, Skills and Competences
Reproduction is authorised provided the source is acknowledged.Final Published versio
Systems approach to engineering education design
[Abstract]:
The design and delivery of effective engineering education to diverse cohorts of adult learners is challenging. The sheer volume and diversity of published literature relating to the scholarship of teaching and learning presents a challenge to educational designers and teaching practitioners alike. A systems approach to design and development, incorporating key principles from the literature, can assist practitioners (particularly those new to teaching) in the effective design and delivery of technical courses. This paper presents a research-based educational lifecycle model to support the design of engineering education. The paper then describes a requirements-driven development methodology that has been applied successfully to the design and delivery of a number of technical courses involving different cohorts of adult learners. The application of the methodology to development of an introductory radar systems course is used as a case study throughout the paper
- …