Toward a Personal Learning Environment Framework

2012 ◽  
pp. 20-40 ◽  
Author(s):  
Mohamed Amine Chatti ◽  
Mohammad Ridwan Agustiawan ◽  
Matthias Jarke ◽  
Marcus Specht
Keyword(s):  
Learning Environment ◽  
Digital Media ◽  
Knowledge Society ◽  
Technology Enhanced Learning ◽  
Personal Learning ◽  
Effective Learning ◽  
Personal Learning Environment ◽  
Learning Content ◽  
Enhanced Learning ◽  
Fundamental Shift

Over the past decade, it has been argued that technology-enhanced learning (TEL) could respond to the needs of the new knowledge society and transform learning. However, despite isolated achievements, TEL has not succeeded in revolutionizing education and learning processes. Most current TEL initiatives still take a centralized technology-push approach in which learning content is pushed to a predefined group of learners in closed environments. A fundamental shift toward a more open and learner-pull model for learning is needed. Recently, the Personal Learning Environment (PLE) concept has emerged to open new doors for more effective learning and overcome many of the limitations of traditional TEL models. In this paper, the authors present theoretical, design, implementation, and evaluation details of PLEF, a framework for mashup personal learning environments. The primary aim of PLEF is to help learners create custom learning mashups using a wide variety of digital media and data.

Toward a Personal Learning Environment Framework

2010 ◽  
Vol 1 (4) ◽  
pp. 66-85 ◽  
Author(s):  
Mohamed Amine Chatti ◽  
Mohammad Ridwan Agustiawan ◽  
Matthias Jarke ◽  
Marcus Specht
Keyword(s):  
Learning Environment ◽  
Digital Media ◽  
Knowledge Society ◽  
Technology Enhanced Learning ◽  
Personal Learning ◽  
Effective Learning ◽  
Personal Learning Environment ◽  
Learning Content ◽  
Enhanced Learning ◽  
Fundamental Shift

Over the past decade, it has been argued that technology-enhanced learning (TEL) could respond to the needs of the new knowledge society and transform learning. However, despite isolated achievements, TEL has not succeeded in revolutionizing education and learning processes. Most current TEL initiatives still take a centralized technology-push approach in which learning content is pushed to a predefined group of learners in closed environments. A fundamental shift toward a more open and learner-pull model for learning is needed. Recently, the Personal Learning Environment (PLE) concept has emerged to open new doors for more effective learning and overcome many of the limitations of traditional TEL models. In this paper, the authors present theoretical, design, implementation, and evaluation details of PLEF, a framework for mashup personal learning environments. The primary aim of PLEF is to help learners create custom learning mashups using a wide variety of digital media and data.

Mash-Up Personal Learning Environments

2011 ◽  
pp. 126-149 ◽  
Author(s):  
Fridolin Wild ◽  
Felix Mödritscher ◽  
Steinn Sigurdarson
Keyword(s):  
Learning Environment ◽  
Learning Environments ◽  
Technology Enhanced Learning ◽  
Environment Design ◽  
End User ◽  
New Approach ◽  
Personal Learning ◽  
Personal Learning Environment ◽  
Learning Environment Design ◽  
Enhanced Learning

In this chapter, the authors formulate a critique on the contemporary models and theories of learning environment design, while at the same time proposing a new approach that puts the learner centre stage. It will be argued that this approach is more apt to explain technology-enhanced learning and is more helpful in guiding (even end-user driven) engineering and maintenance of personalized learning environments. The authors call this new approach a mash-up personal learning environment (MUPPLE) and it is a vision (and prototype) of the future of personalized, networked, and collaborative learning.

scholarly journals A Social Web-Based Personalized Learning Environment: Proposing a PLE

2020 ◽  
Vol 8 (5) ◽  
pp. 3420-3424
Keyword(s):  
Learning Environment ◽  
Object Representation ◽  
Learning Preferences ◽  
Technology Enhanced Learning ◽  
Knowledge Modeling ◽  
Web Based ◽  
Personal Learning ◽  
Personalised Learning ◽  
E Learning ◽  
Enhanced Learning

The nature of e-learning has been advanced in the manner of how it structures with the advance of Web 2.0 and 3.0. Contemporary educational hypermedia is slowly but surely providing personalised user experience. Research in technology-enhanced learning is now more student oriented, in other words it is as a personalised learning environment. But, according to the progress of projects which has been published, it has been said that personal learning environment is left as a theory and the field has been faded. In this paper we have proposed our model by providing learners with three learning object representation options. In which users will have options to get either up to date content or mostly advanced content first or according to their learning preferences. Domain and knowledge modeling features are also detailed. Finally, empirical results for the affect values of the model were presented.

scholarly journals Development and Validation of Technology Enhanced Learning Framework Driven by Flipped Methodology Learning Environment

2019 ◽  
Vol 38 (3) ◽  
pp. 667-686
Author(s):  
Kifayat Ullah ◽  
Syed Tasweer Hussain Shah ◽  
Syed Muhammad Ali ◽  
Alveena Khan
Keyword(s):  
Educational Technology ◽  
Learning Environment ◽  
Learning Strategy ◽  
Technology Enhanced Learning ◽  
Learning Approach ◽  
Flipped Learning ◽  
Effective Learning ◽  
Response System ◽  
The Impact ◽  
Enhanced Learning

Technology has contributed in every aspect of society. Academics is not an exception. The management of educational technology has come up with exceptional results in the new paradigm of learning environment. In recent years, flipped learning approach has gained much popularity and has been more widely accepted and adopted as a driving force for enabling active learning. This paper defines the formulation of novel framework, inspired by flipped learning approach, leading to effective learning environment. It also describes a novel extension of student-centered learning by integrating educational technology, technology enhanced learning strategy, student questions generation and instant response system into the higher education. It also examines the impact of this extension on student learning engagement, motivation, attitude, and calculating the impact of acceptance for unconventional education on the overall system. The result indicated that effective learning environment has a significant positive effect on learning motivation and engagement. The result showed that the constructs of education technology, technology enhanced learning strategy, students question generation and instance response system in the presence of “impact of acceptance for unconventional education” has an effect on formulating effective learning environment. Research recommendations are given on the basis of results of the study.

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