scholarly journals Technology enhanced learning in the MENA region: Introduction to the Special Issue

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Rob Miles ◽  
Sebah Al-Ali ◽  
Tendai Charles ◽  
Christopher Hill ◽  
Brett Bligh
Keyword(s):  
Technology Enhanced Learning ◽  
Special Issue ◽  
Mena Region ◽  
Enhanced Learning

scholarly journals Technology enhanced learning in the MENA region: Introduction to the Special Issue

2021 ◽  
Author(s):  
Rob Miles ◽  
Sebah Al-Ali ◽  
Tendai Charles ◽  
Christopher Hill ◽  
Brett Bligh
Keyword(s):  
Technology Enhanced Learning ◽  
Special Issue ◽  
Mena Region ◽  
Enhanced Learning

scholarly journals Technology-Enhanced Learning and the Pursuit of Sustainability

2019 ◽  
Vol 11 (15) ◽  
pp. 4022 ◽  
Author(s):  
Anna Visvizi ◽  
Linda Daniela
Keyword(s):  
Teaching And Learning ◽  
Education Sector ◽  
Technology Enhanced Learning ◽  
Approaches To Teaching ◽  
Special Issue ◽  
Technological Revolution ◽  
Technological Advances ◽  
Entire Society ◽  
Enhanced Learning ◽  
Key Questions

The inroads of sophisticated technologies and related applications in the field of education trigger several developments related not only to the processes of managing education institutions across levels and domains but also pertaining to approaches to teaching and learning. As advances in technology impact all aspects of life, when adopting and adapting to these advances, the education sector is expected to respond to issues and processes that current technological revolution triggers in the entire society. Hence, effective and forward-looking manner of managing technological advances in the education sector today is a necessity to ensure sustainability of that sector in the future. The objective of this Special Issue was to reflect on these issues, to identify the key questions that have to be addressed in this context, and to encourage new critical insights into these developments.

scholarly journals Editorial: Technology enhanced learning: Moving theory into practice

2010 ◽  
pp. 1-5
Keyword(s):  
South Africa ◽  
Social Computing ◽  
Acceptance Rate ◽  
Technology Enhanced Learning ◽  
Special Issue ◽  
E Learning ◽  
International Event ◽  
Enhanced Learning

TELearn 2009 has successfully attracted over 91 submissions, from 4 continents, 11 countries. Half of the submissions came from the outside of Taiwan, which indicates TELearn has become a truly international event. This year, TELearn accept 18 full papers, the acceptance rate of full papers is less than 20%. From the 18 full papers, 5 best papers from Japan, Taiwan, USA, Finland and South Africa were included in this special issue to contribute the understanding of social computing in e-learning and raise potential questions which will require reflection.

scholarly journals Special Issue on Mobile AR & VR: Integrating SOTEL in Learning Design

2017 ◽  
Vol 33 (6) ◽  
Author(s):  
Thomas Cochrane ◽  
Helen Farley
Keyword(s):  
Virtual Reality ◽  
Technology Enhanced Learning ◽  
Learning Design ◽  
Mobile Augmented Reality ◽  
Special Issue ◽  
Educational Impact ◽  
Critical Issues ◽  
Solid Foundation ◽  
Mobile Ar ◽  
Enhanced Learning

This special issue of AJET explores the critical educational use of the recently popularized technologies of mobile augmented reality (AR) and mobile virtual reality (VR). The advent of Pokemon Go brought the world’s awareness of mobile AR to a brief climax, and the hype surrounding the rise of affordable virtual reality technologies has been driven by social media giants Google and Facebook, and subsequent uptake by the main smartphone manufacturers. With the ubiquity of smartphone ownership among our students this presents a unique opportunity to explore the educational impact of these symbiotic technologies and their emergent ecosystems. While it is early days for research in these domains, we were interested in exploring beyond the technological hype to finding examples of integrating these technologies within learning designs that scaffold learner-generated content and contexts based upon a solid foundation of the scholarship of technology enhanced learning. The six articles in this special issue give us insights into these critical issues.

scholarly journals Special Issue on Learning Design Research: Mapping the terrain

2018 ◽  
Vol 34 (2) ◽  
Author(s):  
Eva Dobozy ◽  
Leanne Cameron
Keyword(s):  
Educational Research ◽  
Design Research ◽  
Technology Enhanced Learning ◽  
Learning Design ◽  
Integrated Process ◽  
Special Issue ◽  
Knowledge And Skills ◽  
Research And Practice ◽  
Learning And Teaching ◽  
Enhanced Learning

Learning Design as a field of educational research and practice is gaining traction internationally. Not only is Learning Design now acknowledged as a complex and integrated process, demanding specialised knowledge and skills, it is a field of technology enhanced learning and teaching that is forward looking and globally focused. This special issue is unable to provide a unified position of what Learning Design is or resolve the debate, but it is able to contribute to a better understanding of the complexity of this field of educational research and practice. It also showcases some of the cutting edge work currently conducted internationally in Learning Design research and development

scholarly journals Advanced Techniques in the Analysis and Prediction of Students’ Behaviour in Technology-Enhanced Learning Contexts

2020 ◽  
Vol 10 (18) ◽  
pp. 6178
Author(s):  
Juan A. Gómez-Pulido ◽  
Young Park ◽  
Ricardo Soto
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Intelligent Systems ◽  
Technology Enhanced Learning ◽  
Learning Tools ◽  
Special Issue ◽  
Learning Context ◽  
Learning Collaborative ◽  
Academic Field ◽  
Enhanced Learning

The development and promotion of teaching-enhanced learning tools in the academic field is leading to the collection of a large amount of data generated from the usual activity of students and teachers. The analysis of these data is an opportunity to improve many aspects of the learning process: recommendations of activities, dropout prediction, performance and knowledge analysis, resources optimization, etc. However, these improvements would not be possible without the application of computer science techniques that have demonstrated a high effectiveness for this purpose: data mining, big data, machine learning, deep learning, collaborative filtering, and recommender systems, among other fields related to intelligent systems. This Special Issue provides 17 papers that show advances in the analysis, prediction, and recommendation of applications propelled by artificial intelligence, big data, and machine learning in the teaching-enhanced learning context.

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