Learning Technology in Context: A Case for the Sociotechnical Interaction Framework as an Analytical Lens for Networked Learning Research

2011 ◽  
pp. 173-187 ◽  
Author(s):  
Linda Creanor ◽  
Steve Walker
Keyword(s):  
Learning Technology ◽  
Networked Learning ◽  
Learning Research

Analyzing the Level of Inclusion of Digital Educational Objects in Eskola 2.0

2013 ◽  
pp. 199-219
Author(s):  
Mª Luz Guenaga ◽  
Iratxe Mentxaka ◽  
Susana Romero ◽  
Andoni Eguíluz
Keyword(s):  
Research Group ◽  
Quality Criteria ◽  
Visual Design ◽  
Learning Technology ◽  
Technological Equipment ◽  
Technology In The Classroom ◽  
Content Structure ◽  
The Future ◽  
Learning Research

The Basque Government has published two calls to create digital educational objects for the programme called Eskola 2.0. After having provided schools with technological equipment, these calls aim to increase the use of learning technology in the classroom. More than 300 didactic sequences have been developed, which vary greatly in visual design, content structure, organization, and pedagogical aspects. Even though accessibility is one of the quality criteria, the reality is that they are hardly accessible and inclusive. DeustoTech Learning research group has carried out a survey of the educational objects approved in these calls up to November 2011. The authors evaluated pedagogical and technological aspects to find out how inclusive they are. In this chapter, they provide the results of the survey and propose a set of guidelines for designing more accessible and inclusive objects in the future.

scholarly journals Learning Analytics for Networked Learning Models

2014 ◽  
Vol 1 (3) ◽  
pp. 191-194
Author(s):  
Srecko Joksimovic ◽  
Dragan Gasevic ◽  
Marek Hatala
Keyword(s):  
Theoretical Model ◽  
Learning Analytics ◽  
Research Method ◽  
Teaching And Learning ◽  
Networked Learning ◽  
Learning Models ◽  
Dimensional Approach ◽  
Research Outcomes ◽  
Learning Research ◽  
Scalable Analysis

Teaching and learning in networked setting has attained a significant amount of attention recently. The central topic of networked learning research is human-human and human-information interactions that occur within a networked learning environment. The nature of these interactions is highly complex and usually requires a multi-dimensional approach in analyzing their effects. Therefore, the main goal of this research is the development of a theoretical model that allows for a comprehensive and scalable analysis of how and why learners engage into collaboration in networked communities. The proposed research method, anticipated research outcomes and contributions to the learning analytics field are discussed.

scholarly journals Networks and learning: communities, practices and the metaphor of networks

2004 ◽  
Vol 12 (1) ◽  
Author(s):  
Chris Jones
Keyword(s):  
Learning Communities ◽  
Computer Networks ◽  
Learning Theory ◽  
Virtual Communities ◽  
Learning Technologies ◽  
Learning Technology ◽  
Networked Learning ◽  
Advanced Technologies ◽  
E Learning

This article argues that the use of the network metaphor can link together various different aspects of research into the use of advanced learning technologies based on computer networks. The idea of networked learning has become commonplace as an alternative to e-learning that stresses the interaction of learners, tutors and resources through networks. The arguments put in this article are firstly that learning technology needs to take account of the wider debate about networks and secondly that research in this field needs to address the theoretical and practical issues raised by advances in the field of networks. A third point is that the idea of the network acts as a powerful metaphor even if we are able to discount any particular theory generated in its support. The network metaphor can act as a unifying concept allowing us to bring together apparently disparate elements of the field. Networks are an important issue in the study of learning using advanced technologies and they speak to some of the central issues in learning theory such as virtual communities and communities of practice.DOI: 10.1080/0968776042000211548 

scholarly journals A Survey of Machine Learning-Based System Performance Optimization Techniques

2021 ◽  
Vol 11 (7) ◽  
pp. 3235
Author(s):  
Hyejeong Choi ◽  
Sejin Park
Keyword(s):  
Machine Learning ◽  
Performance Optimization ◽  
System Performance ◽  
Optimization Techniques ◽  
Index Structure ◽  
Research Trend ◽  
Future Research ◽  
Learning Technology ◽  
Wide Range ◽  
Learning Research

Recently, the machine learning research trend expands to the system performance optimization field, where it has still been proposed by researchers based on their intuitions and heuristics. Compared to conventional major machine learning research areas such as image or speech recognition, machine learning-based system performance optimization fields are at the beginning stage. However, recent papers show that this approach is promising and has significant potential. This paper reviews 11 machine learning-based system performance optimization approaches from nine recent papers based on well-known machine learning models such as perceptron, LSTM, and RNN. This survey provides a detailed design and summarizes model, input, output, and prediction method of each approach. This paper covers various system performance areas from the data structure to essential system components of a computer system such as index structure, branch predictor, sort, and cache management. The result shows that machine learning-based system performance optimization has an important potential for future research. We expect that this paper shows a wide range of applicability of machine learning technology and provides a new perspective for system performance optimization.

scholarly journals EDUCATIONAL TECHNOLOGY: THE INFLUENCE OF THEORY

2018 ◽  
Author(s):  
Kim Issroff ◽  
Eileen Scanlon
Keyword(s):  
Educational Technology ◽  
Current Practice ◽  
Learning Technologies ◽  
Learning Technology ◽  
Technology Research ◽  
Group Influence ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Learning Research

In this paper we explore the role of theories in current practice in educational technology. We review a range of writings from the past 30 years on the nature of learning technology research. We discuss influences on learning technologies from the related fields of Artificial Intelligence in Education (AIED) and Human-Computer Interaction (HCI). We identify two groups of theories which have been used. The first group are related to principled decisions about the design of learning materials. The second group influence the ways in which we frame our research on learning. Research in learning technologies in the future will need to draw on both groups of theories. In this paper, we draw on our own experiences as educational technologists and the purpose of the paper is to encourage other educational technologists to join with us in reflecting on their own use of theories.

scholarly journals A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
A. Balavivekanandhan ◽  
S. Arulchelvan
Keyword(s):  
Mobile Learning ◽  
Mobile Technology ◽  
Research Study ◽  
Learning Technology ◽  
Academic Context ◽  
Dramatic Rise ◽  
Learning Research ◽  
Perceived Usability ◽  
It Knowledge ◽  
It Skills

The boom in mobile technology has seen a dramatic rise in its usage. This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. The acceptance of mobile technology relies mostly on how the students feel about mobile technology fitting into their requirements. Yet, in spite of the significance in the potential of m-learning, research studies have only inadequate data to identify the factors that influence their decision to adapt the mobile technology for the purpose of learning. To deal with this space, the present study was undertaken to correlate the IT skills of students with their impact on their acceptance of m-learning. The research study found that the perceived usability along with the usefulness of m-learning impacts the association between IT expertise and the objective of learners’ acceptance of m-learning. A survey of 892 students from Engineering, Arts, and Science Colleges found that IT skills influence student’s acquisition of m-learning technology. Specialized and advanced skills in mobile technology along with basic skills play a significant role in influencing a student to accept m-learning. But no specific substantiation has been established to support the statement that highly developed IT skills have influenced the students to accept m-learning.

A selective analysis of empirical findings in networked learning research in higher education: Questing for coherence

2006 ◽  
Vol 1 (2) ◽  
pp. 99-111 ◽  
Author(s):  
Maarten de Laat ◽  
Victor Lally ◽  
Robert-Jan Simons ◽  
Etienne Wenger
Keyword(s):  
Higher Education ◽  
Networked Learning ◽  
Learning Research ◽  
Selective Analysis

Trees in the Forest: A Sampling of Learning Research

1985 ◽  
Vol 30 (1) ◽  
pp. 49-50
Author(s):  
Albert T. Corbett
Keyword(s):  
Learning Research
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