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Current Issue [Vol. 04, No. 02] [Febuary 2018]


Paper Title :: Learning Analytics for support and enhancement of self-regulated learning: Systematic review
Author Name :: Pauline Wambui Wangunyu
Country :: Kenya
Page Number :: 01-07
Learning analytics is a field that brings with it new possibilities on how to understand the learning process. In this review we explore the current research on use of learning analytics to support and enhance self-regulated learning (SRL).We draw useful insights on how to future research can borrow from already existing work while embracing new technologies. The search for relevant literature was done using identified search terms on internationally recognized scientific databases. Initial filter resulted in 43 papers but after doing further investigation of the abstracts and objectives, 27 papers fit the search criteria. A notable finding in this nascent field is that despite the significant increase in use of learning management systems in higher education to collect learners' data, the study of self-regulated learning requires data that is not intentionally collected by such systems. Accordingly, researchers have explored other systems as better SRL data collection vehicles which have produced promising results. These new enriched data sets together with advanced analytics techniques give us better ways to understand the learning process and how we can best improve it.
Keywords: Learning Analytics; Self-regulated learning; self-directed learning; technology enhanced learning
[1] Simon Buckingham Shum and Ruth Deakin Crick, "Learning Analytics for 21st Century Competencies," Journal of Learning Analytics, vol. 3, pp. 6-21, 2016.
[2] Barry J. Zimmerman, "Becoming a Self-Regulated Learner: An Overview," Theory Into Practice, vol. 41, pp. 64-70, 2002.
[3] Melody Siadaty, Dragan Gasevic, and Marek Hatala, "Trace-Based Microanalytic Measurement of Self-Regulated Learning Processes," Journal of Learning Analytics, pp. 183-214, 2016.
[4] Ido Roll and Philip H. Winne, "Understanding, evaluating, and supporting self regulated learning using learning analytics," Journal of Learning Analytics, vol. 2, pp. 7-12, 2015.
[5] Dragan Gasevic, Shane Dawson, and George Siemens, "Let’s not forget learning analytics are about learning," Association for Educational Communications and Technology , vol. 59, 2015.

Paper Title :: A brief history about radiotherapy
Author Name :: Paulo Nuno Martins
Country :: Portugal
Page Number :: 08-11
Radiation therapy or radiotherapy is a therapy used as a part of cancer treatment for more than 100 years. This essay is a contribution towards a study of this theme about the discovery and evolution of radiotherapy, particularly to describe its history, the main types of radiotherapy and methods of treatment complementary to radiotherapy.
Keywords:Brief history of radiotherapy,types of radiotherapy, methods of treatment complementary to radiotherapy
[1]. PodgorsakEB.Radiation Physics for Medical Physicists.Springer. 2006.
[2]. Costa RM. Compreender, Explicar e Tratar o incurável. Um olhar sobre o Cancro na História da Humanidade. Centro de Estudos Interdisciplinares do século XX, da Universidade de Coimbra. 2009.
[3]. Pereira AJ, Daniliauskas M, Lopes, RMG. Programa de Qualidade em Radioterapia – Manual para Técnicas em Radioterapia. Ministério da Saúde, Instituto Nacional de Câncer, Rio de Janeiro:INCA. 2000.
[4]. Mukherjee S. The Emperor of All Maladies: A Biography of Cancer. Simon&Schuster.2010.
[5]. Dobbs J, Barrett A, Ash D et al. Practical Radiotherapy Planning. Taylor&Francis. 1999.

Paper Title :: A Comparison of Different Perspectives for the Design of Ontology-Database View
Author Name :: Amer Ibrahim
Country :: Dubai, United Arab Emirates
Page Number :: 12-20
An ontology is a complex information object. It can contain millions of concepts in complex relationships. This creates the need to establish a small ontology as an alternative version of a base ontology. This paper aims to present the different mechanism of creating an ontology views. Ontology views are argued to offer a solution to large and unwieldy ontologies, providing custom views that can act as ontologies in their own right. The survey is structured such as to give a brief overview of what ontology views are, what work has been done to generate ontology views from both a query or algorithmic perspective.
[1]. J. Bao and V.G. Honavar, "Collaborative Ontology Building with Wiki@nt" Third International Workshop, on Evaluation of Ontology Building Tools, Hiroshima 2004.
[2]. M. Bhatt, A. Flahive, C. Wouters, J.W. Rahayu and D. Taniar, "MOVE: A Distributed Framework for Materialized Ontology View Extraction", Algorithmica, No. 45, pp. 457–481, Springer, 2006.
[3]. R. Berlanga, A. Scheppler, M. J. Aramburu Cabo, I. Sanz and R. Danger, "OntoPath: A Query Language for Ontologies", IX Conference of Software Engineering and Data Bases, Malaga, 2004.
[4]. B. Chandrasekaran, J.R. Josephson and V.R. Benjamins, "What are ontologies, and why do we need them?”, IEEE Intelligent Systems, pp. 20-26, 1999.
[5]. A. Farquhar, R. Fikes and J. Rice, "The Ontolingua server: a tool for collaborative ontology construction", International Journal of Human-Computer Studies, vol. 46, no. 6, 1997.








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