Future Research Directions on Web-Based Educational Systems

2018 ◽  
pp. 9-20
Author(s):  
Ioana Andreea Bogoslov
Keyword(s):  
Future Research ◽  
Educational Systems ◽  
Research Directions ◽  
Web Based ◽  
Future Research Directions

Investigation and Implementation of a Web-Based CAD System for Fabric Appearance

2010 ◽  
Vol 129-131 ◽  
pp. 645-647
Author(s):  
Fan Lei Yan ◽  
Lian He Yang ◽  
Hai Feng Chang
Keyword(s):  
Data Exchange ◽  
3D Model ◽  
Texture Mapping ◽  
Future Research ◽  
Web Browser ◽  
Research Directions ◽  
Web Based ◽  
Cad System ◽  
Key Technologies ◽  
Future Research Directions

The area of web-based CAD system has grown since the mid-1990s. This paper introduces a new web-based CAD system for fabric appearance. The system uses the Browser/Server structure, and the designer can employ this system installed on the server to build a 3D model of fabric appearance through the Web browser. The basic architecture is discussed in this paper. Some key technologies, such as graphics display, texture mapping and the data exchange, are also investigated. In the last, some future research directions are presented.

Learning Analytics

2018 ◽  
pp. 5158-5168
Author(s):  
Constanţa-Nicoleta Bodea ◽  
Maria-Iuliana Dascalu ◽  
Radu Ioan Mogos ◽  
Stelian Stancu
Keyword(s):  
Data Mining ◽  
Learning Analytics ◽  
Educational Data Mining ◽  
Future Research ◽  
Educational Systems ◽  
Main Section ◽  
Research Directions ◽  
Data Intensive ◽  
Academic Analytics ◽  
Future Research Directions

Reinforcement of the technology-enhanced education transformed education into a data-intensive domain. As in many other data-intensive domains, the interest for data analysis through various analytics is growing. The article starts by defining LA, with relevant views on the literature. A discussion about the relationships between LA, educational data mining and academic analytics is included in the background section. In the main section of the article, the learning analytics, as an emerging trend in the educational systems is describe, by discussing the main issues, controversies, problems on this topic. Final part of the article presents the future research directions and the conclusion.

Learning Analytics

2019 ◽  
pp. 739-750
Author(s):  
Constanţa-Nicoleta Bodea ◽  
Maria-Iuliana Dascalu ◽  
Radu Ioan Mogos ◽  
Stelian Stancu
Keyword(s):  
Data Mining ◽  
Learning Analytics ◽  
Educational Data Mining ◽  
Future Research ◽  
Educational Systems ◽  
Main Section ◽  
Research Directions ◽  
Data Intensive ◽  
Academic Analytics ◽  
Future Research Directions

Reinforcement of technology-enhanced education transformed education into a data-intensive domain. As in many other data-intensive domains, the interest for data analysis through various analytics is growing. The chapter starts by defining learning analytics (LA), with relevant views on the literature. A discussion about the relationships between LA, educational data mining, and academic analytics is included in the background section. In the main section of the chapter, the learning analytics, as an emerging trend in the educational systems is described by discussing the main issues, controversies, and problems on this topic. The final part of the chapter presents the future research directions and the conclusion.

scholarly journals 'why teachers’ beliefs and values are important in p4c research: a victorian perspective

2019 ◽  
Vol 15 ◽  
pp. 01-19
Author(s):  
Ben Kilby
Keyword(s):  
Education System ◽  
The State ◽  
Future Research ◽  
Educational Systems ◽  
Philosophy For Children ◽  
Research Directions ◽  
Beliefs And Values ◽  
Teachers Beliefs ◽  
Future Research Directions ◽  
Teachers Perspectives

This paper argues that there is an absence of current research in Philosophy for Children (P4C) that focusses on teachers’ perspectives, particularly in relation to their beliefs and values. The paper will look briefly at the programmatics of P4C, and its current mandated status in the education system in the state of Victoria, Australia. It will then move to exploring how the study of teachers’ perspectives, through analyses of their beliefs and values, adds significant value in education, particularly in the context of P4C. It concludes by analysing some recent P4C research that has begun to explore teachers’ perspectives, before finishing with suggesting future research directions that build on these previous studies, and which promise lay important groundwork for extending the reach of P4C into educational systems.

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