Quality Analytics Framework for E-learning Application Environment

Nanduri, Satyanarayana; Babu, Nelaturu Sarat Chandra; Jain, S. P.; Sharma, Vaibhav; Garg, Vikas; Rajshekar, A.P.; Rangi, Vikas

doi:10.1109/t4e.2012.59

Cited by 4 publications

(5 citation statements)

References 2 publications

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“…Um dos aspectos que teve grande destaque entre os estudos analisados foi o de acessibilidade. Segundo, Martin et al (2007) e Nanduri et al (2012) frequentemente os alunos com alguma necessidade especial encontram mais dificuldade de interação no ambiente virtual do que no presencial. Isso ocorre, pois a interação no ambiente virtual está baseada em diversas mídias e meios de comunicação, e poucas são aquelas adaptadas para lidar com usuários com alguma necessidade especial.…”

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“…Outros trabalhos identificados na literatura contribuem para facilitar a complexa tarefa de avaliação de qualidade, como o de Nanduri et al (2012) que propuseram um framework para avaliação de qualidade de ambientes e-learning e dos conteúdos desses, com base nas normas vigentes e melhores práticas relacionadas aos parâmetros de qualidade para essas aplicações. Conformidade com os padrões, satisfação do usuário e avaliação programática são os principais fatores abordados por Nanduri et al (2010) ao projetar esse framework.…”

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Qualidade de Softwares Educacionais Baseados na Web (Semântica): Um Mapeamento Sistemático

Lopes

Pedro

Isotani

2014

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Softwares educacionais web têm evoluído nos últimos anos, impulsionados pelos avanços das TIC e pela popularização das tecnologias da Web Semântica. Contudo, até o momento são poucas as pesquisas realizadas com o objetivo de desenvolver métodos, técnicas e ferramentas que permitam avaliar a qualidade de softwares educacionais baseados em Web Semântica (SEWS), acompanhando o aumento da demanda e oferta de tais produtos. Assim, o objetivo deste trabalho foi conduzir um Mapeamento Sistemático com o propósito de identificar as pesquisas existentes para avaliação da qualidade de softwares educacionais web. A busca por artigos foi realizada em bases na área de Computação e Educação, sendo 603 artigos selecionados inicialmente. Após leitura e aplicação dos critérios de inclusão e exclusão estabelecidos restaram 78 artigos, lidos integralmente. Os resultados das análises realizadas fornecem um panorama geral sobre os métodos utilizados para avaliação de qualidade dos softwares educacionais web e destacam a precariedade e necessidade de estabelecer fatores e critérios para avaliar a qualidade de SEWS.

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Section: Figura 3 Publicações Por Paísunclassified

Qualidade de Softwares Educacionais Baseados na Web (Semântica): Um Mapeamento Sistemático

Lopes

Pedro

Isotani

2014

RENOTE

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“…In order to have the quality analytics for the given web learning environment it is important to track the given application. Tracking is helpful to understand the dynamic behavior of the application and the analytics provide the results of continuous monitoring as data patterns [5], [6]. Data visualization through these patterns is useful to have insight into the dynamic environment.…”

Section: Introductionmentioning

confidence: 99%

Quality analytics for evaluation of dynamic web based learning environment

Rohini

Chhabra

2014

2014 IEEE International Conference on MOOC, Innovation and Technology in Education (MITE)

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Quality is directly related with satisfaction of the learner and one can satisfy only if the learning environment provides full technical and infrastructure support and interactive user interface. Quality Analytics is the discovery and the systematic computational analysis of data statistics to find meaningful patterns especially valuable in areas rich with recorded information. Quality Analytics of learning environment evaluates the application based on various relevant quality parameters such as Business Qualities, Generic Qualities, System Qualities and Learner Response Qualities. These parameters should be focused upon to design analytical pattern to monitor the learner behavior. If any of the web-based application fails to deliver these then it clearly reflects the compromise in the quality of the product. ISO/IEC 19796-1 international standard focuses on quality management and assurance in e-Learning and it is also mandatory to scrutinize and assess the results generated by various quality factors in dynamic web based learning environment. This paper proposes analytics based method to generate and monitor values of some critical quality factors. Effective assessment of these factors is helpful in tuning the overall performance of dynamic web based learning environment and the analytics confirm the learner behavior towards the learning application.

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“…A more exhaustive review of the literature (a systematic review of the literature) on quality models for e-Learning/b-Learning can be found in a previous work by the authors [15]. It can be seen that the focus of a large number of publications is to address the technical quality of the technology that supports the e-Learning process [10,14,[16][17][18][19][20][21][22][23][24][25]. The quality of services and support associated with e-Learning systems [11,[26][27][28][29][30][31][32], learning resources [33,34] and instructional design of online courses [23,[35][36][37] are also topics of interest, although there is less consensus among researchers, as studies are case-focused and results are not generalizable.…”

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confidence: 99%

Dashboard for Evaluating the Quality of Open Learning Courses

2020

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Universities are developing a large number of Open Learning projects that must be subject to quality evaluation. However, these projects have some special characteristics that make the usual quality models not respond to all their requirements. A fundamental part in a quality model is a visual representation of the results (a dashboard) that can facilitate decision making. In this paper, we propose a complete model for evaluating the quality of Open Learning courses and the design of a dashboard to represent its results. The quality model is hierarchical, with four levels of abstraction: components, elements, attributes and indicators. An interesting contribution is the definition of the standards in the form of fulfillment levels, that are easier to interpret and allow using a color code to build a heat map that serves as a dashboard. It is a regular nonagon, divided into sectors and concentric rings, in which each color intensity represents the fulfillment level reached by each abstraction level. The resulting diagram is a compact and visually powerful representation, which allows the identification of the strengths and weaknesses of the Open Learning course. A case study of an Ecuadorian university is also presented to complete the description and draw new conclusions.

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Quality Analytics Framework for E-learning Application Environment

Cited by 4 publications

References 2 publications

Qualidade de Softwares Educacionais Baseados na Web (Semântica): Um Mapeamento Sistemático

Qualidade de Softwares Educacionais Baseados na Web (Semântica): Um Mapeamento Sistemático

Quality analytics for evaluation of dynamic web based learning environment

Dashboard for Evaluating the Quality of Open Learning Courses

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