A similarity-based approach to enhance learning objects management systems

Domínguez, Víctor Hugo Menéndez; Zapata, Alfredo; Prieto-Mendez, Manuel E.; Romero, Cristóbal; Serrano-Guerrero, Jesús

doi:10.1109/isda.2011.6121788

Cited by 4 publications

(1 citation statement)

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“…When we match KR of RK x with KR of RK y , it is not efficient to use all metadata from RML because the process of doing so is difficult and hard to maintain, especially in a repository that contains thousands of requirements. We adopt the metric proposed in Menndez-Domnguez et al . (2011), which we adapt to serve our purposes with regard to the RE context. The formula then calculates the similarity degree (Sim) between requirements ( RK x , RK y ) and considers the similarity average (simMeta) of the value ( v ) of the metadata within a RE context ( C ): where n is the number of metadata pieces to compare, simMeta ( vx i , vy i ) the semantic distance between value v of metadata i for RK x and RK y . C i is the relevance of metadata i in a particular C context.…”

Section: Component-based Approachmentioning

confidence: 99%

Component-based approach for requirements reuse

Chikh¹

2017

The Knowledge Engineering Review

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Reusing requirements improves product quality and the productivity of the development process. This paper investigates how the development of new requirements can be made more productive through reuse of the experience gained on similar requirements. This can be facilitated using a component-based reuse approach supported by a framework. Therefore, the central challenge for this research work is double: (1) to define a new concept for the requirement component as the combination of two types of knowledge: reusable knowledge and knowledge of reuse; (2) to define AFR (Analysis For Reuse) that represents the capitalization process by opposition to Analysis By Reuse that represents the process of reuse itself. Finally, we provide a case study related to the requirements of a hotel system to explain how the first process works. Through this approach, we use a framework ‘Requirements Repository Framework (R2F)’ in order to capitalize existing requirements within a repository for future reuse. We present the results of an experiment with three second-level student sections that used R2F in their IS240 course project; as well as with four student groups that used R2F in their respective senior projects. The objective of this experiment is to measure the usability of the proposed AFR process.

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Section: Component-based Approachmentioning

confidence: 99%

Component-based approach for requirements reuse

Chikh¹

2017

The Knowledge Engineering Review

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Learning content design and learner adaptation for adaptive e-learning environment: a survey

Premlatha

Geetha

2015

Artif Intell Rev

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This paper presents a survey about learning content designs and various adaptation levels, in order to adapt the learners' necessities in e-learning environment. Normally, learners have different learning styles, cognitive traits, learning goals and varying progress of their learning over period of time, which affects the learner's performance while providing the same bundle of course to all learners. Hence, there is a need to create adaptive e-learning environment to offer appropriate learning content to all individuals. In general, the adaptation can be done based on learners' characteristics. Here, we explore the adaptation that can be done, not only based on learner context parameters but also on the learning content (learning object) and the configuration of e-learning environment. In this paper, we provide a detail review about the various levels of adaptation, learning object design and process for learning content design, learner context parameters, and models/components of e-learning; moreover, we analyze and portray the associations among the components, necessary to achieve the well-defined adaptation in e-learning environment.

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