Web-Based Learning Support System

Fan, Lisa

doi:10.1007/978-1-84882-628-1_5

Cited by 7 publications

(12 citation statements)

References 7 publications

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“…Resource recommendation technology based on learners' learning preferences. Liu Zhong-bao and other scholars proposed "study on learner modeling and learning resource recommendation methods in the cloud environment" (Liu, Song, Kong, & Li, 2017), Lisa Fan mentioned the an AEH system, which can collect and the process the data about student goals, preferences, and knowledge to adapt the material being delivered to the educational needs of the students (Fan, 2010).…”

Section: Research Status At Home and Abroadmentioning

confidence: 99%

Untitled

2015

UCER-A

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With the popularization of e-learning, Learning Support System (LSS) is playing an increasingly important role in teaching and the reform of education. Although pure resource-based LSS is prevailed, it cannot meet the needs of learning support in the era of big data and massive resources. Based on the teaching practice of LSS supporting computer courses in recent 10 years, and combined with the experience of optimizing LSS year by year, the intelligent LSS design with knowledge structure as the main body is proposed. And the LSS is optimized from five aspects, including micro-resource package structure oriented to knowledge points, knowledge structural reorganization of the learning resources, monitor and feedback learning behavior guided by visual theory of learning progress, resources recommendation based on the study progress and the knowledge structure, and reusing high-quality discussion posts and questions. Teaching practice has proved that the structured design of resource package can encourage imagination. Learning monitoring and feedback mechanism can maintain motivation and improve self-efficacy. Learning resource recommendation strategy plays a significant role in helping students focus on learning content and improve efficiency. High quality post is conducive to students' deep learning.

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Section: Research Status At Home and Abroadmentioning

confidence: 99%

Untitled

2015

UCER-A

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“…Students can participate in their online courses when the Internet is available regardless of their physical locations [27]. Web-based learning also allows students to take courses in a cost effective platform [15]. It offers a second chance to many people for educating themselves [8].…”

Section: Web-based Learningmentioning

confidence: 99%

“…Web-based learning is obtaining popularity and provides many benefits compared with traditional learning environments [15,71]. It is learning via electronic media on the Web [7].…”

Section: Introductionmentioning

confidence: 99%

A Web-Based Learning Support System for Rough Sets

Zhou

2014

Rough Sets and Knowledge Technology

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“…Static properties of the student model [12] cover student's personal characteristics such as age, Individuality means that a WLSS must adapt itself to gender, background knowledge, student's preferences the ability and skill level of individual student.…”

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confidence: 99%

“…Testing and check points are important learning speed and to help students gain a better from the point of view of evaluating and assessing the understanding through individualized instruction. student progress [12].…”

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confidence: 99%

Granular Computing Application to Web-based Learning Support System

Fan

2007

6th IEEE International Conference on Cognitive Informatics

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This paper presents a potential application of 2. Related Works Granular Computing approach to the web-based learning support system (WLSS). In particular, we Many researches have been done on web-based examine the main functions and characteristics ofsuch education. They range from education point view, systems and the granulation aspects associated with philosophical point view, psychological point view, the systems. Issues of contents granulation, domain and pedagogical design point view. However, there are knowledge granulation, interface granulation, and few web-based learning support systems designed from student modeling granulation are discussed in detail. granular computing point view. Vasilakos et al [2] We report our experience in the design and reviewed computational intelligence in web-based implementation of a prototype of granular computing education, and found that lots of research groups have approach to a web-based learning support system. put a lot of efforts in developing methodologies, approaches, tools, and practical systems to support the web-based education. However, there has been little Proc. 6th IEEE Int. Conf. on Cognitive Informatics (ICCI'07)

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Web-Based Learning Support System

Cited by 7 publications

References 7 publications

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A Web-Based Learning Support System for Rough Sets

Granular Computing Application to Web-based Learning Support System

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