Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques

Munk, Michal; Drlík, Martin; Benko, Ľubomír; Reichel, Jaroslav

doi:10.1109/access.2017.2706302

Cited by 17 publications

(24 citation statements)

References 32 publications

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“…Two previous experiments [ 33 , 35 ] are closely related to the aim of this paper. We focused on the influence of estimation of the ratio of auxiliary pages to the accuracy of the session identification.…”

Section: Methodsmentioning

confidence: 92%

“…The Reference Length method falls into this category. It is based on the assumption that the amount of time, that the user spends on a page depends on whether the page is classified as an auxiliary or content page [ 1 , 32 , 33 , 34 , 35 ].…”

Section: Methodsmentioning

confidence: 99%

“…These experiments provide the reader with a solid review of the issues that are related to the estimate of the ratio of auxiliary pages in the process of session identification in the context of Web Usage Mining. Both experiments [ 33 , 35 ] dealt with the analysis of actionable (useful), trivial and inexplicable sequence rules [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

“…The first experiment [ 35 ] dealt with the analysis of several data preprocessing techniques for session identification and path completion. Authors compared eight files in different stages of data preprocessing ( Figure 3 ).…”

Section: Methodsmentioning

confidence: 99%

“…The results of the experiments [ 33 , 35 ] showed that the ratio of auxiliary pages has an impact on the quantity of found rules only in the case of files with path completion. There was proved no impact on the increase of useful rules, but inappropriate estimation of the ratio of auxiliary pages can lead to an increase of trivial and inexplicable rules.…”

Section: Methodsmentioning

confidence: 99%

See 4 more Smart Citations

Using Entropy in Web Usage Data Preprocessing

Munk

Benko

2018

Entropy

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The paper is focused on an examination of the use of entropy in the field of web usage mining. Entropy creates an alternative possibility of determining the ratio of auxiliary pages in the session identification using the Reference Length method. The experiment was conducted on two different web portals. The first log file was obtained from a course of virtual learning environment web portal. The second log file was received from the web portal with anonymous access. A comparison of the results of entropy estimation of the ratio of auxiliary pages and a sitemap estimation of the ratio of auxiliary pages showed that in the case of sitemap abundance, entropy could be a full-valued substitution for the estimate of the ratio of auxiliary pages.

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Section: Methodsmentioning

confidence: 92%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Using Entropy in Web Usage Data Preprocessing

Munk

Benko

2018

Entropy

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Understanding of Time-Based Trends in Virtual Learning Environment Stakeholders’ Behaviour

Drlík

2019

The Challenges of the Digital Transformation in Education

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Behavior Data Collection in Collaborative Virtual Learning Environments

Gou

et al. 2021

IFIP Advances in Information and Communication Technology

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Educational Data Mining has gained a variety of attention. It describes students' cognitive needs through data mining, and provides individualized knowledge support for cognitive differences. Although the application of data mining algorithms is relatively mature, the data pre-processing based on data collection still suffers from high costs. The paper focus on a research question: how to effectively collect behavior data in virtual learning environments? "Effectively" in the sense of ensuring that value-intensive behavior data on decision-making can be accurately collected which reflects the students' cognitive. Therefore, the paper presents a method to achieve the object. The method comprises six steps, including extraction, transformation, determination, design, trigger and store. Based on the fact that all behavior data generated by the interaction is objective, identifying the collection points on the trigger event matches the granularity level of behavior data. Considering the related platforms and intelligent applications, the method can be used, providing behavior data support for the research of knowledge services.

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Quantitative and Qualitative Evaluation of Sequence Patterns Found by Application of Different Educational Data Preprocessing Techniques

Cited by 17 publications

References 32 publications

Using Entropy in Web Usage Data Preprocessing

Using Entropy in Web Usage Data Preprocessing

Understanding of Time-Based Trends in Virtual Learning Environment Stakeholders’ Behaviour

Behavior Data Collection in Collaborative Virtual Learning Environments

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