English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

This study is about Learning Support using classification of learners according to their type of learners’ comprehension on IP education. The proposed system has an automatic recommendation function of learning contents. In order to support automatically, we use unsupervised classification method such as SOM. But classification procedure usually leaves us with a small number of poorly classified learners that are often located at the boundaries between two clearly assigned types. In such a case, homogenizing the classification by reassigning the learners to one or the other type is desirable. In order to support recommendation of suitable learning contents, I examine knowledge-based method for revising misclassification on learners’ comprehension. Keywords—Pattern Classification, Learning Support, e-Learning.

Knowledge-Based Method for Revising Misclassification on Learners' Comprehension