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Exact(2)
The algorithm computes similarities between learners based on the commonly used distance measure, Euclidean distance.
Once the characteristics values are normalized, Euclidean distance is used to compute the similarity between learners based on their characteristics.
Similar(58)
These works either used clustering techniques which uses learners' characteristics to form groups or calculate the similarity between the learners based on the ratings provided by them.
The second group of research works finds similar learners based on the characteristics and then recommendations are provided based on the information from the similar learners.
These works focus on grouping similar learners based on their activities in a course.
The results can show achievements of learners based on the instructor's expectation.
This module provides learning support to learners based on their learning needs.
Self-organizing maps were used to categorize learners based on similar interests into groups.
The other is that learners ask an intelligent tutoring system to choose an adequate RPS for the learners based on their solving problems.
As a first test, we divided subjects into groups of good and poor learners based on a median split of their score improvements.
Also, the individual-goal difference map represents the mismatch propositions between each learner map based on the goal map.
More suggestions(13)
between results based on
between groups based on
between strains based on
between populations based on
between regions based on
between trees based on
between species based on
between estimates based on
between proteins based on
between predictions based on
between samples based on
between models based on
between individuals based on
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com