• No results found

A Data-driven Method for the Detection of Close Submitters in Online Learning Environments

N/A
N/A
Protected

Academic year: 2020

Share "A Data-driven Method for the Detection of Close Submitters in Online Learning Environments"

Copied!
8
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Table 1: Number of account pairs, MAD and MSD values afterapplying different quantiles as threshold of the distance distri-bution for music and philosophy courses.
Table 2: Crosstabulation of the number of close submitters andcertificate earners in the two courses
Figure 2: Community visualization of the couples and groups detected as close submitters after applying the algorithm.
Figure 3: Differences between close submitters and the rest of accounts across extracted variables.

References

Related documents

The main contribution of this study is to decrease income inequality in risk sharing network such as informal insurance through an analytical method, this study

Based on the intensity and frequency questions in these plots, the one-year SMS-based trajectories of the interviewed individuals were independently categorized by two authors (HHL

This study investigates the potential of bimetal impregnated catalysts supported on activated carbon derived from biomass for Selective Catalytic Reduction (SCR) of Nitrogen

Psychological distress and associated factors among the attendees of traditional healing practices in Jinja and Iganga districts, Eastern Uganda: a cross-sectional study..

The different bounding regions then allow classifying new residential buildings (the ones that appeared between 2002 and 2017) into different categories of patterns of

As a result, it is extremely important to enhance its antecedents, and TQM, as suggested by our findings, may well be a significant opportunity to leverage such behaviors

the Siberian stonechats, whereas the growth rate towards adult wing length is higher in the European stonechats (note, however, that in the European birds the wing