• No results found

Dropout prediction in MOOCs : using sentiment analysis of users' comments to predict engagement

N/A
N/A
Protected

Academic year: 2020

Share "Dropout prediction in MOOCs : using sentiment analysis of users' comments to predict engagement"

Copied!
35
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig 1. Number of comments per object in the technical track
Fig 2. Number of comments per object in the strategical track
Fig. 3. Medians of sentiment score for the whole course
Fig. 4 Medians of sentiment score for the technical track
+7

References

Related documents

The ethno botanical efficacy of various parts like leaf, fruit, stem, flower and root of ethanol and ethyl acetate extracts against various clinically

Experiments were designed with different ecological conditions like prey density, volume of water, container shape, presence of vegetation, predator density and time of

The objective of this study was to develop Fourier transform infrared (FTIR) spectroscopy in combination with multivariate calibration of partial least square (PLS) and

Each planet could be in more than location, north, south, east, west,. as different artworks by

For the poorest farmers in eastern India, then, the benefits of groundwater irrigation have come through three routes: in large part, through purchased pump irrigation and, in a

Most of the steps of TOPSIS can be easily generalized to a fuzzy environment, except max and min operations in finding the ideal solution and negative ideal solution1. Thus we

Marie Laure Suites (Self Catering) Self Catering 14 Mr. Richard Naya Mahe Belombre 2516591 info@marielauresuites.com 61 Metcalfe Villas Self Catering 6 Ms Loulou Metcalfe

(i) Explain why more carbon dioxide is produced when the complete homogenate is incubated with just glucose or pyruvate than when cyanide is