Predicting attrition from Massive Open Online Courses in FutureLearn and edX

Ruth Cobos; Adriana Wilde; Ed Zaluska

Predicting attrition from Massive Open Online Courses in FutureLearn and edX

Ruth Cobos, Adriana Wilde, Ed Zaluska

Digital Technologies

Research output: Chapter in Book/Report/Conference proceeding › Paper published in a conference proceedings › peer-review

Original language	Undefined
Title of host publication	FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs
Editors	Lorenzo Vigentini, Yuan (Elle) Wang, Luc Paquette, Manuel León-Urrutia
Place of Publication	Vancouver, Canada
Pages	74-93
Number of pages	20
Volume	1967
Publication status	Published - 1 Mar 2017

Publication series

Name	CEUR-WS
Publisher	Learning Analytics and Knowledge (LAK'17)

Access to Document

http://ceur-ws.org/Vol-1967/FLMOOCS_Paper5.pdf

Cite this

Cobos, R., Wilde, A., & Zaluska, E. (2017). Predicting attrition from Massive Open Online Courses in FutureLearn and edX. In L. Vigentini, Y. E. Wang, L. Paquette, & M. León-Urrutia (Eds.), FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs (Vol. 1967, pp. 74-93). (CEUR-WS).. http://ceur-ws.org/Vol-1967/FLMOOCS_Paper5.pdf

Cobos, Ruth ; Wilde, Adriana ; Zaluska, Ed. / Predicting attrition from Massive Open Online Courses in FutureLearn and edX. FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs. editor / Lorenzo Vigentini ; Yuan (Elle) Wang ; Luc Paquette ; Manuel León-Urrutia. Vol. 1967 Vancouver, Canada, 2017. pp. 74-93 (CEUR-WS).

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title = "Predicting attrition from Massive Open Online Courses in FutureLearn and edX",

author = "Ruth Cobos and Adriana Wilde and Ed Zaluska",

year = "2017",

month = mar,

day = "1",

language = "Undefined",

volume = "1967",

series = "CEUR-WS",

publisher = "Learning Analytics and Knowledge (LAK'17)",

pages = "74--93",

editor = "Lorenzo Vigentini and Wang, {Yuan (Elle)} and Luc Paquette and Manuel Le{\'o}n-Urrutia",

booktitle = "FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs",

}

Cobos, R, Wilde, A & Zaluska, E 2017, Predicting attrition from Massive Open Online Courses in FutureLearn and edX. in L Vigentini, YE Wang, L Paquette & M León-Urrutia (eds), FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs. vol. 1967, CEUR-WS, Vancouver, Canada, pp. 74-93. <http://ceur-ws.org/Vol-1967/FLMOOCS_Paper5.pdf>

Predicting attrition from Massive Open Online Courses in FutureLearn and edX. / Cobos, Ruth; Wilde, Adriana; Zaluska, Ed.

FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs. ed. / Lorenzo Vigentini; Yuan (Elle) Wang; Luc Paquette; Manuel León-Urrutia. Vol. 1967 Vancouver, Canada, 2017. p. 74-93 (CEUR-WS).

Research output: Chapter in Book/Report/Conference proceeding › Paper published in a conference proceedings › peer-review

TY - GEN

T1 - Predicting attrition from Massive Open Online Courses in FutureLearn and edX

AU - Cobos, Ruth

AU - Wilde, Adriana

AU - Zaluska, Ed

PY - 2017/3/1

Y1 - 2017/3/1

M3 - Paper published in a conference proceedings

VL - 1967

T3 - CEUR-WS

SP - 74

EP - 93

BT - FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs

A2 - Vigentini, Lorenzo

A2 - Wang, Yuan (Elle)

A2 - Paquette, Luc

A2 - León-Urrutia, Manuel

CY - Vancouver, Canada

ER -