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Exploring co-studied Massive Open Online Course Subjects via social network analysis

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Exploring co-studied Massive Open Online Course Subjects via social network analysis. / Jordan, Katy.
In: International Journal of Emerging Technologies in Learning, Vol. 9, No. 8, 10.06.2014.

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Jordan K. Exploring co-studied Massive Open Online Course Subjects via social network analysis. International Journal of Emerging Technologies in Learning. 2014 Jun 10;9(8). doi: 10.3991/ijet.v9i8.3581

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Jordan, Katy. / Exploring co-studied Massive Open Online Course Subjects via social network analysis. In: International Journal of Emerging Technologies in Learning. 2014 ; Vol. 9, No. 8.

Bibtex

@article{93c4716bd6c142cfa5c06c47667d9c0a,
title = "Exploring co-studied Massive Open Online Course Subjects via social network analysis",
abstract = "Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward {\textquoteleft}MOOCs for credit{\textquoteright}.",
author = "Katy Jordan",
year = "2014",
month = jun,
day = "10",
doi = "10.3991/ijet.v9i8.3581",
language = "English",
volume = "9",
journal = "International Journal of Emerging Technologies in Learning",
number = "8",

}

RIS

TY - JOUR

T1 - Exploring co-studied Massive Open Online Course Subjects via social network analysis

AU - Jordan, Katy

PY - 2014/6/10

Y1 - 2014/6/10

N2 - Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’.

AB - Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’.

U2 - 10.3991/ijet.v9i8.3581

DO - 10.3991/ijet.v9i8.3581

M3 - Journal article

VL - 9

JO - International Journal of Emerging Technologies in Learning

JF - International Journal of Emerging Technologies in Learning

IS - 8

ER -