What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses

Xieling CHEN; Di ZOU; Haoran XIE; Gary CHENG

doi:10.1007/978-3-030-59413-8_6

What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses

Xieling CHEN, Di ZOU^*, Haoran XIE, Gary CHENG

^*Corresponding author for this work

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

7 Citations (Scopus)

Abstract

In MOOCs, course reviews are valuable sources for exploiting learners’ attitudes towards the courses provided. This study employed an innovative structural topic modeling technique to analyze 1920 reviews of 339 courses regarding computer science to understand what primary concerns the learners had. Nine major topics, including course levels, learning perception, course assessment, teaching styles, problem solving, course content, course organization, critique, and learning tools and platforms were revealed. In addition, we investigated how the identified nine topics varied across reviews with different ratings. Results indicated that negative reviews tended to relate more to issues such as course assessment, learning tools and platforms, and critique, while positive reviews concerned more about issues such as course levels, course organization, and learning perception. This study provided tutors with novel implications for developing online courses, particularly computer science courses.

Original language	English
Title of host publication	Database Systems for Advanced Applications. DASFAA 2020 International Workshops
Editors	Yunmook NAH, Chulyun KIM, Seon-Young KIM, Yang-Sae MOON, Steven Euijong WHANG
Publisher	Springer, Cham
Chapter	6
Pages	73-79
Number of pages	7
ISBN (Electronic)	9783030594138
ISBN (Print)	9783030594121
DOIs	https://doi.org/10.1007/978-3-030-59413-8_6
Publication status	Published - 22 Sept 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12115 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Funding

This research received grants from the Standing Committee on Language Education and Research (EDB(LE)/P&R/EL/175/2), the Education Bureau of the Hong Kong Special Administrative Region, the Internal Research Grant (RG93/2018-2019R), and the Internal Research Fund (RG 1/2019-2020R) of the Education University of Hong Kong.

Keywords

MOOCs
Online course reviews
Structural topic model

Access to Document

10.1007/978-3-030-59413-8_6

http://link.springer.com/10.1007/978-3-030-59413-8_6

Cite this

CHEN, X., ZOU, D., XIE, H., & CHENG, G. (2020). What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. In Y. NAH, C. KIM, S.-Y. KIM, Y.-S. MOON, & S. E. WHANG (Eds.), Database Systems for Advanced Applications. DASFAA 2020 International Workshops (pp. 73-79). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12115 LNCS). Springer, Cham. https://doi.org/10.1007/978-3-030-59413-8_6

CHEN, Xieling ; ZOU, Di ; XIE, Haoran et al. / What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. Database Systems for Advanced Applications. DASFAA 2020 International Workshops. editor / Yunmook NAH ; Chulyun KIM ; Seon-Young KIM ; Yang-Sae MOON ; Steven Euijong WHANG. Springer, Cham, 2020. pp. 73-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "What Are MOOCs Learners{\textquoteright} Concerns? Text Analysis of Reviews for Computer Science Courses",

abstract = "In MOOCs, course reviews are valuable sources for exploiting learners{\textquoteright} attitudes towards the courses provided. This study employed an innovative structural topic modeling technique to analyze 1920 reviews of 339 courses regarding computer science to understand what primary concerns the learners had. Nine major topics, including course levels, learning perception, course assessment, teaching styles, problem solving, course content, course organization, critique, and learning tools and platforms were revealed. In addition, we investigated how the identified nine topics varied across reviews with different ratings. Results indicated that negative reviews tended to relate more to issues such as course assessment, learning tools and platforms, and critique, while positive reviews concerned more about issues such as course levels, course organization, and learning perception. This study provided tutors with novel implications for developing online courses, particularly computer science courses.",

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author = "Xieling CHEN and Di ZOU and Haoran XIE and Gary CHENG",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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CHEN, X, ZOU, D , XIE, H & CHENG, G 2020, What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. in Y NAH, C KIM, S-Y KIM, Y-S MOON & SE WHANG (eds), Database Systems for Advanced Applications. DASFAA 2020 International Workshops. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12115 LNCS, Springer, Cham, pp. 73-79. https://doi.org/10.1007/978-3-030-59413-8_6

What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. / CHEN, Xieling; ZOU, Di ; XIE, Haoran et al.
Database Systems for Advanced Applications. DASFAA 2020 International Workshops. ed. / Yunmook NAH; Chulyun KIM; Seon-Young KIM; Yang-Sae MOON; Steven Euijong WHANG. Springer, Cham, 2020. p. 73-79 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12115 LNCS).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses

AU - CHEN, Xieling

AU - ZOU, Di

AU - XIE, Haoran

AU - CHENG, Gary

PY - 2020/9/22

Y1 - 2020/9/22

N2 - In MOOCs, course reviews are valuable sources for exploiting learners’ attitudes towards the courses provided. This study employed an innovative structural topic modeling technique to analyze 1920 reviews of 339 courses regarding computer science to understand what primary concerns the learners had. Nine major topics, including course levels, learning perception, course assessment, teaching styles, problem solving, course content, course organization, critique, and learning tools and platforms were revealed. In addition, we investigated how the identified nine topics varied across reviews with different ratings. Results indicated that negative reviews tended to relate more to issues such as course assessment, learning tools and platforms, and critique, while positive reviews concerned more about issues such as course levels, course organization, and learning perception. This study provided tutors with novel implications for developing online courses, particularly computer science courses.

AB - In MOOCs, course reviews are valuable sources for exploiting learners’ attitudes towards the courses provided. This study employed an innovative structural topic modeling technique to analyze 1920 reviews of 339 courses regarding computer science to understand what primary concerns the learners had. Nine major topics, including course levels, learning perception, course assessment, teaching styles, problem solving, course content, course organization, critique, and learning tools and platforms were revealed. In addition, we investigated how the identified nine topics varied across reviews with different ratings. Results indicated that negative reviews tended to relate more to issues such as course assessment, learning tools and platforms, and critique, while positive reviews concerned more about issues such as course levels, course organization, and learning perception. This study provided tutors with novel implications for developing online courses, particularly computer science courses.

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CHEN X, ZOU D , XIE H, CHENG G. What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses. In NAH Y, KIM C, KIM SY, MOON YS, WHANG SE, editors, Database Systems for Advanced Applications. DASFAA 2020 International Workshops. Springer, Cham. 2020. p. 73-79. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2020 Sept 22. doi: 10.1007/978-3-030-59413-8_6

What Are MOOCs Learners’ Concerns? Text Analysis of Reviews for Computer Science Courses

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