Unfolding Sentimental and Behavioral Tendencies of Learners' Concerned Topics from Course Reviews in a MOOC

Autor/inn/en	Liu, Sannyuya; Peng, Xian; Cheng, Hercy N. H.; Liu, Zhi; Sun, Jianwen; Yang, Chongyang
Titel	Unfolding Sentimental and Behavioral Tendencies of Learners' Concerned Topics from Course Reviews in a MOOC
Quelle	In: Journal of Educational Computing Research, 57 (2019) 3, S.670-696 (27 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0735-6331
DOI	10.1177/0735633118757181
Schlagwörter	Course Evaluation; Online Courses; Student Attitudes; Course Content; Student Behavior; Instructional Effectiveness; Social Environment; Electronic Learning; Learning Analytics; Models; Student Interests; Sentences; Foreign Countries; Word Frequency; Interaction; Feedback (Response); Adolescents; Adults; Web Sites; China + Suchen Sie Ihr Suchwort? Online course; Online-Kurs; Schülerverhalten; Kursprogramm; Student behaviour; Unterrichtserfolg; Soziales Umfeld; Analogiemodell; Studieninteresse; Sentence analysis; Satzanalyse; Ausland; Word analysis; Frequency; Wortanalyse; Häufigkeit; Interaktion; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Web-Design
Abstract	Course reviews, which is designed as an interactive feedback channel in Massive Open Online Courses, has promoted the generation of large-scale text comments. These data, which contain not only learners' concerns, opinions and feelings toward courses, instructors, and platforms but also learners' interactions (e.g., post, reply), are generally subjective and extremely valuable for online instruction. The purpose of this study is to automatically reveal these potential information from 50 online courses by an improved unified topic model Behavior-Sentiment Topic Mixture, which is validated and effective for detecting frequent topics learners discuss most, topics-oriented sentimental tendency as well as how learners interact with these topics. The results show that learners focus more on the topics about course-related content with positive sentiment, as well as the topics about course logistics and video production with negative sentiment. Moreover, the distributions of behaviors associated with these topics have some differences. (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01