Visual Analysis of MOOC Forums with iForum

Fu, Siwei; Zhao, Jian; Cui, Wei; Qu, Huamin

doi:10.1109/tvcg.2016.2598444

Cited by 67 publications

(40 citation statements)

References 25 publications

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“…The spatial-temporal information of the peaks and the correlation between the peaks are visualized in two additional views. Fu et al [13] proposed iForum, a visual analytics system to understand the activities on MOOC forums. CMVs are used to present an overview of active users and threads, the detailed interactions of different user groups over time, and the dynamic patterns of threads.…”

Section: Related Workmentioning

confidence: 99%

CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data

Goulden¹,

Gronda²,

Yang³

et al. 2019

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As more and more college classrooms utilize online platforms to facilitate teaching and learning activities, analyzing student online behaviors becomes increasingly important for instructors to effectively monitor and manage student progress and performance. In this paper, we present CCVis, a visual analytics tool for analyzing the course clickstream data and exploring student online learning behaviors. Targeting a large college introductory course with over two thousand student enrollments, our goal is to investigate student behavior patterns and discover the possible relationships between student clickstream behaviors and their course performance. We employ higher-order network and structural identity classification to enable visual analytics of behavior patterns from the massive clickstream data. CCVis includes four coordinated views (the behavior pattern, behavior breakdown, clickstream comparative, and grade distribution views) for user interaction and exploration. We demonstrate the effectiveness of CCVis through case studies along with an ad-hoc expert evaluation. Finally, we discuss the limitation and extension of this work.

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Section: Related Workmentioning

confidence: 99%

CCVis: Visual Analytics of Student Online Learning Behaviors Using Course Clickstream Data

Goulden¹,

Gronda²,

Yang³

et al. 2019

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“…This category included papers focusing on the platform as the main research element. Papers covered topics such as platform usability (e.g., Yousef, Chatti, Schroeder, & Wosnitza, 2015), innovative tools (e.g., Fu, Zhao, Cui, & Qu, 2017), intelligent and adaptive systems (e.g., García-Peñalvo, Fidalgo-Blanco, & Sein-Echaluce, 2018), mediation and control (e.g., Nyoni, 2013), or the relationship between the pedagogical design and the platform design (e.g., Drake, O'Hara, & Seeman, 2015). Instructor-focused.…”

Section: Question Five: What Was the Main Focus Of These Case Studies?mentioning

confidence: 99%

Case Study as a Research Method for Analyzing MOOCs

Montes-Rodríguez

Martínez-Rodríguez

Fernández

2019

IRRODL

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Educational research is one of the many fields of knowledge that frequently use case studies as a research method, particularly when applying an interpretive approach. Based on literature reviews and a systematic analysis of current scientific literature, this paper examines the prevalence and characteristics of the case study as a methodology for research on MOOCs. Ninety-two documents were selected from the search results returned by two of the most prestigious scientific databases: Web of Science (WOS) and SCOPUS. Findings showed that (a) even when searching solely for case studies, quantitative research paradigms were more prevalent than interpretive approaches; (b) geographical distribution of these studies was partially biased; (c) case studies were less prevalent in these databases than other empirical investigations on MOOCs; (d) the data collection and data analysis methods most frequently used in the case studies were more aligned with a quantitative approach; and (e) there is still very little instructor-focused research using this methodology. In the light of these findings and their discussion, future directions for research using case study methodology are proposed, given the potential of this method to illustrate certain issues for which other approaches have proved inadequate or insufficient.

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“…Arc diagrams are also used in the recent work by Fu et al . [FZCQ17], whose system iForum uses multiple representations for visual analysis of MOOC forum data. Individual threads are represented by a combination of a river and an arc diagram called Thread River, and this representation can be user‐configured to display sentiment analysis results.…”

Section: Sentiment Visualization Techniquesmentioning

confidence: 99%