2018
DOI: 10.1504/ijwbc.2018.094915
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Understanding the motivation in massive open online courses: a Twitter mining perspective

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Cited by 7 publications
(5 citation statements)
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“…However, this research is only an analysis of the teaching experience of large-scale online open courses, and this is not the only factor that affects online open courses [1]. Panigrahi and Srivastava used the Twitter data related to motivation on MOOC for text mining and found that users have a positive attitude towards MOOC motivation, and the entities that affect users are popular users on Twitter [2], but the research is only a mining perspective on Twitter. After finding that the completion rate of large-scale online public courses was very low and the existing analysis focused on resource access patterns and the use of learning analysis to predict dropout patterns, Sinclair and Kalvala assessed that the scope of MOOC can be achieved in the context of enriching the conceptualization of student participation [3].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, this research is only an analysis of the teaching experience of large-scale online open courses, and this is not the only factor that affects online open courses [1]. Panigrahi and Srivastava used the Twitter data related to motivation on MOOC for text mining and found that users have a positive attitude towards MOOC motivation, and the entities that affect users are popular users on Twitter [2], but the research is only a mining perspective on Twitter. After finding that the completion rate of large-scale online public courses was very low and the existing analysis focused on resource access patterns and the use of learning analysis to predict dropout patterns, Sinclair and Kalvala assessed that the scope of MOOC can be achieved in the context of enriching the conceptualization of student participation [3].…”
Section: Introductionmentioning
confidence: 99%
“…(1) rough a combination of theoretical analysis and empirical investigation, it explores the effect of online open courses. (2) e application of the analytic hierarchy process and the Delphi method to the construction of the university online open curriculum certification indicator system further improves the construction of online open curriculum resources and also improves the operability and rationality of the indicator system.…”
Section: Introductionmentioning
confidence: 99%
“…El "Engagement" (13.4%), término comúnmente utilizado para referirse al concepto "compromiso escolar" es un tema que despertaba en los inicios de los MOOC una enorme expectativa, en tanto se desconocían los factores que generaban interés y motivación en los estudiantes, dada la magnitud de los grupos que conformaban estos cursos y sus tasas altas de deserción. Al respecto, estos estudios frecuentemente se han centrado en el análisis del comportamiento del estudiante, de sus percepciones y sus capacidades para generar compromiso desde cuatro dimensiones: la cognitiva, la afectiva, comportamental y agéntica (Cuevas, García-Calvo, González, & Fernández-Bustos, 2018;Gershon & Pellitteri, 2018 Ejemplos de lo anterior se pueden encontrar en: Donitsa-Schmidt & Topaz (2018), Cheung (2017), Kaveri et al (2016), Ferguson et al (2015, Salmon et al (2017), Panigrahi & Srivastava (2018), Xiao et al (2017), Sinclair & Kalvala (2016).…”
Section: Los Que Están En Decliveunclassified
“…The paper thus presents a dynamic nation-wide and state-wise sentiment distribution and emotion analysis model. The Twitter Application Programming Interface (API) was used for tweet extraction based on keywords related to CAA, NRC, and NPR and for further analysis due to its amenability to textual mining and sentiment analysis (Fang & Zhang, 2015;Panigrahi & Srivastava, 2018;Naiknaware et al,2019). Thus, the divergent opinions on this topic were proposed to be gauged in the paper through the Twitter platform to identify the loopholes and provide customized recommendations on how the Act can be reframed and conveyed with a more amicable tone to improve public perceptions.…”
Section: Introductionmentioning
confidence: 99%