scholarly journals A Teaching Quality Evaluation System of Massive Open Online Courses Based on Big Data Analysis

2019 ◽  
Vol 14 (14) ◽  
pp. 81 ◽  
Author(s):  
Zhifang Wang ◽  
Jia Liu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Online Courses ◽  
Teaching Quality ◽  
Big Data Analysis ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Teaching Resources

Massive open online courses (MOOC) transcends the time and space limits of traditional classroom teaching, and promotes the sharing of teaching resources. However, the effect of this emerging teaching mode is yet to be determined. In this paper, the big data analysis is introduced to evaluate the MOOC teaching quality. Taking several online courses as an example, a video player was de-signed to compute the learning time using the Hadoop platform. On this basis, the author constructed a teaching quality evaluation platform. In addition, the learning cost coefficient was calculated by the naive Bayesian model, and the evaluation results were analysed in details. The research findings shed practical new light on the evaluation of MOOC teaching quality.

scholarly journals Research on Higher Vocational Network Teaching Quality Evaluation System Based on Big Data Analysis

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Xue-yan Li
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Evaluation System ◽  
Online Teaching ◽  
Quality Evaluation ◽  
Teaching Quality ◽  
Big Data Analysis ◽  
Network Teaching ◽  
Quality Evaluation System ◽  
Big Data Technology

Internet technology has developed rapidly, and online teaching has become the development trend of teaching in higher vocational colleges, which is conducive to modern learning methods for students and innovative teaching models for teachers. However, online teaching is still in the preliminary stage of development, and there is no unified standard for teaching quality evaluation. For this reason, big data technology can be integrated into the evaluation of higher vocational online teaching. This article first introduces the concept of online teaching quality evaluation, and then The application advantages of big data technology in the evaluation of network teaching quality are analyzed, and the key points of the construction of a higher vocational network teaching quality evaluation system based on big data analysis are explored in detail.

scholarly journals Massive open online courses in higher education: A data analysis of the MOOC supply

2016 ◽  
Vol 12 (5) ◽  
pp. 1401 ◽  
Author(s):  
Julieth E. Ospina-Delgado ◽  
Ana Zorio-Grima ◽  
María A. García-Benau
Keyword(s):  
Higher Education ◽  
Data Analysis ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online

scholarly journals Identification of Affective States in MOOCs

2018 ◽  
Vol 6 (12) ◽  
pp. 39-55
Author(s):  
Napoliana Souza ◽  
Gabriela Perry
Keyword(s):  
Machine Learning ◽  
Data Analysis ◽  
Learning Analytics ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Signal Recognition ◽  
Affective States ◽  
Massive Open Online ◽  
Data Intensive ◽  
Physiological Signal

Massive Open Online Courses (MOOCs) are a type of online coursewere students have little interaction,  no instructor, and in some cases, no deadlines to finisch assignments. For this reason, a better understanding of student affection in MOOCs is importantant could have potential to open new perspectives for this type of course. The recent popularization of tools, code libraries and algorithms for intensive data analysis made possible collect data from text and interaction with the platforms, which can be used to infer correlations between affection and learning. In this context, a bibliographical review was carried out, considering the period between 2012 and 2018, with the goal of identifying which methods are being to identify affective states. Three databases were used: ACM Digital Library, IEEE Xplore and Scopus, and 46 papers were found. The articles revealed that the most common methods are related to data intensive techinques (i.e. machine learning, sentiment analysis and, more broadly, learning analytics). Methods such as physiological signal recognition andself-report were less frequent.

Mining theory-based patterns from Big data: Identifying self-regulated learning strategies in Massive Open Online Courses

2018 ◽  
Vol 80 ◽  
pp. 179-196 ◽  
Author(s):  
Jorge Maldonado-Mahauad ◽  
Mar Pérez-Sanagustín ◽  
René F. Kizilcec ◽  
Nicolás Morales ◽  
Jorge Munoz-Gama
Keyword(s):  
Big Data ◽  
Learning Strategies ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Massive Open Online ◽  
Self Regulated Learning ◽  
Regulated Learning
Sign in / Sign up

Export Citation Format

Share Document