Use more than 46 million real data to explore the quality of education and teaching online

There is no class bell, no desk podium, just through a computer or a mobile phone, you can start curriculum learning anytime, anywhere -open university with long -range education as the main body? What is the effect of online learning? This is a topic that many netizens who want to learn in the clouds are very concerned. Recently, Jiangsu Open University released the "Special Supervision Report of the 2021 Autumn Academic Undergraduate Teaching Quality Monitoring" (hereinafter referred to as the "Report"), bringing together more than 46 million real data on the learning platform. The curriculum class and 61187 open students' online activities were carefully observed. With the help of analysis tools, the behavior characteristics of teaching and learning were studied, and a large number of charts presented the true quality of the school's online education and teaching.

The "Report" closely focuses on the keywords of "open" and "undergraduate", based on massive data, and uses big data analysis methods to analyze the teaching behavior and student learning behavior of the teaching behavior of the 2021 autumn semester of Jiangsu Open University. "Teacher's visit platform month/week/day active situation", "curriculum mentor review and timeliness of homework", "teacher assignment comment", "student posting and reply", "RFT student value classification", etc. The situation, issues and trends, and make suggestions for improvement, and provide a reference for decision -making for the reform of undergraduate education and teaching reform.

There are always dozens of teachers who are busy from late at night to early morning

Correcting homework in time is a positive feedback on students' learning

High -frequency words are closely related to learning

Among them, it is particularly worthy of attention to the learning situation of open learners and the intimate services of open education teachers. According to the "Report", teachers and students often swim in the clouds in the morning, noon, and afternoon, and share the charm of knowledge with the same frequency; teachers actively feedback and approve student homework in time. It is 97.56%, and the review ratio within 15 days is 99.36%. Each course mentor has an average of 5 homework per day; teachers are serious and responsible, provide teaching services attentive, and discuss posts released by teachers. "The end of the period", "development", "society", "learning", etc., are related to teaching content. Teachers often communicate with students in the forums and students to answer questions and solve doubts. Positive encouragement, the overall similarity of the course instructor for students' homework comments is only 30%; in terms of learning viscosity, most of them are general high -frequency deep -learning students and loyal high -frequency and deep -learning students. Generally, high -frequency and deep -learning students have a lot of learning, the frequency of logging in the learning platform is high, loyal high -frequency and deep -learning students have high enthusiasm for learning, and high frequency of participating in learning activities.

Since March 2021, Jiangsu University of Open University has released three consecutive periods of "Report". Take 20 undergraduate courses per semester to carry out big data analysis, use real data, analyze the real problems, put forward true suggestions, continue to use data to empower the quality of teaching quality, promote the refined, personalized, and standardized teaching services, guide students to learn diligently to learn , Emphasis on it, with quality and efficacy. As a "university of the people of Jiangsu", Jiangsu Open University will continue to carry out multi -dimensional teaching quality monitoring, improve the quality of teaching, and provide more satisfactory cloud teaching services.

(Chen Xi Ding Suyi)

Review: Pan Ruikai

Editor in charge: Xu Luping

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