Effect of Online and Offline Blended Teaching of College English Based on Data Mining Algorithm

Chaoqun Wu ()
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Chaoqun Wu: Shijiazhuang University, Shijiazhuang, Heibei 050035, P. R. China

Journal of Information & Knowledge Management (JIKM), 2022, vol. 21, issue Supp02, 1-14

Abstract: Blended teaching is a kind of teaching that combines online teaching with traditional teaching, which is defined as “online and offline†. Through the organic combination of these two teaching forms, students’ learning can be from shallow to deep. Therefore, based on the data mining algorithm, this paper designs the method of College English online and offline blended teaching effect. First, it collects the College English blended teaching resources, then builds the College English online and offline teaching support, debugs the College English teaching environment, and finally designs the College English blended teaching model based on the data mining algorithm, so as to realize the College English online and offline blended teaching, The experiment shows that the method designed in this paper can effectively improve the reading ability of College English, and has certain application value.

Keywords: Data mining algorithm; College English; on-line; offline; mixed teaching method (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0219649222400238

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