On the afternoon of December8, 2020, the 19thof“International Distinguished Lecture Series”in 2020 was held bythe School of Foreign Languages.Professor Gavin Brownwasinvited togive an onlinelecture entitled“Educational Data: Challenging Analysis”via VooV Meeting. Professor Brown is Associate Dean Postgraduate Research and the Director of the Quantitative Data Analysis and Research Unit in the Faculty of Education and Social Work. Nearly200 teachers and students fromthe School of Foreign Languagesattended the lecture.
Before the lecture,Deanand Prof. Yang Chaojun,on behalf of the School of Foreign Languages, welcomed and thanked Prof. Brownfor giving thisupcoming online lecture to faculty members and students, and briefly introduced the educational experience, research fields and academic achievementsof Prof. Brown.The lecture was hosted byAssociate ProfessorMei Bing of Henan University.
At the beginning of the lecture, Prof.Brown pointed out,based ontheexperience in quantitative data analysis and research, he believedthat statistical datawasdifficult to understand. If we want to discover the truth in educational activities, weshouldmake greater efforts in statistical data analysis.First we need to start with the linear model, and then conduct further research.Prof.Brown mentioned that not all theorieswerecorrect.The theory of the laboratory may not apply todailylife.When faced with educational data analysis problems, we can userelevantdatato design experiments or conduct surveys.Then, he also used the Hawthorne effect, John Henry effect, Pygmalion effect and other examples to introduce the precautions and possible problems of experimental design.Finally, Prof.Brown concluded,the educational datawaschaotic and complicated. We need to make careful judgments and designs, use advancedtechniquesto explain data problems, and we need totreatingevery decision as a problem.
After the lecture,Prof. Brownanswered the questions raised bythe participants, and shared data analysis applications, such as jamovi.org and jasp-stats.org. This lecture helped the participants deepen their understanding of educational data analysis.(Author: Sun Mengwen)
