Comprehensively promote teaching reform and accelerate the interdisciplinary integration of disciplines and majors. On July 30, 2023, Post and Telecommunications Publishing Co., Ltd., Shanghai Hejin Information Technology Co., Ltd. (hereinafter referred to as "Hejing Technology"), China University of Petroleum (East China) in Shandong Province The " Training Camp for Advanced Improvement of the Teaching Ability of Economics and Management Big Data Courses under the Background of Digital Transformation" (hereinafter referred to as "Teaching Training Camp") - Offline Courses hosted by the Big Data Talent Training Demonstration Base came to a successful conclusion.
This course is the offline part of the teaching training camp. More than 30 key teachers from more than 20 colleges and universities all over the country gathered together to receive a 3-day training in the form of a combination of learning and practice . One-to-one leads and guides the completion of curriculum design, comprehensive teaching case development, teaching implementation and other related work , promotes new classroom teaching models, and comprehensively improves teachers' teaching level and practical ability in data science and data analysis.
Theory guides thinking and updates educational concepts
The course of the offline training camp is divided into two modules: special report and group practice. The teacher of the special report is Mr. Zhao Hong, a professor of the School of Computer Science, Nankai University . From "why is it difficult to cultivate excellent talents" to "what do I hope my students will take away from my courses", Teacher Zhao followed the guidance and guided the teachers present to reflect on their existing problems in the teaching process through asking questions, and through the "problem-based logical cognitive model " Outcome-Oriented Education (POT-OBE) " concept, showing the teaching plan design ideas, teaching paths and evaluation methods, as well as the method of concisely summarizing teaching results, etc., to effectively improve the classroom teaching effect and teaching quality, and help teachers construct the concept of OBE systematic cognition.
During the discussion, the "novice teacher" who had never taught a class sat together with the "senior teacher" with more than 20 years of teaching experience. During the heated exchange, not only formed the teaching ideas of the economics and management big data course, but also aroused Their respective understandings and original intentions for the word "education" .
"There are close to 6,000 students on my WeChat, and now I still answer the social problems encountered by the 2,000-level students on QQ." "I didn't
take a class before, and I was a little confused, but now I think about it, What I want students to take away from my classroom is the ability to learn for life.";
"What is a teacher? Learn to be a teacher, and be a model."
Practice condenses true knowledge, and courses are implemented efficiently
The teachers of the practical module are Liu Yan, an associate professor at the School of Data Science and Engineering, Department of Informatics, East China Normal University, and Zhao Qi, a lecturer at the School of Artificial Intelligence, Tianjin University of Science and Technology. Different from computer courses, the big data courses of the School of Economics and Management need to focus more on business value, that is, how to apply the results of data analysis to the business of the enterprise and draw conclusions that support business development. In the course, the two teachers took the trainee teachers to be able to effectively complete the teaching plan of a course of economics and management big data analysis as the ultimate goal. Through the explanation interspersed with drills and comments, from the design of the teaching plan to the design of teaching activities to the overall course Design progressively, share the most practical teaching ideas and methods, and help teachers gradually establish a "student-centered" teaching cognition.
Considering that there are certain differences in the programming abilities of the teachers participating in this training, in order to ensure the learning experience and teaching effect, the practical part mainly relies on the ModelWhale data mining analysis teaching-training platform independently developed by Hejing . The platform provides a practice environment integrating text, code, and low-code, as well as massive data and case resources in the Hejing community, which has been well received by teachers. The product function design that emphasizes the cultivation of data thinking is also very suitable for the academic situation of economics and management students. Basics and learning needs.
Join Hands with Whale to Cultivate Applied Data Science Talents
The three-day offline course has come to an end, and the follow-up teachers still need to complete three months of online courses. It is both the end and the starting point, just like the talent cultivation work in colleges and universities, which needs continuous innovation and advancing with the times.
Based on the new vision of national higher education, Hejing has been assisting colleges and universities to promote education reform and curriculum reform for a long time. According to the OBE result-oriented education model , it integrates the powerful data science collaboration platform ModelWhale, the Hejing community with rich practical case resources, and Hejing Branch Years of competition experience and competition modules have built a product + resource + service system, which has been applied to the construction of data science-related professional (course) systems in many colleges and universities. For any related needs, you are welcome to search and enter the ModelWhale official website to register for experience and communicate with us.