大數據時代高等教育學生學習與核心素養:展望與挑戰

譚海萍, 李子建, 邱德峰

Research output: Contribution to journalArticle

Abstract

大數據時代的來臨為學生學習和發展提供了新的契機,當前已有不少高校和研究機構將大數據作為學生“學習分析”設計、管理和決策的依據。大數據也可用來評估大學生的核心素養,通過動態、系統、全面的數據網絡,將抽象、複雜的素養數據化,從而監測和評估學生核心素養的發展變化情況。大數據運用於學生學習和核心素養評核既有優勢,也存在一定的挑戰,如大數據的轉化、大數據的結構、大數據的共享與歸屬、評核手段的多元化以及評估中的協作等問題。未來高等教育可從做好學生“學習分析”的頂層設計;提升大數據的師資培訓;將大數據融入課程、教學與評估;建立動態、全面、系統、共享的大數據網絡等方面進行考量。
The advent of the big data era has provided a new opportunity for students to learn and develop. At present, many universities and research institutions have used big data as the basis for students’ "learning analysis" design, management and decision-making. Big data can also be used to monitor and assess students’ development and changes in core competence through a dynamic, systematic, and comprehensive data network, which can digitize abstract and complex competence. The use of big data for student learning and core competent assessment has both advantages and challenges, such as the transformation of big data, the structure of big data, the sharing and attribution of big data, the diversity of assessment methods, improving teacher training for big data, etc. Future higher education can be considered from such aspects as designing the "learning analysis" from the top level, improving teacher training for big data, integrating big data into curriculum, teaching and evaluation, establishing dynamic, comprehensive, systematic and shared big data networks, etc. Copyright © 2019 江西師範大學.
Original languageChinese
Pages (from-to)15-20
Journal江西師範大學學報 (哲學社會科學版)
Volume52
Issue number4
Publication statusPublished - Jul 2019

Citation

譚海萍、李子建和邱德峰(2019):大數據時代高等教育學生學習與核心素養:展望與挑戰,《江西師範大學學報 (哲學社會科學版)》,52(4),頁15-20。

Keywords

  • 大數據
  • 高等教育
  • 學習
  • 核心素養
  • Big data
  • Higher education
  • Learning
  • Core competences
  • Alt. title: The students’ learning and core competence of higher education in the age of big data: Prospects and challenges