学习分析视域下高校混合式“教”“学”探索与实践  

Research on Blended Teaching and HCI-based Learning Ability of College Students from the Perspective of Learning Analysis

作　　者：石贵民[1,2] 刘长勇 孟世敏[1] 张为慧 SHI Guimin;LIU Changyong;MENG Shimin;Zhang Weihui(The Key Laboratory of Cognitive Computing and Intelligent Information Processing of Fujian Education Institutions,Wuyishan,Fujian 354300;School of Mathematics and Computer Science,Wuyi University,Wuyishan,Fujian 354300;Academic Affairs Office,Wuyi University,Wuyishan,Fujian 354300;Editorial Department of Journal,Wuyi University,Wuyishan,Fujian 354300)

机构地区：[1]武夷学院认知计算与智能信息处理福建省高校重点实验室,福建武夷山34300 [2]武夷学院数学与计算机学院,福建武夷山354300 [3]武夷学院教务处,福建武夷山354300 [4]武夷学院学报编辑部,福建武夷山354300

出　　处：《武夷学院学报》2020年第9期75-80,共6页Journal of Wuyi University

基　　金：福建省本科高校重大教育教学改革研究项目(FBJG20180184);福建省精品线上线下混合式课程(SJKC2019119)。

摘　　要：“互联网+教育”为高校“教”“学”改革与创新提供了丰富的土壤。针对大学生课堂参与度低、学习动力不足、教学目标达成度不高等难点,文章基于认知神经学视角,运用学习分析技术构建了“五化一体”的混合式教学模式,并将之集成于“潜能在线”数字化学习环境中,融合跨平台、多载体的学习资源库,通过多终端、跨时空的在线导学和双主体、多手段的互动课堂,构建了多维度、深层次的问题空间图谱和重能力、多方法的思维训练框架。在人机交互环境下展开了基于历史教学数据和多元考核方式的教学诊断及调控实证,研究成果有助于提高学生解决问题的思维能力,提升高校大数据驱动下的自适应教学效果。"Internet+Education"has set off a wave in"teaching"and"learning"reform and innovation for colleges.Aiming at the difficulties of college students,such as lower class participation,insufficient learning motivation,and less achievement of teaching goals,using learning analysis technology from the perspective of cognitive neurology,a"five-in-one"hybrid teaching model has been built,which was integrated into"Qian Neng Online"digital learning environment.Merging a multi-platform and a multi-carrier learning resource library,through multi-terminal,cross-temporal online tutorials and dual-agent,multi-method interactive classrooms,a multi-dimensional anddeep-level problem space atlas were formed,anda thinking-training framework of multiple capabilities and methods was built.In the human-computer interaction environment,teaching control and diagnosis evidence based on historical teaching data and multiple assessment methods are researched and developed.The research results help to improve the higher-order thinking ability of students'problem solving,and enhance the effectiveness of adaptive teaching driven by big data in education.

关 键 词：学习分析 混合式教学 深度学习 学习动机 课堂参与边缘化 

分 类 号：G40-057[文化科学—教育学原理]