首页|面向深度学习的融合式教学对核心能力与体验成效影响研究

面向深度学习的融合式教学对核心能力与体验成效影响研究

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以虚拟现实技术、ChatGPT、Sora为代表的新兴技术为教学带来了强劲的动力与支撑,推动产生融合式教学新形态,同时对于人才培养也提出了新要求,即培养学生的高阶思维和迁移等核心能力.在梳理文献研究的基础上,构建由深度学习目标模块(能力层、体验层与效果层)与融合式教学实施模块(技术层、学习活动层与引导活动层)组成的面向深度学习的融合式教学实施框架,从核心素养能力、元认知能力、学习行为、教学活动、满意度5个维度验证了该框架可有效促进学生核心能力与体验成效的提升,达成高质量教学与学习的目的.面向深度学习的融合式教学框架为智能支持的深度学习与融合式教学实施提供了参考.
Research on the Influence of Deep Learning-Oriented Integrated Teaching on Core Competence and Experience Effectiveness
Emerging technologies such as virtual reality,ChatGPT,and Sora have brought strong impetus and support to teaching,promoting the emergence of new forms of integrated teaching.At the same time,they have also put forward new requirements for talent cultivation,name-ly cultivating students'core abilities such as higher-order thinking and transfer.On the basis of literature review,a deep learning oriented inte-grated teaching implementation framework was constructed,consisting of a deep learning objective module(ability layer,experience layer,and effectiveness layer)and an integrated teaching implementation module(technology layer,learning activity layer,and guidance activity layer).The framework was validated from five dimensions:core literacy ability,metacognitive ability,learning behavior,teaching activities,and satisfaction,and was found to effectively promote the improvement of students'core abilities and experience effectiveness,achieving the goal of high-quality teaching and learning.The integrated teaching framework for deep learning provides a reference for the implementation of intelligent supported deep learning and integrated teaching.

deep learningintegrated teachingintelligent technologycore competenceexperience effect

俞智慧、李富智、刘金华、喻晓、俞韵汐

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上饶师范学院 数学与计算科学学院

上饶师范学院 数字技术应用产业学院,江西 上饶 334001

南昌大学共青学院 经济管理学院,江西 九江 332020

深度学习 融合式教学 智能技术 核心能力 体验成效

2024

软件导刊
湖北省信息学会

软件导刊

影响因子:0.524
ISSN:1672-7800
年,卷(期):2024.23(12)