混合式学习环境中基于学习者特征的个性化教学策略研究

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH International Journal of Information and Communication Technology Education Pub Date : 2024-07-16 DOI:10.4018/ijicte.346823
Bing Liu, Dongbin Yuan
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引用次数: 0

摘要

在混合式学习环境中实施个性化教学的努力面临着各种挑战,例如学习者需求的多样性;教育工作者必须找到识别、理解和解决这些差异的方法。本研究探讨了如何在混合式学习环境中构建学习者档案模型,根据学习者档案制定个性化教学策略,并评估这些策略的有效性。研究结果表明,个性化教学策略能显著提高学习者的参与度、自主性和学习成绩。通过对教师和学生进行满意度调查,这些策略得到了验证。本研究为个性化教学提供了理论框架和实践指导,同时也强调了实施过程中的挑战。建议今后的研究扩大样本量,整合定量和定性研究方法,更加关注学习者的个性化需求,以进一步提高个性化教学策略的实用性和有效性。
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Research on Personalized Teaching Strategies Based on Learner Profiles in a Blended Learning Environment
The effort to implement personalized teaching in blended learning environments faces various challenges, such as the diversity of needs among learners; educators must find ways to identify, understand, and address these differences. This study explores how to construct a learner profile model in blended learning environments, develop personalized teaching strategies based on learner profiles, and evaluate the effectiveness of these strategies. The results demonstrate that personalized teaching strategies significantly enhance learner engagement, autonomy, and academic performance. These strategies have been validated through satisfaction surveys conducted with both teachers and students. The study provides a theoretical framework and practical guidance for personalized teaching while also highlighting challenges in implementation. It is recommended that future research expand sample sizes, integrate quantitative and qualitative research methods, and pay closer attention to learners' personalized needs to further enhance the practicality and effectiveness of personalized teaching strategies.
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来源期刊
CiteScore
4.20
自引率
10.00%
发文量
26
期刊介绍: IJICTE publishes contributions from all disciplines of information technology education. In particular, the journal supports multidisciplinary research in the following areas: •Acceptable use policies and fair use laws •Administrative applications of information technology education •Corporate information technology training •Data-driven decision making and strategic technology planning •Educational/ training software evaluation •Effective planning, marketing, management and leadership of technology education •Impact of technology in society and related equity issues
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