计算机网络教学智能学习环境的设计与实现

IF 3.2 Q1 EDUCATION & EDUCATIONAL RESEARCH Open Learning Pub Date : 2023-03-01 DOI:10.2478/eurodl-2023-0013
Geoff Woolcott, Vinh Bui
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引用次数: 0

摘要

在COVID-19大流行期间,向完全在线交付的过渡增加了学科和项目中已经存在的重大挑战,这些挑战需要实习、现场经验或动手实验室工作的组成部分。本文介绍了一项研究的初步结果,该研究响应了研究生计算学位中高级计算机网络主题的完全在线版本所带来的挑战。具体而言,该研究解决了与缺乏有效的教学方法以及缺乏在在线学习环境中进行动手实验工作的集成技术相关的挑战。研究结果来自于一个案例研究,比较了面对面授课与新开发的“智能学习环境”。研究结果表明,学生的结果和满意度水平,从两种交付模式是可比的。调查结果支持有目的设计的教学策略、综合技术和实际评估,并将其纳入有顺序和框架的活动中。目前正在进行进一步的研究,以确认这些变化的有效性,包括对该学科后续课程的学生表现数据进行案例研究,并纳入测试前测试后测试协议和随机试验。
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Design and implementation of a smart learning environment for teaching computer networking
Abstract The transition to fully online delivery in the COVID-19 pandemic has added to already existing and significant challenges in subjects and programs that require a component of practicum, on-site experience or hands-on laboratory work. This article presents initial results from a study that responds to challenges arising in moving to a fully online version of an advanced-level computer networking subject within a postgraduate computing degree. Specifically, the study addresses challenges related to a lack of effective teaching approaches combined with a lack of integrated technologies for conducting hands-on laboratory work in online learning environments. The findings presented are from a case study comparison of face-to-face delivery with a newly developed ‘smart learning environment’. Findings indicate that student results and satisfaction levels from the two modes of delivery were comparable. Findings support the purpose-designed instructional strategy, integrated technologies and practical assessments, set within sequenced and scaffolded activities. Further research is being undertaken to confirm the effectiveness of the changes, including case studies of students’ performance data from subsequent offerings of the subject and the inclusion of pre-test post-test protocols and randomised trials.
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来源期刊
Open Learning
Open Learning EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
10.00
自引率
12.50%
发文量
22
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