在游戏化的在线会计课程中,通过各种变量预测学生的学习成果
Murat Sercemeli1, Ozlem Baydas Onlu2
1Department of Business Administration, Giresun University, Giresun, 28000 Turkey.
概括
在游戏化学习环境 (GLE) 中,学生的参与度和预期结果预测了感知到的学习和学业成绩. 在基于Kahoot的研究中,高参与度也与快速解答测试相关.
科学领域:
- 教育技术的教育技术
- 学习科学 学习科学
- 高等教育 高等教育
背景情况:
- 游戏化学习环境 (GLE) 越来越多地用于提高学生的参与度和学习成果.
- 在GLE中理解学生情绪,行为和学习之间的相互作用对于有效实施至关重要.
- 现有的研究往往侧重于游戏化的特定方面,需要详细检查其对各种学习指标的影响.
研究的目的:
- 在游戏化学习环境 (GLE) 中调查学生的情绪和行为.
- 为了确定不同的变量如何预测知觉的学习,学术成绩和GLE分数.
- 在GLE中分析参与水平,参与度和绩效之间的关系.
主要方法:
- 采用了非实验相关性和比较性研究设计.
- 管理了一个规模,从参与者收集数据.
- 这项研究涉及40名本科生在使用Kahoot作为GLE工具的会计2课程.
主要成果:
- "预期结果"和"参与"显著预测了"感知学习".
- "预期结果"也是"学术成绩"的重要预测指标.
- 参与度和GLE成绩之间的相关性在中期前和后有所不同,高参与度与更快的测试完成有关.
结论:
- 游戏化学习环境,特别是当包含"预期结果"和"参与"等元素时,可以积极影响感知到的学习和学术成功.
- GLE的实用性,乐趣和强化方面是值得注意的贡献,尽管存在问题可见性和时间限制等局限性.
- 进一步的研究应该探索优化GLE机制,以解决已识别的局限性,并最大限度地提高学习效益.
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