首页> 外文OA文献 >A mixed-methods exploration of an environment for learning computer programming
【2h】

A mixed-methods exploration of an environment for learning computer programming

机译:学习计算机编程环境的混合方法探索

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

A mixed-methods approach is evaluated for exploring collaborative behaviour, acceptance and progress surrounding an interactive technology for learningudcomputer programming. A review of literature reveals a compelling case for using mixed-methods approaches when evaluating technology-enhanced-learning environments.udHere, ethnographic approaches used for the requirements engineering of computing systems are combined with questionnaire-based feedback and skill tests. These are applied to the ‘Ceebot’ animated 3D learning environment. Video analysis with workplace observation allowed detailed inspection of problem solving and tacit behaviours. Questionnaires and knowledge tests provided broad sample coverage with insights into subject understanding and overall response to the learning environment. Although relatively low scores in programming tests seemingly contradicted the perception that Ceebot had enhanced understanding A mixed-methods approach is evaluated for exploring collaborative behaviour, acceptance and progress surrounding an interactive technology for learning computer programming. A review of literature reveals a compelling case for using mixed-methods approaches when evaluating technology-enhanced-learning environments. Here, ethnographic approaches used for the requirements engineering of computing systems are combined with questionnaire-based feedback and skill tests. These are applied to the ‘Ceebot’ animated 3D learning environment. Video analysis with workplace observation allowed detailed inspection of problem solving and tacit behaviours. Questionnaires and knowledge tests provided broad sample coverage with insights into subject understanding and overall response to the learning environment. Although relatively low scores in programming tests seemingly contradicted the perception that Ceebot had enhanced understanding of programming, this perception was nevertheless found to be correlated with greater test performance. Video analysis corroborated findings that the learning environment and Ceebot animations were engaging and encouraged constructive collaborative behaviours. Ethnographic observations clearly captured Ceebot’s value in providing visual cues for problem-solving discussions and for progress through sharing discoveries. Notably, performance in tests was most highly correlated with greater programming practice (p50.01). It was apparent that although students had appropriated technology for collaborative working and benefitted from visual and tacit cues provided by Ceebot, they had not necessarilyuddeeply learned the lessons intended. The key value of the ‘mixed-methods’ approach was that ethnographic observations captured the authenticity of learning behaviours, and thereby strengthened confidence in the interpretation of questionnaire and test findings.udof programming, this perception was nevertheless found to be correlated with greater test performance. Video analysis corroborated findings that the learningudenvironment and Ceebot animations were engaging and encouraged constructive collaborative behaviours. Ethnographic observations clearly captured Ceebot’sudvalue in providing visual cues for problem-solving discussions and for progress through sharing discoveries. Notably, performance in tests was most highlyudcorrelated with greater programming practice (p50.01). It was apparent that although students had appropriated technology for collaborative working and benefitted from visual and tacit cues provided by Ceebot, they had not necessarily deeply learned the lessons intended. The key value of the ‘mixed-methods’ approach was that ethnographic observations captured the authenticity ofudlearning behaviours, and thereby strengthened confidence in the interpretation of questionnaire and test findings.
机译:评估了一种混合方法,以探索协作性行为,接受性和围绕用于学习计算机编程的交互式技术的进步。文献综述揭示了在评估技术增强型学习环境时使用混合方法的令人信服的案例。 ud此处,用于计算系统需求工程的人种学方法与基于问卷的反馈和技能测试相结合。这些将应用于“ Ceebot”动画3D学习环境。通过对工作场所观察的视频分析,可以对问题解决和默认行为进行详细检查。问卷调查和知识测验提供了广泛的样本覆盖范围,并深入了解了主题理解和对学习环境的整体反应。尽管在编程测试中得分较低,这似乎与Ceebot增强了理解的看法相矛盾。对混合方法的方法进行了评估,以探索围绕交互式计算机学习编程技术的协作行为,接受程度和进步。文献回顾显示,在评估技术增强型学习环境时,有必要采用混合方法。在这里,用于计算系统需求工程的人种学方法与基于问卷的反馈和技能测试相结合。这些将应用于“ Ceebot”动画3D学习环境。通过对工作场所观察的视频分析,可以对问题解决和默认行为进行详细检查。问卷调查和知识测验提供了广泛的样本覆盖范围,并深入了解了主题理解和对学习环境的整体反应。尽管编程测试中相对较低的分数似乎与Ceebot增强了对编程的理解的看法相矛盾,但仍发现这种看法与更高的测试性能相关。视频分析证实了学习环境和Ceebot动画引人入胜的发现,并鼓励了建设性的协作行为。人种学观察清楚地体现了Ceebot的价值,即为解决问题的讨论和通过共享发现取得进展提供视觉提示。值得注意的是,测试性能与更好的编程实践高度相关(p50.01)。显然,尽管学生已经将技术用于协作工作并从Ceebot提供的视觉和默示提示中受益,但他们并不一定深入学习了预期的课程。 “混合方法”方法的关键价值在于,人种学的观察可以捕捉到学习行为的真实性,从而增强了对问卷和测试结果解释的信心。 udof编程,尽管如此,这种看法仍被认为与更高的测试相关性能。视频分析证实了学习环境和Ceebot动画的吸引力,并鼓励了建设性的协作行为。人种学观察清楚地体现了Ceebot的 udvalue在提供视觉线索以解决问题的讨论以及通过共享发现而取得的进步。值得注意的是,测试性能与更高的编程实践高度/不相关(p50.01)。显然,尽管学生已经将技术用于协作工作并从Ceebot提供的视觉和默示线索中受益,但他们并不一定会深刻地学习预期的课程。 “混合方法”方法的关键价值在于,人种学的观察可以捕捉到“学习行为”的真实性,从而增强了对问卷和测试结果解释的信心。

著录项

  • 作者

    Mather Richard;

  • 作者单位
  • 年度 2015
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号