首页> 外文学位 >Creativity-Based Music Learning: Modeling the Process and Learning Outcomes in a Massive Open Online Course.
【24h】

Creativity-Based Music Learning: Modeling the Process and Learning Outcomes in a Massive Open Online Course.

机译:基于创造力的音乐学习:在大规模开放在线课程中对过程和学习成果进行建模。

获取原文
获取原文并翻译 | 示例

摘要

While developing creativity is an important goal of many educational endeavors, creating music, from a music education perspective, is a powerful pedagogical tool. Beyond comparing the relative creativity of individuals' musical creative products (e.g., melodies, songs, lyrics, beats, etc.), research in musical creativity must consider how engaging in the creative process can be an effective teaching tool, what I have termed creativity-based music learning. If music teachers are to develop students' abilities "to experience music as meaningful, informed by sensitive discernments and broad understandings, in each particular musical role engagement in which one becomes involved" (Reimer, 2003, p.214), then we must gain a better understanding of how different aspects of the person and context interact during the creative process.;Based on the available literature, Webster (1987a, 2002) conceived the Model of Creative Thinking in Music as a conceptual model for understanding the importance of various components that are at work in the musical creative process. Since, generally speaking, learning results from thinking of some sort, Webster's model represents a reasonable starting point from which to examine how musical creative thinking leads to musical learning. There is much research in music education and the general creativity literature that has investigated how these various component parts (e.g., music aptitude, personality, motivation, previous experience, context) relate to creativity, but there has yet to be any substantive attempt to understand how all of these various elements simultaneously interrelate during a given musical creative process. More importantly, there is limited research on how creativity-based music learning contributes to important learning outcomes such as students' perceptions of learning from the process, students' self-evaluations of creative products (e.g., songs they have written), the development of conceptual understandings, and the development of musical creative self-efficacy.;The initial primary purpose of this study was to develop and identify a statistical model that best represents the nature of the various interrelationships of components of the musical creative process, as identified in Webster's (2002) model, and as they relate to learning outcomes. Understanding how all of these components relate and ultimately impact various learning outcomes has important implications for how we educate our music students.;Data were collected from students taking a Massive Open Online Course entitled "What is Music?: Finding Your Song," which was designed, developed, and taught by the researcher, and offered in January 2014 through the Canvas Network. In the course, the question "what is music?" was approached from several perspectives, including Music as Human Activity, Music as Emotion, Music as Physics, and Music as Form. While learning about each perspective, students were encouraged to engage with and complete various musical creative projects (e.g., creating a representative playlist, writing lyrics, writing a melody, writing a song). Such an educational context in which creativity is used as a pedagogical tool provided an opportunity for studying the educational outcomes of such an approach. Embedded within the course were measures of several predictors of learning (based on Webster's model), including past experience in music, personality, music aptitude, contextual support, musical creative self-efficacy, motivation, and situational engagement.;Initial analysis plans included the use of structural equation modeling to (1) compare and contrast the statistical fit of competing models; and (2) examine how each of these constructs not only relate to each other, but also how they each contribute (uniquely and in combination) to various learning outcomes, including perceptions of learning, self-evaluations of creative products, and musical creative self-efficacy. However, a sufficient number of students did not engage in and complete the creative projects, nor did a sufficient number of students complete all of the research items, in order to examine the full structural model. When it became apparent that sufficient data would not be available, the study was re-envisioned to examine questions about why students chose to participate or not participate in the creative music-making projects.;Data were collected from 281 students, and although missing data was quite extreme for variables measured late in the course (e.g., motivation), large amounts of data were available regarding students' past experience in music, their expectations regarding participation as MOOC learners, and demographic information (e.g., age, gender, education, language, geographic region). The available data were used in an exploratory manner to derive a model for predicting creative project participation in the course.;The sole important predictor of project participation was whether students identified themselves as an "active participant" at the beginning of the course, although this variable explained only a small amount of variability in project participation. Follow-up analyses for group differences in Active Participant (individuals who identified themselves as "active participants" versus all other Types of Learners) found that "active participants" had significantly higher levels of Musical Creative Self-Efficacy, greater perceptions of the learning context as challenge-supportive, and higher scores on the Openness personality factor. Notably, students' Past Experience in Music appeared to be unrelated to both whether they intended to participate in the creative music-making projects and whether they actually participated in the projects.;In addition to the primary MOOC study, the development and initial validation procedures and results for two new research instruments utilized in the MOOC study, the Past Experience in Music Inventory (PEMI) and the Musical Creative Self-Efficacy Scale (MCSES), are described in detail. The latent class measurement model utilized for measuring Past Experience in Music is a unique and potentially valuable approach for measuring this important variable in music research of all kinds.;Finally, an exploratory analysis of all zero-order rank-order intercorrelations of all non-nominal variables indicated some initial support for the General Specified Model of Creativity-Based Learning. It was not possible to take the next step with the model: to prune it, alter it, or reject it altogether, but when viewed as a very large-scale pilot study, this study did provide enough evidence to warrant investing the considerable amount of resources necessary to take that next step.;Implications for creativity-based music learning and the significance of MOOCs and MOOC research are discussed. In particular, music MOOCs represent an opportunity to fill in some much needed space for lifelong learning. However, if we are to promote lifelong musical engagement, then the pedagogy within a MOOC should also promote engagement. As such, questions and further research regarding such engagement, especially within a creativity-based learning framework, are central to better understanding how to promote and facilitate lifelong musical engagement and musical learning.
机译:尽管发展创造力是许多教育事业的重要目标,但从音乐教育的角度来看,创作音乐是一种强大的教学工具。除了比较个人音乐创作产品(例如旋律,歌曲,歌词,节拍等)的相对创造力之外,音乐创造力的研究还必须考虑如何参与创作过程才能成为有效的教学工具,我称之为创造力基于音乐的学习。如果音乐教师要发展学生的能力,“通过敏感的洞察力和广泛的理解,使音乐在有意义的体验中,参与其中的每一个特定的音乐角色参与”(Reimer,2003,p.214),那么我们必须获得韦伯斯特(1987a,2002)基于现有文献,将音乐中的创造性思维模型构想为一种概念模型,用于理解各个组成部分的重要性。在音乐创作过程中发挥作用。一般来说,由于学习是某种思维的结果,因此韦伯斯特的模型代表了一个合理的出发点,可以用来考察音乐创造性思维如何导致音乐学习。音乐教育和一般创造力文献中有大量研究调查了这些各个组成部分(例如,音乐才能,性格,动机,以前的经历,背景)与创造力之间的关系,但尚未进行任何实质性的尝试来理解在给定的音乐创作过程中,所有这些不同元素如何同时相互关联。更重要的是,关于基于创造力的音乐学习如何促进重要学习成果的研究有限,例如学生对过程学习的看法,学生对创意产品(例如,他们写的歌曲)的自我评价,音乐作品的发展。概念理解,以及音乐创作自我效能的发展。;本研究的最初主要目的是开发和确定一种统计模型,该模型最能代表音乐创作过程各个组成部分之间相互关系的性质,正如韦伯斯特(Webster)所指出的那样。 (2002年)模型,以及它们与学习成果有关的模型。了解所有这些因素之间的关系并最终影响各种学习成果,对我们对音乐学生的教育方式具有重要意义。;数据是从参加名为“什么是音乐?:找到您的歌曲”的大规模在线在线课程的学生那里收集的,由研究人员设计,开发和教授,并于2014年1月通过Canvas Network提供。在课程中,问题是什么是音乐?从多种角度探讨了音乐,包括音乐作为人类活动,音乐作为情感,音乐作为物理以及音乐作为形式。在学习每种观点的同时,鼓励学生参与并完成各种音乐创作项目(例如,创建代表播放列表,写歌词,写旋律,写歌)。这种将创造力用作教学工具的教育环境为研究这种方法的教育成果提供了机会。本课程中嵌入了一些学习预测指标的衡量标准(基于Webster模型),包括过去的音乐经验,性格,音乐才能,语境支持,音乐创造力自我效能,动机和情境参与度;初始分析计划包括使用结构方程建模来(1)比较和对比竞争模型的统计拟合; (2)研究这些结构中的每一个不仅如何相互关联,还研究它们如何(唯一地和组合地)对各种学习成果做出贡献,包括学习的感知,创意产品的自我评价和音乐创意自我-功效。但是,为了检查完整的结构模型,没有足够的学生没有参与并完成创意项目,也没有足够的学生完成所有研究项目。当显然没有足够的数据可用时,重新设想了该研究,以研究有关学生为何选择参加或不参加创意音乐制作项目的问题。;数据来自281名学生,尽管缺少数据对于课程后期测得的变量(例如动机)而言,这是非常极端的事情,有关学生过去的音乐经验,他们对作为MOOC学习者的参与的期望以及人口统计信息(例如年龄,性别,教育程度,语言,地理区域)。现有的数据以探索性的方式用于得出预测课程中创造性项目参与的模型。项目参与的唯一重要预测因素是学生在课程开始时是否将自己确定为“积极参与者”,尽管这变量仅解释了项目参与中的少量变化。对积极参与者(将自己确定为“积极参与者”与所有其他类型的学习者的个体)进行小组差异的后续分析发现,“积极参与者”的音乐创作自我效能水平明显更高,对学习环境的认知更高作为挑战支持者,在开放性人格因子上得分更高。值得注意的是,学生的过去音乐经验似乎与他们是否打算参加创意音乐制作项目以及他们是否实际参与项目无关;除了主要的MOOC研究,开发和初始验证程序外,并详细介绍了MOOC研究中使用的两种新研究工具的结果,即过去音乐清单经验(PEMI)和音乐创作自我效能感量表(MCSES)。用于测量音乐过去经验的潜在类别测量模型是一种独特的且可能有价值的方法,用于测量各种音乐研究中的这一重要变量。最后,对所有非音乐类的所有零阶等级相关性进行探索性分析。名义变量表示对基于创造力的学习的通用模型的初步支持。无法对该模型进行下一步:修剪,更改或完全拒绝它,但是当被视为大规模的初步研究时,该研究确实提供了足够的证据,可以保证对相当数量的产品进行投资。进行下一步工作所需的资源。讨论了基于创造力的音乐学习的意义以及MOOC和MOOC研究的意义。特别是,音乐MOOC代表了为终身学习填补一些急需的空间的机会。但是,如果我们要促进终身的音乐互动,那么MOOC内的教学法也应该促进互动。因此,有关这种参与的问题和进一步的研究,尤其是在基于创造力的学习框架内,对于更好地理解如何促进和促进终身的音乐参与和音乐学习至关重要。

著录项

  • 作者

    Stefanic, Nicholas M.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Music education.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 284 p.
  • 总页数 284
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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