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Developing Capacity for Advanced Quantitative Methodology by Enhancing Learner Agency

通过增强学习者的能动性来发展高级定量方法的能力

基本信息

批准号：
1939401
负责人：
金额：
--
依托单位：
University of Stirling
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-1939401
关键词：
Developing Capacity Advanced Quantitative Methodology

项目摘要

Researchers and students in Psychology often find quantitative methodology difficult -disempowering because it relies on an unfamiliar language (maths), and disjointed because it ispresented as a set of unrelated procedures. Statistics is a hurdle both during time as anundergraduate and at later stages in studies and careers.However, quantitative methods are an essential and ever-evolving part of psychology, andproviding successful learning approaches is vital for both students and researchers. The proposedproject seeks to examine the benefits that can be gained from a new approach to learningquantitative methods developed by the applicant and proposed first supervisor. This newapproach uses purpose-written simulation software, BrawStats focused on design decisions, providing instantoutcomes using a graphical interactive interface to support advanced quantitative learning.This project will investigate learner agency as the key concept to changing outcomes. The mostsuccessful learners have 'high agency': they are independent, take initiatives and make decisionsin their learning, and have a degree of self-belief in their capabilities (Mercer, 2011; PersonalizeLearning, 2015). We adopt the ecological approach to agency (Biesta and Tedder, 2007) whichemphasises the joint roles of previous experience, present environment (social and physical) andexpectations of future progress, and apply it to learning, particularly within digital environments.Since the 1980s 'e-learning' and 'educational technology' researchers and developers haveadapted constructivist and social constructivist theories to account for the ways learning occurswhen using digital technologies (Ito 2010). These accounts suggest that (well-designed) digitalenvironments and resources can provide 'authentic' virtual contexts in which learners can solveproblems and take part in practices that simulate real-world activities, particularly when thesedigital environments enable participatory collaboration around shared challenges. The design of'digital epistemic games', which mirror the tasks found in professional occupations, is a primeexample of how e-learning has been successfully applied to the development of learner agency.Context:Strong negative views and a concern about standards currently exist within Psychology andbeyond, evidenced by recent events such as the replication crisis (OSF, 2015), which reported alow replication rate of ca. 40% for psychological studies. Although it is presumed that thispercentage is due to poor scientific rigour, it is equally true that the phenomenon demonstratesthe lack of advanced skills and understanding in researchers. Further, a recent meta-analysispublicised findings that a staggering 50% of papers published over a 28-year period containedquantitative statistical inconsistencies. While there are many researchers who are confident in their abilities and believe that the replicationcrisis is not quite as disastrous as it appears, it is clear from this paper that difficulties exist that must be addressed.

心理学的研究人员和学生经常发现定量方法很难--因为它依赖于一种不熟悉的语言（数学），而且因为它是一套不相关的程序而脱节。无论是在本科阶段还是在学习和职业生涯的后期阶段，统计学都是一个障碍。然而，定量方法是心理学的一个重要且不断发展的部分，提供成功的学习方法对学生和研究人员都至关重要。拟议的项目旨在研究的好处，可以从一个新的方法来学习定量方法开发的申请人和拟议的第一个主管。这个新的方法使用专门编写的模拟软件，BrawStats专注于设计决策，使用图形交互界面提供即时结果，以支持高级定量学习。这个项目将研究学习者主体作为改变结果的关键概念。最成功的学习者具有“高能动性”：他们独立，主动学习，并在学习中做出决定，对自己的能力有一定程度的自信（美世，2011;个性化学习，2015）。我们采用生态学的方法来处理代理问题（Biesta和Tedder，2007年），强调了以前的经验，现在的环境（社会和身体）和对未来进步的期望，并将其应用于学习，特别是在数字环境中。自20世纪80年代以来，学习”和“教育技术”的研究人员和开发人员已经适应了建构主义和社会建构主义理论，学习发生在使用数字技术时（伊藤2010）。这些账户表明，（精心设计的）数字环境和资源可以提供“真实”的虚拟环境，学习者可以解决问题，并参加模拟现实世界活动的实践，特别是当这些数字环境围绕共同的挑战实现参与式合作时。“数字认知游戏”的设计反映了专业职业中的任务，是电子学习如何成功应用于学习者主体发展的一个主要例子。背景：心理学内外目前存在强烈的负面观点和对标准的担忧，最近的事件证明了这一点，如复制危机（OSF，2015），报告了ca的低复制率。40%用于心理学研究。虽然人们认为这一比例是由于科学严谨性差，但同样真实的是，这一现象表明研究人员缺乏先进的技能和理解。此外，最近的一项荟萃分析显示，在28年的时间里，惊人的50%的论文包含定量统计不一致。虽然有许多研究人员对自己的能力充满信心，并认为复制危机并不像它看起来那样灾难性，但从这篇论文中可以清楚地看到，必须解决存在的困难。