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Examining the Effect of Different Measurements of Learning Success in Technology-mediated Learning Research

机译:在技​​术为中介的学习研究中检验学习成功的不同衡量指标的影响

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This research-in-progress paper examines the effects of different measurement methods for learning success with respect to the empirical evaluation of technology-mediated learning (TML). We argue that the use of self-reported data for the major dependent variable of TML, learning success, is insufficient and a major validity threat of past research results; thus, we examine the effect of employed measurement methods in TML against the background of common method variance. We are currently conducting a study on the antecedents of learning success measured by three different approaches that include self-reported learning and objective learning success. By analyzing the data, we are able to investigate how different measurement approaches to learning success impact research findings. Our contribution to theory and practice is an assessment of the validity of self-reported learning success measures and the impact of different measurement approaches for the relationships in a TML model.
机译:这项正在进行中的研究论文考察了对技术中介学习(TML)的经验评估方面不同的测量方法对学习成功的影响。我们认为,将自我报告的数据用于TML的主要因变量(学习成功)是不够的,并且对过去的研究结果构成主要的有效性威胁;因此,我们在通用方法差异的背景下研究了TML中采用的测量方法的效果。我们目前正在通过三种不同的方法对学习成功的前因进行研究,这些方法包括自我报告的学习和客观学习的成功。通过分析数据,我们能够研究学习成功的不同衡量方法如何影响研究结果。我们对理论和实践的贡献是对自我报告的学习成功测度的有效性以及TML模型中各种测度方法对关系的影响的评估。

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