Standard V - Theoretical Foundations

Artifact Description:

In the Spring of 2020, I collaborated with Dr. Misook Heo and investigated the system-populated social comparison visuals on individuals' self-evaluations and consequent performance in everyday objects' mechanics. During the Innovate Learning Summit by AACE (Nov 3 - Nov 5, 2020), I presented our manuscript on Feedback of self-evaluation and learning performance. The manuscript demonstrated my knowledge of the theoretical foundations of empirical research in educational technology. The study investigated the impact of visual feedback on engagement in self-evaluation and learning performance and the association between engagement in self-evaluation and learning performance. The results of the study provided insights into the effect of learners’ self-monitoring of effort on learning performance.

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Reflection and Rationale:

This artifact demonstrated my foundational knowledge of the contribution of research to the past and current theory of educational communications and technology. System-generated feedbacks are prevalent in a variety of forms in e-learning and self-directed learning environments. However, there are limited studies on the effect of feedback on self-evaluation on the learning outcomes of students. To write the literature review for the topic, I conducted comprehensive research on the past and current theories on system-generated feedbacks in the research databases. I read a huge amount of peer-reviewed journal articles on theories including social comparison theory, self-directed learning theory, self-regulation, and self-evaluation, etc. I was overwhelmed by the great contributions of the empirical research to the foundational theories on educational communications and technology. I admired researchers who spent countless hours on the inquiry of questions in educational technologies to improve the learning outcomes of students. Their research inspired me to become a researcher who would make contributions to building theories and inform the researchers and practitioners in the newly emerging field of learning science.

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Reference: 

Wang, Z. & Heo, M. (2020). Feedback for self-evaluation and learning performance. In T. Bastiaens & G. Marks (Eds.), Proceedings of Innovate Learning Summit 2020 (pp. 400-408). Association for the Advancement of Computing in Education (AACE). Retrieved July 3, 2021 from https://www.learntechlib.org/primary/p/218829/.