从动机成分到学业成就预测

Tao Wu, Maiga Chang
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引用次数: 5

摘要

本研究旨在探讨新冠肺炎大流行背景下混合学习环境中自我效能感(SE)、自我调节学习(SRL)、内在动机和认知策略的使用、考试焦虑等心理和动机成分之间的关系,以及它们对学习成绩的影响。通过对392名会计专业大二、大三学生学业成就和动机成分的研究,发现减少考试焦虑和提高自我效能感是获得成功的重要途径。自我调节和认知策略作为中介变量对学业成绩也有影响。通过实证研究和对疫情前后学习动机与学习成绩文献的梳理,本研究提出4E (Effort, Enthusiasm, Expectation, easy)作为潜在智能辅导系统和适应性学习系统对学生学业进步的预警干预的预测框架和关键激励因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Motivation Components to Academic Achievement Prediction
This research aims to determine the relationship among the mental and motivation components include self-efficacy (SE), the self-regulation learning (SRL), the intrinsic motivation and the use of cognitive strategies, and test anxiety, as well as their effects on academic performance in the blended-learning environments during the COVID-19 pandemic. By studying the academic achievement and motivation components of 392 Accounting major Sophomores and Juniors, reducing test anxiety and improving self-efficacy were revealed to be the important methods toward success. Also, the use of self-regulation and cognitive strategies as the intermediary variables could have impact on the academic performance. Through the empirical study and a review of academic motivation and academic performance literature before and after COVID-19, this research proposed 4E (Effort, Enthusiasm, Expectation, and Easiness) as the predictive framework and key motivation factors for potential intelligent tutoring systems and adaptive learning systems on the early academic warning and intervention of students’ academic progress.
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