Research on the Design of Adaptive Testing Based on Multiple Intelligences Theory and Its Impact on Student Learning Outcomes

Zhihe Liu, Wenwen Jiang
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Abstract

This paper examines the transformative potential of incorporating Howard Gardner’s Multiple Intelligences Theory (MIT) into adaptive testing frameworks within the United Kingdom’s educational settings. By moving beyond traditional, one-dimensional assessments that prioritize linguistic and logical-mathematical intelligences, MIT-based adaptive testing aims to offer a more personalized and inclusive approach to evaluating student capabilities. Through a comprehensive review of recent research, this study explores the theoretical underpinnings of MIT, the design and implementation of adaptive testing models that accommodate a broader spectrum of intelligences, and the empirical impacts of such assessments on student engagement, motivation, and academic achievement. The findings highlight the benefits of adaptive testing for fostering a more equitable educational environment, while also addressing the challenges and considerations for successful implementation. The discussion underscores the need for ongoing research, professional development for educators, and the development of reliable and valid assessment tools. Ultimately, this paper contributes to the dialogue on enhancing educational practices to better meet the diverse needs of learners, advocating for assessment models that recognize and value the wide array of human intelligences.
基于多元智能理论的自适应测试设计及其对学生学习成果的影响研究
本文探讨了将霍华德-加德纳的多元智能理论(MIT)纳入英国教育环境中的适应性测试框架的变革潜力。通过超越传统的、以语言智能和逻辑数学智能为优先的一维评估,基于MIT的适应性测试旨在提供一种更具个性化和包容性的方法来评估学生的能力。本研究通过对最新研究的全面回顾,探讨了麻省理工学院的理论基础、适应性测试模型的设计和实施,以适应更广泛的智能范围,以及此类评估对学生参与、学习动机和学业成绩的实证影响。研究结果强调了适应性测试对营造更加公平的教育环境的益处,同时也探讨了成功实施适应性测试所面临的挑战和需要考虑的因素。讨论强调了持续研究、教育工作者专业发展以及开发可靠有效的评估工具的必要性。最终,本文为加强教育实践以更好地满足学习者的多样化需求的对话做出了贡献,倡导了承认和重视人类广泛智能的评估模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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