Updating the Intelligence and Ability Testing Platform : Improved Prediction and Reflection of Learning Through Computer-based Testing Using Examinees' Learning Styles

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概要

• 論文の詳細を見る

• The problem of putting multiple intelligences and varied learning styles into testing is profound. Intelligence and ability testing are predominately lexical and mathematical. To exclude other intelligences from testing is both unbalanced and unfair. Testing has retained a bias against other cognitions of many contributors to society. This may have once been an acceptable bias as classrooms were limited to the three Rs. This is no longer true. Classrooms increasingly embrace students' unique and varied ways of learning. Testing has lacked an effective mechanism to allow for testing in the multivariate manner required of accurate representation of capability before learning and ability after. Now, though, computers offer the range of hardware, software and connectivity to make testing legitimately multiple intelligences friendly. So, test results become more valid representations of examinees' potential to learn and expression of prior learning. This article details how.

• 長崎ウエスレヤン大学の論文
• 2007-03-31

著者

• Levirs Merlin

  長崎ウエスレヤン大学現代社会学部国際交流学科

• Levirs Merlin

  長崎ウエスレヤン大学 現代社会学部 国際交流学科

関連論文

• Updating the Intelligence and Ability Testing Platform : Improved Prediction and Reflection of Learning Through Computer-based Testing Using Examinees' Learning Styles
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