The Effects of Learning Objectives on Searchers' Perceptions and Behaviors

Kelsey Urgo, Jaime Arguello, Robert G. Capra
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引用次数: 15

Abstract

In recent years, the "search as learning" community has argued that search systems should be designed to support learning. We report on a lab study in which we manipulated the learning objectives associated with search tasks assigned to participants. We manipulated learning objectives by leveraging Anderson and Krathwohl's taxonomy of learning (A&K's taxonomy)[2], which situates learning objectives at the intersection of two orthogonal dimensions: the cognitive process and the knowledge type dimension. Participants in our study completed tasks with learning objectives that varied across three cognitive processes (apply, evaluate, and create) and three knowledge types (factual, conceptual, and procedural knowledge). We focus on the effects of the tasks cognitive process and knowledge type on participants' pre-/post-task perceptions and search behaviors. Our results found that the three knowledge types considered in our study had a greater effect than the three cognitive processes. Specifically, conceptual knowledge tasks were perceived to be more difficult and required more search activity. We discuss implications for designing search systems that support learning.
学习目标对搜索者认知和行为的影响
近年来,“搜索即学习”社区认为,搜索系统应该被设计成支持学习。我们报告了一项实验室研究,在这项研究中,我们操纵了与分配给参与者的搜索任务相关的学习目标。我们利用Anderson和Krathwohl的学习分类法(A&K的分类法)[2]来操纵学习目标,该分类法将学习目标置于两个正交维度的交叉点:认知过程和知识类型维度。在我们的研究中,参与者完成的任务有三个不同的认知过程(应用、评估和创造)和三种知识类型(事实、概念和程序知识)。研究了任务认知过程和知识类型对被试任务前后感知和搜索行为的影响。我们的研究结果发现,我们研究中考虑的三种知识类型比三种认知过程的影响更大。具体来说,概念性知识任务被认为更困难,需要更多的搜索活动。我们讨论了设计支持学习的搜索系统的含义。
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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