Different Words for the Same Concept: Learning Collaboratively From Multiple Documents

Regina Jucks; Elisabeth Paus

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Different Words for the Same Concept: Learning Collaboratively From Multiple Documents

机译：同一概念的不同词语：从多个文档中共同学习

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This study investigated how varying the lexical encodings of technical terms in multiple texts influences learners' dyadic processing of scientific-related information. Fifty-seven pairs of college students read journalistic texts on depression. Each partner in a dyad received one text; for half of the dyads the partner's text contained different lexical encodings of the same concepts; for the other half the lexical encodings and texts were identical. They then read a case report on first signs of depression. Communicating via a chat room, each dyad had to write a causal diagnosis and suggest a treatment. Results showed that dyads in the different-encoding condition explicitly elaborated the meaning of technical terms more often, produced more differentiated answers, and acquired more knowledge. It is concluded that deliberately switching different words for the same underlying content, and engaging students in discussion of that content, influences learners' discourse and promotes scientific/conceptual understanding.

机译：这项研究调查了多种文本中技术术语的词汇编码变化如何影响学习者对科学相关信息的二元处理。 57对大学生阅读了有关抑郁症的新闻报道。双联中的每个伙伴都收到一个文本；对于一半的双子，伙伴的文本包含相同概念的不同词汇编码；对于另一半，词汇编码和文本是相同的。然后，他们阅读了有关抑郁症初步征象的病例报告。通过聊天室进行交流，每个二元组必须撰写因果诊断并提出治疗方案。结果表明，在不同编码条件下的二元组更经常地明确阐述技术术语的含义，产生更多差异化的答案，并获得更多的知识。结论是，故意为相同的基础内容切换不同的单词，并让学生参与该内容的讨论，从而影响学习者的话语并促进科学/概念的理解。

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《Cognition and instruction》 |2013年第2期|227-254|共28页
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Regina Jucks; Elisabeth Paus;
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Westfaelische Wilhelms-Universitaet Muenster, Institute of Psychology for Education, Fliednerstrasse 21, 48149 Muenster, Germany;

Westfaelische Wilhelms-Universitaet,Muenster, Germany;

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4. Improving Document Retrieval by Automatic Query Expansion Using Collaborative Learning of Term-Based Concepts [C] . Stefan Klink, Armin Hust, Markus Junker, International Workshop on Document Analysis Systems . 2002

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6. Click-words: learning to predict document keywords from a user perspective [O] . Rezarta Islamaj Doğan, Zhiyong Lu -1

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8. Integrated Learning of Words and Their Underlying Concepts [R] . Mooney, R. 1987

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Different Words for the Same Concept: Learning Collaboratively From Multiple Documents

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