共同设计公共图书馆数据扫盲活动期间青少年与成人之间的互动:从语言模式的自然语言处理分析中获得的启示

IF 1.6 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
Leanne Bowler, Irene Lopatovska, Mark S. Rosin
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引用次数: 0

摘要

本研究的目的是探讨数据素养活动共同设计过程中青少年-成人对话互动,以确定青少年思维的性质、他们的情绪、参与水平以及数据素养背景下青少年与成人之间关系的力量。本研究将协同设计构想为数据素养的学习空间。它调查了青少年和成年人之间的对话互动,以及这些互动对青少年思维的本质、他们的情绪、参与程度以及青少年和成年人之间的权力关系的影响。设计/方法/方法本研究将共同设计设想为青少年的学习空间。语言调查和字数统计(LIWC-22)是一种自然语言处理(NLP)软件工具,使用记录的青少年和成人数据实验室的转录来检查分析思维,影响力,真实性和情感语气的语言措施。语言调查和字数统计(LIWC-22)是一种自然语言处理(NLP)软件工具,使用记录的青少年和成人数据实验室的转录来检查分析思维,影响力,真实性和情感语气的语言措施。在分析思维、影响力、真实性和情绪语调的语言测量中,sliwc -22得分表明,在共同设计过程中,青少年具有高水平的友好参与,与成年人相比,权力感相对较低,自发性和诚实程度中等,积极情绪普遍存在。本研究提供了一个具体的例子,说明如何在公共图书馆的数据素养背景下应用NLP,将LIWC-22的研究结果映射到以stem为重点的非正式学习。它增加了对设计数据素养教育的评估/测量工具和方法的理解,促进了进一步研究和讨论如何使青年更积极地参与非正式数据学习。原创性/价值本研究采用了一种新颖的方法来探索青少年参与一个共同设计项目,该项目的任务是创建面向青年的数据素养活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Teen-adult interactions during the co-design of data literacy activities for the public library: insights from a natural language processing analysis of linguistic patterns
Purpose The purpose of this study is to explore teen-adult dialogic interactions during the co-design of data literacy activities in order to determine the nature of teen thinking, their emotions, level of engagement, and the power of relationships between teens and adults in the context of data literacy. This study conceives of co-design as a learning space for data literacy. It investigates the teen–adult dialogic interactions and what these interactions say about the nature of teen thinking, their emotions, level of engagement and the power relationships between teens and adults. Design/methodology/approach The study conceives of co-design as a learning space for teens. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity, and Emotional Tone using transcriptions of recorded Data Labs with teens and adults. Linguistic Inquiry and Word Count (LIWC-22), a natural language processing (NLP) software tool, was used to examine the linguistic measures of Analytic Thinking, Clout, Authenticity and Emotional Tone using transcriptions of recorded Data Labs with teens and adults. Findings LIWC-22 scores on the linguistic measures Analytic Thinking, Clout, Authenticity and Emotional Tone indicate that teens had a high level of friendly engagement, a relatively low sense of power compared with the adult co-designers, medium levels of spontaneity and honesty and the prevalence of positive emotions during the co-design sessions. Practical implications This study provides a concrete example of how to apply NLP in the context of data literacy in the public library, mapping the LIWC-22 findings to STEM-focused informal learning. It adds to the understanding of assessment/measurement tools and methods for designing data literacy education, stimulating further research and discussion on the ways to empower youth to engage more actively in informal learning about data. Originality/value This study applies a novel approach for exploring teen engagement within a co-design project tasked with the creation of youth-oriented data literacy activities.
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来源期刊
Information and Learning Sciences
Information and Learning Sciences INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
9.50
自引率
2.90%
发文量
30
期刊介绍: Information and Learning Sciences advances inter-disciplinary research that explores scholarly intersections shared within 2 key fields: information science and the learning sciences / education sciences. The journal provides a publication venue for work that strengthens our scholarly understanding of human inquiry and learning phenomena, especially as they relate to design and uses of information and e-learning systems innovations.
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