B04: Analysis of the Accuracy and Comprehensibility of Media Content Used by Medical and Economics Students in Higher Education Online Learning Settings

B04：高等教育在线学习环境中医学和经济学学生使用的媒体内容的准确性和可理解性分析

• 批准号: 520634386
• 负责人: Professor Dr. Marcus Maurer
• 金额: --
• 依托单位: Institut für Publizistik
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/520634386?language=en
• 关键词: B04; Analysis; Accuracy; Comprehensibility; Media

vRecent research indicates that news media and social media play a remarkable role in students’ information acquisition and learning in higher education. While some students learn from these media, other students learn nothing or even adopt misconceptions. Although previous research has provided valuable evidence on various factors ingrained in the information content and student learning characteristics, we know comparably little about the interaction of such influences in natural settings (i.e., the Internet). B04 aims to characterize the information landscape students use in generic and domain-specific critical online reasoning (COR) tasks by focusing on the accuracy (i.e., incompleteness, bias, incorrectness) and comprehensibility (i.e., linguistic and stylistic level) of the online content used by medical and economics students when completing these tasks. Additionally, B04 aims to develop a theoretically sound and empirically driven framework to explain the interplay between different types and characteristics of information that students use in COR tasks and the processes that govern students’ information selection, evaluation and reasoning. Finally, we are interested in the long-term relations of types of information sources that students habitually use and their learning outcomes in higher education. The description of the information landscape is based on a quantitative content analysis of websites that students access when solving COR tasks. The accuracy of information is assessed manually, the comprehensibility of information is measured partly automatically, partly by human coders. The content analytics data are then combined with data from COR tasks assessed in the A-projects of this research unit (FOR). Finally, we rely on the FOR panel survey data to investigate how the media and information use of students is related to COR development and learning outcomes over time. The study examines to what extent information sources differ with respect to accuracy and comprehensibility and how this variation affects students’ COR performance. The examination of short-term and long-term influences of students’ information diet on COR performance and learning outcomes provides a unique basis for the conceptual development of instructional interventions, e.g. using Internet-like simulations, to effectively foster the DOM-COR skills (in the 2nd research phase). B04 uses data from the COR-assessments and panel survey conducted in A-projects. The examination of inter-individual differences and of strategies of high-performers and deficiencies of low-performers in COR-tasks is shared with C07. Together with B05 and B06, which analyze the same information sources using different methodologies (B05: linguistic analysis, B06: qualitative-reconstructive analysis), we contribute to an in-depth understanding of the beneficial and detrimental role of various online information sources for higher education learning among students in medicine and economics.

VRECENT研究表明，新闻媒体和社交媒体在学生在高等教育中的信息获取和学习中发挥着出色的作用。当一些学生从这些媒体中学习时，其他学生什么也没学，甚至会采取误解。尽管以前的研究为信息内容和学生学习特征中根深蒂固的各种因素提供了宝贵的证据，但我们对自然环境中这种影响的相互作用（即互联网）的相互作用知之甚少。 B04旨在表征学生在通用和域特异性关键的在线推理（COR）任务中使用的信息景观，通过重点关注医学和经济学学生在完成这些任务时使用的在线内容使用的准确性（即，不完整，偏见，错误，错误，错误，不正确）（即语言和风格级别）。此外，B04旨在开发理论声音和经验驱动的框架，以解释学生在COR任务中使用的不同类型和信息特征之间的相互作用以及管理学生信息选择，评估和推理的过程。最后，我们对学生习惯使用的信息来源类型的长期关系以及他们在高等教育中的学习成果感兴趣。信息格局的描述基于对解决COR任务时访问的网站的定量内容分析。信息的准确性是手动评估的，信息的可理解性是由人类编码人员自动自动衡量的。然后将内容分析数据与该研究单元（FOR）A-Proks评估的COR任务的数据相结合。最后，我们依靠FON小组调查数据来研究学生的媒体和信息使用与COR的发展和学习成果如何有关。该研究在何种程度上的信息来源在准确性和可理解性方面有所不同，以及这种变化如何影响学生的表现。研究学生信息饮食对COR表现和学习成果的短期和长期影响的检查为教学干预措施的概念发展提供了独特的基础，例如使用类似互联网的模拟，有效地培养DOM-COR技能（在第二个研究阶段）。 B04使用来自A-Projects进行的COR评估和小组调查的数据。 C07共享对个人间差异以及高绩效和低绩效策略的策略的检查。与B05和B06一起使用不同的方法分析相同的信息源（B05：语言分析，B06：定性重建性分析），我们有助于深入了解医学和经济学中高等教育学习的各种在线信息来源对各种在线信息的有益和有害作用。