Exploring the Potential for Students to Develop Self-Awareness through Personalized Learning

Abstract

Personalized learning (PL) and social-emotional learning (SEL) are areas of increasing emphasis in U.S. educational policy and practice. With the goal of examining how these initiatives may be mutually supportive, this exploratory study investigates the potential for a PL experience to help middle school students develop the SEL skill of “self-awareness.” Using qualitative inquiry, we analyze reflective interviews with eleven students engaged in PL using an original self-awareness coding scheme. Our findings offer promising evidence that PL can promote self-awareness, including specific student examples, followed by recommendations for how PL and SEL efforts can be more strategically aligned.     

Argument form and spokesperson type: The recommendation strategy of virtual salespersons

A recommendation agent (RA) at a Webstore is believed to replace the functions of communicating and facilitating purchases for which conventional salespersons are responsible in traditional stores. Seeing the RA as a virtual salesperson, this study proposed a model to demonstrate the online persuasion process between RAs and customers. Specifically, by integrating Toulmin's model of argumentation with the spokesperson strategy from marketing theory, this study developed a model illustrating that Webstore managers may be able to manipulate the argument form and spokesperson type used in RAs’ recommendations to strengthen customers’ online purchase intentions through influencing their perceived argument quality and source credibility. Based on data derived from 270 subjects who participated in a 3 × 3 laboratory experiment, findings supported five out of six hypotheses. This study has broadened the scope of RA studies by utilizing different theoretical foundations other than the trust-assuring issues that were widely discussed in the past. Findings were able to provide crucial practical implications for both scholars and Webstore managers.     

医学信息资源管理与服务平台的研究与实现

采用元数据管理理念,研究了如何有效地对医学信息资源进行管理。同时在平台开发中,灵活运用分布式服务模式,方便医学工作者及科研人员便捷获取医学信息资源。最后,运用混合推荐算法,实现了医学信息资源的自动推荐,帮助医学工作者及科研人员更有效地发现自己所需的医学信息资源。     

论图书馆信息服务的个性化问题

本体结构理论、受信价值理论和辩证唯物主义是个性化信息服务的理论基础。实行个性化服务的对策有:建立个性化服务理念;营造个性化检索环境;掌握个性化信息行为;生产个性化信息产品。参考文献6。     

基于网络信息资源模式服务创新的分析

文章探讨了网络信息资源服务创新——个性化信息服务的性质、内容及技术要求，综述了现行几种网络信息资源组织模式的个性化服务，同时对实现网络信息资源的个性化服务提出了一些方法。     

个性化推荐技术在B2C教育网站上的应用分析

随着信息技术和互联网技术的发展,B2C远程教育网站作为高效、便捷的学习模式开始普及,但同时也带来了信息过载的问题。为此个性化推荐系统应运而生,它通过分析用户行为,预测其偏好并向其推荐他们真正感兴趣的课程。本文对不同的推荐技术进行了比较,并在此基础上分析了对教育类网站的适用性。     

Recommendation content matters! Exploring the impact of the recommendation content on consumer decisions from the means-end chain perspective

Consumers increasingly rely on social media to obtain product information. The vlog, a new kind of social medium, has been adopted by sellers to connect with consumers. Through this platform, sellers can cooperate with vloggers to recommend products or services to consumers. Extending beyond the previous perspective that consumers’ perceptions and behaviors are influenced by vloggers’ attributes, we herein investigate the influence of recommendation content. Drawing on the means-end chain framework, this paper investigates how the attributes of recommendation content affect consumers’ intention to adopt (i.e., follow) the recommendation. Data collected from 513 respondents provides support for the proposed influences. The results indicate that source credibility, content diagnosticity, and content serendipity drive consumers’ recommendation adoption intention. This research contributes to the literature on rec-vlog marketing by clarifying the significant role of recommendation content. Implications are discussed regarding these findings.     

Web使用挖掘在教育资源网站中的应用

随着互联网的发展,教育资源网站的个性化服务也有了长足的进展。本文介绍了Web挖掘的概念及分类,Web使用挖掘的流程,着重介绍了Web使用挖掘在教育资源网站建设中的具体应用。     

基于复杂网络的图书馆个性化推荐服务

文章用复杂网络的理论对图书馆的流通记录进行分析。首先利用复杂网络的理论建立借阅记录的网络模型,然后对建立好的网络进行社团结构划分,再利用基于模糊评判的余弦相似度准则计算社团成员的兴趣相关度。最后根据计算出来的结果将信息推荐给读者,实现个性化推荐服务。将复杂网络相关理论应用到图书情报领域,是复杂网络理论的延伸与发展,也丰富了图书情报学研究内容。     

个性化元搜索引擎的研究

针对现有搜索引擎的局限性和当前用户的个性化需求,以用户兴趣模型为基础,对个性化元搜索引擎的基本原理和结构、方法及关键技术进行了研究,并在此基础上提出了用户个性化元搜索引擎的简单实现。