Modelling the long-run learning impact of the Covid-19 learning shock: Actions to (more than) mitigate loss

This paper uses a calibrated “pedagogical production function” model to estimate the potential long-term losses to children’s learning from the temporary shock of Covid-19 related school closures. It then models possible gains from two mitigation strategies. Without mitigation, children could lose more than a full year’s worth of learning from a three-month school closure because they will be behind the curriculum when they re-enter school and will fall further behind as time goes on. Remediation when children return to school reduces the long-term learning loss by half, but still leaves children more than half a year behind where they would have been with no shock. Remediation combined with long-term reorientation of curriculum to align with children’s learning levels fully mitigates the long-term learning loss due to the shock and surpasses the learning in the counterfactual of no shock by more than a full year’s worth of learning. Systems need to begin planning now for remediation programmes, and as they do so they should build programmes and train teachers in ways that can continue to produce benefits beyond the period immediately following reopening.     

Quality flaw prediction in Spanish Wikipedia: A case of study with verifiability flaws

In this work, we present the first quality flaw prediction study for articles containing the two most frequent verifiability flaws in Spanish Wikipedia: articles which do not cite any references or sources at all (denominated Unreferenced) and articles that need additional citations for verification (so-called Refimprove). Based on the underlying characteristics of each flaw, different state-of-the-art approaches were evaluated. For articles not citing any references, a well-established rule-based approach was evaluated and interesting findings show that some of them suffer from Refimprove flaw instead. Likewise, for articles that need additional citations for verification, the well-known PU learning and one-class classification approaches were evaluated. Besides, new methods were compared and a new feature was also proposed to model this latter flaw. The results showed that new methods such as under-bagged decision trees with sum or majority voting rules, biased-SVM, and centroid-based balanced SVM, perform best in comparison with the ones previously published.     

Discrete Choice Modeling in Education: An Innovative Method to Assess Teaching Practices

Self‐reported measures are an easy, time‐efficient, and low‐cost way to collect research data compared to other assessment methods. They are, however, characterized by several limitations regarding the quality and the clarity of the data they produce, especially when they are implemented in education. The main purpose of the current study was to use a method called discrete choice modeling (DCM) in education, in order to develop a self‐reported instrument that will reduce the bias for socially desirable responses and to assess teachers’ practices in physical activity. DCM method has the ability to overcome the respondents’ tendency to answer in a socially desirable way. A nationally representative sample of 531 Greek early educators participated in this study and were administered a self‐assessment questionnaire based on DCM. Results showed that the DCM based newly developed instrument manages to assess effectively educators’ practices and provided evidence of the applicability of the method in education. Further implications and future recommendations regarding the effective application of DCM in education are discussed.     

Evaluating the international dimension in an undergraduate curriculum by assessing students’ intercultural sensitivity

This formative, outcome-oriented, theory-based evaluation research study assessed the effectiveness of requiring an international (‘I’) course by measuring students’ intercultural sensitivity (IS) at the start and end of a semester. Findings revealed that students’ IS scores did not change regardless of the type of class in which the student was enrolled and were not significantly different based on gender, age, ethnicity, undergraduate classification, or number of ‘I’ courses taken. There were significant differences in IS based on religion, traveling outside the US, participating in a study abroad course, and the number of cultural events in which the student had participated. Regression analysis confirmed that religious affiliation and number of times traveled outside the US were significant predictors of IS. This study is an example of the use of theory-based evaluation in an educational system and provides important insights into what experiences affect college students’ IS.     

高职院校顶岗实习管理机制构建探析

顶岗实习是实现高职人才培养目标的重要途径。鉴于当前高职顶岗实习中学校、学生及教师各层面都存在的问题,重新设计了顶岗实习的流程体系,通过校、企、师、生、家五方联动,构建了五途径保障实习岗位、两维度驱动实习成效、四层次规范实习管理、三主体强化实习评价的“五二四三”顶岗实习模式,实现学生、企业、教师、家长、导师和学校的六方共赢。     

图书馆科普教育现状与发展路径探究——基于25个省市88家科普教育基地调查

[目的/意义] 图书馆肩负着实施科普教育的法定职责，拥有品种多样、内容丰富的科普文献与信息资源的图书馆，在开展科普教育方面具有得天独厚的优势。图书馆科普教育起步比较早，2005年，中国图书馆学会成立科普与阅读指导委员会；但在图书馆业界，科普教育只是零星的点缀式服务创新探索，尚未成为常态化服务项目。在依法治馆、创新发展的新时代，寻求图书馆科普教育发展路径具有较强理论和实践意义。[方法/过程] 通过互联网、微信等社交网络平台，对图书馆科普教育基地建设的状况进行调研，从基地等级、基地类型、基地数量、区域分布、有效期限以及认定依据等方面进行深入分析，并对图书馆实施科普教育提出发展路径以供选择。[结果/结论] 图书馆科普教育应坚持基地建设与科普服务相结合、阅读推广与全民科普相融合、科普与游学并举等策略，走设施、资源、服务"三位一体"的持续稳健协调发展之路。     

基于深度学习的中文专利自动分类方法研究

[目的/意义] 面向当前国内专利审查和专利情报分析工作中对于海量专利分类的客观需求，设计了7种基于深度学习的专利自动分类方法，对比各种方法的分类效果，从而助力专利分类效率和效果的提升。[方法/过程] 针对传统机器学习方法存在的缺陷，基于Word2Vec、CNN、RNN、Attention机制等深度学习技术，考虑专利文本语序特征、上下文特征以及分类关键特征，设计Word2Vec+TextCNN、Word2Vec+GRU、Word2Vec+BiGRU、Word2Vec+BiGRU+TextCNN等7种深度学习模型，以中国专利为例，选取IPC主分类号的"部"作为分类依据，对比这7种模型与3种传统分类模型在中文专利分类任务中的效果。[结果/结论] 实证研究效果显示，采用考虑语序特征、上下文特征及强化关键特征的深度学习方法进行中文专利分类具有更优的分类效果。     

大学生孤独感对手机成瘾倾向的影响:生命意义感的调节作用

为了探究大学生孤独感、手机成瘾倾向和生命意义感之间的关系,采用UCLA孤独量表、大学生手机成瘾倾向量表、人生意义感问卷,选取408名大学生作为被试进行问卷调查。结果发现:(1)孤独感与手机成瘾倾向呈显著性正相关,生命意义感与手机成瘾倾向呈显著性负相关,孤独感和生命意义感相关性不显著;(2)孤独感和生命意义感都显著预测手机成瘾倾向,生命意义感在孤独感和手机成瘾倾向之间的调节效应显著,低生命意义感大学生的孤独感对手机成瘾倾向的预测力更强。因此,大学生的孤独感能正向预测手机成瘾倾向,生命意义感能调节二者之间的关系,低水平的生命意义感会加剧孤独感对手机成瘾倾向的预测作用,而高水平的生命意义感会使孤独感对手机成瘾倾向的影响较小。     

A Bioethos for Bodies: Respecting a Priceless Resource

The value that willed body donors provide to medical education is priceless. Their precious gift helps to teach anatomy, spatial relationships between morphological structures, anatomical variation, and professionalism to medical students in a way that plastic models, podcasts, and lectures cannot. They are also an important resource for medical research and a wide variety of postgraduate training opportunities. While many body donation programs throughout the world are nonprofit organizations, there are body donation companies in the United States that sell donors for-profit. These “body brokers” have accumulated large profits from this business. It is incongruous that others would profit from such a priceless, freely donated gift. To prevent this incongruity, it is proposed that the international anatomical community develop a normative culture (a bioethos) for body donation programs. This would involve the conscious and systematic development of ethical principles for the day-to-day policies and practices of institutions that collect and use human bodies. With the development of this bioethos, a cultural shift in how donors are treated would occur and, over time, this would become the normal practice. These principles would become fundamental and foundational for the procurement and use of priceless human tissues.