Should I stay or should I go? Predictors and effects of studying abroad during high school

In an increasingly globalized and culturally diverse world, extended stays abroad during high school are considered important opportunities for acquiring and improving a variety of skills, most importantly, language achievement. This study examines both predictors and effects of studying abroad in an English-speaking country during high school, using population data from the second largest city in Germany (N = 5361; 13% went abroad). In order to determine the most central predictors of studying abroad, we employed logistic regression models in which students’ socioeconomic background emerged as the strongest predictor of studying abroad. To test the effects of studying abroad, we applied propensity score matching. Studying abroad had positive effects on standardized achievement, grades, and course choice in English, whereas it had hardly any effects on outcomes in math. Implications for studying abroad during high school and future research directions are discussed.     

Breaking Down Barriers for Student Parents and Caregivers with Family-Friendly Library Spaces

Abstract

In 2016, J. Murrey Atkins Library at the University of North Carolina at Charlotte opened a reservable study room where student parents and caregivers can study with their children on campus. In 2018, the library opened a second family-friendly study room to meet the needs of our growing campus community. To inform the room design, the library conducted a mixed methods research study that included a user survey, an examination of room reservation and usage data, and one-on-one user interviews. This paper focuses on the user-centered design process used to inform the development of the second, family-friendly, library study room.     

中外情报学论文创新性特征研究

[目的/意义] 综合运用定性与定量相结合的方法对近年中外情报学论文的创新性进行分析和对比，揭示情报学领域研究的创新性特征，发现领域学术论文中创新句内部的知识关系，进行更细粒度的论文创新性分析，为研究领域创新点深层次利用提供条件，同时丰富科技论文创新性监测的途径，促进科学研究创新。[方法/过程] 从句子级创新性识别出发，选取中英文各两种情报学期刊作为样本，采用信息抽取和机器学习的方法，将创新句的抽取从现有的摘要扩展到全文，充分利用句子结构和句法特征识别领域创新内容，探讨近年中外情报学论文在创新对象、主题、类别等方面的特征，并做对比分析，最后通过对自动分类的论文集合进行定性的内容分析，总结归纳出中外情报学论文创新的表达范式。[结果/结论] 从创新的表达来看，中外情报学论文创新句的分布情况基本一致，英文期刊论文创新的表达更丰富。从创新性特征来看，英文情报学期刊论文创新主题较集中，而中文主题多样和分散；具体方法的创新是近年情报学领域的创新热点，而在研究方法上创新不足；中英文情报学期刊论文的创新性特点都反映了应用研究、实证研究的成果较多，而理论创新推动缓慢的趋势。     

灰色预测法在情报研究中的应用研究综述

[目的/意义] 灰色预测法可有效处理情报研究中广泛存在的小样本数据，通过对灰色预测法在情报研究中的应用情况进行梳理，总结其在应用过程中存在的不足，为灰色预测法在情报研究中的进一步应用提供参考。[方法/过程] 通过综述情报研究中涉及灰色预测法的相关文献，从数据选取、模型构建和解决的问题等方面对情报研究中灰色预测法的应用进行概述，总结当前情报研究中灰色预测法的应用所存在的问题，并提出改进建议。[结果/结论] 在方法应用上，已有研究主要采用数列灰预测，且模型集中在单变量灰色预测模型，根据预测对象不同，灰色预测法已经在包括期刊分析、图书馆运行管理、热点主题分析及科研机构评价方面得到了很好的应用，未来可根据预测对象特点及研究目标尝试不同的灰色预测方法，扩宽灰色预测法在其他方面的情报研究问题中的应用。     

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.     

Cross-company customer churn prediction in telecommunication: A comparison of data transformation methods

Cross-Company Churn Prediction (CCCP) is a domain of research where one company (target) is lacking enough data and can use data from another company (source) to predict customer churn successfully. To support CCCP, the cross-company data is usually transformed to a set of similar normal distribution of target company data prior to building a CCCP model. However, it is still unclear which data transformation method is most effective in CCCP. Also, the impact of data transformation methods on CCCP model performance using different classifiers have not been comprehensively explored in the telecommunication sector. In this study, we devised a model for CCCP using data transformation methods (i.e., log, z-score, rank and box-cox) and presented not only an extensive comparison to validate the impact of these transformation methods in CCCP, but also evaluated the performance of underlying baseline classifiers (i.e., Naive Bayes (NB), K-Nearest Neighbour (KNN), Gradient Boosted Tree (GBT), Single Rule Induction (SRI) and Deep learner Neural net (DP)) for customer churn prediction in telecommunication sector using the above mentioned data transformation methods. We performed experiments on publicly available datasets related to the telecommunication sector. The results demonstrated that most of the data transformation methods (e.g., log, rank, and box-cox) improve the performance of CCCP significantly. However, the Z-Score data transformation method could not achieve better results as compared to the rest of the data transformation methods in this study. Moreover, it is also investigated that the CCCP model based on NB outperform on transformed data and DP, KNN and GBT performed on the average, while SRI classifier did not show significant results in term of the commonly used evaluation measures (i.e., probability of detection, probability of false alarm, area under the curve and g-mean).     

体育院校与普通院校大学生成就动机发展特点的比较研究

运用心理测量法和问卷法 ,采用定量与定性分析相结合的方法 ,对体育院校大学生成就动机的发展特点进行分析 ,并与普通院校大学生进行比较。研究结果表明 :体育院校大学生成就动机水平高于普通院校大学生成就动机水平 ;体育院校与普通院校男女大学生的成就动机得分不存在显著差异 ;影响体育院校与普通院校大学生成就动机的前两位因素是意志品质和社会就业压力。     

图书馆馆藏文献资源评价：层次分析法应用的理论研究

在分析文献资源的特征的基础上,以大学图书馆为例,研究了层次分析法实际应用的客观环境、评价目标、评价模型的厘定以及评价方法。     

福建省田径队成绩滑坡原因的分析

通过比较福建省田径队在1987-1997年3届全运会上的成绩及进入90年代以来在队伍结构上的一些变化,总结出优秀运动员退役、大量年轻队员过早离队、教练队伍的变化、后备力量缺乏、与高校缺乏配合等原因是导致其水平下滑的原因.     

学术期刊的目次及其编排

针对学术期刊这一特定属类，分析了目次的功能、特点，给出6种常见的目次编排位置；依据侧重点的异同，归结了4种编目方法，逐一阐释各编排方法的特点及适用范围。