Individual and cultural factors in teachers’ attitudes towards inclusion: A meta-analysis

The success of inclusive education is dependent upon classroom teachers implementing adaptations for children with disabilities. Given that willingness to make such adaptations is influenced by teacher attitudes, the current study examined teachers’ attitudes towards inclusive education through a meta-analysis of 64 samples that were found via a systematic literature search. The results indicated that teachers hold a positive attitude towards inclusion of children with disabilities in mainstream schools and that these attitudes are moderated by an interplay of cultural and demographical factors. The findings offer a renewed basis for intervention research into improving educational opportunities for children around the world.     

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.     

Tracking user-role evolution via topic modeling in community question answering

Community question answering (CQA) services that enable users to ask and answer questions are popular on the internet. Each user can simultaneously play the roles of asker and answerer. Some work has aimed to model the roles of users for potential applications in CQA. However, the dynamic characteristics of user roles have not been addressed. User roles vary over time. This paper explores user representation by tracking user-role evolution, which could enable several potential applications in CQA, such as question recommendation. We believe this paper is the first to track user-role evolution and investigate its influence on the performance of question recommendation in CQA. Moreover, we propose a time-aware role model (TRM) to effectively track user-role evolution. With different independence assumptions, two variants of TRM are developed. Finally, we present the TRM-based approach to question recommendation, which provides a mechanism to naturally integrate the user-role evolution with content relevance between the answerer and the question into a unified probabilistic framework. Experiments using real-world data from Stack Overflow show that (1) the TRM is valid for tracking user-role evolution, and (2) compared with baselines utilizing role based methods, our TRM-based approach consistently and significantly improves the performance of question recommendation. Hence, our approach could enable several potential applications in CQA.     

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。     

学习团队协作信息搜索的共享心智模型研究

[目的/意义] 对协作信息搜索进行深入研究，为专业化协作信息搜索系统平台建设优化等提供启发和借鉴。[方法/过程] 聚焦于学习团队的信息搜索行为，以高校学生为研究样本，以共享心智模型为切入点，采用扎根理论研究方法，探讨协作信息搜索中团队共享心智模型建构过程。[结果/结论] 识别出四大核心环节——个体感知与探索、团队任务解析、团队信息收集和团队信息整合，并理清各环节的认知活动与共享心智模型内容要素。     

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。     

政府数据开放中的公众参与模式:理论构建与案例实证

[目的/意义] 探讨政府数据开放中公众参与的理论模式，旨在指导政府部门有效实现公众参与数据开放的政策目标，以及推进政府数据开放中公众参与议题的研究进展。[方法/过程] 采用文献分析法、逻辑分析法和案例分析法，同时以公众参与阶梯理论作为分析工具，构建并实证政府数据开放中的公众参与模式。[结果/结论] 政府数据开放中的公众参与可从理论层面构建为告知型参与、咨询型参与、合作型参与和授权型参与4种模式，其核心涵义分别是政府向公众传达信息、政府咨询公众意见、政府与公众平等合作、政府与公众共同治理。这4种政府数据开放公众参与理论模式一方面在政府意图、主导力量、信息流动、公众信息知晓度和公众自治程度方面存在明显的特征差异，另一方面从国内外政府数据开放公众参与实践案例中获得良好的经验支持。     

Digital Module 05: Diagnostic Measurement—The G‐DINA Framework https://ncme.elevate.commpartners.com

In this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.