Do students learn what they teach when generating teaching materials for others? A meta-analysis through the lens of learning by teaching

Students can generate teaching materials for others. However, solid evidence of the learning effect for the student creating the material is needed. This meta-analysis aims to explore current evidence of the learning-by-teaching potential effect on students’ learning of the content they teach. A total of 23 articles were included in the meta-analysis, providing 62 comparisons between an intervention in which students were required to create a teaching material and an alternative condition. Possible moderators were examined as well (i.e., product, educational level, content area, and access to source material). Results show statistically significant differences in favour of creating teaching materials when compared to business-as-usual or alternative interventions, with an overall effect of 0.17. However, the type of product and the access to source material significantly moderate the findings. Audio-visual and visual materials considerably outperform textual materials. Having no access to the source material is better than having full access to it. No publication bias was detected. However, the type of control group moderates the findings: creating teaching materials shows a significant effect when compared to nonbeneficial interventions rather than to other expected beneficial interventions. Nonbeneficial interventions refer to business-as-usual or alternative interventions that are not expected to influence the outcome much, while beneficial interventions are those that are known or expected to have a positive effect. The findings are discussed based on the different views on the underlying learning-by-teaching mechanisms. Limitations as well as implications for practice, policy, and future research are underlined.     

泛化背景下大学生学习行为数据壁垒破解研究

基于相关文献回顾,认为在数字技术背景下,大学生学习行为泛化趋势明显,带来了促进学习内容多样化的正面影响以及割裂学习连续性,减低学习内容深度的负面影响。通过问卷调查,得出“当前学习行为数据壁垒是阻碍潜在数据利益实现”的结论,并提出从“打破数据割据、连通数据孤岛和规范合理使用数据”三个方面整合数据的建议。     

Analysis and evaluation of lecturers’ activity in Learning Management Systems: Subjective and objective perceptions

Learning Management Systems (LMS) have become the principal resource for the distribution of educational material and collaboration among lecturers and students in Higher Education. The potential of these platforms does not limit to a simple manager of contents, but they also offer a wide range of tools that support the development of different methodologies according to the learning modality, namely on-campus, blended or online. This work analyzes the use of LMS and the interactions with their different tools from the lecturers’ point of view, in order to detect possible incidents, check the tools’ utility and evaluate their complexity. All these metrics represent valuable information to the Degree Coordinators, if they are presented in a suitable manner, to detect and resolve deficiencies in the methodology. For the analysis of the teaching activity two methods are employed: (1) surveys, to measure the subjective perception of lecturers when using LMS tools; and (2) visual analysis of the real lecturer’s activity through OnlineData, a graphical analytic tool developed as part of our work to monitor LMS tools metrics. The results of both methods show differences among the perceived self-usage and actual usage, especially for the e-learning methodologies     

The ‘Learning in Regular Classrooms’ initiative for inclusive education in China

The purpose of this article is to understand the Learning in Regular Classrooms (LRC) initiative for inclusive education in China. First, the paper reviews the policy, legislation, and practice in relation to the LRC. It then goes on to explore the specific social–political context of the LRC, and compares the Chinese LRC with the Western approaches to inclusion and integration. The authors then discuss the challenges posed by the attempt to further promote the LRC or inclusive education in the collectivist culture and socialist political context of modern China.     

《大学》主旨新解

学者解释《大学》,向来采用朱熹之说,认为《大学》是一篇教育学论文。实际上,《大学》通篇讲的是君王治国之道,此论可从四方面得以证实:其一,唐儒陆德明、孔颖达已发现《大学》主旨在于为政、治国;其二,从训诂学层面审视,朱熹之论不合《大学》文义;其三,《大学》所征引的文献均凸显君王治国之道这一主旨;其四,《大学》的内在逻辑—先后阐发了治国之前提与治国之方法。     

“停课不停学”与在线教学发展的审思

疫情影响了学校正常教育教学,"停课不停学"要求学校和教师借助信息技术开展在线教学支持学生学习。疫情中的在线教学不能按照之前既定的、统一的教育教学计划进行,应结合疫情开展应时的在线教学。在线教学规范化必须综合考虑技术、理论、政策与教师等多方面因素。     

面向语义Web的本体学习研究

语义Web的创建需要一套共同的标准概念体系,即本体(Ontology)。本体的构造手段仍然是以手工构造为主,效率和准确率都非常低,很容易导致知识获取的瓶颈。本文给出一个半自动化的需人工干预的本体学习体系结构,采用平衡的协作建模方式来构造语义Web中的本体;介绍了基于以上体系结构的本体学习的处理过程,并讨论了领域概念抽取,概念之间关系的抽取等关键技术。     

Behavioural additionality of R&D subsidies: A learning perspective

The use of R&D grants as a policy instrument has been motivated by economic arguments of market failure. Neo-classical econometric studies have analysed the additionality of one Euro of subsidies on both the investments of companies in the R&D process and the output of that R&D process. More recently, behavioural additionality has been launched as a third form of additionality. In contrast to input and output additionality, behavioural additionality is related to changes in the processes that take place within the firm. In this paper, we analyse the determinants of the behavioural additionality of R&D grants. To explain the mechanism through which behavioural additionality is obtained, we use organizational learning theory as a guide to formulate our hypotheses. Hypotheses are tested using a telephone survey of 192 recipients of R&D grants provided by the IWT in Flanders in 2001–2004, matched to a sample of 84 firms that undertake innovation activities but which had never had a grant bid accepted. We find that congenital learning and interorganizational learning lead to increased behavioural additionality. However, these learning effects decrease with the number of subsidized projects that are undertaken by the company.     

Academic users’ interactions with ScienceDirect in search tasks: Affective and cognitive behaviors

This article presents part of phase 2 of a research project funded by the NSF-National Science Digital Library Project, which observed how academic users interact with the ScienceDirect information retrieval system for simulated class-related assignments. The ultimate goal of the project is twofold: (1) to find ways to improve science and engineering students’ use of science e-journal systems; (2) to develop methods to measure user interaction behaviors. Process-tracing technique recorded participants’ processes and interaction behaviors that are measurable; think-aloud protocol captured participants’ affective and cognitive verbalizations; pre- and post-search questionnaires solicited demographic information, prior experience with the system, and comments. We explored possible relationships between affective feelings and cognitive behaviors. During search interactions both feelings and thoughts occurred frequently. Positive feelings were more common and were associated more often with thoughts about results. Negative feelings were associated more often with thoughts related to the system, search strategy, and task. Learning styles are also examined as a factor influencing behavior. Engineering graduate students with an assimilating learning style searched longer and paused less than those with a converging learning style. Further exploration of learning styles is suggested.