人工智能赋能在线实验教学行为分析

教学行为分析作是教学质量分析的重要组成部分，也是教学引导与反馈机制的重要依据。文章阐述了人工智能（AI）的含义及发展历程，重点分析总结了教学行为分析方法及AI在教学行为分析上的应用。文章以东南大学电工电子在线实验为研究平台，探索分析了AI技术在实验教学行为分析上的可行性，梳理了基于专家系统的在线实验分析系统的设计思路，充分探讨了“智能”教育在实验教学中的深刻内涵。     

Professional design of chemical plants based on problem-based learning on a pilot plant

This work describes a novel teaching methodology and its application in a subject framed in the last course of the master’s degree in Chemical Engineering at the University of Seville. The main aim consists of promoting a way to facilitate professional practice in this field to the students. Authors also aim at guiding the transition to the new learning requirements demanded by the European Higher Education Area (EHEA).The novel methodology is based on the development of a detailed design of a pilot plant that can be further evaluated by the students themselves. Students are also allowed to run experiments at the facility and carry out several standard tests to verify the quality of the results of their works. The novelty of this proposal consists of incorporating a real installation available in our department to drive new learning methodologies applied in Chemical Engineering curricula. The methodology is distributed across several tasks: training (self-learning), project execution and supervision, comparison with a real installation and pilot plant experiences. The application of the proposed teaching methodology provided quality didactic material production, high satisfaction of the students with the new learning approach and the fact that they gained practical experience at industrial scale.     

基于ELM的英语教学质量评价研究

对英语教学质量实施科学化的评价关系到英语教学质量的提升,为减少主观因素的影响,本文提出一种ELM的教学质量评价方法,该种方法将可以在很大程度上提高教学质量评价的精度。对影响英语教学质量的12个指标进行打分,以此作为ELM的输入,同时将英语教学质量的综合得分作为ELM的输出。评价结果表明,基于EIM的英语教学质量评价结果比SVM、BP具有了很大程度的提升,为实施英语教学质量的评价提供了参考。     

Teacher regulation of multiple computer-supported collaborating groups

Teachers regulating groups of students during computer-supported collaborative learning (CSCL) face the challenge of orchestrating their guidance at student, group, and class level. During CSCL, teachers can monitor all student activity and interact with multiple groups at the same time. Not much is known about the way teachers diagnose student progress and decide upon appropriate interventions when they regulate multiple groups synchronously. This explorative study describes the strategies and experiences related to regulating the activities of seven groups of students, as reported by two teachers, and aimed to widen the framework for describing teacher regulation of CSCL settings that are characterized by synchronicity. Recurring themes included the high amount of information load teachers experienced while diagnosing students’ needs, the focus and level of regulation, and the way the teachers used prior knowledge of students to decide on an intervention after diagnosis. Both teachers valued the ability to monitor student progress online, and mentioned the necessity of students being able to follow the teacher’s activity as well. Theoretical implications are described in terms of understanding teacher regulation, synchronicity, and information load. Practical implications are described for lowering information load.     

Secondary school educators' perceptions and practices in handling cyberbullying among adolescents: A cluster analysis

School educators play an important role in cyberbullying management. Since scarce earlier research indicated low perceived competence of school educators in handling cyberbullying, more insight is needed in what determines their actions and how to improve these practices. This study assessed school educator practices, their perceptions and context factors from a behavior change theoretical framework, and investigated educator clusters related to this. An online survey was conducted among 451 secondary school educators (teachers, principals, school counselors). School educators mostly used recommended actions (i.e. conversations with pupils, enlisting professionals for support, parental involvement, providing supportive victim advice). Four educator clusters were identified: ‘referrers’ (65%), ‘disengaged’ educators (14%), ‘concerned’ educators (12%) and ‘use all means’ educators (9%). The first two clusters were less adept at handling cyberbullying and comprised mostly teachers, particularly indicating a need for training teachers. Our findings show a need for tailored educator training, e.g. by job position, gender, school size and grade. The behavior change theoretical framework can help target educators' particular needs.     

Complexities of digital technology use and the teaching and learning of function

Many argue that digital technologies have the potential to enhance the teaching and learning of mathematics. However, the availability of technology is not sufficient to realise this potential. The study reported takes a detailed approach to investigate the utility of the particular offerings of the available technologies in the teaching and learning of a specific area of mathematics, functions. Sixteen affordances identified in the data are described. The complexity of the process involved in resolving a situation where particular affordances would be useful so as they are perceived and enacted is detailed. Finally, a grounded theory framework arising from the data analysis from this study that can be used to explain, predict and guide action in other digital environments is presented.     

MOOC study group: Facilitation strategies,influential factors,and student perceived gains

“Join a Meetup Group” (face-to-face study group) has been propagated by Coursera to build rapport and provide mutual support among MOOC learners; however, studies remain scant regarding its effectiveness and sustainability. This interpretive case study documents our facilitation process, key influential factors, as well as student perceived gains in a six-week MOOC study group. Data sources include discussion recordings, end-of-course interviews, goal setting sheets, weekly reflection journals, and researchers' observation notes. Results showed that, cognitively, participants broadened their perspective of thinking, raised cultural awareness, and shared many learning strategies. Affectively, they established a strong sense of community and gained motivation for learning. Participants also increased action tendencies toward trying out Coursera functions, new courses, and learning strategies, and they became more cognizant of the benefits and procedures of the MOOC study group. Our findings suggest that, with proper design and facilitation, face-to-face study group would be a practicable and effective approach to leverage MOOC students' motivation, engagement, and deeper learning. Implications are discussed in terms of potential gains, challenges, key influential factors, as well as future design and implementation of MOOC study groups.     

Hypervariate constitutive modeling illustrated via aleatory uncertainty in a foundation model

Even if a ceramic's homogenized properties (such as anisotropically evolving stiffness) truly can be predicted from complete knowledge of sub-continuum morphology (e.g., locations, sizes, shapes, orientations, and roughness of trillions of crystals, dislocations, impurities, pores, inclusions, and/or cracks), the necessary calculations are untenably hypervariate. Non-productive (almost derailing) debates over shortcomings of various first-principles ceramics theories are avoided in this work by discussing numerical coarsening in the context of a pedagogically appealing buckling foundation model that requires only sophomore-level understanding of springs, buckling hinges, dashpots, etc. Bypassing pre-requisites in constitutive modeling, this work aims to help students to understand the difference between damage and plasticity while also gaining experience in Monte-Carlo numerical optimization via scale-bridging that reduces memory and processor burden by orders of magnitude while accurately preserving aleatory (finite-sampling) perturbations that are crucial to accurately predict bifurcations, such as ceramic fragmentation.     

1970年以后欧美建筑再利用的学术发展概览

本文介绍了西方关于建筑再利用的理论研究和教学概况，以期为国内更好地理解建筑再利用问题以及将来 开展相关研究、教学和项目实践提供些许参考。本文第一部分介绍了建筑再利用的理论研究，从建筑学领域和遗 产保护领域这两个方面分开阐述，建筑学领域关于建筑再利用的理论研究主要分为类型学、技术派、建筑策略和 室内设计等方向，遗产保护领域关于建筑再利用的专门讨论是近几年才开始的，主要包括适应性再利用、可持续 再利用和共同演变式再利用等方向。第二部分介绍了建筑再利用的教学情况，首先以米兰理工大学为例介绍了建 筑学科下关于建筑再利用的专业课程教学，接着以美国罗德岛设计学院和比利时哈瑟尔特大学等高校为代表介绍 了关于建筑适应性再利用的专业硕士培训项目，最后介绍了欧盟关于现代主义建筑再利用以及其他高校关于建筑 再利用的硕士培训项目。     

“感知与人机交互”教学实践与PBL模式探索

机器人工程是在国家新工科发展战略背景下为了适应机器人专业人才需求而新近创建的专业。本文依托东南大学机器人工程专业教学体系，介绍了“感知与人机交互”课程的教学实践，探索了PBL教学模式在本门课程中的应用。具体介绍了课程教学内容设置、PBL教学方案例设计及存在问题分析等，可为自动化类机器人工程专业的相关课程教学实践提供参考。