德国项目教学法在高职教学中的实践与创新

项目教学法是德国＂双元制＂职业院校中盛行的教学模式,但多用于工科专业。自引入我国以来,对于工科类高职院校来说,效果非常明显,但对于财经类专业应用效果不尽人意。本文选取财经类专业岗位财务管理岗位实际工作情境之一——筹资,以项目教学法为基础,构建了包括教学情境的设计、学生学习步骤一览表的制定、学生学习步骤计划书的设计、学生自我测试及测试题库的设计、工作任务的设计、参考信息的提供、学习方法和策略的指导、项目成果的展示要求、教学评价方法的制定共9个部分组成的课堂教学体系。     

A good fit: the contribution of action learning to supervision practice

This paper discusses the value of action learning for social work supervisors. Recent years have seen renewed focus on supervision as a reflective space and some indications that the tide may be turning in regard to the dominance of managerial priorities within the supervision of direct practice. It is less evident that a similar shift is taking place for supervisors themselves and, anecdotally, many describe their own supervision as having a business focus with limited scope for reflective dialogue. While the traditional functions of supervision need to adapt to fit the responsibilities of those in management positions, it remains true that these staff provide a vital containing role within the organisational hierarchy. For that to be sustained, it is important that supervisors have space and structure within which to process the emotional, intellectual and practical challenges of their work. The integration of action learning sets within post-qualifying courses for supervisors has demonstrated a useful dual function. Firstly, they provide an effective model for group supervision, facilitating in-depth reflection on complex practice issues. Secondly, they offer managers a peer supervision forum; a safe place to explore dilemmas and share the vulnerabilities which belong to management roles as well as practice.     

Machine Learning for Drug Overdose Surveillance

ABSTRACT

We describe two recently proposed machine learning approaches for discovering emerging trends in fatal accidental drug overdoses. The Gaussian Process Subset Scan (Herlands, McFowland, Wilson, & Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) enables early detection of emerging patterns in spatio-temporal data, accounting for both the complex, correlated nature of the data and the fact that detecting subtle patterns requires integration of information across multiple spatial areas and multiple time steps. We apply this approach to 17 years of county-aggregated data for monthly opioid overdose deaths in the New York City metropolitan area, showing clear advantages in the utility of discovered patterns as compared to typical anomaly detection approaches. To detect and characterize emerging overdose patterns that differentially affect a subpopulation of the data, including geographic, demographic, and behavioral patterns (e.g., which combinations of drugs are involved), we apply the Multidimensional Tensor Scan (Neill, 2017 Neill, D. B. (2017). Multidimensional tensor scan for drug overdose surveillance. Journal of Public Health Informatics, 9(1), e20. doi:10.5210/ojphi.v9i1.7598[Crossref] , [Google Scholar]) to 8 years of case-level overdose data from Allegheny County, Pennsylvania. We discover previously unidentified overdose patterns which reveal unusual demographic clusters, show impacts of drug legislation, and demonstrate potential for early detection and targeted intervention. These approaches to early detection of overdose patterns can inform prevention and response efforts, as well as understanding the effects of policy changes.     

No Mind Reading Necessary: Conducting Evidence-Based Electronic Resource Marketing and Outreach Using Marketing Research Assessment

Abstract

In her presentation entitled “No Mind Reading Necessary: Conducting Evidence-Based Electronic Resource Marketing and Outreach” at the North Carolina Serials Conference April 2019, Kate Hill discussed marketing research strategies and outreach tools used to increase online users’ access to electronic resources and primary resources. In an effort to connect users to seldom-used resources, Jackson Library collaborated with university partners to develop surveys to identify the information-seeking behavior of its users and apply the gathered marketing research to strategically plan outreach activities.     

日本新订高中历史课程之特点与启示

2018年3月,日本发布新的《高等学校学习指导要领》。这是日本自第二次世界大战后70多年来,对高中课程最大规模的一次修订,体现了日本高中教育发展的新趋势,标志着日本从此告别“宽松教育”而走向“生存能力”教育。由“历史综合”“日本史探究”“世界史探究”组成的新高中历史课程,立足“人”的发展,构建了“必修+选修、通史+专题”的课程体系,课程内容更加突出本国史与世界史的联系,课程学习倡导“主题+探究”的学习方式。日本高中历史课程的内容设置及特点启示我们,高中历史课程编制应加强中国史与世界史的横向关联,课程内容应体现探究性学习要求。     

机器学习视角下中国去产能产业的识别

随着中国环境压力的增加,政府提出了供给侧改革,去产能是改革的主要内容,但是由于产业特征的实时演变,需要对政策进行完善。文章运用模糊C均值算法和支持向量机算法分析现阶段需要进行去产能的产业,结果发现在现行去产能政策中大部分行业是需要去产能的,但煤炭开采和洗选业以及铁路、船舶、航空航天和其他运输设备制造业已不适合继续去产能,同时将化学原料和化学制品制造业加入去产能行列中。     

Gaining by giving? Peer research into service user and carer perceptions of inclusivity in Higher Education

Abstract

Service users and carers (SUAC) have made significant contributions to professional training in social work courses in Higher Education (HE) over the past decade in the UK. Such participation has been championed by government, academics and SUAC groups from a range of theoretical and political perspectives. Most research into the effectiveness of SUAC involvement at HE has come from the perspectives of academics and very little SUAC-led research exists. This qualitative peer research was led by two members of the University of Worcester’s SUAC group. Findings were that SUAC perceived their involvement brought benefits to students, staff, the University and the local community. Significant personal benefits such as finding a new support network, increased self-development and greater confidence to manage their own care were identified in ways that suggested that the benefits that can flow from SUAC involvement at HE are perhaps more far-reaching than previously recognised. Barriers to inclusion were less than previously reported in the literature and the humanising effects of SUAC involvement are presented as a partial antidote to an increasingly marketised HE culture.     

Task-based learning approaches for supporting the development of social science researchers’ critical data skills

Conducting social science research is a complex process, and social science students face a number of learning challenges in order to develop their skills. Moreover, new sources and types of data including so-called big data are providing new opportunities for research, but also pose methodological challenges. In this article, we explore a task-based learning approach for teaching social science research methods. We draw on evidence from two case study learning tasks: (i) the collection and analysis of Twitter data; and (ii) designing and conducting a face-to-face and online survey. The students were guided to co-lead the tasks, apply their knowledge and then to critically reflect. The pedagogical framework of task-based learning provides opportunities to embed learning in new ways by integrating knowledge, practice and critical reflection. Task-based learning can create a dynamic learning environment and can empower students to develop their identities as researchers.     

马克思主义生态观与高校生态文明教育

马克思主义生态观是关于人与自然之间辩证关系的总体看法和根本观点,包含着人与自然、人与社会、人与人、人与自我和谐的重要主题,这对我国高校开展生态文明教育具有重要的理论指导。高校生态文明教育应以马克思主义生态观为指导,同时遵循科学性、综合性、实践性、发展性等原则,以确保教育目标实现。