Embedding blended learning in a university’s teaching culture: experiences and reflections

Blended learning, the combination of traditional face-to-face teaching methods with authentic on-line learning activities, has the potential to transform student learning experiences and outcomes. In spite of this advantage, university teachers often find it difficult to adopt new on-line techniques, in part because institutional practices are still geared to support more traditional approaches. This paper describes how a project, funded to support international collaboration to enhance learning and teaching in Geography, has allowed a university to explore models for change. It briefly examines the associated issues of sharing and repurposing resources; it reflects on the impact of the project on local strategy, and the importance of sustaining the collaborations and approaches to learning and teaching after the funding is completed

Panning for gold: designing pedagogically-inspired learning nuggets

Tools to support teachers and learning technologists in the creation of effective learning designs are currently in their infancy. This paper describes a metadata model, devised to assist in the conception and design of new learning activities, that has been developed, used and evaluated over a period of three years. The online tool that embodies this model was not originally intended to produce runtime executable code such as IMS-LD, but rather focussed on assisting teachers in the thought processes involved in selecting appropriate methods, tools, student activities and assessments to suit the required learning objectives. Subsequently, we have modified the RELOAD editor such that the output from our tool can be translated into IMS-LD. The contribution of this paper is the comparison of our data model with that of IMS-LD, and the analysis of how each can inform the other

Effective Shifting of Software Capstone Demonstrations to an Online Experience

The rapid transition to remote instruction during the coronavirus disease of 2019 (COVID-19) pandemic created many challenges for students, instructors, and, in the case of a capstone software development course, clients of project teams. We describe an approach for creating and delivering a successful, online culminating event that involved all stakeholders that also addresses learning outcomes such as solving open-ended problems and communicating effectively. We describe the processes and technologies we used and offer feedback that we collected from participants. We conclude with lessons learned in order to improve the experience in future offerings

A Roadmap to Health Insurance for All: Principles for Reform

Presents principles for health insurance reform and compares the potential of three approaches -- tax incentives for the individual insurance market; mixed private-public group insurance with shared financing responsibility; and public insurance

Relaxation dynamics of the Lieb-Liniger gas following an interaction quench: A coordinate Bethe-ansatz analysis

We investigate the relaxation dynamics of the integrable Lieb-Liniger model of contact-interacting bosons in one dimension following a sudden quench of the collisional interaction strength. The system is initially prepared in its noninteracting ground state and the interaction strength is then abruptly switched to a positive value, corresponding to repulsive interactions between the bosons. We calculate equal-time correlation functions of the nonequilibrium Bose field for small systems of up to five particles via symbolic evaluation of coordinate Bethe-ansatz expressions for operator matrix elements between Lieb-Liniger eigenstates. We characterize the relaxation of the system by comparing the time-evolving correlation functions following the quench to the equilibrium correlations predicted by the diagonal ensemble and relate the behavior of these correlations to that of the quantum fidelity between the many-body wave function and the initial state of the system. Our results for the asymptotic scaling of local second-order correlations with increasing interaction strength agree with the predictions of recent generalized thermodynamic Bethe-ansatz calculations. By contrast, third-order correlations obtained within our approach exhibit a markedly different power-law dependence on the interaction strength as the Tonks-Girardeau limit of infinitely strong interactions is approached.Comment: 19 pages, 10 figures. v3: Final version. Typos fixed, and other minor change

Organizing the U.S. Health Care Delivery System for High Performance

Analyzes the fragmentation of the healthcare delivery system and makes policy recommendations -- including payment reform, regulatory changes, and infrastructure -- for creating mechanisms to coordinate care across providers and settings

Closing the Divide: How Medical Homes Promote Equity in Health Care

Presents findings from the Commonwealth Fund 2006 Health Care Quality Survey, and demonstrates how having stable insurance, a regular provider and, in particular, a medical home, improves health care access and quality among vulnerable populations

Mirror, Mirror on the Wall: An International Update on the Comparative Performance of American Health Care

Using data from patient and physician surveys, finds that the U.S. healthcare system ranks last or next-to-last when comparing healthcare performance against that of five other nations -- Australia, Canada, Germany, New Zealand, the United Kingdom

Conceptual modeling in the era of Big Data and Artificial Intelligence: Research topics and introduction to the special issue

Since the first version of the Entity–Relationship (ER) model proposed by Peter Chen over forty years ago, both the ER model and conceptual modeling activities have been key success factors for modeling computer-based systems. During the last decade, conceptual modeling has been recognized as an important research topic in academia, as well as a necessity for practitioners. However, there are many research challenges for conceptual modeling in contemporary applications such as Big Data, data-intensive applications, decision support systems, e-health applications, and ontologies. In addition, there remain challenges related to the traditional efforts associated with methodologies, tools, and theory development. Recently, novel research is uniting contributions from both the conceptual modeling area and the Artificial Intelligence discipline in two directions. The first one is efforts related to how conceptual modeling can aid in the design of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. The second one is how Artificial Intelligence and Machine Learning can be applied in model-based solutions, such as model-based engineering, to infer and improve the generated models. For the first time in the history of Conceptual Modeling (ER) conferences, we encouraged the submission of papers based on AI and ML solutions in an attempt to highlight research from both communities. In this paper, we present some of important topics in current research in conceptual modeling. We introduce the selected best papers from the 37th International Conference on Conceptual Modeling (ER’18) held in Xi’an, China and summarize some of the valuable contributions made based on the discussions of these papers. We conclude with suggestions for continued research.The research reported in this paper was partially funded by the ECLIPSE-UA (RTI2018-094283-B-C32) and the AETHER-UA (PID2020-112540RB-C43) Projects from the Spanish Ministry of Science and Innovation