The Art History Canon and the Art History Survey Course: Subverting the Western Narrative.

Art History enrollments at the college level are declining as students flock to STEM majors and perceive Art History as dated and of little use in today’s modern, scientific world. Yet Art History classes can teach valuable skills. When taught in a broad context, the objects art history studies engage critical thinking and can generate new forms of knowledge. However, the pedagogical structure and content of introductory art history survey course does not always offer students the creative leeway to make these connections. Instructors at the college level often retreat to the methods and content that have been a part of the discipline since its inception in the late 19thcentury; the professor as expert authority on the western canon of objects and the grand narrative of progressive development that accompanies them. As university students are becoming more ethnically and socially diverse, the objects covered in the survey continue to speak to a white, European audience that is no longer the only audience listening. While art history remains useful, its canon of objects has become problematic, and reinforces the othering of the non- western world. This essay will first examine how the modern canon and art history’s pedagogical practices came to be by examining the history of the discipline, and the theories, methods and texts that developed alongside academic art history. It will then take a brief look at how modern philosophy, primarily the conceptual ideas of Deleuze and Guattari, can provide a new framework for examining how the teaching of art history can be globalized and taught in a more meaningful way

Applying science of learning in education: Infusing psychological science into the curriculum

The field of specialization known as the science of learning is not, in fact, one field. Science of learning is a term that serves as an umbrella for many lines of research, theory, and application. A term with an even wider reach is Learning Sciences (Sawyer, 2006). The present book represents a sliver, albeit a substantial one, of the scholarship on the science of learning and its application in educational settings (Science of Instruction, Mayer 2011). Although much, but not all, of what is presented in this book is focused on learning in college and university settings, teachers of all academic levels may find the recommendations made by chapter authors of service. The overarching theme of this book is on the interplay between the science of learning, the science of instruction, and the science of assessment (Mayer, 2011). The science of learning is a systematic and empirical approach to understanding how people learn. More formally, Mayer (2011) defined the science of learning as the “scientific study of how people learn” (p. 3). The science of instruction (Mayer 2011), informed in part by the science of learning, is also on display throughout the book. Mayer defined the science of instruction as the “scientific study of how to help people learn” (p. 3). Finally, the assessment of student learning (e.g., learning, remembering, transferring knowledge) during and after instruction helps us determine the effectiveness of our instructional methods. Mayer defined the science of assessment as the “scientific study of how to determine what people know” (p.3). Most of the research and applications presented in this book are completed within a science of learning framework. Researchers first conducted research to understand how people learn in certain controlled contexts (i.e., in the laboratory) and then they, or others, began to consider how these understandings could be applied in educational settings. Work on the cognitive load theory of learning, which is discussed in depth in several chapters of this book (e.g., Chew; Lee and Kalyuga; Mayer; Renkl), provides an excellent example that documents how science of learning has led to valuable work on the science of instruction. Most of the work described in this book is based on theory and research in cognitive psychology. We might have selected other topics (and, thus, other authors) that have their research base in behavior analysis, computational modeling and computer science, neuroscience, etc. We made the selections we did because the work of our authors ties together nicely and seemed to us to have direct applicability in academic settings

University academics as employees and creators of copyright works: university academics as owners of copyright?

Examines whether the copyright in works created by academics are owned by themselves or their university employers, addressing: (1) the nature of these works; (2) how the academic's contract of service affects his or her employment status; and (3) the meaning of "in the course of employment" under the Copyright, Designs and Patents Act 1988 s.11. Discusses how the issue is treated in the typical intellectual property policies of UK universities

Transportation Life Cycle Assessment Synthesis: Life Cycle Assessment Learning Module Series

The Life Cycle Assessment Learning Module Series is a set of narrated, self-advancing slideshows on various topics related to environmental life cycle assessment (LCA). This research project produced the first 27 of such modules, which are freely available for download on the CESTiCC website http://cem.uaf.edu/cesticc/publications/lca.aspx. Each module is roughly 15- 20 minutes in length and is intended for various uses such as course components, as the main lecture material in a dedicated LCA course, or for independent learning in support of research projects. The series is organized into four overall topical areas, each of which contain a group of overview modules and a group of detailed modules. The A and α groups cover the international standards that define LCA. The B and β groups focus on environmental impact categories. The G and γ groups identify software tools for LCA and provide some tutorials for their use. The T and τ groups introduce topics of interest in the field of transportation LCA. This includes overviews of how LCA is frequently applied in that sector, literature reviews, specific considerations, and software tutorials. Future modules in this category will feature methodological developments and case studies specific to the transportation sector

A Survey of Smart Classroom Literature

Recently, there has been a substantial amount of research on smart classrooms, encompassing a number of areas, including Information and Communication Technology, Machine Learning, Sensor Networks, Cloud Computing, and Hardware. Smart classroom research has been quickly implemented to enhance education systems, resulting in higher engagement and empowerment of students, educators, and administrators. Despite decades of using emerging technology to improve teaching practices, critics often point out that methods miss adequate theoretical and technical foundations. As a result, there have been a number of conflicting reviews on different perspectives of smart classrooms. For a realistic smart classroom approach, a piecemeal implementation is insufficient. This survey contributes to the current literature by presenting a comprehensive analysis of various disciplines using a standard terminology and taxonomy. This multi-field study reveals new research possibilities and problems that must be tackled in order to integrate interdisciplinary works in a synergic manner. Our analysis shows that smart classroom is a rapidly developing research area that complements a number of emerging technologies. Moreover, this paper also describes the co-occurrence network of technological keywords using VOSviewer for an in-depth analysis

Small-group teaching in geography.

The manual guides staff in geography departments through the purposes, advantages and disadvantages of small-group teaching as an educational device in geography degrees. The manual covers issues of authority, roles, syllabus, learning outcomes and skills. It highlights areas of potential difficulty and how to cope with these. There is a wide range of examples of how small-group teaching can be used with different types of material, students at different stages, and to achieve a variety of learning outcomes and skills

Light-weight ontologies for scrutable user modelling

This thesis is concerned with the ways light-weight ontologies can support scrutability for large user models and the user modelling process. It explores the role that light-weight ontologies can play, and how they can be exploited, for the purpose of creating and maintaining large, scrutable user models consisting of hundreds of components. We address problems in four key areas: ontology creation, metadata annotation, creation and maintenance of large user models, and user model visualisation, with a goal to provide a simple and adaptable approach that maintains scrutability. Each of these key areas presents a number of challenges that we address. Our solution is the development of a toolkit, LOSUM, which consists of a number of tools to support the user modelling process. It incorporates light-weight ontologies to fulfill a number of roles: aiding in metadata creation, providing structure for large user model visualisation, and as a means to reason across granularities in the user model. In conjunction with this, LOSUM also features a novel visualisation tool, SIV, which performs a dual role of ontology and user model visualisation, supporting the process of ontology creation, metadata annotation, and user model visualisation. We evaluated our approach at each stage with small user studies, and conducted a large scale integrative evaluation of these approaches together in an authentic learning context with 114 students, of whom 77 had exposure to their learner models through SIV. The results showed that students could use the interface and understand the process of user model construction. The flexibility and adaptability of the toolkit has also been demonstrated in its deployment in several other application areas

Student exam analysis (debriefing) promotes positive changes in exam preparation and learning

Traditional exam review sessions, typically conducted orally and in class by the instructor, are intended to identify the most frequently missed or problematic question with the intent of helping students perform better on subsequent exams. The shortcoming of this instructor-led activity is that it tends to focus on issues with content or understanding rather than helping the individual student prevent or avoid similar mistakes on future exams. Here, we report that students who performed a more comprehensive out-of-class exam debrief after the first exam significantly improve their exam performance compared with students that did not conduct the exam debrief. We also identify the most common mistakes that students make on exams and the most frequent self-selected strategies to improve their learning. By having students focus on missed questions coupled with addressing deficiencies in their test preparation strategies and behaviors, they likely engage in more self-regulated learning to better prepare for exams and avoid repeating past mistakes