Rich environments for active learning: a definition

Rich Environments for Active Learning, or REALs, are comprehensive instructional systems that evolve from and are consistent with constructivist philosophies and theories. To embody a constructivist view of learning, REALs: promote study and investigation within authentic contexts; encourage the growth of student responsibility, initiative, decision making, and intentional learning; cultivate collaboration among students and teachers; utilize dynamic, interdisciplinary, generative learning activities that promote higher-order thinking processes to help students develop rich and complex knowledge structures; and assess student progress in content and learning-to-learn within authentic contexts using realistic tasks and performances. REALs provide learning activities that engage students in a continuous collaborative process of building and reshaping understanding as a natural consequence of their experiences and interactions within learning environments that authentically reflect the world around them. In this way, REALs are a response to educational practices that promote the development of inert knowledge, such as conventional teacher-to-student knowledge-transfer activities. In this article, we describe and organize the shared elements of REALs, including the theoretical foundations and instructional strategies to provide a common ground for discussion. We compare existing assumptions underlying education with new assumptions that promote problem-solving and higher-level thinking. Next, we examine the theoretical foundation that supports these new assumptions. Finally, we describe how REALs promote these new assumptions within a constructivist framework, defining each REAL attribute and providing supporting examples of REAL strategies in action

Enhancing design learning using groupware

Project work is increasingly used to help engineering students integrate, apply and expand on knowledge gained from theoretical classes in their curriculum and expose students to 'real world' tasks [1]. To help facilitate this process, the department of Design, Manufacture and Engineering Management at the University of Strathclyde has developed a web±based groupware product called LauLima to help students store, share, structure and apply information when they are working in design teams. This paper describes a distributed design project class in which LauLima has been deployed in accordance with a Design Knowledge Framework that describes how design knowledge is generated and acquired in industry, suggesting modes of design teaching and learning. Alterations to the presentation, delivery and format of the class are discussed, and primarily relate to embedding a more rigorous form of project-based learning. The key educational changes introduced to the project were: the linking of information concepts to support the design process; a multidisciplinary team approach to coaching; and a distinction between formal and informal resource collections. The result was a marked improvement in student learning and ideation

Innovation and Employability in Knowledge Management Curriculum Design

During 2007/8, Southampton Solent University worked on a Leadership Foundation project focused on the utility of the multi-functional team approach as a vehicle to deliver innovation in strategic and operational terms in higher education (HE). The Task-Orientated Multi-Functional Team Approach (TOMFTA) project took two significant undertakings for Southampton Solent as key areas for investigation, one academic and one administrative in focus. The academic project was the development of an innovative and novel degree programme in knowledge management (KM). The new KM Honours degree programme is timely both in recognition of the increasing importance to organisations of knowledge as a commodity, and in its adoption of a distinctive structure and pedagogy. The methodology for the KM curriculum design brings together student-centred and market-driven approaches: positioning the programme for the interests of students and requirements of employers, rather than just the capabilities of staff; while looking at ways that courses can be delivered with more flexibility, e.g. accelerated and block-mode; with level-differentiated activities, common cross-year content and material that is multi-purpose for use in short courses. In order to permit context at multiple levels in common, a graduate skills strand is taught separately as part of the University’s business-facing education agenda. The KM portfolio offers a programme of practically-based courses integrating key themes in knowledge management, business, information distribution and development of the media. They develop problem-solving, communications, teamwork and other employability skills as well as the domain skills needed by emerging information management technologies. The new courses are built on activities which focus on different aspects of KM, drawing on existing content as a knowledge base. This paper presents the ongoing development of the KM programme through the key aspects in its conception and design

An interprofessional, intercultural, immersive short-term study abroad program: public health and service systems in rome

The purpose of this paper is to describe a short-term study abroad program that exposes engineering and nursing undergraduate students from the United States and Italy to an intercultural and interprofessional immersion experience. Faculty from Purdue University and Sapienza Università di Roma collaborated to design a technical program that demonstrates the complementary nature of engineering and public health in the service sector, with Rome as an integral component of the program. Specifically, the intersection of topics including systems, reliability, process flow, maintenance management, and public health are covered through online lectures, in-class activities and case study discussions, field experiences, and assessments. Herein, administrative issues such as student recruitment, selection, and preparation are elucidated. Additionally, the pedagogical approach used to ensure constructive alignment among the program goals, the intended learning outcomes, and the teaching and learning activities is described. Finally, examples of learning outcomes resulting from this alignment are provided

Facilitating collaborative knowledge construction in computer-mediated learning with structuring tools

Collaborative knowledge construction in computer-mediated learning environments puts forward difficulties regarding what tasks learners work on and how learners interact with each other. For instance, learners who collaboratively construct knowledge in computer-mediated learning environments sometimes do not participate actively or engage in off-task talk. Computer-mediated learning environments can be endorsed with socio-cognitive structuring tools that structure the contents to be learned and suggest specific interactions for collaborative learners. In this article, two studies will be reported that applied content- and interaction-oriented structuring tools in computer-mediated learning environments based on electronic bulletin boards and videoconferencing technologies. In each study the factors "content-oriented structuring tool" and "interaction-oriented structuring tool" have been independently varied in a 2X2-factorial design. Results show that interaction-oriented structuring tools substantially foster the processes of collaborative knowledge construction as well as learning outcomes. The content-oriented structuring tools facilitate the processes of collaborative knowledge construction, but have no or negative effects on learning outcome. The findings will be discussed against the background of recent literatGemeinsame Wissenskonstruktion in computervermittelten Lernumgebungen birgt Schwierigkeiten in Bezug darauf, welche Aufgaben Lernende bearbeiten und wie sie dabei miteinander interagieren. Lernende, die gemeinsam Wissen in computervermittelten Lernumgebungen konstruieren, nehmen z. B. manchmal nicht aktiv an der Bearbeitung von Lernaufgaben teil oder beschäftigen sich mit inhaltsfremden Themen. Computervermittelte Lernumgebungen können mit Hilfe sozio-kognitiver Strukturierungswerkzeuge unterstützt werden, die die Lerninhalte vorstrukturieren und den Lernenden spezifische Interaktionen nahe legen. In diesem Beitrag werden zwei Studien berichtet, die inhalts- und interaktionsbezogene Strukturierungswerkzeuge in computervermittelten Lernumgebungen, die auf web-basierten Diskussionsforen und Videokonferenz-Technologien beruhen, zum Einsatz gebracht und analysiert haben. In jeder der Studien wurden die Faktoren "inhaltsbezogenes Strukturierungswerkzeug" und "interaktionsbezogenes Strukturierungswerkzeug" unabhängig voneinander in einem 2X2-Design variiert. Die Ergebnisse zeigen, dass interaktionsbezogene Strukturierungswerkzeuge die Prozesse sowie die Ergebnisse gemeinsamer Wissenskonstruktion substanziell fördern können. Die inhaltsbezogenen Strukturierungswerkzeuge unterstützen die Prozesse gemeinsamer Wissenskonstruktion, zeitigen aber keine oder negative Effekte auf die Lernergebnisse. Die Befunde werden vor dem Hintergrund aktueller theoretischer Ansätze diskut

School Leader Update, February 2008

Monthly newsletter produced by Iowa Department of Educatio

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

The effect of multiple knowledge sources on learning and teaching

Current paradigms for machine-based learning and teaching tend to perform their task in isolation from a rich context of existing knowledge. In contrast, the research project presented here takes the view that bringing multiple sources of knowledge to bear is of central importance to learning in complex domains. As a consequence teaching must both take advantage of and beware of interactions between new and existing knowledge. The central process which connects learning to its context is reasoning by analogy, a primary concern of this research. In teaching, the connection is provided by the explicit use of a learning model to reason about the choice of teaching actions. In this learning paradigm, new concepts are incrementally refined and integrated into a body of expertise, rather than being evaluated against a static notion of correctness. The domain chosen for this experimentation is that of learning to solve "algebra story problems." A model of acquiring problem solving skills in this domain is described, including: representational structures for background knowledge, a problem solving architecture, learning mechanisms, and the role of analogies in applying existing problem solving abilities to novel problems. Examples of learning are given for representative instances of algebra story problems. After relating our views to the psychological literature, we outline the design of a teaching system. Finally, we insist on the interdependence of learning and teaching and on the synergistic effects of conducting both research efforts in parallel