26,282 research outputs found

    A case study in online formal/informal learning: was it collaborative or cooperative learning?

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    Developing skills in communication and collaboration is essential in modern design education, in order to prepare students for the realities of design practice, where projects involve multidisciplinary teams, often working remotely. This paper presents a learning activity that focusses on developing communication and collaboration skills of undergraduate design students working remotely and vocational learners based in a community makerspace. Participants were drawn from these formal and informal educational settings and engaged in a design-make project framed in the context of distributed manufacturing. They were given designer or maker roles and worked at distance from each other, communicating using asynchronous online tools. Analysis of the collected data has identified a diversity of working practice across the participants, and highlighted the difficulties that result from getting students to work collaboratively, when not collocated. This paper presents and analysis of participants’ communications, with a view to identify whether they were learning collaboratively, or cooperatively. It was found that engaging participants in joint problem solving is not enough to facilitate collaboration. Instead effective collaboration depends on symmetry within the roles of participants and willingness to share expertise through dialogue. Designing learning activities to overcome the challenges that these factors raise is a difficult task, and the research reported here provides some valuable insight

    Teaching and learning in live online classrooms

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    Online presence of information and services is pervasive. Teaching and learning are no exception. Courseware management systems play an important role in enhancing instructional delivery for either traditional day, full-time students or non-traditional evening, party-time adult learners enrolled in online programs. While online course management tools are with no doubt practical, they limit, however, live or synchronous communication to chat rooms, whose discourse has little in common with face-to-face class communication. A more recent trend in online teaching and learning is the adoption and integration of web conferencing tools to enable live online classrooms and recreate the ethos of traditional face-to-face sessions. In this paper we present the experience we have had with the adoption of the LearnLincÂź web conferencing tool, an iLinc Communications, Inc. product. We have coupled LearnLinc with BlackboardÂź, for the online and hybrid computer science courses we offered in the past academic year in the evening undergraduate and graduate computer science programs at Rivier College. Twelve courses, enrolling over 150 students, have used the synchronous online teaching capabilities of LearnLinc. Students who took courses in the online or hybrid format could experience a comparable level of interaction, participation, and collaboration as in traditional classes. We solicited student feedback by administering a student survey to over 100 students. The 55% response rate produced the data for this paper\u27s study. We report on the study\u27s findings and show students\u27 rankings of evaluation criteria applied to hybrid and online instructional formats, with or without a web conferencing tool. Our analysis shows that students ranked favorably LearnLinc live sessions added to Blackboard-only online classes. In addition, how they learned in live online classrooms was found to be the closest to the hybrid class experience with regard to teaching practices they perceived as most important to them, such as seeking instructor\u27s assistance, managing time on task, and exercising problem solving skills

    Analytic frameworks for assessing dialogic argumentation in online learning environments

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    Over the last decade, researchers have developed sophisticated online learning environments to support students engaging in argumentation. This review first considers the range of functionalities incorporated within these online environments. The review then presents five categories of analytic frameworks focusing on (1) formal argumentation structure, (2) normative quality, (3) nature and function of contributions within the dialog, (4) epistemic nature of reasoning, and (5) patterns and trajectories of participant interaction. Example analytic frameworks from each category are presented in detail rich enough to illustrate their nature and structure. This rich detail is intended to facilitate researchers’ identification of possible frameworks to draw upon in developing or adopting analytic methods for their own work. Each framework is applied to a shared segment of student dialog to facilitate this illustration and comparison process. Synthetic discussions of each category consider the frameworks in light of the underlying theoretical perspectives on argumentation, pedagogical goals, and online environmental structures. Ultimately the review underscores the diversity of perspectives represented in this research, the importance of clearly specifying theoretical and environmental commitments throughout the process of developing or adopting an analytic framework, and the role of analytic frameworks in the future development of online learning environments for argumentation

    Assessment and learning outcomes: the evaluation of deep learning in an on-line course

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    Using an online learning environment, students from European countries collaborated and communicated to carry out problem based learning in occupational therapy. The effectiveness of this approach was evaluated by means of the final assessments and published learning outcomes. In particular, transcripts from peer-to-peer sessions of synchronous communication were analysed. The SOLO taxonomy was used and the development of deep learning was studied week by week. This allowed the quality of the course to be appraised and showed, to a certain extent, the impact of this online international course on the learning strategies of the students. Results indicate that deep learning can be supported by synchronous communication and online meetings between course participants.</p

    Computer support for collaborative learning environments

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    This paper deals with computer support for collaborative learning environments. Our analysis is based on a moderate constructivist view on learning, which emphasizes the need to support learners instructionally in their collaborative knowledge construction. We will first illustrate the extent to which the computer can provide tools for supporting collaborative knowledge construction. Secondly, we will focus on instruction itself and show the kinds of advanced instructional methods that computer tools may provide for the learners. Furthermore, we will discuss the learners’ prerequisites and how they must be considered when constructing learning environments.Dieser Bericht behandelt die UnterstĂŒtzung kooperativer Lernumgebungen durch den Einsatz von Computern. Der theoretische Hintergrund greift auf einen moderaten Konstruktivismus zurĂŒck, der die Notwendigkeit einer instruktionalen UnterstĂŒtzung fĂŒr die gemeinsame Wissenskonstruktion betont. Darauf aufbauend beschreibt der Bericht in einem ersten Schritt, wie der Computer Werkzeuge zur gemeinsamen Wissenskonstruktion bereitstellen kann. Im zweiten Teil steht die Instruktion fĂŒr das kooperative Lernen im Vordergrund. Dabei werden Methoden instruktionaler UnterstĂŒtzung vorgestellt, die computerbasierte Werkzeuge fĂŒr die gemeinsame Wissenskonstruktion bereitstellen, insbesondere Skripts und inhaltliche Strukturvorgaben. DarĂŒber hinaus beschreibt der Bericht, inwieweit individuelle Lernereigenschaften, wie z.B. das Vorwissen, einen Einfluss auf die Realisierung von Lernumgebungen haben

    Asynchronous Parallel Stochastic Gradient Descent - A Numeric Core for Scalable Distributed Machine Learning Algorithms

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    The implementation of a vast majority of machine learning (ML) algorithms boils down to solving a numerical optimization problem. In this context, Stochastic Gradient Descent (SGD) methods have long proven to provide good results, both in terms of convergence and accuracy. Recently, several parallelization approaches have been proposed in order to scale SGD to solve very large ML problems. At their core, most of these approaches are following a map-reduce scheme. This paper presents a novel parallel updating algorithm for SGD, which utilizes the asynchronous single-sided communication paradigm. Compared to existing methods, Asynchronous Parallel Stochastic Gradient Descent (ASGD) provides faster (or at least equal) convergence, close to linear scaling and stable accuracy

    Effective online interaction: mapping course design to bridge from research to practice

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    Quantitative and qualitative research of a case study course confirmed that the course achieved a highly interactive learning experience, associated with more effective student support and high student retention. Computer conferencing achieved high participation from the beginning and evidence of dialogue and argumentation within online tutor groups. This was achieved not by active tutor moderation but by a sequence of structured tasks. Compendium mind mapping software has been used to represent the design of this sequence of tasks and this has refined interpretation of the research findings. The positive outcomes identified relate not purely to computer conferencing but to an integration of individual and group tasks feeding forward into a well-designed assignment. The usability of case study data relates to the ability of practitioners to compare their own context with that of the case. The visual representation of the design of the task sequence is providing a better bridge from the research to the practice context than the use of general description of findings alone. This is particularly important in an area which has generated a range of sometimes conflicting findings, with weak links to the challenges of course design

    Social media in collaborative learning in higher education : a qualitative case study of teachers’ and students’ views

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    In this study, it was investigated how social media are used in collaborative learning in higher education and also how it can be better used in teaching and learning according to the students and teachers. The research questions of this study were: 1) How social media are used in collaborative learning by the teachers and students in higher education for educational purposes? 2) How could social media be used in collaborative learning process in higher education, according to the students and teachers? Qualitative interviews were conducted to collect the data from ten students and five teachers from the different faculties of University of Lapland and Lapland University of Applied Sciences. In conclusion it was found that, social media were not much used in collaboration with teachers by the students of both institutions. In case of teachers, it was found that all of them were using social media in their collaborative ways of teaching design and they have found social media as useful tool to deliver their teaching. Most of the students and all the teachers found social media to be useful in their teaching and learning. But there were also some challenges faced and areas of improvements identified by them. Thus the higher educational institutions should understand the importance of using social media in teaching and learning and take initiatives to overcome the current challenges identified by the students and teachers
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