23,908 research outputs found

    Principles in Patterns (PiP) : Piloting of C-CAP - Evaluation of Impact and Implications for System and Process Development

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    The Principles in Patterns (PiP) project is leading a programme of innovation and development work intended to explore and develop new technology-supported approaches to curriculum design, approval and review. It is anticipated that such technology-supported approaches can improve the efficacy of curriculum approval processes at higher education (HE) institutions, thereby improving curriculum responsiveness and enabling improved and rapid review mechanisms which may produce enhancements to pedagogy. Curriculum design in HE is a key "teachable moment" and often remains one of the few occasions when academics will plan and structure their intended teaching. Technology-supported curriculum design therefore presents an opportunity for improving academic quality, pedagogy and learning impact. Approaches that are innovative in their use of technology offer the promise of an interactive curriculum design process within which the designer is offered system assistance to better adhere to pedagogical best practice, is exposed to novel and high impact learning designs from which to draw inspiration, and benefits from system support to detect common design issues, many of which can delay curriculum approval and distract academic quality teams from monitoring substantive academic issues. This strand of the PiP evaluation (WP7:38) attempts to understand the impact of the PiP Class and Course Approval Pilot (C-CAP) system within specific stakeholder groups and seeks to understand the extent to which C-CAP is considered to support process improvements. As process improvements and changes were studied in a largely quantitative capacity during a previous but related evaluative strand, this strand includes the gathering of additional qualitative data to better understand and verify the business process improvements and change effected by C-CAP. This report therefore summarises the outcome of C-CAP piloting within a University faculty, presents the methodology used for evaluation, and the associated analysis and discussion. More generally this report constitutes an additional evaluative contribution towards a wider understanding of technology-supported approaches to curriculum design and approval in HE institutions and their potential in improving process transparency, efficiency and effectiveness

    Teacher development for formative assessment.

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    This article reports on the teacher development that occurred during a two-year research project on the formative assessment practices of primary and secondary school teachers of science. The teacher development involved the teachers' professional, personal and social development. The project focused on clarifying what it was that served as formative assessment in the classroom. Personal development focused upon appreciating the risks and uncertainties involved in responding to what students are learning and acknowledging the importance of teacher confidence. Social development involved a re-examination of the nature of student-teacher interactions and of the complex and often contradicting roles of the teacher in relation to teaching, learning and assessment

    Computation across the curriculum: What skills are needed?

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    Computation, the use of a computer to solve, simulate, or visualize a physical problem, has revolutionized how physics research is done. Computation is used widely to model systems, to simulate experiments, and to analyze data. Yet, in most undergraduate programs, students have little formal opportunity to engage with computation and, thus, are left to their own to develop their computational expertise. As part of a larger project to study how computation is incorporated in some undergraduate physics programs (and how it might be incorporated further), we convened a mini-conference and conducted a series of interviews with industry professionals, academic faculty, and employed bachelor's graduates who make use of computation in their everyday work. We present preliminary results that speak to how participants developed the requisite skills to do professional computational work and what skills they perceive are necessary to conduct such work.Comment: 4 pages; accepted to 2015 Physics Education Research Conference Proceeding

    A Conceptual Framework for Mobile Learning

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    Several technology projects have been launched to explore the opportunities that mobile technologies bring about when tackling issues of democratic participation and social inclusion through mobile learning. Mobile devices are cheaper than for instance a PC, and their affordance, usability and accessibility are such that they can potentially complement or even replace traditional computer technology. The importance of communication and collaboration features of mobile technologies has been stressed in the framework of ICT-mediated learning. In this paper, a theoretical framework for mobile learning and e-inclusion is developed for people outside the conventional education system. The framework draws upon the fields of pedagogy (constructivist learning in particular), mobile learning objects and sociology.Mobile Learning, Digital Divide, Constructivist Pedagogy, Forms Of Capital

    Learning from the early adopters: developing the digital practitioner

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    This paper explores how Sharpe and Beetham’s Digital Literacies Framework which was derived to model students’ digital literacies, can be applied to lecturers’ digital literacy practices. Data from a small-scale phenomenological study of higher education lecturers who used Web 2.0 in their teaching and learning practices are used to examine if this pyramid model represents their motivations for adopting technology-enhanced learning in their pedagogic practices. The paper argues that whilst Sharpe and Beetham’s model has utility in many regards, these lecturers were mainly motivated by the desire to achieve their pedagogic goals rather than by a desire to become a digital practitioner

    Applying self-organised learning to develop critical thinkers for learning organisation: a conversational action research report.

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    The information explosion characteristic of a knowledge-based economy is fuelled by rapid technological changes. As technology continues to permeate our lives, there will be fresh demands upon the conduct of learning and teaching to ensure that learners are equipped with new economy skills and dispositions for creating significant and relevant meaning out of the large chunks of transmitted data. In the spirit of building learning organisations, this paper proposes that a two-pronged strategy of promoting self-organised learning (SoL) amongst educators and students be adopted. As an enabling framework based on social constructivism, the model of SoL, originally developed by Harri-Augstein & Thomas, is described and applied to an educational setting. For educators engaged in action research, SoL is suited as an approach for managing and reflecting upon change. The use of two such thinking tools, the Personal Learning Contract and the Purpose-Strategy-Outcome-Review (PSOR) reflective learning scaffolds are considered. For students who are now expected to learn independently in situations requiring problem-solving skills, much akin to real life contexts, this article also considers the application of Learning Plans as a conversational tool for personal project management. The authors conclude that SoL promotes skilful critical thinking through a systems thinking process of continuous reflective learning. It is proposed that these are essential qualities for citizens working in a technological age. Case study samples of the thinking tools used in this action research project are included as appendices and evaluated in this article

    Quantum Theory as Universal Theory of Structures – Essentially from Cosmos to Consciousness

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    Quantum theory is the most successful physical theory ever. About one third of the gross national product in the developed countries results from its applications. These applications range from nuclear power to most of the high-tech tools for computing, laser, solar cells and so on. No limit for its range of validity has been found up to now..

    Slave to the Algorithm? Why a \u27Right to an Explanation\u27 Is Probably Not the Remedy You Are Looking For

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    Algorithms, particularly machine learning (ML) algorithms, are increasingly important to individuals’ lives, but have caused a range of concerns revolving mainly around unfairness, discrimination and opacity. Transparency in the form of a “right to an explanation” has emerged as a compellingly attractive remedy since it intuitively promises to open the algorithmic “black box” to promote challenge, redress, and hopefully heightened accountability. Amidst the general furore over algorithmic bias we describe, any remedy in a storm has looked attractive. However, we argue that a right to an explanation in the EU General Data Protection Regulation (GDPR) is unlikely to present a complete remedy to algorithmic harms, particularly in some of the core “algorithmic war stories” that have shaped recent attitudes in this domain. Firstly, the law is restrictive, unclear, or even paradoxical concerning when any explanation-related right can be triggered. Secondly, even navigating this, the legal conception of explanations as “meaningful information about the logic of processing” may not be provided by the kind of ML “explanations” computer scientists have developed, partially in response. ML explanations are restricted both by the type of explanation sought, the dimensionality of the domain and the type of user seeking an explanation. However, “subject-centric explanations (SCEs) focussing on particular regions of a model around a query show promise for interactive exploration, as do explanation systems based on learning a model from outside rather than taking it apart (pedagogical versus decompositional explanations) in dodging developers\u27 worries of intellectual property or trade secrets disclosure. Based on our analysis, we fear that the search for a “right to an explanation” in the GDPR may be at best distracting, and at worst nurture a new kind of “transparency fallacy.” But all is not lost. We argue that other parts of the GDPR related (i) to the right to erasure ( right to be forgotten ) and the right to data portability; and (ii) to privacy by design, Data Protection Impact Assessments and certification and privacy seals, may have the seeds we can use to make algorithms more responsible, explicable, and human-centered
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