7,790 research outputs found

    Personalizing the design of computerā€based instruction to enhance learning

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    This paper reports two studies designed to investigate the effect on learning outcomes of matching individualsā€™ preferred cognitive styles to computerā€based instructional (CBI) material. Study 1 considered the styles individually as Verbalizer, Imager, Wholist and Analytic. Study 2 considered the biā€dimensional nature of cognitive styles in order to assess the full ramification of cognitive styles on learning: Analytic/Imager, Analytic/ Verbalizer, Wholist/Imager and the Wholist/Verbalizer. The mix of images and text, the nature of the text material, use of advance organizers and proximity of information to facilitate meaningful connections between various pieces of information were some of the considerations in the design of the CBI material. In a quasiā€experimental format, studentsā€™ cognitive styles were analysed by Cognitive Style Analysis (CSA) software. On the basis of the CSA result, the system defaulted students to either matched or mismatched CBI material by alternating between the two formats. The instructional material had a learning and a test phase. Learning outcome was tested on recall, labelling, explanation and problemā€solving tasks. Comparison of the matched and mismatched instruction did not indicate significant difference between the groups, but the consistently better performance by the matched group suggests potential for further investigations where the limitations cited in this paper are eliminated. The result did indicate a significant difference between the four cognitive styles with the Wholist/Verbalizer group performing better then all other cognitive styles. Analysing the difference between cognitive styles on individual test tasks indicated significant difference on recall, labelling and explanation, suggesting that certain test tasks may suit certain cognitive styles

    A literature synthesis of personalised technology-enhanced learning: what works and why

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    Personalised learning, having seen both surges and declines in popularity over the past few decades, is once again enjoying a resurgence. Examples include digital resources tailored to a particular learnerā€™s needs, or individual feedback on a studentā€™s assessed work. In addition, personalised technology-enhanced learning (TEL) now seems to be attracting interest from philanthropists and venture capitalists indicating a new level of enthusiasm for the area and a potential growth industry. However, these industries may be driven by profit rather than pedagogy, and hence it is vital these new developments are informed by relevant, evidence-based research. For many people, personalised learning is an ambiguous and even loaded term that promises much but does not always deliver. This paper provides an in-depth and critical review and synthesis of how personalisation has been represented in the literature since 2000, with a particular focus on TEL. We examine the reasons why personalised learning can be beneficial and examine how TEL can contribute to this. We also unpack how personalisation can contribute to more effective learning. Lastly, we examine the limitations of personalised learning and discuss the potential impacts on wider stakeholders

    Blending Learning: The Evolution of Online and Face-to-Face Education from 20082015

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    In 2008, iNACOL produced a series of papers documenting promising practices identified throughout the field of Kā€“12 online learning. Since then, we have witnessed a tremendous acceleration of transformative policy and practice driving personalized learning in the Kā€“12 education space. State, district, school, and classroom leaders recognize that the ultimate potential for blended and online learning lies in the opportunity to transform the education system and enable higher levels of learning through competency-based approaches.iNACOL's core work adds significant value to the field by providing a powerful practitioner voice in policy advocacy, communications, and in the creation of resources and best practices to enable transformational change in Kā€“12 education.We worked with leaders throughout the field to update these resources for a new generation of pioneers working towards the creation of student-centered learning environments.This refreshed series, Promising Practices in Blended and Online Learning, explores some of the approaches developed by practitioners and policymakers in response to key issues in Kā€“12 education, including:Blended Learning: The Evolution of Online and Face-to-Face Education from 2008-2015;Using Blended and Online Learning for Credit Recovery and At-Risk Students;Oversight and Management of Blended and Online Programs: Ensuring Quality and Accountability; andFunding and Legislation for Blended and Online Education.Personalized learning environments provide the very best educational opportunities and personalized pathways for all students, with highly qualified teachers delivering world-class instruction using innovative digital resources and content. Through this series of white papers, we are pleased to share the promising practices in Kā€“12 blended, online, and competency education transforming teaching and learning today

    Integrating Technology With Student-Centered Learning

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    Reviews research on technology's role in personalizing learning, its integration into curriculum-based and school- or district-wide initiatives, and the potential of emerging digital technologies to expand student-centered learning. Outlines implications

    Student Mathematics Performance in Year One Implementation of Teach to One: Math

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    This report examines mathematics test data from the first year of implementation (2012-13) of the Teach to One: Math (TtO) approach in seven urban middle schools in Chicago, New York City, and Washington D.C. Researchers addressed the question: How did Tto students' growth on the Measures of Academic Progress (MAP) mathematics assessment compare with national norms?To answer this question, the researchers analyzed student performance on the MAP test, an established instrument developed by the Northwest Evaluation Association (NWEA). The researchers then compared these results to the national norms published by NWEA (2011). Please note that these analyses cannot attribute Tto student results to the TtO model: the data available did not permit the use of an experimental design, which would be necessary to establish a link between the implementation of the program and the student test results. While the TtO results are promising, its performance beyond one year should be analyzed using an experimental design, in order to remove unmeasured differences between TtO students and schools with an appropriate comparison sample
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