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George Bradford

Seeking Evidence of Impact: Opportunities and Needs (EDUCAUSE Review) | EDUCAUSE - 0 views

  • Conversations with CIOs and other senior IT administrators reveal a keen interest in the results of evaluation in teaching and learning to guide fiscal, policy, and strategic decision-making. Yet those same conversations reveal that this need is not being met.
  • gain a wider and shared understanding of “evidence” and “impact” in teaching and learning
  • establish a community of practice
  • ...11 more annotations...
  • provide professional-development opportunities
  • explore successful institutional and political contexts
  • establish evidence-based practice
  • The most important reason is that in the absence of data, anecdote can become the primary basis for decision-making. Rarely does that work out very well.
  • autocatalytic evaluation process—one that builds its own synergy.
  • We live by three principles: uncollected data cannot be analyzed; the numbers are helped by a brief and coherent summary; and good graphs beat tables every time.
  • Reports and testimonies from faculty and students (57%) Measures of student and faculty satisfaction (50%) Measures of student mastery (learning outcomes) (41%) Changes in faculty teaching practice (35%) Measures of student and faculty engagement (32%)
  • The survey results also indicate a need for support in undertaking impact-evaluation projects.
  • Knowing where to begin to measure the impact of technology-based innovations in teaching and learning Knowing which measurement and evaluation techniques are most appropriate Knowing the most effective way to analyze evidence 
  • The challenge of persuasion is what ELI has been calling the last mile problem. There are two interrelated components to this issue: (1) influencing faculty members to improve instructional practices at the course level, and (2) providing evidence to help inform key strategic decisions at the institutional level.
  • Broadly summarized, our results reveal a disparity between the keen interest in research-based evaluation and the level of resources that are dedicated to it—prompting a grass-roots effort to support this work.
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    The SEI program is working with the teaching and learning community to gather evidence of the impact of instructional innovations and current practices and to help evaluate the results. The calls for more accountability in higher education, the shrinking budgets that often force larger class sizes, and the pressures to increase degree-completion rates are all raising the stakes for colleges and universities today, especially with respect to the instructional enterprise. As resources shrink, teaching and learning is becoming the key point of accountability. The evaluation of instructional practice would thus seem to be an obvious response to such pressures, with institutions implementing systematic programs of evaluation in teaching and learning, especially of instructional innovations.
George Bradford

IBM Solidifies Academic Analytics Investments - Datanami - 0 views

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    December 22, 2011 IBM Solidifies Academic Analytics Investments Datanami Staff As their own detailed report in conjunction with MIT Sloan made clear, IBM is keenly aware of the dramatic talent shortfall that could keep the future of big data analytics in check. Accordingly, the company is stepping in to boost analytics-driven programs at universities around the world. A report out of India this week indicated that Big Blue is firming up its investments at a number of academic institutions worldwide in the hopes of readying a new generation of analytics graduates. This effort springs from the company's Academic Initiative, which is the IBM-led effort to partner with universities to extend the capabilities of institutions to provide functional IT training and research opportunities.
George Bradford

Analytics: The Widening Divide - 0 views

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    Analytics: The Widening Divide By David Kiron, Rebecca Shockley, Nina Kruschwitz, Glenn Finch and Dr. Michael Haydock November 7, 2011 How companies are achieving competitive advantage through analytics IN THIS SECOND JOINT MIT Sloan Management Review and IBM Institute for Business Value study, we see a growing divide between those companies that, on one side, see the value of business analytics and are transforming themselves to take advantage of these newfound opportunities, and, on the other, that have yet to embrace them. Using insights gathered from more than 4,500 managers and executives, Analytics: The Widening Divide identifies three key competencies that enable organizations to build competitive advantage using analytics. Further, the study identifies two distinct paths that organizations travel while gaining analytic sophistication, and provides recommendations to accelerate organizations on their own paths to analytic transformation.
George Bradford

Learning Emergence | deep learning | complex systems | transformative leadership | know... - 0 views

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    "Rethinking Educaitonal Leadership: mapping the terrain of leadership in learning organisations in conditions of complexity, diversity and change Jul 26 2015 0 Rethinking Educational Leadership: an Open Space Symposium The purpose Symposium was to provide experienced practitioners and researchers with an opportunity to bring fresh thinking to the current challenges facing school leaders and to generate new ideas about leadership development. The Open Space Technology provided a means of capturing the collective intelligence generated by the group in response to the core question. This post reports on the outcomes of this Open Space Symposium which was held in 2013. "
George Bradford

NSSE Home - 0 views

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    National Survey of Student Engagement What is student engagement? Student engagement represents two critical features of collegiate quality. The first is the amount of time and effort students put into their studies and other educationally purposeful activities. The second is how the institution deploys its resources and organizes the curriculum and other learning opportunities to get students to participate in activities that decades of research studies show are linked to student learning. What does NSSE do? Through its student survey, The College Student Report, NSSE annually collects information at hundreds of four-year colleges and universities about student participation in programs and activities that institutions provide for their learning and personal development. The results provide an estimate of how undergraduates spend their time and what they gain from attending college. NSSE provides participating institutions a variety of reports that compare their students' responses with those of students at self-selected groups of comparison institutions. Comparisons are available for individual survey questions and the five NSSE Benchmarks of Effective Educational Practice. Each November, NSSE also publishes its Annual Results, which reports topical research and trends in student engagement results. NSSE researchers also present and publish research findings throughout the year.
George Bradford

[!!!!] Social Learning Analytics - Technical Report (pdf) - 0 views

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    Technical Report KMI-11-01 June 2011 Simon Buckingham Shum and Rebecca Ferguson Abstract: We propose that the design and implementation of effective Social Learning Analytics presents significant challenges and opportunities for both research and enterprise, in three important respects. The first is the challenge of implementing analytics that have pedagogical and ethical integrity, in a context where power and control over data is now of primary importance. The second challenge is that the educational landscape is extraordinarily turbulent at present, in no small part due to technological drivers. Online social learning is emerging as a significant phenomenon for a variety of reasons, which we review, in order to motivate the concept of social learning, and ways of conceiving social learning environments as distinct from other social platforms. This sets the context for the third challenge, namely, to understand different types of Social Learning Analytic, each of which has specific technical and pedagogical challenges. We propose an initial taxonomy of five types. We conclude by considering potential futures for Social Learning Analytics, if the drivers and trends reviewed continue, and the prospect of solutions to some of the concerns that institution-centric learning analytics may provoke. 
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