BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:-//OER19//EN
BEGIN:VEVENT
UID:611b78b4-f21b-4185-9339-98b1d8a38542
DTSTART:20190410T162000Z
DTEND:20190410T172000Z
DTSTAMP:20190321T174017Z
SUMMARY;LANGUAGE=en-gb:Pedagogy of the Data Oppressed - developing a pedagogy for working with Students to Solve Problems with Data [O-158]
DESCRIPTION:Room: G006\nTrack: Critical literacies\nSession Description\nHow do we teach and learn with our students about data literacy in our learning environments and in our lives? How do we teach and learn with each other about the ethics and implications of a data-informed teaching practice? We now live in systems where our data is being used in ways over which we have seemingly little control and often little knowledge or insight. The proliferation of data and information makes analysis and interpretation ever more complex. (Ridsdale et al.\, 2015)\n\nIn this workshop\, we will explore some hands-on approaches to building an open pedagogy of data literacy\; we will share and develop ways in which teachers and students can work together\, and develop a praxis approach to use data to ‘read the world’ around them (Freire\, 1970).\n\n\n\nSession content\nWorkshop Running Order:\n\nIntroduction & Workshop Setup - 30 mins\n\nData & Learning Scenarios - 10 mins\n\nScene Setting and Small Group formation - 5 mins\n\nParallel Small Group discussions - 15 mins\nCritical Thinking with Data (Allison and Pan\, 2011)\nData Culture & Data Ethics (Prinsloo and Slade\, 2016)\nIssues with Helping Students to Gather & Interpret Data\nInventory of Skills & Experiences in the Room\n\n\n\n\nExperiential Student Problem Solving with Learning Data Walk-through - 30 mins\n\nProblem Solving with Data - a Design Thinking approach - 5 mins\nEmpathise - understanding the problem from a human centred starting point\nDefine\nIdeate\nPrototype\nTest & Validate \nImplement \nand iterate… \n\nData Preparation & Validation - 10 mins\nEthics & Privacy Checklist (Drachsler and Greller\, 2016)\nData Discovery and Collection\nData Cleanup & Conversion\nEvaluating and Ensuring Quality of Data and Sources\n\nData Analysis & Visualisation - 15 mins\nData Analysis \nRegression \nBayesian Network \nData Analysis & Model Validation\nData Visualization\n\n\n\n\nReviewing & Improving our Draft Pedagogy - 30 mins\nFrom this experiential walk-through of our proposed pedagogy for working with students to solve problems with data\, we hope participants will be well positioned to critique and improve the approach. The final phase of the workshop will give participants an opportunity to share experiences\, question underlying principles and values\, and add their own experiences to the mix. \n\nParallel Small Group discussions - 15 mins\nReflection from a Student’s point-of-view\nReflection from a Teacher’s point-of-view\n\nPlenary Discussion of Proposed Changes to this Data Literacy Pedagogy - 15 mins\n\n\n\n\nReferences\nAllison\, J.\, Pan\, W.\, 2011. Implementing and Evaluating the Integration of Critical Thinking into Problem Based Learning in Environmental Building. J. Educ. Built Environ. 6\, 93–115. https://doi.org/10.11120/jebe.2011.06020093\nDrachsler\, H.\, Greller\, W.\, 2016. Privacy and analytics: it’s a DELICATE issue a checklist for trusted learning analytics. ACM Press\, pp. 89–98. https://doi.org/10.1145/2883851.2883893\nPearl\, J.\, 1985. Bayesian networks: A model of self-activated memory for evidential reasoning. University of California (Los Angeles). Computer Science Department.\nPrinsloo\, P.\, Slade\, S.\, 2016. Student vulnerability\, agency\, and learning analytics: An exploration. J. Learn. Anal. 159–182. https://doi.org/10.18608/jla.2016.31.10\nRidsdale\, C.\, Rothwell\, J.\, Smit\, M.\, Ali-Hassan\, H.\, Bliemel\, M.\, Irvine\, D.\, Kelley\, D.\, Matwin\, S.\, Wuetherick\, B.\, 2015. Strategies and best practices for data literacy education: Knowledge synthesis report.\n\nhttps://oer19.oerconf.org/sessions/pedagogy-of-the-data-oppressed-developing-a-pedagogy-for-working-with-students-to-solve-problems-with-data-o-158/
LOCATION:G006
URL:https://oer19.oerconf.org/sessions/pedagogy-of-the-data-oppressed-developing-a-pedagogy-for-working-with-students-to-solve-problems-with-data-o-158/
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