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DTSTART:20251102T020000
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DESCRIPTION:The Challenge: Complex problem solving and critical thinking ar
 e required in today’s medical\, design\, and engineering professions. Know
 ledge in these domains must frequently be presented in the form of an argu
 ment\, particularly alternative application scenarios in context-specific 
 cases. However\, much of our teaching and assessment&nbsp\;is still focuse
 d on empirically definite facts\, and procedures that produce single\, app
 arently ‘correct’ answers.\nThe Project: The general problem addressed by 
 this project is how to teach and assess ‘complex epistemic performance’ su
 ch as critical thinking that weighs up alternatives\, and problem solving 
 that is context- and case-sensitive. Our solution uses the Scholar platfor
 m developed by U of I researchers to support multimodal knowledge represen
 tation and structured peer feedback\, focusing on critical disciplinary pr
 actices and metacognitive strategies. We are also exploring computational 
 possibilities\, both around structured peer and instructor data and comput
 ational approaches that mine unstructured or semi-structured data emerging
  through all stages of the learning process.\nThe Intervention: With the s
 upport of the Illinois Learning Science Design Initiative (ILSDI)\, these 
 possibilities are now being explored in the area of critical clinical thin
 king. Experiments are underway in first year medical curricula on campus: 
 the Vet Cases Scholar community is home to Clinical Correlations cases in 
 the College of Veterinary Medicine&nbsp\;and the Cardiovascular Physiology
  community houses case analyses on this subject in the College of Medicine
 .\nJoin the project team for a presentation on this project\, with a discu
 ssion of these educational challenges\, as well as the emerging computatio
 nal and learning-analytic approaches.\nProject Team:\nPI: Duncan C. Fergus
 on\, V.M.D.\, Ph.D.\, Dept. of Comparative\nBiosciences\, College of Veter
 inary Medicine\n&nbsp\;\nCIs: ChengXiang Zhai\, Ph.D.\, Dept. of Computer 
 Sciences\,\nCollege of Engineering\n&nbsp\;\nWilliam Cope\, Ph.D.\, Dept. 
 of Education Policy\, Organization\nand Leadership\, College of Education\
 n&nbsp\;\nWillem Els\, Ph.D.\, Molecular and Integrative Physiology\, Coll
 ege\nof Liberal Arts and Sciences\, and College of Medicine\n&nbsp\;\nChas
 e Geigle\, graduate student\, Dept. of Computer Sciences\,\nCollege of Eng
 ineeringCost:Free and open to the publicContact:Bill Copebillcope@illinois
 .eduSponsor:Bill Cope
DTEND:20151109T183000Z
DTSTAMP:20260911T233131Z
DTSTART:20151109T170000Z
LOCATION:IL\,USA\,Champaign
SEQUENCE:0
SUMMARY:Complex problem solving and critical thinking workshop: Online tool
 s and computational approaches
UID:RFCALITEM639247482914857561
X-ALT-DESC;FMTTYPE=text/html:<p><strong>The Challenge:</strong> Complex pro
 blem solving and critical thinking are required in today’s medical\, desig
 n\, and engineering professions. Knowledge in these domains must frequentl
 y be presented in the form of an argument\, particularly alternative appli
 cation scenarios in context-specific cases. However\, much of our teaching
  and assessment&nbsp\;is still focused on empirically definite facts\, and
  procedures that produce single\, apparently ‘correct’ answers.</p>\n<p><s
 trong>The Project:</strong> The general problem addressed by this project 
 is how to teach and assess ‘complex epistemic performance’ such as critica
 l thinking that weighs up alternatives\, and problem solving that is conte
 xt- and case-sensitive. Our solution uses the Scholar platform developed b
 y U of I researchers to support multimodal knowledge representation and st
 ructured peer feedback\, focusing on critical disciplinary practices and m
 etacognitive strategies. We are also exploring computational possibilities
 \, both around structured peer and instructor data and computational appro
 aches that mine unstructured or semi-structured data emerging through all 
 stages of the learning process.</p>\n<p><strong>The Intervention: </strong
 >With the support of the Illinois Learning Science Design Initiative (ILSD
 I)\, these possibilities are now being explored in the area of critical cl
 inical thinking. Experiments are underway in first year medical curricula 
 on campus: the Vet Cases Scholar community is home to Clinical Correlation
 s cases in the College of Veterinary Medicine&nbsp\;and the Cardiovascular
  Physiology community houses case analyses on this subject in the College 
 of Medicine.</p>\n<p>Join the project team for a presentation on this proj
 ect\, with a discussion of these educational challenges\, as well as the e
 merging computational and learning-analytic approaches.</p>\n<p><strong>Pr
 oject Team:</strong></p>\n<p>PI: Duncan C. Ferguson\, V.M.D.\, Ph.D.\, Dep
 t. of Comparative</p>\n<p>Biosciences\, College of Veterinary Medicine</p>
 \n<p>&nbsp\;</p>\n<p>CIs: ChengXiang Zhai\, Ph.D.\, Dept. of Computer Scie
 nces\,</p>\n<p>College of Engineering</p>\n<p>&nbsp\;</p>\n<p>William Cope
 \, Ph.D.\, Dept. of Education Policy\, Organization</p>\n<p>and Leadership
 \, College of Education</p>\n<p>&nbsp\;</p>\n<p>Willem Els\, Ph.D.\, Molec
 ular and Integrative Physiology\, College</p>\n<p>of Liberal Arts and Scie
 nces\, and College of Medicine</p>\n<p>&nbsp\;</p>\n<p>Chase Geigle\, grad
 uate student\, Dept. of Computer Sciences\,</p>\n<p>College of Engineering
 </p><table><tbody><tr><td><p>Cost:</p></td><td><p>Free and open to the pub
 lic</p></td></tr><tr><td><p>Contact:</p></td><td><p>Bill Cope</p><p><a hre
 f="mailto:billcope@illinois.edu">billcope@illinois.edu</a></p></td></tr><t
 r><td><p>Sponsor:</p></td><td><p>Bill Cope</p></td></tr></tbody></table>
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