TaPTA Workshop at EC-TEL 2012

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18 Szeptember 2012
Németország
Saarbrücken, Germany
Ravi Vatrapu, Copenhagen Business School, Denmark; Wolfgang Halb, JOANNEUM RESEARCH, Austria; Susan Bull, University of Birmingham, UK
TaPTA Workshop at EC-TEL 2012

High-performance classrooms are characterized by 1:1 computing, high cognitive density, and big data. However, in comparison with most other professionals from whom clients expect rapid decisions in a dynamically changing environment, presently teachers often do not get the information they need for decision making in a timely fashion and in a meaningful and actionable format. Building on the NEXT-TELL project, the TaPTA workshop explores methods and tools to support teachers’ professional vision in 21st century classrooms. This workshop’s ambitious objective is to jumpstart a new learning sciences research stream on teaching analytics by bringing together learning scientists in different sub-fields such as CSCL, ITS, EDM, researchers in Visual Analytics, and data scientists working with “Big Data” in public institutions and private enterprises. In addition to researchers, we are also targeting teachers at primary, secondary, and tertiary levels of education to be involved as co-designers and discussants.

 

Topics

TaPTA 2012 workshop topics include but are not limited to the following:

  • Historical and contemporary practices in notations, representations, and  visualizations of classroom activities and student learning
  • Theories and methods for designing and evaluating new notations, representations, and visualizations for teaching analytics
  • Cognitive dimensions of notations for learning and teaching purposes
  • Visual analytics for activity tracking
  • Visual analytics for knowledge tracking
  • Visual analytics for formative vs. summative evaluations
  • Visual analytics for technology enhanced formative assessment
  • Engendering  teachers’ professional vision in high-performance classrooms
  • Synthesis of visual analytics oriented theory and practice in the Learning Sciences, e-Learning, Computer Supported Collaborative Learning (CSCL), Intelligent Tutoring Systems (ITS), Educational Data Mining, and Learning Analytics.
  • Technical architectures and technological infrastructure for teaching analytics
  • Linked Data for teaching analytics
  • Instrumentation of classrooms and ecosystems for learning and teaching
  • Critical perspectives on teaching analytics

 

Important Dates

  • Submission deadline: 15 July 2012
  • Notification of acceptance: 06 August 2012
  • Camera-ready version of accepted papers: 26 August 2012
  • Workshop date: Tuesday, 18 September, 2012

 

FInd out more about submission guidelines and formats here.

Saarland University
University Campus, Building B4.1, 66123 Saarbrücken

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