Computational workflows for assessing student learning

Jun Ma, Erin Shaw, Jihie Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The use of technology for instruction, and the enormous amount of information available for consumption, places a considerable burden on instructors who must learn to integrate appropriate student practices and learning assessment. The Pedagogical Workflows project is developing a novel workflow environment that supports efficient assessment of student learning through interactive generation and execution of various assessment workflows. We focus especially on how student discussion use can be combined with more traditional assessment data. In this paper, we present our initial assessment workflows, the initial feedback from instructors, and the user portal that is being developed for running the workflows. Inherent in the development of the workflows is an examination of what teachers think is important to learn about their students, a question that is central to every intelligent tutoring system. We anticipate that assessment workflows will become an important tool for instructors, researchers, and ITS development.

Original languageEnglish
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
Pages188-197
Number of pages10
EditionPART 2
DOIs
StatePublished - 2010
Event10th International Conference on Intelligent Tutoring Systems, ITS 2010 - Pittsburgh, PA, United States
Duration: 14 Jun 201018 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Intelligent Tutoring Systems, ITS 2010
Country/TerritoryUnited States
CityPittsburgh, PA
Period14/06/1018/06/10

Keywords

  • Discourse analysis
  • student learning assessment
  • workflow technology

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