A student task model method for assessing and improving a model-eliciting activity

Jeremy Wang, Tamara Moore, Sarah Plumb, Gillian H Roehrig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Model-Eliciting Activities (MEAs) are a class of interdisciplinary problems designed to simulate authentic, client-driven situations in classroom settings. MEAs allow teachers and researchers to observe student development of conceptual models by requiring students to make their models explicit through design-test-revise cycles. Here, we present a method for assessing the design of MEAs and the learning that occurs by applying a task model to student work products. We examine the relationship between the number of deep strategies employed and the usefulness of the mathematical model produced in solving an MEA in an undergraduate engineering course. A task model was created to represent the areas for strategy deployment, as well as to specify shallow and deep strategies utilized by student teams in these areas. Student work products were coded according to this model and data was analyzed using non-parametric statistical analyses. By explicitly modeling the problem-solving strategies, optimal pathways for task success were highlighted, providing information for instructors on valuable feedback for students engaging in the activity, as well as validation of holistic assessments of student work. This analysis also has implications for determining the specific learning that occurs during a complex problem-solving activity.

Original languageEnglish (US)
Title of host publication39th Annual Frontiers in Education Conference
Subtitle of host publicationImagining and Engineering Future CSET Education, FIE 2009
DOIs
StatePublished - Dec 1 2009
Event39th Annual Frontiers in Education Conference: Imagining and Engineering Future CSET Education, FIE 2009 - San Antonio, TX, United States
Duration: Oct 18 2009Oct 21 2009

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565

Other

Other39th Annual Frontiers in Education Conference: Imagining and Engineering Future CSET Education, FIE 2009
CountryUnited States
CitySan Antonio, TX
Period10/18/0910/21/09

Keywords

  • Assessment
  • Engineering education
  • Modeleliciting activities
  • Task analysis

Fingerprint Dive into the research topics of 'A student task model method for assessing and improving a model-eliciting activity'. Together they form a unique fingerprint.

Cite this