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Virginia Tech

Leveraging Uncertainty: A Framework for Argumentation in Socioscientific Ill-Structured Problem Solving

Abstract

dc:description.abstract

As the nature of work significantly transforms over the next several decades, engineering students today will play a major role in building and developing society. Both industry and academia position critical thinking skills and problem-solving abilities as central to the growing needs of developed and developing societies. Consequently, engineers will be paid in the future to solve complex problems. ABET (2021) standards indicate these ill-structured problems or complex engineering problems involve multiple factors outside of standard building codes or equations. Complex or socioscientific problems have no obvious solution pathway, multiple perspectives, and require a well-reasoned and argued solution. Thus, ill-structured problems emerge from situated and societal contexts in which various aspects of the context or problem space are undefined, unspecified, uncertain, or as Chen et al. (2019) describe, 'fuzzy'. Novice learners struggle with the inherent uncertainty embedded at all stages of the problem-solving process. Students need opportunities to grapple with the challenges of real-world problems, including the inherent uncertainties associated with them. In problem-solving situations learners often reject or avoid uncertainty and associated feelings of discomfort because traditional education provides few opportunities to confront these uncertainties in problem solving. Evidence suggests uncertainty becomes a productive or constructive experience when learners are forced to express, contend, grapple with, argue, and negotiate how and what they know with others. Thus, generation of uncertainty, or productive uncertainty, in problem-solving situations facilitates management of ambiguity and complexity through argumentation to, in turn, foster well-informed, confidently argued and supported solutions. The purpose of this study was to develop a framework to guide designers/instructors to facilitate learning using argumentation as a pedagogical tool to manage uncertainty.

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Curriculum and Instruction
Department dc:contributor.department
Education, Vocational-Technical
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Clark, Rebecca Michelle
Chair dc:contributor.committeechair
  • Lockee, Barbara B.
Committee members dc:contributor.committeemember
  • Cennamo, Katherine S.
  • Johnson, Alicia Leinaala
  • Potter, Kenneth R.

Subjects

dc:subject × 5

Rights

dc:rights
Statement dc:rights
  • Creative Commons Attribution-NoDerivatives 4.0 International
Language dc:language.iso
en

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:36746
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/114856

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Clark, Rebecca Michelle. Leveraging Uncertainty: A Framework for Argumentation in Socioscientific Ill-Structured Problem Solving. doctoral thesis, Virginia Tech, 2023. http://hdl.handle.net/10919/114856