Executive Guide
Research Summary: Toward a framework of uncertainty in ill-structured problem solving
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 28 August 2026
- Last updated
- 22 September 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A systematic review and qualitative synthesis of 74 peer-reviewed articles has led to the development of a framework for understanding uncertainty within ill-structured problem-solving. This framework conceptualizes uncertainty as a subjective metacognitive and psychological experience, defining seven intersecting sources that arise from incomplete, conflicting, or changing information during problem interpretation, judgment, and action regulation.
Why it matters
This framework offers a structured understanding of uncertainty, a common challenge in complex decision-making environments. By identifying specific sources of uncertainty, it provides a basis for developing more robust strategies and tools to navigate ambiguous situations and improve problem-solving effectiveness in strategic planning and operational execution.
Key insights
- A framework has been advanced for understanding uncertainty in ill-structured problem-solving contexts.
- The framework is based on a systematic review and qualitative synthesis of 74 peer-reviewed articles.
- Uncertainty is defined as a subjective metacognitive and psychological experience.
- This experience arises when individuals interpret problems, make judgments, and regulate actions with incomplete, conflicting, or changing information.
- Seven intersecting sources of uncertainty have been delineated: problem context, outcomes, sociocultural influences, epistemological factors, environmental conditions, dynamicity, and complexity.
Source
Educational Technology Research and Development — https://link.springer.com/article/10.1007/s11423-026-10680-5
Related intelligence and resources
Previous
What makes flipped learning effective? A meta-analysis of teaching and learning factors
Next
Comparing the effectiveness of mind mapping and guided worksheets as scaffolding strategies in VR music education
Transformative play: integrating outdoor adventure education and the NPI-cycle to facilitate transformative experience
Executive Guide
Cybersecurity Threat Delays Start of Classes at UT San Antonio
Executive Guide
Towards the determination of competencies of the commercial engineer in Chile
Executive Guide
From Atari to EVE Online: Building on 15 Years of AI Research in Games
Executive Guide
Bankrupt Saint Augustine’s Will Not Offer Fall Classes
Executive Guide
Cornell Hopes to Turn Cheating Into Teachable Moment
Executive Guide
Citation
Cite the original work (APA 7)
The original source is authoritative for this citation. Cite the source publication directly — this attribution is pending verification. Open the original source.
Verification
This is an authenticated AZIZ OS resource record.
- Verification ID
- ASA-EXG-2026-00641
- Version
- v1.0 · r0
- Issued
- 28 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Toward a framework of uncertainty in ill-structured problem solving
- Original authors
- Attribution requires verification
- Original source
- Educational Technology Research and Development
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.