Leveraging Metacognitive Data Visualization in Business Problem-Solving: An Empirical Study

Scaffolding—a pedagogical framework where experts provide incremental support to help learners master complex tasks—has been widely examined in educational contexts, yet its metacognitive dimensions in professional problem-solving remain underexplored. Despite growing interest in metacognitive scaffolds (i.e., strategies guiding how to think), two critical questions persist: (1) What is the relationship between metacognitive awareness and self-evaluated problem-solving performance? (2) How do metacognitive scaffolding mechanisms function in data-intensive business scenarios? This study adopts a multimodal analytics perspective combining quantitative modeling and big data visualization techniques. We collected behavioral and self-report data from 57 third-year business students engaged in simulated business tasks. SPSS 22.0 facilitated hierarchical quantitative analyses, while Wordclouds processed the big textual data to identify scaffolding patterns. Key findings include: (1) Metacognitive regulation and metacognitive knowledge are positively related to business problem-solving performance even though the relation in between is statistically insignificant; (2) Metacognitive knowledge such as procedural knowledge and information management strategy could significantly affect an individual's problem-solving performance. Metacognitive scaffolding plays a vital role in assisting students to solve complex business problems more effectively. Crucially, the visualization outputs reveal that effective metacognitive scaffolding often functions as cognitive bridges – when domain experts provide structured guidance, learners demonstrate enhanced capacity to internalize complex business protocols that would otherwise exceed their ZPD. Theoretical implications challenge the assumption of metacognitive awareness as a unitary construct, demonstrating the primacy of domain-specific procedural knowledge in business contexts. Practical guidelines propose integrating visualization dashboards with metacognitive prompts in management training systems. Limitations regarding sample representativeness (single-institution undergraduates) and measurement granularity (self-reported performance scales) suggest directions for replication studies with industry professionals using neurocognitive metrics.

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Published
2025-04-24
DOI
https://doi.org/10.1109/icccbda64898.2025.11030433
Primary Topic
Big Data and Business Intelligence
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article
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article

Leveraging Metacognitive Data Visualization in Business Problem-Solving: An Empirical Study

Xueyan Yin
Big Data and Business Intelligence
article

Leveraging Metacognitive Data Visualization in Business Problem-Solving: An Empirical Study

Xueyan Yin
article en

Abstract

Scaffolding—a pedagogical framework where experts provide incremental support to help learners master complex tasks—has been widely examined in educational contexts, yet its metacognitive dimensions in professional problem-solving remain underexplored. Despite growing interest in metacognitive scaffolds (i.e., strategies guiding how to think), two critical questions persist: (1) What is the relationship between metacognitive awareness and self-evaluated problem-solving performance? (2) How do metacognitive scaffolding mechanisms function in data-intensive business scenarios? This study adopts a multimodal analytics perspective combining quantitative modeling and big data visualization techniques. We collected behavioral and self-report data from 57 third-year business students engaged in simulated business tasks. SPSS 22.0 facilitated hierarchical quantitative analyses, while Wordclouds processed the big textual data to identify scaffolding patterns. Key findings include: (1) Metacognitive regulation and metacognitive knowledge are positively related to business problem-solving performance even though the relation in between is statistically insignificant; (2) Metacognitive knowledge such as procedural knowledge and information management strategy could significantly affect an individual's problem-solving performance. Metacognitive scaffolding plays a vital role in assisting students to solve complex business problems more effectively. Crucially, the visualization outputs reveal that effective metacognitive scaffolding often functions as cognitive bridges – when domain experts provide structured guidance, learners demonstrate enhanced capacity to internalize complex business protocols that would otherwise exceed their ZPD. Theoretical implications challenge the assumption of metacognitive awareness as a unitary construct, demonstrating the primacy of domain-specific procedural knowledge in business contexts. Practical guidelines propose integrating visualization dashboards with metacognitive prompts in management training systems. Limitations regarding sample representativeness (single-institution undergraduates) and measurement granularity (self-reported performance scales) suggest directions for replication studies with industry professionals using neurocognitive metrics.

Guangdong University of Foreign Studies (CN)
Openalex Percentile: Top 76%
Big Data and Business Intelligence
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