Carlos Capelo
Biographic Data
| ID | 4639039 |
|---|---|
| NAME | Carlos Capelo |
| GIVEN NAMES | Carlos |
| FAMILY NAME | Capelo |
| SIGNATURE | CAPELO C |
| AFFILIATIONS | Universidade Europeia Lisbon Portugal |
| ORCID | 0000-0001-6732-063X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Expanding model transparency and learning potential through structural and behavioural debriefings
Simulation‐based learning environments have been recommended by researchers as educational tools to support learning in complex domains. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems, with several assertions are being made regarding the impact of employing transparent model simulations on learning and performance outcomes. This research, therefore, examines the mode…
Optimising the Learning Potential of Simulations Through Structural Transparency and Exploratory Guidance
Background. Simulation-based learning environments are used extensively to support learning in complex business systems. Nevertheless, studies have identified problems and limitations due to cognitive processing difficulties. In particular, previous research has addressed some aspects of model transparency and instructional strategy and produced inconclusive results. Aim. This study investigates the learning effects of using transparent simulatio…
No prominent works on this page.
Optimising the Learning Potential of Simulations Through Structural Transparency and Exploratory Guidance
Background. Simulation-based learning environments are used extensively to support learning in complex business systems. Nevertheless, studies have identified problems and limitations due to cognitive processing difficulties. In particular, previous research has addressed some aspects of model transparency and instructional strategy and produced inconclusive results. Aim. This study investigates the learning effects of using transparent simulatio…
Expanding model transparency and learning potential through structural and behavioural debriefings
Simulation‐based learning environments have been recommended by researchers as educational tools to support learning in complex domains. However, studies have evidenced that subjects may nevertheless have great difficulty understanding and managing dynamic systems, with several assertions are being made regarding the impact of employing transparent model simulations on learning and performance outcomes. This research, therefore, examines the mode…
Complex Systems and Decision Making (2 works) · Computer Science (2 works) · Psychology (2 works) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Cognition (1 work) · Cognitive psychology (1 work) · Cognitive Science and Mapping (1 work) · Computer security (1 work) · Data science (1 work)