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Full-Text Articles in Psychology
Flight Simulator Fidelity, Training Transfer, And The Role Of Instructors In Optimizing Learning, Paul L. Myers Iii, Arnold W. Starr, Kadie Mullins
Flight Simulator Fidelity, Training Transfer, And The Role Of Instructors In Optimizing Learning, Paul L. Myers Iii, Arnold W. Starr, Kadie Mullins
Kadie Hayward Mullins
Simulators have been integrated into flight training at various levels for decades, increasing in utility as they increased in fidelity. Today, practically all levels of qualification in passenger-carrying commercial airliners can be obtained entirely in the simulator, with the first experience in the aircraft on a revenue-producing flight. Flight training in the U.S. is a tightly controlled, highly regulated process overseen by the Federal Aviation Administration (FAA). It is also a very successful one; commercial aviation maintains a remarkable safety record. To that end, pilot training has been studied and analyzed extensively over the years, and as to the focus …
Is Your Learning Style Paranoid?, Kirby Farrell
Is Your Learning Style Paranoid?, Kirby Farrell
kirby farrell
We learn—and grow—by engaging with anomalies: new things that don't fit our familiar categories. It's a gut process, not just a philosophical choice. Anxiety can make us paranoid about what's new and strange. Knowing that can spur fascination and help us to adapt.
The Importance Of Gestures In Learning, Gale Stam
The Importance Of Gestures In Learning, Gale Stam
Gale Stam, Ph.D.
No abstract provided.
Modelling Biased Judgement With Weighted Updating, Jesse A. Zinn
Modelling Biased Judgement With Weighted Updating, Jesse A. Zinn
Jesse A Zinn
The weighted updating model is a generalization of Bayesian updating that allows for biased beliefs by weighting the functions that constitute Bayes’ rule with real exponents. This paper shows that weighting a distribution affects the information entropy of the resulting distribution, suggesting that weighted updating can model biases in which individuals mistake the information content of data. The paper augments the base model in two ways, allowing it to account for additional biases. The first expansion involves discrimination between data. The second allows the weights to vary over time. The paper also presents a set of sufficient conditions for the …