Open research collection · Volume 01 / 2026

Learning to Fly
in World Models.

See the cues. Understand the consequences. Choose the next action. One hundred readings connect flight-school practice to perception, simulation and judgment.

Explore 100 readings Download catalog
An eclipse-like dark circle surrounded by light above a palm-lined waterfront.
Looking up. From the editor’s visual notebook.
24

Renderer

Perception, scanning and sensory cues.

29

Simulator

Dynamics, scenarios and transfer.

47

Actors

Learners, instructors, crews and AI.

From world models to capable judgment.

The collection adapts Dr. Freedom Cheteni’s Render. Simulate. Plan. framework. Actors names the people and synthetic participants who perceive, plan and act.

61 readings directly concern flight training; 21 address aviation human factors; 15 examine simulation engineering; two concern ATC training; one addresses aeronautical engineering education. Each guide identifies its scope and evidence limits.

Ten chapters. One learning journey.
  1. R1 Cockpit perception and scanning
  2. R2 XR interfaces and displays
  3. R3 Sensory cues and comfort
  4. S1 Training transfer and adoption
  5. S2 Dynamics and simulator fidelity
  6. S3 Training infrastructure and scenarios
  7. A1 Curriculum, instructors and assessment
  8. A2 Workload and adaptive learning
  9. A3 Safety, uncertainty and startle
  10. A4 Synthetic actors and human–AI teams
Download the annotated guide ↗

The research collection

Find your next insight.

47 of 100 research readings · Showing 1–12

054

Actors
2023

Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double Windows

Jing Lu; Jingli Deng; et al. · IEEE Access

Addresses identifying training subjects from flight time-series data. Useful for organizing flight records before assessment and targeted debriefing.

CC BY 4.0Reading guide ↗: Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double WindowsAsk this paper: Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double WindowsOriginal article ↗: Flight Training Subject Identification Method Based on Multivariate Subsequence Search With Double Windows

056

Actors
2024

Wind Shear Operation-Based Competency Assessment Model for Civil Aviation Pilots

Fan Li; Xuezhi Xu; et al. · Aerospace

Develops observable behavior indicators for wind-shear scenarios. Useful for showing how a training objective becomes a structured assessment rubric.

CC BY 4.0Reading guide ↗: Wind Shear Operation-Based Competency Assessment Model for Civil Aviation PilotsAsk this paper: Wind Shear Operation-Based Competency Assessment Model for Civil Aviation PilotsOriginal article ↗: Wind Shear Operation-Based Competency Assessment Model for Civil Aviation Pilots

057

Actors
2023

Competency-based assessment of pilots’ manual flight performance during instrument flight training

Hong Sun; Xin Zhou; et al. · Cognition, Technology & Work

Links instrument-flight behaviors to quantitative assessment indicators. Useful for documenting what a trainee should demonstrate and how performance is judged.

CC BY 4.0Reading guide ↗: Competency-based assessment of pilots’ manual flight performance during instrument flight trainingAsk this paper: Competency-based assessment of pilots’ manual flight performance during instrument flight trainingOriginal article ↗: Competency-based assessment of pilots’ manual flight performance during instrument flight training

058

Actors
2022

Implementation of the digital training concept in the basic flight training in the Serbian Military Academy

Slaviša Vlačić; Aleksandar Knežević; et al. · Vojnotehnicki glasnik

Describes digital training in basic military flight education. Useful for curriculum transitions when aircraft and cockpit systems become more digitized.

CC BY 4.0Reading guide ↗: Implementation of the digital training concept in the basic flight training in the Serbian Military AcademyAsk this paper: Implementation of the digital training concept in the basic flight training in the Serbian Military AcademyOriginal article ↗: Implementation of the digital training concept in the basic flight training in the Serbian Military Academy

059

Actors
2020

The Effect of Studying Flight Training Materials utilizing Encoding Techniques on Situational Awareness Capabilities of Students in PPL Training

Jeong Yoon Moon; Jang Ryong Lee · Journal of the Korean Society for Aviation and Aeronautics

Examines encoding techniques in PPL study materials and situation awareness. Supports connecting preflight knowledge preparation with simulator and cockpit tasks.

CC BY-NC 4.0Reading guide ↗: The Effect of Studying Flight Training Materials utilizing Encoding Techniques on Situational Awareness Capabilities of Students in PPL TrainingAsk this paper: The Effect of Studying Flight Training Materials utilizing Encoding Techniques on Situational Awareness Capabilities of Students in PPL TrainingOriginal article ↗: The Effect of Studying Flight Training Materials utilizing Encoding Techniques on Situational Awareness Capabilities of Students in PPL Training

060

Actors
2023

Assessment of the psychomotor fitness level of cadet pilots after a 6-month flight training period - pilot study

Zbigniew Wochyński; Justyna Skrzyńska-Rękawek; et al. · Frontiers in Psychology

Examines psychomotor and cognitive measures before and after a period of cadet flight practice. Useful for treating development as longitudinal rather than a single score.

CC BY 4.0Reading guide ↗: Assessment of the psychomotor fitness level of cadet pilots after a 6-month flight training period - pilot studyAsk this paper: Assessment of the psychomotor fitness level of cadet pilots after a 6-month flight training period - pilot studyOriginal article ↗: Assessment of the psychomotor fitness level of cadet pilots after a 6-month flight training period - pilot study

061

Actors
2024

Probabilistic Modeling of Variation in Pilot Performance During Flight Training

Kento Yamada; Harumi Ikeshita; et al. · IEEE Transactions on Reliability

Models variation in training performance. Useful for interpreting inconsistency across flights and avoiding overreliance on one successful trial.

CC BY-NC-ND 4.0Reading guide ↗: Probabilistic Modeling of Variation in Pilot Performance During Flight TrainingAsk this paper: Probabilistic Modeling of Variation in Pilot Performance During Flight TrainingOriginal article ↗: Probabilistic Modeling of Variation in Pilot Performance During Flight Training

062

Actors
2022

The effect of working memory training on situation awareness in a flight simulator

Yue Zhou; Di Wu; et al. · Cognition, Technology & Work

Tests working-memory training with situation-awareness measures in a flight simulator. Useful for distinguishing underlying cognitive skills from task-specific practice.

CC BY 4.0Reading guide ↗: The effect of working memory training on situation awareness in a flight simulatorAsk this paper: The effect of working memory training on situation awareness in a flight simulatorOriginal article ↗: The effect of working memory training on situation awareness in a flight simulator

063

Actors
2023

The interconnection between evaluated and self-assessed performance in full flight simulator training

Ari Tuhkala; Ville Heilala; et al. · Vocations and Learning

Compares instructor evaluations with pilots' reflections after simulator events. Supports debriefs that examine risk appraisal and overconfidence alongside observable competencies.

CC BY 4.0Reading guide ↗: The interconnection between evaluated and self-assessed performance in full flight simulator trainingAsk this paper: The interconnection between evaluated and self-assessed performance in full flight simulator trainingOriginal article ↗: The interconnection between evaluated and self-assessed performance in full flight simulator training

064

Actors
2023

Behavioral Indicator-Based Initial Flight Training Competency Assessment Model

Hong Sun; Fangquan Yang; et al. · Applied Sciences

Builds behavioral indicators and assessment matrices for initial flight training. Useful for making the academy's expectations observable and consistently assessable.

CC BY 4.0Reading guide ↗: Behavioral Indicator-Based Initial Flight Training Competency Assessment ModelAsk this paper: Behavioral Indicator-Based Initial Flight Training Competency Assessment ModelOriginal article ↗: Behavioral Indicator-Based Initial Flight Training Competency Assessment Model

065

Actors
2023

Identifying Behavior Indicators for Flight Instructor Competencies and Training Needs Analysis for General Aviation Flight Instructor

Keumseok Kang; Hyungjoon Park; et al. · Journal of the Korean Society for Aviation and Aeronautics

Examines instructor behavior indicators and training needs. A direct anchor for developing teaching, interaction and learning-environment competencies in flight instructors.

CC BY-NC 4.0Reading guide ↗: Identifying Behavior Indicators for Flight Instructor Competencies and Training Needs Analysis for General Aviation Flight InstructorAsk this paper: Identifying Behavior Indicators for Flight Instructor Competencies and Training Needs Analysis for General Aviation Flight InstructorOriginal article ↗: Identifying Behavior Indicators for Flight Instructor Competencies and Training Needs Analysis for General Aviation Flight Instructor
Sources, authorship and reuse License evidence and screening depth

These annotated research records link to the original publications. Source authors and venues retain their identity. Annotations were prepared with AI assistance under the journal’s editorial direction; they are not the source authors’ text or a formal systematic review. Some publications may share study samples. Screening depth is stated on every record.

80 sources carry CC BY, seven CC BY-NC and 13 CC BY-NC-ND. Matching license evidence was found on 70 article pages; 30 rely on publisher-deposited metadata and need an article/PDF rights check before full-text republication. Three TDM-only metadata records were supplemented by explicit article-license notices. Source articles are not reproduced in full here. Checked October 30, 2026.

100 source articles, with original authorship and individual reading guides.