Learning Curve, The

Ritter, Frank E.; Schooler, Lael J.

doi:10.1016/b0-08-043076-7/01480-7

Cited by 149 publications

(109 citation statements)

References 12 publications

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“…Before explicating each theoretical proposition in detail below, we overview the theory, which ultimately posits that: (a) greater alignment between a player's mental models and a game's mechanics better affords mental model transfer, and (b) mental model alignment and transfer influence a range of related outcomes, such as immersion (see Biocca, 1997), flow (see Sherry, 2004), ingame performance (see Ritter & Schooler, 2001), learning (see Martinez-Garza & Clark, 2017), and/or game transfer phenomena.…”

Section: Overview Of Model Matchingmentioning

confidence: 99%

“…Further indirect evidence for iterative refinement of mental models manifests as learning curves of game performance (Ritter & Schooler, 2001). Over time, as players repeatedly engage with games in various ways-including play, solitary and group practice, instruction, and the use of other resources-their skill and game performance gradually improve (Charness et al, 2005;Stafford & Dewar, 2014).…”

Section: Proposition 3: Players Refine Mental Models Of Game Models Tmentioning

confidence: 99%

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Model Matching Theory: A Framework for Examining the Alignment between Game Mechanics and Mental Models

McGloin

Wasserman

Boyan

2018

MaC

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The primary aim of this article is to provide a comprehensive review and elaboration of model matching and its theoretical propositions. Model matching explains and predicts individuals' outcomes related to gameplay by focusing on the interrelationships among games' systems of mechanics, relevant situations external to the game, and players' mental models. Formalizing model matching theory in this way provides researchers a unified explanation for game-based learning, game performance, and related gameplay outcomes while also providing a theory-based direction for advancing the study of games more broadly. The propositions explicated in this article are intended to serve as the primary tenets of model matching theory. Considerations for how these propositions may be tested in future games studies research are discussed.

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Section: Overview Of Model Matchingmentioning

confidence: 99%

Section: Proposition 3: Players Refine Mental Models Of Game Models Tmentioning

confidence: 99%

Model Matching Theory: A Framework for Examining the Alignment between Game Mechanics and Mental Models

McGloin

Wasserman

Boyan

2018

MaC

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“…If so it exhibits a slower rate of change at the beginning and end of the task as in a sigmoid or S-shaped function (Ritter & Schooler, 2002).…”

Section: H16mentioning

confidence: 99%

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Kasperek

Schenk

Kreimeyer³

et al. 2016

Systems Engineering

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The dynamic process behavior of Engineering Design Processes (EDPs) needs to be understood in order to distribute resources appropriately as well as for cost and schedule calculation. Currently, structural and behavioral modeling approaches are used in the context of EDP management. In many use cases, it is essential to have at hand both the static structural view and the dynamic behavioral one. Currently, however, the two modeling approaches cannot be sufficiently combined. Within this work, a framework for the structure‐based System Dynamics analysis of EDPs is presented. It uses structural models as a basis for constructing System Dynamics models to simulate the process behavior and thereby supports understanding the correlation of process structure and behavior. This framework was iteratively developed by conducting case studies and consists of three layers, a five‐step procedure and special support for the transformation of the models. For the validation, a subset of the design process at a large German commercial vehicle manufacturer has been chosen. Based on the application of the framework during a six‐month project at the company, the industrial experts rated the framework as beneficial for the purpose of optimizing EDPs. Furthermore, they stated that the transparent representation of the sequence of the process, influencing factors and control variables in combination with the quantitative data had improved their understanding of the overall process.

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“…Frequently, a three phase or stage model [10], [11] is used in describing sensorimotor skill acquisition. In 1967, Fitts and Posner proposed the most used labels of the three stages (or phases) of learning: the cognitive, associative and autonomous stages.…”

Section: Memory Sensorimotor Skill Acquisition Process and Modelsmentioning

confidence: 99%

Evaluating the Dynamics of Aircraft Crew Skill Development by Using the Results of Discrete Exercise Marking

Lešinskis

Chatys

2017

Transport and Aerospace Engineering

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-Aircraft crew training corresponds to the interactive learning models of sensorimotor skill acquisition, and the dynamics of skill acquirement can be approximated by the exponential trend. A model of 5-grade assessment of separate exercises is offered. It helps to calculate a resulting evaluation, in accordance with which the progress level of a discrete exercise is evaluated. Such an evaluation forms one of the points for the analytical construction of a learning curve using the Gaussian method. Possible applications of the learning curve are covered.

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Learning Curve, The

Cited by 149 publications

References 12 publications

Model Matching Theory: A Framework for Examining the Alignment between Game Mechanics and Mental Models

Model Matching Theory: A Framework for Examining the Alignment between Game Mechanics and Mental Models

Structure‐Based System Dynamics Analysis of Engineering Design Processes

Evaluating the Dynamics of Aircraft Crew Skill Development by Using the Results of Discrete Exercise Marking

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