A General Framework and Control Theoretic Approach for Adaptive Interactive Learning Environments

Streicher, Alexander; Schönbein, Rainer; Pickl, Stefan

doi:10.1007/978-3-030-64973-9_15

Cited by 6 publications

(2 citation statements)

References 22 publications

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“…This challenge has been approached with a narrative-based generation methodology in [36], while the usage of cellular automatons has been proposed in [37]. Personalized or adaptive forms of training in a virtualized learning environment, which includes serious games simulations, have been treated in [38,39]. In [7] (see also [6,40]), the authors review some of the research and methods introduced for automated scenario generation in typical simulation training domains such as military training and defense planning along with presenting a novel method for procedural scenario generation using functional L-systems.…”

Section: Related Workmentioning

confidence: 99%

Combinatorial Sequences for Disaster Scenario Generation

Garn¹,

Kieseberg²,

Schreiber³

et al. 2023

Oper. Res. Forum

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Training exercises are an important tool in crisis management, as they can assist in a multitude of tasks, such as planning pre-crisis resource requirements and allocation, response planning and help train emergency personnel for actual crises. To be effective, the exercises have to utilize well constructed scenarios and be able to replicate certain characteristics of a crisis situation. In this paper, we propose a conceptual mathematical modeling approach for the automated generation of scenarios for disaster exercises via certain combinatorial sequence structures. The derived scenarios within an exercise collectively fulfill different notions of combinatorial sequence coverage, thereby providing the means to test existing response strategies for deficiencies as well as to train emergency personnel for their ability to handle different arrangements of events. This guaranteed diversity by construction can be used as a basis to obtain quantitative assurance statements when these scenarios have been successfully mastered by participants in exercises. We illustrate our proposed approach utilizing two different combinatorial structures for two example disasters.

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Section: Related Workmentioning

confidence: 99%

Combinatorial Sequences for Disaster Scenario Generation

Garn¹,

Kieseberg²,

Schreiber³

et al. 2023

Oper. Res. Forum

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“…Learning effectiveness is the main goal that can be used to measure the construction of learning behavior (Xia & Qi, 2022). Learning effectiveness and learning environment affect learning behavior (Nikolovski et al, 2021;Streicher et al, 2021).…”

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confidence: 99%

Mathematical model of student learning behavior with the effect of learning motivation and student social interaction

Mutiawati¹,

Johar²,

Ramli³

et al. 2022

j. math. educ.

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This study aims to determine the mathematical model of student learning behavior. The model is built by analogizing the spread of learning behavior with infectious diseases, which is called the SEIR model. The survey was conducted through filling out a questionnaire on the learning behavior of junior high school students with a population of 1,143 students. The results of the simulation model show that the peak of students' vulnerability to changes in learning behavior increases rapidly in the first two days and will be stable when passing the 150th day. The results of the simulation of the SEIR mathematical model with an incubation period of 365 days found that student learning behavior in Non-Boarding Schools will be stable in on day 198, while in Boarding Schools it will be stable on day 201. Infection cases in Boarding Schools fell to 0 on day 25 while in Non-Boarding Schools decreased on day 21, meaning that infections occurring in Boarding Schools were slower and more resistant long, meaning that the influence of the social environment is very significant on student learning behavior. This study also serves as material for policy formulation for the Aceh Provincial Government regarding the junior high school curriculum.

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