Temporary Belief Sets Management in Adaptive Training Systems

Author(s):  
Robert Andrei Buchmann ◽  
Anamaria Szekely ◽  
Delia Pulcher
Author(s):  
Wallace Feurzeig ◽  
Dan Cohen ◽  
George Lukas ◽  
Martin Schiff

Author(s):  
Julian Abich ◽  
Lauren Reinerman-Jones ◽  
Grant S. Taylor

Author(s):  
Eugeny Ivanovich Smirnov ◽  
Svetlana Dvoryatkina ◽  
Arseny Lopukhin

In this article the urgent problem of control systems modeling of professional competences and mathematical knowledge assessment of students is discussed. Pedagogical expediency in management of students` cognitive activity by using of new informational technologies instruments in monitoring and assessment of knowledge is proved. The possibility of fractal methods application in perfecting of the system of computer monitoring of mathematical knowledge of students as a part of the adaptive training systems is considered and realized. The design of the technology of computer monitoring of students` knowledge on the basis of fractal methods includes the following stages: development of cross-disciplinary fractal and organized base of key mathematical concepts; the creation of the expansible bank of educational and cognitive and research tasks, which is coordinated with fractal structure of the conceptual framework; the development of the program module, which is  focused on individual estimation of quality of students` educational cognitive activity in two characteristics — depth of knowledge based on the Hurst exponent and the size of synergetic effect of educational cognitive activity. The software realization of technology of the computerized control of training in mathematical disciplines quality as a part of the adaptive training system is enabled in the programming language C#. The experience of implementation and operation of the controlling systems realized in the adaptive training systems based on the fractal model operation showed reliability of their work and allowed to increase the quality of educational process management and its effectiveness in general. Using of fractal techniques in computer assessment of mathematical knowledge of students makes it possible to increase the accuracy and speed of evaluation of the students` knowledge.


2021 ◽  
pp. 238-253
Author(s):  
Artem Obukhov ◽  
Victoria Vostrikova ◽  
Alexandra Nazarova ◽  
Daniil Teselkin ◽  
Ekaterina Surkova

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bas Kengen ◽  
Wouter M. IJgosse ◽  
Harry van Goor ◽  
Jan-Maarten Luursema

Abstract Background Adaptive training is an approach in which training variables change with the needs and traits of individual trainees. It has potential to mitigate the effect of personality traits such as impulsiveness on surgical performance. Selective performance feedback is one way to implement adaptive training. This paper investigates whether selective feedback can direct performance of trainees of either high- or low impulsiveness. Methods A total of 83 inexperienced medical students of known impulsiveness performed a four-session laparoscopic training course on a Virtual Reality Simulator. They performed two identical series of tasks every session. During one series of tasks they received performance feedback on duration and during the other series they received feedback on damage. Performance parameters (duration and damage) were compared between the two series of tasks to assess whether selective performance feedback can be used to steer emphasis in performance. To assess the effectiveness of selective feedback for people of high- or low impulsiveness, the difference in performance between the two series for both duration and damage was also assessed. Results Participants were faster when given performance feedback for speed for all exercises in all sessions (average z-value = − 4.14, all p values < .05). Also, they performed better on damage control when given performance feedback for damage in all tasks and during all sessions except for one (average z-value = − 4.19, all but one p value < .05). Impulsiveness did not impact the effectiveness of selective feedback. Conclusion Selective feedback on either duration or damage can be used to improve performance for the variable that the trainee receives feedback on. Trainee impulsiveness did not modulate this effect. Selective feedback can be used to steer training focus in adaptive training systems and can mitigate the negative effects of impulsiveness on damage control.


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