The Experts below are selected from a list of 188949 Experts worldwide ranked by ideXlab platform
Alain Mille - One of the best experts on this subject based on the ideXlab platform.
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Assisting activity analysis in professional learning environments. Case study: activity analysis of Trainees on nuclear power plant full-scale simulators
International Journal of Learning Technology, 2017Co-Authors: Karim Sehaba, Olivier Champalle, Alain MilleAbstract:This paper addresses the issue of assisting observation and analysis of learners’ behaviour. Our goal is to propose models/tools to facilitate these tasks for the trainer. We propose an approach based on the exploitation traces. The trace represents learners’ practices within learning environments. The principle is to transform traces of low abstraction level to build higher-level information that reflects the learner’s behaviour. Our work is part of a project in partnership with the EDF Group aiming to assist trainers in observation and analysis of trainee operators for driving activities on nuclear power plant fullscale simulator. We developed a platform D3KODE that implements our models. D3KODE allows storage, processing and interactive visualisation of traces, and has been experimented with EDF Group experts, trainers and Trainees. The result demonstrated D3KODE helped the trainers to confirm/validate more easily realisations and no-realisations of educational objectives Trainees and facilitated the exchanges between tutors and Trainees.
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Capitalize and share observation and analysis knowledge to assist trainers in professional training with simulation Case of training and skills maintain of Nuclear Power Plant control room staff
2013Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:The observation and analysis of the activity of learners in computerized environments training is a major is- sue, particularly in the context of professional training on nuclear power plant full-scope simulator. In such a context, the role of the trainers is critic and require constant alertness throughout the simulation especially for the young trainers. The objective of our work is to propose an approach to facilitate the observation and analysis of the Trainees’ activities. This approach is based on interaction traces. It consists in representing the operators’ actions and the simulation data in the form of modelled traces. These modelled traces are trans- formed in order to extract higher informations levels on the behaviour of Trainees. Trainers can visualize the different levels to analyse the reasons, of successes or failure of Trainees. This approach has been implemented in a prototype, called D3KODE, allowing the representation, processing and visualization of traces. D3KODE was evaluate according to a comparative protocol conducted with a team of trainers from EDF Group.
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Assistance to trainers for the observation and analysis activities of operators Trainees on Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain Mille, Dino Cosmas, Yannick PriéAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analysis of the individual and collective interaction of the Trainees are critical and particularly difficult. The objectif of our work is to propose models and tools to help trainers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled traces. These modelled traces are then transformed in order to extract higher information level. Trainers can visualized the different levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
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Observations models to track learners' activity during training on a Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analy-sis of the individual and collective interaction of the Trainees is critical and particu-larly difficult. The objective of our work is to propose models and tools to help train-ers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled trace. These modelled traces are then trans-formed in order to extract higher information level. Trainers can visualized the differ-ent levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
Olivier Champalle - One of the best experts on this subject based on the ideXlab platform.
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Assisting activity analysis in professional learning environments. Case study: activity analysis of Trainees on nuclear power plant full-scale simulators
International Journal of Learning Technology, 2017Co-Authors: Karim Sehaba, Olivier Champalle, Alain MilleAbstract:This paper addresses the issue of assisting observation and analysis of learners’ behaviour. Our goal is to propose models/tools to facilitate these tasks for the trainer. We propose an approach based on the exploitation traces. The trace represents learners’ practices within learning environments. The principle is to transform traces of low abstraction level to build higher-level information that reflects the learner’s behaviour. Our work is part of a project in partnership with the EDF Group aiming to assist trainers in observation and analysis of trainee operators for driving activities on nuclear power plant fullscale simulator. We developed a platform D3KODE that implements our models. D3KODE allows storage, processing and interactive visualisation of traces, and has been experimented with EDF Group experts, trainers and Trainees. The result demonstrated D3KODE helped the trainers to confirm/validate more easily realisations and no-realisations of educational objectives Trainees and facilitated the exchanges between tutors and Trainees.
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Capitalize and share observation and analysis knowledge to assist trainers in professional training with simulation Case of training and skills maintain of Nuclear Power Plant control room staff
2013Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:The observation and analysis of the activity of learners in computerized environments training is a major is- sue, particularly in the context of professional training on nuclear power plant full-scope simulator. In such a context, the role of the trainers is critic and require constant alertness throughout the simulation especially for the young trainers. The objective of our work is to propose an approach to facilitate the observation and analysis of the Trainees’ activities. This approach is based on interaction traces. It consists in representing the operators’ actions and the simulation data in the form of modelled traces. These modelled traces are trans- formed in order to extract higher informations levels on the behaviour of Trainees. Trainers can visualize the different levels to analyse the reasons, of successes or failure of Trainees. This approach has been implemented in a prototype, called D3KODE, allowing the representation, processing and visualization of traces. D3KODE was evaluate according to a comparative protocol conducted with a team of trainers from EDF Group.
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Assistance to trainers for the observation and analysis activities of operators Trainees on Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain Mille, Dino Cosmas, Yannick PriéAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analysis of the individual and collective interaction of the Trainees are critical and particularly difficult. The objectif of our work is to propose models and tools to help trainers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled traces. These modelled traces are then transformed in order to extract higher information level. Trainers can visualized the different levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
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Observations models to track learners' activity during training on a Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analy-sis of the individual and collective interaction of the Trainees is critical and particu-larly difficult. The objective of our work is to propose models and tools to help train-ers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled trace. These modelled traces are then trans-formed in order to extract higher information level. Trainers can visualized the differ-ent levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
Karim Sehaba - One of the best experts on this subject based on the ideXlab platform.
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Assisting activity analysis in professional learning environments. Case study: activity analysis of Trainees on nuclear power plant full-scale simulators
International Journal of Learning Technology, 2017Co-Authors: Karim Sehaba, Olivier Champalle, Alain MilleAbstract:This paper addresses the issue of assisting observation and analysis of learners’ behaviour. Our goal is to propose models/tools to facilitate these tasks for the trainer. We propose an approach based on the exploitation traces. The trace represents learners’ practices within learning environments. The principle is to transform traces of low abstraction level to build higher-level information that reflects the learner’s behaviour. Our work is part of a project in partnership with the EDF Group aiming to assist trainers in observation and analysis of trainee operators for driving activities on nuclear power plant fullscale simulator. We developed a platform D3KODE that implements our models. D3KODE allows storage, processing and interactive visualisation of traces, and has been experimented with EDF Group experts, trainers and Trainees. The result demonstrated D3KODE helped the trainers to confirm/validate more easily realisations and no-realisations of educational objectives Trainees and facilitated the exchanges between tutors and Trainees.
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Capitalize and share observation and analysis knowledge to assist trainers in professional training with simulation Case of training and skills maintain of Nuclear Power Plant control room staff
2013Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:The observation and analysis of the activity of learners in computerized environments training is a major is- sue, particularly in the context of professional training on nuclear power plant full-scope simulator. In such a context, the role of the trainers is critic and require constant alertness throughout the simulation especially for the young trainers. The objective of our work is to propose an approach to facilitate the observation and analysis of the Trainees’ activities. This approach is based on interaction traces. It consists in representing the operators’ actions and the simulation data in the form of modelled traces. These modelled traces are trans- formed in order to extract higher informations levels on the behaviour of Trainees. Trainers can visualize the different levels to analyse the reasons, of successes or failure of Trainees. This approach has been implemented in a prototype, called D3KODE, allowing the representation, processing and visualization of traces. D3KODE was evaluate according to a comparative protocol conducted with a team of trainers from EDF Group.
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Assistance to trainers for the observation and analysis activities of operators Trainees on Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain Mille, Dino Cosmas, Yannick PriéAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analysis of the individual and collective interaction of the Trainees are critical and particularly difficult. The objectif of our work is to propose models and tools to help trainers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled traces. These modelled traces are then transformed in order to extract higher information level. Trainers can visualized the different levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
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Observations models to track learners' activity during training on a Nuclear Power Plant Full-Scope Simulator
2012Co-Authors: Olivier Champalle, Karim Sehaba, Alain MilleAbstract:This article focuses on the professional training of operators of Nuclear Power Plants (NPP) on Full-Scope Simulators (FSS). In such context, observation and analy-sis of the individual and collective interaction of the Trainees is critical and particu-larly difficult. The objective of our work is to propose models and tools to help train-ers observe and analyze Trainees' activities during preparation and debriefing. For that purpose, our approach consists in representing the actions of the operators and the simulation data in the form of modelled trace. These modelled traces are then trans-formed in order to extract higher information level. Trainers can visualized the differ-ent levels of trace to analyze the reasons, collective or individual, of successes or failure of Trainees during the simulation. In order to validate our approach, we have developed the prototype D3KODE based on the trace model and transformation that we proposed. This prototype was then evaluate according to a protocol based on a comparative method in the context of several experiment conducted with a team of experts, trainers and Trainees from EDF Group.
Yasuhiro Torii - One of the best experts on this subject based on the ideXlab platform.
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Relationship of trainee dentists’ self-reported empathy and communication behaviors with simulated patients’ assessment in medical interviews
PLOS ONE, 2018Co-Authors: Sho Watanabe, Hiroaki Taketa, Noriko Shiotsu, Takayuki Kono, Hajime Shirai, Toshiko Yoshida, Yasuhiro ToriiAbstract:Objectives We aimed to clarify the communication behaviors between trainee dentists and simulated patients (SPs), to examine how the level of trainee dentists’ self-reported empathy influences assessment by SPs in medical interviews. Materials and methods The study involved 100 trainee dentists at Okayama University Hospital and eight SPs. The trainee dentists conducted initial interviews with the SPs after completing the Japanese version of the Jefferson Scale of Empathy (JSE). All interviews were recorded and analyzed using the Roter Interaction Analysis System (RIAS). The SPs assessed the Trainees’ communication immediately after each interview. The trainee dentists were classified into two groups (more positive and less positive) according to SP assessment scores. Results Compared with less-positive Trainees, the more-positive Trainees scored higher in the RIAS category of emotional expression and lower in the medical data gathering category. There was no difference in dental data gathering between the two groups. SP ratings for more-positive Trainees were higher for use of positive talk and emotional expression and lower for giving medical information and dental information. Trainees with more positive ratings from SPs had significantly higher JSE total scores. Conclusion The results of this study suggest that responding to the emotions of patients is an important behavior in dentist-patient communication, according to SPs’ positive assessment in medical interviews. Further, SPs’ assessment of Trainees’ communication was related to Trainees’ self-reported empathy, which indicates that an empathic attitude among dentists is a significant determinant of patient satisfaction.
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Relationships of trainee dentists’ empathy and communication characteristics with simulated patients’ assessment in medical interviews
bioRxiv, 2018Co-Authors: Sho Watanabe, Hiroaki Taketa, Noriko Shiotsu, Takayuki Kono, Hajime Shirai, Toshiko Yoshida, Yasuhiro ToriiAbstract:Objectives We aimed to clarify the characteristics of communication between trainee dentists and simulated patients (SPs) and to examine how the level of trainee dentists’ self-reported empathy influences assessment by SPs in medical interviews. Materials and methods The study involved 100 trainee dentists at Okayama University Hospital and eight SPs. The trainee dentists conducted initial interviews with the SPs after completing the Japanese version of the Jefferson Scale of Empathy. Their interviews were recorded and analyzed using the Roter Interaction Analysis System. The SPs assessed the Trainees’ communication immediately after each interview. The trainee dentists were classified into two groups (more positive and less positive groups) according to SP assessment scores. Results Compared with the less positive Trainees, the more positive Trainees scored higher on the [Emotional expression] and lower on the [Medical data gathering] Roter Interaction Analysis System categories. There was no difference in [Dental data gathering] between the two groups. The SPs of more positive Trainees had higher rates of [Positive talk] and [Emotional expression] and lower rates of [Medical information giving] and [Dental information giving]. The Trainees with more positive ratings from SPs had significantly higher Jefferson Scale of Empathy total scores. Conclusion The results of this study suggest that responding to the SPs’ emotions is a relevant characteristic of dentist–SP communication to SPs’ positive assessment in medical interviews. Further, Trainees’ self-reported empathy was related with the SPs’ assessment of Trainees’ communication, which indicated that patient satisfaction can be improved by increasing the dentist’s empathy. Thus, an empathic attitude among dentists is a significant determinant of patient satisfaction.
James Moses - One of the best experts on this subject based on the ideXlab platform.
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Increasing Trainee Reporting of Adverse Events With Monthly Trainee-Directed Review of Adverse Events
Academic pediatrics, 2017Co-Authors: Alla Smith, Jonathan Hatoun, James MosesAbstract:Abstract Objective Underreporting of adverse events by physicians is a barrier to improving patient safety. In an effort to increase resident and medical student (hereafter "trainee") reporting of adverse events, Trainees developed and led a monthly conference during which they reviewed adverse event reports (AERs), identified system vulnerabilities, and designed solutions to those vulnerabilities. Methods Monthly conferences over the 22-month study period were led by pediatric Trainees and attended by fellow Trainees, departmental leadership, and members of the hospital's quality improvement team. Trainees selected which AERs to review, with a focus on common near misses. Discussions were directed toward the development of potential solutions to issues identified in the reports. Trainee submissions of AERs were tracked monthly. Results The mean number of AERs submitted by Trainees increased from 6.7 per month during the baseline period to 14.1 during the study period ( P P = .0059). There was no significant increase in reporting by any other group (attending, nursing, or pharmacy). Multiple meaningful solutions to identified system vulnerabilities were developed with trainee input. Conclusions Trainee-led monthly adverse event review conferences sustainably increased trainee reporting of adverse events. These conferences had the additional benefit of having Trainees use their unique perspective as frontline providers to identify important system vulnerabilities and develop innovative solutions.
