Modelling Students’ Knowledge of Ethics

Sharipova, Mayya; McCalla, Gordon I.

doi:10.1007/978-3-642-39112-5_97

Cited by 3 publications

(2 citation statements)

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“…Conference 2013 [89,90]. After interacting with the people at the conference and the thesis committee members, and after analyzing the comments from the study participants, for our next version of Umka we made the modifications (described below) to the interface, visualization, and suggestions (Sections 6.1, 6.2.1).…”

Section: Chapter 6 Version 3 Of Umkamentioning

confidence: 99%

Supporting Students in the Analysis of Case Studies for Professional Ethics Education

Sharipova

McCalla

2012

Intelligent Tutoring Systems

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Intelligent tutoring systems and computer-supported collaborative environments have been designed to enhance human learning in various domains. While a number of solid techniques have been developed in the Artificial Intelligence in Education (AIED) field to foster human learning in fundamental science domains, there is still a lack of evidence about how to support learning in so-called ill-defined domains that are characterized by the absence of formal domain theories, uncertainty about best solution strategies and teaching practices, and learners' answers represented through text and argumentation.This dissertation investigates how to support students' learning in the ill-defined domain of professional ethics through a computer-based learning system. More specifically, it examines how to support students in the analysis of case studies, which is a common pedagogical practice in the ethics domain.This dissertation describes our design considerations and a resulting system called Umka. In Umka learners analyze case studies individually and collaboratively that pose some ethical or professional dilemmas. Umka provides various types of support to learners in the analysis task. In the individual analysis it provides various kinds of feedback to arguments of learners based on predefined system knowledge. In the collaborative analysis Umka fosters learners' interactions and self-reflection through system suggestions and a specifically designed visualization. The system suggestions offer learners the chance to consider certain helpful arguments of their peers, or to interact with certain helpful peers. The visualization highlights similarities and differences between the learners' positions, and illustrates the learners' level of acceptance of each other's positions.This dissertation reports on a series of experiments in which we evaluated the effectiveness of Umka's support features, and suggests several research contributions.Through this work, it is shown that despite the ill-definedness of the ethics domain, and the consequent complications of text processing and domain modelling, it is possible to build effective tutoring systems for supporting students' learning in this domain. Moreover, the techniques developed through this research for the ethics domain can be readily expanded to other ill-defined domains, where argument, qualitative analysis, metacognition and interaction over case studies are key pedagogical practices.ii

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Section: Chapter 6 Version 3 Of Umkamentioning

confidence: 99%

Supporting Students in the Analysis of Case Studies for Professional Ethics Education

Sharipova

McCalla

2012

Intelligent Tutoring Systems

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“…"Further improvement of the system of continuing education, increasing the capacity of quality educational services, continuing the policy of training highly qualified personnel in accordance with the modern needs of the labor market" were identified as priorities in the field of medical education. In today's pandemic, the requirements for training doctors with modern knowledge, developing their professional competence, increasing their social activity are characterized by the above [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Technologies of methodical improvement of professional competence in the process of medical education

Musurmanova,

Kadirova,

Iminahunova

2023

BIO Web Conf.

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This article deals with issues of medical education, deontology of future doctors, methods of developing professional competence in medical education, comparative analysis of methodological support, pedagogical categories, professional qualities of medical staff, semantic content of medical education, factors influencing the health process, the importance of pedagogy in medical education. The tasks of education, distance learning in the process of medical education, the analysis of experimental results of research results are presented.

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