scholarly journals Competence-based fuzzy skill functions

2021 ◽  
Author(s):  
Wen Sun

Fuzzy skill functions connect knowledge states at the performance level with latent cognitive abilities at the competence level. Given that there may exist precedence relations among skills, the main idea of this study is trying to develop fuzzy competence structures restricted on the possible fuzzy sets of skills that can occur. The knowledge structures delineated by fuzzy skill functions are related to the fuzzy competence structures. Knowledge spaces can be delineated by disjunctive fuzzy skill functions when the fuzzy competence structures are $\sqcup$-closed. Simple closure spaces can be delineated by conjunctive fuzzy skill functions when the fuzzy competence structures are $\sqcap$-closed. Delineating knowledge structures via competence-based fuzzy skill functions just depends on the effective competence states. We design algorithms for delineating knowledge structures via competence-based fuzzy skill functions without listing all fuzzy competence states of fuzzy competence structures.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nell Musgrove ◽  
Naomi Wolfe

PurposeThis article considers the impact of competing knowledge structures in teaching Australian Indigenous history to undergraduate university students and the possibilities of collaborative teaching in this space.Design/methodology/approachThe authors, one Aboriginal and one non-Aboriginal, draw on a history of collaborative teaching that stretches over more than a decade, bringing together conceptual reflective work and empirical data from a 5-year project working with Australian university students in an introductory-level Aboriginal history subject.FindingsIt argues that teaching this subject area in ways which are culturally safe for Aboriginal and Torres Strait Islander staff and students, and which resist knowledge structures associated with colonial ways of conveying history, is not only about content but also about building learning spaces that encourage students to decolonise their relationships with Australian history.Originality/valueThis article considers collaborative approaches to knowledge transmission in the university history classroom as an act of decolonising knowledge spaces rather than as a model of reconciliation.


2019 ◽  
Vol 9 (4) ◽  
pp. 292
Author(s):  
Christopher M. Rios ◽  
Chris M. Golde ◽  
Rochelle E. Tractenberg

A steward of the discipline was originally defined as “someone who will creatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through writing, teaching, and application”. This construct was articulated to support and strengthen doctoral education. The purpose of this paper is to expand the construct of stewardship so that it can be applied to both scholars and non-academic practitioners, and can be initiated earlier than doctoral education. To accomplish and justify this, we describe a general developmental trajectory supporting cross-curriculum teaching for stewardship of a discipline as well as of a profession. We argue that the most important features of stewardship, comprising the public trust for the future of their discipline or profession, are obtainable by all practitioners, and are not limited to those who have completed doctoral training. The developmental trajectory is defined using the Mastery Rubric construct, which requires articulating the knowledge, skills, and abilities (KSAs) to be targeted with a curriculum; recognizable stages of performance of these KSAs; and performance level descriptors of each KSA at each stage. Concrete KSAs of stewardship that can be taught and practiced throughout the career (professional or scholarly) were derived directly from the original definition. We used the European guild structure’s stages of Novice, Apprentice, Journeyman, and Master for the trajectory, and through a consensus-based standard setting exercise, created performance level descriptors featuring development of Bloom’s taxonometric cognitive abilities (see Appendix A) for each KSA. Together, these create the Mastery Rubric for Stewardship (MR-S). The MR-S articulates how stewardly behavior can be cultivated and documented for individuals in any disciplinary curriculum, whether research-intensive (preparing “scholars”) or professional (preparing members of a profession or more generally for the work force). We qualitatively assess the validity of the MR-S by examining its applicability to, and concordance with professional practice standards in three diverse disciplinary examples: (1) History; (2) Statistics and Data Science; and (3) Neurosciences. These domains differ dramatically in terms of content and methodologies, but students in each discipline could either continue on to doctoral training and scholarship, or utilize doctoral or pre-doctoral training in other professions. The MR-S is highly aligned with the practice standards of all three of these domains, suggesting that stewardship can be meaningfully cultivated and utilized by those working in or outside of academia, supporting the initiation of stewardship prior to doctoral training and for all students, not only those who will earn PhDs or be scholars first and foremost. The MR-S can be used for curriculum development or revision in order to purposefully promote stewardship at all levels of higher education and beyond. The MR-S renders features of professional stewardship accessible to all practitioners, enabling formal and informal, as well as self-directed, development and refinement of a professional identity.


2011 ◽  
Vol 181 (8) ◽  
pp. 1426-1439 ◽  
Author(s):  
Eduard Bartl ◽  
Radim Belohlavek

Author(s):  
Marwa B. Swidan ◽  
Ali A. Alwan ◽  
Sherzod Turaev ◽  
Yonis Gulzar

Nowadays, in most of the modern database applications, lots of critical queries and tasks cannot be completely addressed by machine. Crowd-sourcing database has become a new paradigm for harness human cognitive abilities to process these computer hard tasks. In particular, those problems  that are difficult for machines but easier for humans can be solved better than ever, such as entity resolution, fuzzy matching for predicates and joins, and image recognition. Additionally, crowd-sourcing database allows performing database operators on incomplete data as human workers can be involved to provide estimated values during run-time. Skyline queries which received formidable attention by database community in the last decade, and exploited in a variety of applications such as multi-criteria decision making and decision support systems. Various works have been accomplished address the issues of skyline query in crowd-sourcing database. This includes a database with full and partial complete data. However, we argue that processing skyline queries with partial incomplete data in crowd-sourcing database has not received an appropriate attention. Therefore, an efficient approach processing skyline queries with partial incomplete data in crowd-sourcing database is needed. This paper attempts to present an efficient model tackling the issue of processing skyline queries in incomplete crowd-sourcing database. The main idea of the proposed model is exploiting the available data in the database to estimate the missing values. Besides, the model tries to explore the crowd-sourced database in order to provide more accurate results, when local database failed to provide precise values. In order to ensure high quality result could be obtained, certain factors should be considered for worker selection to carry out the task such as workers quality and the monetary cost. Other critical factors should be considered such as time latency to generate the results.


Author(s):  
Olivia B. Newton ◽  
Stephen M. Fiore

A significant challenge for the development of artificial social intelligence for effective human-machine teams is defining the forms of artificial knowledge structures needed for machine agents to meaningfully engage in collaboration. Relevant to this, individual and shared knowledge structure concepts have been proposed across a variety of disciplines, resulting in a lack of conceptual clarity and impeding their operationalization for human-machine teaming. To reconcile conceptual differences across disciplines and enable the emergence of complex socio-cognitive abilities in machine agents, research is needed to integrate theory on the knowledge structures that underpin complex cognition. Toward this end, we survey research from the cognitive and computational sciences to develop a framework for the systematic application and evaluation of knowledge structure concepts for machine agents in teams. Our approach focuses on contextual factors, specifically the task environment structure and the situation temporality, that can help guide knowledge structure requirements for artificial social intelligence.


2019 ◽  
Author(s):  
Christopher M. Rios ◽  
Chris M. Golde ◽  
Rochelle E. Tractenberg

A steward of the discipline was originally defined as “someone who will creatively generate new knowledge, critically conserve valuable and useful ideas, and responsibly transform those understandings through writing, teaching, and application”. This construct was articulated to support and strengthen doctoral education. This paper expands the construct of stewardship so that it can be applied to both scholars and non-academic practitioners, and can be initiated earlier than doctoral education. To accomplish this, we describe a general developmental trajectory supporting cross-curriculum teaching for stewardship of a discipline as well as of a profession. We argue that the most important features of stewardship, comprising the public trust for the future of their discipline or profession, are obtainable by all practitioners, and are not limited to those who have completed doctoral training. The developmental trajectory is a Mastery Rubric, which requires articulating the knowledge, skills, and abilities (KSAs) to be targeted with a curriculum; recognizable stages of performance of these KSAs; and performance level descriptors of each KSA at each stage. Concrete KSAs of stewardship that can be taught and practiced throughout the career (professional or scholarly) were derived directly from the original definition. We used the European guild structure’s stages of Novice, Apprentice, Journeyman, and Master for the trajectory, and through a consensus-based standard setting exercise, created performance level descriptors featuring development of Bloom’s taxonometric cognitive abilities for each KSA. Together, these create the Mastery Rubric for Stewardship (MR-S). The MR-S articulates how stewardly behaviour can be cultivated and documented for individuals in any disciplinary curriculum, whether research-intensive (preparing “scholars”) or professional (preparing members of a profession or more generally for the work force). We qualitatively assess the validity of the MR-S by examining its applicability to, and concordance with professional practice standards in three diverse disciplinary examples: 1) History; 2) Statistics and Data Science; and 3) Neurosciences. These domains differ dramatically in terms of content and methodologies, but students in each discipline could either continue on to doctoral training and scholarship, or utilize doctoral or pre-doctoral training in other professions. The MR-S is highly aligned with the practice standards of all three of these domains, suggesting that stewardship can be meaningfully cultivated and utilized by those working in or outside of academia. The MR-S can be used for curriculum development or revision in order to purposefully promote stewardship at all levels of higher education and beyond.


2020 ◽  
Vol 43 ◽  
Author(s):  
Andrew Whiten

Abstract The authors do the field of cultural evolution a service by exploring the role of non-social cognition in human cumulative technological culture, truly neglected in comparison with socio-cognitive abilities frequently assumed to be the primary drivers. Some specifics of their delineation of the critical factors are problematic, however. I highlight recent chimpanzee–human comparative findings that should help refine such analyses.


2019 ◽  
Vol 4 (4) ◽  
pp. 633-640 ◽  
Author(s):  
Canice E. Crerand ◽  
Ari N. Rabkin

Purpose This article reviews the psychosocial risks associated with 22q11.2 deletion syndrome, a relatively common genetic condition associated with a range of physical and psychiatric problems. Risks associated with developmental stages from infancy through adolescence and early adulthood are described, including developmental, learning, and intellectual disabilities as well as psychiatric disorders including anxiety, mood, and psychotic disorders. Other risks related to coping with health problems and related treatments are also detailed for both affected individuals and their families. Conclusion The article ends with strategies for addressing psychosocial risks including provision of condition-specific education, enhancement of social support, routine assessment of cognitive abilities, regular mental health screening, and referrals for empirically supported psychiatric and psychological treatments.


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