scholarly journals What Are the Truly Aural Skills?

2021 ◽  
Vol 27 (2) ◽  
Author(s):  
Timothy Chenette
Keyword(s):  
Working Memory ◽  
Pilot Study ◽  
Music Theory ◽  
Aural Skills ◽  
Roman Numeral ◽  
Perceptual Skills ◽  
Knowledge Based ◽  
Current State ◽  
Traditional Curricula

I argue that current models of aural skills instruction are too strongly linked to music theory curricula. I examine harmonic dictation as a case study, demonstrating that the system of roman-numeral/inversion-symbol labels can interfere with our ability to determine what exactly students are hearing and can distract students from more directly perceptual goals. A pilot study suggests that focusing on bass lines and schemata may make our harmonic dictation training more relevant to perception. I propose that a skill is “truly aural” to the extent that it engages working memory with minimal knowledge-based mediation. Finally, I consider the current state of aural skills instruction and suggest a number of curricular revisions. The more radical proposals call for redesigning aural skills classes to focus on perceptual skills and relocating knowledge-mediated listening to the music theory classroom. Other proposals take a more measured approach to integrating perceptual skills with otherwise traditional curricula.

Valuing Knowledge-Based Initiatives

2013 ◽  
pp. 1-15
Author(s):  
Hind Benbya
Keyword(s):  
Empirical Analysis ◽  
Silicon Valley ◽  
Business Value ◽  
Theory And Practice ◽  
Knowledge Based ◽  
Current State ◽  
Knowledge Value

The objective of this paper is to provide an overview of the current state of theory and practice on valuing Knowledge-Based Initiatives (KBI). Drawing on the literature concerning IT and business value, this paper summarizes what is known about valuing IT-based initiatives, discusses the specificity of KBI and outline main challenges that continue to limit research in this area. This paper also examines how managers deal with these challenges and what metrics they use to assess knowledge value. These managerial insights are derived from interviews as well as empirical analysis of several Silicon Valley firms. This paper gives an emerging approach for valuing KBI and illustrates its implementation with a case study from IBM.

Valuing Knowledge-Based Initiatives

2011 ◽  
Vol 7 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Hind Benbya
Keyword(s):  
Empirical Analysis ◽  
Silicon Valley ◽  
Business Value ◽  
Theory And Practice ◽  
Knowledge Based ◽  
Current State ◽  
Knowledge Value

The objective of this paper is to provide an overview of the current state of theory and practice on valuing Knowledge-Based Initiatives (KBI). Drawing on the literature concerning IT and business value, this paper summarizes what is known about valuing IT-based initiatives, discusses the specificity of KBI and outline main challenges that continue to limit research in this area. This paper also examines how managers deal with these challenges and what metrics they use to assess knowledge value. These managerial insights are derived from interviews as well as empirical analysis of several Silicon Valley firms. This paper gives an emerging approach for valuing KBI and illustrates its implementation with a case study from IBM.

The contribution of low-level sensory features versus knowledge-based factors for encoding of objects in working memory

2013 ◽  
Author(s):  
Valerio Santangelo ◽  
Simona Arianna Di Francesco ◽  
Serena Mastroberardino ◽  
Emiliano Macaluso
Keyword(s):  
Working Memory ◽  
Low Level ◽  
Knowledge Based ◽  
Sensory Features

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

Teaching Music Theory

2020 ◽  
Author(s):  
Jennifer Snodgrass
Keyword(s):  
Music Theory ◽  
Classroom Environment ◽  
Teaching And Learning ◽  
Undergraduate Research ◽  
Real Life ◽  
Aural Skills ◽  
New Faculty ◽  
Music Therapist ◽  
Starting Point ◽  
Teaching Music

Many innovative approaches to teaching are being used around the country, and there is an exciting energy about the scholarship of teaching and learning. But what is happening in the most effective music theory and aural skills classrooms? Based on 3 years of field study spanning 17 states, coupled with reflections from the author’s own teaching strategies, Teaching Music Theory: New Voices and Approaches highlights teaching approaches with substantial real-life examples from instructors across the country. The main premise of the text focuses on the question of “why.” Why do we assess in a particular way? Why are our curricula designed in a certain manner? Why should students master aural skills for their career as a performer, music educator, or music therapist? It is through the experiences shared in the text that many of these questions of “why” are answered. Along with answering some of the important questions of “why,” the book emphasizes topics such as classroom environment, undergraduate research and mentoring, assessment, and approaches to curriculum development. Teaching Music Theory: New Voices and Approaches is written in a conversational tone to provide a starting point of dialogue for students, new faculty members, and seasoned educators on any level. The pedagogical trends presented in this book provide a greater appreciation of outstanding teaching and thus an understanding of successful approaches in the classroom.

scholarly journals Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

2021 ◽  
Vol 10 (6) ◽  
pp. 386
Author(s):  
Jennie Gray ◽  
Lisa Buckner ◽  
Alexis Comber
Keyword(s):  
Social Dynamics ◽  
Feature Space ◽  
Social Processes ◽  
Multiple Time ◽  
Current State ◽  
Cluster Label ◽  
Static Data ◽  
The Social ◽  
Using Data

This paper reviews geodemographic classifications and developments in contemporary classifications. It develops a critique of current approaches and identifiea a number of key limitations. These include the problems associated with the geodemographic cluster label (few cluster members are typical or have the same properties as the cluster centre) and the failure of the static label to describe anything about the underlying neighbourhood processes and dynamics. To address these limitations, this paper proposed a data primitives approach. Data primitives are the fundamental dimensions or measurements that capture the processes of interest. They can be used to describe the current state of an area in a multivariate feature space, and states can be compared over multiple time periods for which data are available, through for example a change vector approach. In this way, emergent social processes, which may be too weak to result in a change in a cluster label, but are nonetheless important signals, can be captured. As states are updated (for example, as new data become available), inferences about different social processes can be made, as well as classification updates if required. State changes can also be used to determine neighbourhood trajectories and to predict or infer future states. A list of data primitives was suggested from a review of the mechanisms driving a number of neighbourhood-level social processes, with the aim of improving the wider understanding of the interaction of complex neighbourhood processes and their effects. A small case study was provided to illustrate the approach. In this way, the methods outlined in this paper suggest a more nuanced approach to geodemographic research, away from a focus on classifications and static data, towards approaches that capture the social dynamics experienced by neighbourhoods.

scholarly journals Semantic and knowledge based support to business model evaluation to stimulate green behaviour of electric vehicles’ drivers and energy prosumers

2021 ◽  
Author(s):  
Beniamino Di Martino ◽  
Dario Branco ◽  
Luigi Colucci Cante ◽  
Salvatore Venticinque ◽  
Reinhard Scholten ◽  
...  
Keyword(s):  
Business Model ◽  
Model Evaluation ◽  
Business Models ◽  
Real Case ◽  
Sustainable Mobility ◽  
Semantic Framework ◽  
Knowledge Based ◽  
Survey Results ◽  
Energy Prosumers

AbstractThis paper proposes a semantic framework for Business Model evaluation and its application to a real case study in the context of smart energy and sustainable mobility. It presents an ontology based representation of an original business model and examples of inferential rules for knowledge extraction and automatic population of the ontology. The real case study belongs to the GreenCharge European Project, that in these last years is proposing some original business models to promote sustainable e-mobility plans. An original OWL Ontology contains all relevant Business Model concepts referring to GreenCharge’s domain, including a semantic description of TestCards, survey results and inferential rules.

Knowledge transfer roles of subsidiaries in MNCs’ networks

2019 ◽  
Vol 29 (4) ◽  
pp. 329-346 ◽  
Author(s):  
Cigdem Baskici
Keyword(s):  
Knowledge Transfer ◽  
Single Case ◽  
Research Question ◽  
Hierarchical Structures ◽  
Knowledge Flows ◽  
Consumer Electronics ◽  
Knowledge Network ◽  
Content Type ◽  
Knowledge Based

Purpose Although there have been a considerable number of studies regarding subsidiary role typology in multinationals’ management literature, there appear to be few studies that consider knowledge-based role typology from the network-based perspective. The purpose of this study is to fill this gap and extend the study of Gupta and Govindarajan (1991). Thus, the study focuses on answering the following research question: Do subsidiaries have different roles in terms of knowledge flows within a multinational company (MNC)? Design/methodology/approach This empirical study has been carried out as an explorative single case study. An MNC with 15 foreign subsidiaries headquartered in Turkey, which operated in the manufacturing of household appliances and consumer electronics, has been selected as the case. Knowledge transfer is analyzed in this MNC from the network perspective. Findings Four role typologies are detected for subsidiaries of the MNC: collector transmitter, collector diffuser, converter transmitter and converter diffuser. Research limitations/implications Findings of this study are specific to this case. Testing the findings in a sample consisting of subsidiaries of MNCs producing transnational products may contribute to the generalizability of these roles. Practical implications This study offers potentially important findings for MNC managers to use. First, in this study, knowledge flows' route could be defined within MNCs’ dual network. Second, role typologies could inform MNC managers to design their MNCs’ knowledge network. Originality/value The suggested typologies are expected to more accurately define the roles of subsidiaries within contemporary MNCs which are accepted to be transformed from hierarchical structures to network-based organizations.

scholarly journals Defining and Quantifying Intermittency in the Power Sector

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3366
Author(s):  
Daniel Suchet ◽  
Adrien Jeantet ◽  
Thomas Elghozi ◽  
Zacharie Jehl
Keyword(s):  
Power Source ◽  
Production Data ◽  
Power Sector ◽  
Predictive Capacity ◽  
The Public ◽  
Current State ◽  
Definition Of ◽  
Quantitative Definition ◽  
The Impact

The lack of a systematic definition of intermittency in the power sector blurs the use of this term in the public debate: the same power source can be described as stable or intermittent, depending on the standpoint of the authors. This work tackles a quantitative definition of intermittency adapted to the power sector, linked to the nature of the source, and not to the current state of the energy mix or the production predictive capacity. A quantitative indicator is devised, discussed and graphically depicted. A case study is illustrated by the analysis of the 2018 production data in France and then developed further to evaluate the impact of two methods often considered to reduce intermittency: aggregation and complementarity between wind and solar productions.

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