6 research outputs found
Description and Analysis of the Competence and Performance of Mathematics Teachers during the COVID 19 Pandemic: A Study Conducted in Gorontalo City
No full textIn the era of the COVID-19 pandemic, online learning has become the main alternative to the learning system taken by schools. The implementation of the online system certainly affects teachers\u27 performance as the frontline in the success of a learning process. In this case, at least the teacher\u27s performance has been directly or indirectly influenced by the learning system that is being carried out. This study aimed to describe and analyze the performance of teachers’ competencies during the COVID-19 pandemic. The study relied on a quantitative descriptive method, and the data were taken from the results of a questionnaire distributed to 89 teachers. The research instrument used questionnaires and interviews, which had previously been tested for validity and reliability. Furthermore, the results of the questionnaires were analyzed based on theories related to teacher performance and theories related to teacher competency development. The result showed that the teachers’ performances with the online learning system during the COVID-19 pandemic were varied and greatly influenced by the competence of the previous teacher. Based on these results, it could be concluded that teachers with high competence had higher performance than teachers with low competence in online learning. Likewise, there was an interaction between the ability of teacher competence and teacher performance in online mathematics learning. Further, the average performance of mathematics teachers in online learning was lower than the performance of teachers who use ordinary learning
Impact of Organized Retailing on the Unorganized Sector
No full textThe retail business, in India, is estimated to grow at 13 per cent per annum from US 590 billion in 2011-12. The unorganized retail sector is expected to grow at about 10 per cent per annum from US 496 billion in 2011-12. Organized retail which now constitutes a small four per cent of retail sector in 2006-07 is likely to grow at 45-50 per cent per annum and quadruple its share of total retail trade to 16 per cent by 2011-12. The study, which was based on the largest ever survey of all segments of the economy that could be affected by the entry of large corporates in the retail business, has found that unorganized retailers in the vicinity of organized retailers experienced a decline in sales and profit in the initial years of the entry of organized retailers. The adverse impact, however, weakens over time. The study has indicated how consumers and farmers benefit from organized retailers. The study has also examined the impact on intermediaries and manufacturers. The results are indicative of the mega-and-minimetro cities around a limited number of organized retail outlets. Based on the results of the surveys, the study has made a number of specific policy recommendations for regulating the interaction of large retailers with small suppliers and for strengthening the competitive response of the unorganized retailers.Retail Sector, Organised Retail, Unorganised Retail, Kirana store, Food Supply Chain
A physical database model
No full text214 leaves ; 30 cm. Includes bibliographical references. University of Otago department: Information Science. "December 2004".A good database design brings total attention to data. Data have been recognized as a valuable resource, resulting in an increased use of database systems. A wide variety of models and techniques are available to aid in system development at the analysis and logical stage. Once the system is defined at the logical stage, many other decisions have to be made to define the construction, operation and maintenance of the database system at the physical stage.
Database design whether physical or logical is the process of determining the organization of a database. The concept of logical and conceptual modelling has been widely researched. However, few researchers seem to have considered physical modelling explicitly. Physical modelling is the conversion of a logical model to a physical model that will be suitable for a specific system with its own hardware configuration (Batini, Ceri et al. 1990).
The objective of this thesis is to propose a physical database modelling technique that will demonstrate a join between logical and physical design to improve the performance of a database system using physical tuning techniques. It will annotate an entity model with physical detail that will provide a framework for building a physical model.
To substantiate the relevance of the physical database model, the author looks at the physical storage structures in a database system and other physical database models that have been previously developed.
This thesis will use a moderately realistic database system case study. The case study is used as an example for interpreting possible physical problem areas in a "real" database system. The aim will be to model and optimise the physical design of the discussed case study.UnpublishedAmbler, S. W. (2002). Agile Data, Agile Modelling. 2003.
Batini, Ceri, et al. (1990). Entity Modelling, Publishing Company Inc.
Batory, D. S. (1985). "Modelling the Storage Architectures of Commercial
Database Systems." ACM Transactions on Database Systems 10(4): 463-528.
Beynon-Davies, P. (1992). "Using an entity model to drive physical database
design." Information and Software Technology 34(12/1992): 805-813.
Beynon-Davies, P. (1996). Database Systems, Macmillan, USA
Campbell, D. (1992). "Entity-Relationship Modelling: One Style Suits All?"
DATABASE.23(3):12-18
Chan and Lochovsky (1980). Entity-Relationship Approach: The use of ER
concept in knowledge representation. Edited by P. P. Chen.
Chanchani, N. Understanding Clustering. Developer EIB,www.ejbsamples.com
Last accessed date 14/08/2004.
Connoly, T. and C. Begg (2002). Database Systems- A practical approach to
design, implementation and Management, Addison-Wesley.
Corey, M. J. and Abbey (1997). ORACLE data warehousing - A practical guide to
successful data warehouse analysis, build, roll-out, Osborne McGraw-Hill.
Coronel, R. Database Systems - Design, Implementation & Management,
Thomson Learning.
Date, C. J. (1995). An Introduction to Database Systems, 2nd Edition, Addison
Wesley Publishing Company.
D'Orazio, R. and G. Happel (1996). Practical Data Modelling for Database
Design- The IT Series, John Wiley & Sons.
Feldman, P. and D. Miller (1986). "Entity Model Clustering: Structuring A Data
Model By Abstraction." The Computer Journal 29(4).Pages 348-360
Cane and Sarson (1978) Structured System Analysis: Tools and Techniques.
Prentice Hall
Gillenson, M. L. (1990). " Physical Design Equivalences in Database Conversion."
Communications of the ACM 33(8).Pages 120-131
Kaminski, D. M. (1985). "Query Processing Optimisation Strategies: Possible vs.
Optimal Solutions." ACM Transactions on Database Systems Volume 85 pg 449-
456.
Knuth, D. E. (1973). The Art of Computer Programming - Sorting and
Searching, Addison Wesley.
McFadden, F. R. and J. A. Hoffer (1991). Modern Database Management, The
Benjamin/Cummings Publishing Company Inc.
Naiburg and Maksimchuk (2001) referenced from Agile Modeling. 2003.
O'Neil, P. (1994). Database- Design, Principles And Programming, Morgan
Kaufmann.
O'Neil, P. and E. O'Neil (1994). Database Principles, Programming and
Performance, Morgan Kaufmann Publishers.
Powell, J. D. and D. P. Tiliman(1979) "Automating the development of a
conceptual schema." ACM Transactions on Database Systems pg 98-105
Robinson, K. A. (1979). "An entity/event data modelling method." The Computer
Journal 22(3) pg 270-271.
Roti, S. (1996). Indexing and Access Mechanism. DBMS pg 65-68.
Severance, D. G. and A. G. Merten (1986). "Performance Evaluation of File
Organizations through Modeling." ACM Transactions on Database Systems
pg 543-545
Silberschatz(1999). "Database Systems and Concepts" Fifth Edition
Spiegler, I. and D. Widder (1993). "Physical Database Design: A Decision Support
Model." DATABASE pg 5-11.
Stanger, N. (2001). BDL Electronics.Case study for paper INFO 321 (Database
Systems), Department of Information Science, University of Otago
Teorey, T. J. and J. P. Fry (1982). Design of Database Structures, New Jersey,
Prentice Hall.
Tewari, R. (1990). "Expert Design Tools for Physical Database Design." ACM
Transactions on Database Systems pg 538-549.
Tufte, E. (1997). Visual Explanations, Images & Quantities, Evidence & Narrative,
Graphics Press.
Tufte, E. R. (1998). Envisioning Information, Graphics Press.
Wiederhold (1993). "Physical Database Design (DDMS)." ACM Transactions on
Database Systems pg 657-659.
Willits, J. (1992). Database Design & Construction - an open learning course for
students and information managers, Library Association Publishing, London
A physical database model
No full text214 leaves ; 30 cm. Includes bibliographical references. University of Otago department: Information Science. "December 2004".A good database design brings total attention to data. Data have been recognized as a valuable resource, resulting in an increased use of database systems. A wide variety of models and techniques are available to aid in system development at the analysis and logical stage. Once the system is defined at the logical stage, many other decisions have to be made to define the construction, operation and maintenance of the database system at the physical stage.
Database design whether physical or logical is the process of determining the organization of a database. The concept of logical and conceptual modelling has been widely researched. However, few researchers seem to have considered physical modelling explicitly. Physical modelling is the conversion of a logical model to a physical model that will be suitable for a specific system with its own hardware configuration (Batini, Ceri et al. 1990).
The objective of this thesis is to propose a physical database modelling technique that will demonstrate a join between logical and physical design to improve the performance of a database system using physical tuning techniques. It will annotate an entity model with physical detail that will provide a framework for building a physical model.
To substantiate the relevance of the physical database model, the author looks at the physical storage structures in a database system and other physical database models that have been previously developed.
This thesis will use a moderately realistic database system case study. The case study is used as an example for interpreting possible physical problem areas in a "real" database system. The aim will be to model and optimise the physical design of the discussed case study.UnpublishedAmbler, S. W. (2002). Agile Data, Agile Modelling. 2003.
Batini, Ceri, et al. (1990). Entity Modelling, Publishing Company Inc.
Batory, D. S. (1985). "Modelling the Storage Architectures of Commercial
Database Systems." ACM Transactions on Database Systems 10(4): 463-528.
Beynon-Davies, P. (1992). "Using an entity model to drive physical database
design." Information and Software Technology 34(12/1992): 805-813.
Beynon-Davies, P. (1996). Database Systems, Macmillan, USA
Campbell, D. (1992). "Entity-Relationship Modelling: One Style Suits All?"
DATABASE.23(3):12-18
Chan and Lochovsky (1980). Entity-Relationship Approach: The use of ER
concept in knowledge representation. Edited by P. P. Chen.
Chanchani, N. Understanding Clustering. Developer EIB,www.ejbsamples.com
Last accessed date 14/08/2004.
Connoly, T. and C. Begg (2002). Database Systems- A practical approach to
design, implementation and Management, Addison-Wesley.
Corey, M. J. and Abbey (1997). ORACLE data warehousing - A practical guide to
successful data warehouse analysis, build, roll-out, Osborne McGraw-Hill.
Coronel, R. Database Systems - Design, Implementation & Management,
Thomson Learning.
Date, C. J. (1995). An Introduction to Database Systems, 2nd Edition, Addison
Wesley Publishing Company.
D'Orazio, R. and G. Happel (1996). Practical Data Modelling for Database
Design- The IT Series, John Wiley & Sons.
Feldman, P. and D. Miller (1986). "Entity Model Clustering: Structuring A Data
Model By Abstraction." The Computer Journal 29(4).Pages 348-360
Cane and Sarson (1978) Structured System Analysis: Tools and Techniques.
Prentice Hall
Gillenson, M. L. (1990). " Physical Design Equivalences in Database Conversion."
Communications of the ACM 33(8).Pages 120-131
Kaminski, D. M. (1985). "Query Processing Optimisation Strategies: Possible vs.
Optimal Solutions." ACM Transactions on Database Systems Volume 85 pg 449-
456.
Knuth, D. E. (1973). The Art of Computer Programming - Sorting and
Searching, Addison Wesley.
McFadden, F. R. and J. A. Hoffer (1991). Modern Database Management, The
Benjamin/Cummings Publishing Company Inc.
Naiburg and Maksimchuk (2001) referenced from Agile Modeling. 2003.
O'Neil, P. (1994). Database- Design, Principles And Programming, Morgan
Kaufmann.
O'Neil, P. and E. O'Neil (1994). Database Principles, Programming and
Performance, Morgan Kaufmann Publishers.
Powell, J. D. and D. P. Tiliman(1979) "Automating the development of a
conceptual schema." ACM Transactions on Database Systems pg 98-105
Robinson, K. A. (1979). "An entity/event data modelling method." The Computer
Journal 22(3) pg 270-271.
Roti, S. (1996). Indexing and Access Mechanism. DBMS pg 65-68.
Severance, D. G. and A. G. Merten (1986). "Performance Evaluation of File
Organizations through Modeling." ACM Transactions on Database Systems
pg 543-545
Silberschatz(1999). "Database Systems and Concepts" Fifth Edition
Spiegler, I. and D. Widder (1993). "Physical Database Design: A Decision Support
Model." DATABASE pg 5-11.
Stanger, N. (2001). BDL Electronics.Case study for paper INFO 321 (Database
Systems), Department of Information Science, University of Otago
Teorey, T. J. and J. P. Fry (1982). Design of Database Structures, New Jersey,
Prentice Hall.
Tewari, R. (1990). "Expert Design Tools for Physical Database Design." ACM
Transactions on Database Systems pg 538-549.
Tufte, E. (1997). Visual Explanations, Images & Quantities, Evidence & Narrative,
Graphics Press.
Tufte, E. R. (1998). Envisioning Information, Graphics Press.
Wiederhold (1993). "Physical Database Design (DDMS)." ACM Transactions on
Database Systems pg 657-659.
Willits, J. (1992). Database Design & Construction - an open learning course for
students and information managers, Library Association Publishing, London
Using multiple representations within a viewpoint
No full textThere are many different types of information to be considered when designing an information system, and a wide variety of modelling approaches and notations (or representations) have been developed to describe these different types of information. Some types of information are better expressed by some representations than others, so it is sensible to use multiple representations to describe a real-world phenomenon. Reconciling and integrating descriptions expressed using different representations is therefore an important part of the design process.
The objective of this research is to aid this reconciliation and integration within the context of information systems design. That is, to facilitate the use of multiple modelling representations for describing a phenomenon. To achieve this objective, the author has chosen an approach based upon translating descriptions of a phenomenon between different representations.
This thesis provides several important contributions in the area of information system design using multiple representations. Related work in the area is reviewed, and from this review is derived a terminology based on viewpoint-oriented methods that provides a consistent framework for the discussion of multiple representations.
Previous research into the use of multiple representations has focused on semantic data models. This is extended in this thesis to include diverse modelling representations such as functional dependencies and data flow modelling.
The process of translating between different representations is explored in depth, and several important issues identified. Translations are defined by a collection of rules that specify the mappings between constructs of representations. An abstract notation is developed for expressing these translations, and an extended version of Amor’s (1997) View Mapping Language is defined for the purpose of building detailed rule specifications.
Heuristics and enrichment are proposed as two methods of improving the quality of translations. A measure for determining the relative quality of translations is developed to show that heuristics do indeed enhance translation quality.
In addition, a method is developed for using translations to highlight potential design inconsistencies by translating descriptions expressed using different representations into the same form and comparing them.UnpublishedAbiteboul, S. and Hull, R. (1987). IFO: A formal semantic database model, ACM Transactions on Database Systems 12(4): 525–565.
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Using multiple representations within a viewpoint
No full textThere are many different types of information to be considered when designing an information system, and a wide variety of modelling approaches and notations (or representations) have been developed to describe these different types of information. Some types of information are better expressed by some representations than others, so it is sensible to use multiple representations to describe a real-world phenomenon. Reconciling and integrating descriptions expressed using different representations is therefore an important part of the design process.
The objective of this research is to aid this reconciliation and integration within the context of information systems design. That is, to facilitate the use of multiple modelling representations for describing a phenomenon. To achieve this objective, the author has chosen an approach based upon translating descriptions of a phenomenon between different representations.
This thesis provides several important contributions in the area of information system design using multiple representations. Related work in the area is reviewed, and from this review is derived a terminology based on viewpoint-oriented methods that provides a consistent framework for the discussion of multiple representations.
Previous research into the use of multiple representations has focused on semantic data models. This is extended in this thesis to include diverse modelling representations such as functional dependencies and data flow modelling.
The process of translating between different representations is explored in depth, and several important issues identified. Translations are defined by a collection of rules that specify the mappings between constructs of representations. An abstract notation is developed for expressing these translations, and an extended version of Amor’s (1997) View Mapping Language is defined for the purpose of building detailed rule specifications.
Heuristics and enrichment are proposed as two methods of improving the quality of translations. A measure for determining the relative quality of translations is developed to show that heuristics do indeed enhance translation quality.
In addition, a method is developed for using translations to highlight potential design inconsistencies by translating descriptions expressed using different representations into the same form and comparing them.UnpublishedAbiteboul, S. and Hull, R. (1987). IFO: A formal semantic database model, ACM Transactions on Database Systems 12(4): 525–565.
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