• Research in Mathematical Education
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• v.22 no.4
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• pp.261-282
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• 2019

The research related to testing pupils' achievement in the field of Measurement and Measure in initial teaching of geometry points to an insufficient adoption of the basic components of the length measurement concept among pupils. In order to discover the cause, we looked at the basic components on which the procedure of measuring length using a ruler is based, highlighted the possibilities of introducing the procedure in measuring length, and determined pupils' achievement during the procedure of measuring length using a ruler. The research sample consisted of 145 pupils, out of which 72 were the 2^nd grade pupils and 73 were the 4^th grade pupils. A descriptive method was applied in the research. The technique we used was testing, and for the statistical data processing we used a χ² test. The results of the research show that, when drawing a straight line of a given length using a ruler, there is no statistical difference in achievement between the 2^nd and 4^th grade pupils, nor in the pupils' knowledge regarding drawing a ruler independently, while drawing a straight line of a given length using a "broken" ruler 4^th grade pupils are statistically better. The results of the research indicate that pupils' achievement is better in doing standard tasks than in non-standard ones, given that the latter require conceptual knowledge. The components of the concept of length measurement using ruler have not been sufficiently developed yet, and these include: zero-point, partitioning a measured object in a series of consecutive measurement units and their iteration. We shed more light on the critical stage in the procedure of length measurement - the transition from non-standard to standard units and the formation of the length measurement scale. For further research, we propose to look at the formation of the concept of length measurement using the ruler through all its components and their inclusion in the mathematics curriculum, as well as examining the correlation of pupils' achievement in the procedure of measuring length with their achievement in measuring area (and volume).

• Knowledge Management Research
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• v.20 no.2
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.484-491
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• 2022

A paradigm shift in teaching modular construction in higher education and K-12 is proposed as a means to increase the future adoption of the modular construction technique. To this effect, a new education module is presented to STEM educators. This education module is based on LEGOs and directed towards educators in the architecture, engineering, and construction (AEC) industry. The main objectives of the education module are to increase interest and knowledge of modular construction, acknowledge the benefits of using 3D design with 4D scheduling, and create a simulating hands-on educational opportunity. The education module is designed to allow participants to experience a hands-on simulation of modular construction and stick-built construction through building a LEGO project. Participants are challenged to find the advantages and disadvantages in both construction systems first-hand and record their findings. Results are presented from the preliminary testing of this education model on a group of construction management students at the University of Nevada, Las Vegas. Overall, the survey results showed that the LEGO education module was successful at achieving the project's three main objectives: 1) increasing the participants' interest and knowledge of modular construction through an interactive project; 2) increasing the participants' understanding of the benefits of 3D design with 4D scheduling over the use of 2D drawings; and 3) creating a simulating hands-on educational opportunity to help participants compare modular construction to stick-built construction. In the end, this proposed a new LEGO education module addressing the problems identified from this study with more participants.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.1
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• pp.27-41
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• 2023

The outbreak of the corona virus diseases (COVID-19) in the late 2019 has affected all facets of educational system including library and information services. Reference services, an important aspect of library services are not exempted from this impact. This study therefore, investigated the impact of COVI\D-19 pandemic on the use of reference services and sources by postgraduate students using Kenneth Dike Library (KDL), University of Ibadan, as a case study. Using descriptive survey of correlational type, the study adopted the use of structured questionnaire to randomly select three hundred (300) postgraduate users of reference sources and services in KDL using online survey monkey. Of the three hundred (300) copies, two hundred and twenty three (223) copies, repre- senting 74.3% were retrieved and used for analysis. Findings revealed that, in spite of COVID-19 pandemic, most postgraduate students used Current Awareness Services (203, 91.0%, mean = 3.19), Reference Sources (202, 90.5%, mean = 3.18) and On-line Public Access Catalogue (195, 87.4%, mean = 3.13); low frequency of bibliotherapy (mean=2.22), Reader's Advisory services (mean=2.30) and inter-library loan (mean=2.13) and that COVID-19 pandemic had high impact on post- graduate students' use of reference services in Kenneth Dike Library, University of Ibadan. Based on the findings, recommendations were made that library management should consider the adoption of virtual reference services (VRS) in addition to the conventional mode of refer- ence services to enhance patronage in the COVID-19 era. The library users should also be trained on how to take advantage of the COVID-19 pandemic to learn new skills in the digital space that will eventually optimize the usage of the library remotely.

• Knowledge Management Research
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• v.24 no.3
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• pp.127-148
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• 2023

Traditional Business Intelligence environment is limited to support the rapidly changing businesses and the exponential growth of data in both volume and complexity of data. Companies should shift their business intelligence environment into Self-Service Business Intelligence (SSBI) environment in order to make smarter and faster decisions. However, firms seem to face various challenges in implementing and leveraging the effective business intelligence system, and academics do not provide sufficient studies related including the success factors of SSBI. This study analyzes the three cases of Korean companies in depth, their development process and the assessment of business intelligence, based on the theoretical model on the key success factors of business intelligence systems. The comparative analysis of the three cases including project managers' interviews and performance evaluations provide rich implications for the successful adoption and the use of business intelligence systems of firms. The study is expected to provide useful references for firms to fully leverage the effects of business intelligence systems and upgrade towards self-service business intelligence systems.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.81-88
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• 2024

Despite the rapid growth of the generative AI market and significant interest from domestic companies and institutions, concerns about the provision of inaccurate information and potential information leaks have emerged as major factors hindering the adoption of generative AI. To address these issues, this paper designs and implements a question-answering system based on the Retrieval-Augmented Generation (RAG) architecture. The proposed method constructs a knowledge database using Korean sentence embeddings and retrieves information relevant to queries through optimized searches, which is then provided to the generative language model. Additionally, it allows users to directly manage the knowledge database to efficiently update changing business information, and it is designed to operate in a private network to reduce the risk of corporate confidential information leakage. This study aims to serve as a useful reference for domestic companies seeking to adopt and utilize generative AI.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.4
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• pp.27-38
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• 2023

The study investigated the Integration of Information and Communication Technology (ICT) to the Library and Information Science Curriculum: The Practicum in Library Schools in Rivers State. Descriptive survey design was used with a population 374 comprising 21 LIS educators and 353 Four Hundred Level Library and Information Science Students from University of Port Harcourt, Rivers State University, Port Harcourt, and Ignatius Ajuru University of Education Port Harcourt. Census sampling technique was used to select the LIS educators and purposive sampling technique was used to the select the Four Hundred Level LIS students. Questionnaire and checklist were used for data collection. 90% and 97% responses were found valid for analysis for LIS Educators and LIS students respectively. The study was analyzed using mean rating, standard deviation and simple percentage. The study revealed that ICT courses were integrated into LIS curriculum in Library schools in Rivers State but LIS educators lacked the ICT skills to teach ICT practicum consequently, the students were not properly taught ICT practicum. However, students had positive perception of ICT practicum. Notwithstanding, lack of ICT skills, poor policy implementation, lack of state-of-the-art infrastructure and nonchalant attitudes of staff towards the adoption of ICT constituted the challenges faced in the implementation of ICT practicum. The study therefore, recommended that the management of library schools in Rivers State should implement ICT practicum by hiring competent staff maybe from computers science department to teach the practicum for the interim. Subsequently, recruitment of librarians should include strictly ICT compliant.

• Knowledge Management Research
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• v.22 no.1
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• pp.39-56
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• 2021

In the current knowledge society, mobile devices have become a useful tool for performing work. In the context of COVID-19 which has made digital transformation inevitable, the importance of mobile work behaviors - performing work tasks through mobile devices - is further highlighted. Drawing from the behavioral immune system theory and cognitive appraisal theory of emotions, this study proposes that individual workers' concern about getting infected by COVID-19 will be negatively related to job satisfaction but positively related to mobile work behaviors. We further propose that leaders' communality and agency trait will be positively related to both job satisfaction and the increase of mobile work behaviors. Analyses of a matched dataset comprising survey data and mobile application usage data from 407 workers showed that their leaders' agency and communality were significantly related to the workers' job satisfaction. However, their mobile productivity was significantly related only to the communality of their leaders. The results of this study will provide useful theoretical and practical implications for researchers and managers who aim to understand and promote the technology adoption and knowledge productivity of workers in a pandemic situation.

• Safety and Health at Work
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• v.3 no.1
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• pp.1-10
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• 2012

The aim of this review was to assess current knowledge related to the occupational exposure limit (OEL) for fluid aerosols including either mineral or chemical oil that are generated in metalworking operations, and to discuss whether their OEL can be appropriately used to prevent several health risks that may vary among metalworking fluid (MWF) types. The OEL (time-weighted average; 5 mg/$m^3$, short-term exposure limit ; 15 mg/$m^3$) has been applied to MWF aerosols without consideration of different fluid aerosol-size fractions. The OEL, is also based on the assumption that there are no significant differences in risk among fluid types, which may be contentious. Particularly, the health risks from exposure to water-soluble fluids may not have been sufficiently considered. Although adoption of The National Institute for Occupational Safety and Health's recommended exposure limit for MWF aerosol (0.5 mg/$m^3$ ) would be an effective step towards minimizing and evaluating the upper respiratory irritation that may be caused by neat or diluted MWF, this would fail to address the hazards (e.g., asthma and hypersensitivity pneumonitis) caused by microbial contaminants generated only by the use of water-soluble fluids. The absence of an OEL for the water-soluble fluids used in approximately 80-90 % of all applicants may result in limitations of the protection from health risks caused by exposure to those fluids.

• JSTS:Journal of Semiconductor Technology and Science
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• v.9 no.4
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• pp.240-248
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• 2009

Moore's law has driven silicon technology scale down aggressively, and it results in significant increase of leakage current on nano-meter scale CMOS. Especially, in mobile devices, leakage current has been one of designers' main concerns, and thus many studies have introduced low power methodologies. However, there are few studies to minimize implementation cost in the mixed use of the methodologies to the best of our knowledge. In this paper, we introduce industrial applications of low power design methodologies for the decrease of leakage current. We focus on the design cost reduction of power gating and reverse body bias when used together. Also, we present voltage scale as an alternative to reverse body bias. To sustain gate leakage current, we discuss the adoption of high-$\kappa$ metal gate, which cuts gate leakage current by a factor of 10 in 32 nm CMOS technology. A 45 nm mobile SoC is shown as the case study of the mixed use of low power methodologies.