Porferio Almerino Jr., Marilou Martinez, Rogelio Sala Jr., Kent N. Maningo, Lourdes Garciano, Christine Catyong, Marvin Guinocor, Gerly A. Alcantara, John de Vera, Veronica Calasang, Randy Mangubat, Larry Peconcillo Jr., Emerson Peteros, Charldy Wenceslao, Rica Villarosa, L. Ocampo
Identifying the primary factors of teaching quality remains a pivotal agenda for informed decision making, strategic planning, and resource allocation. This study builds upon ten key factors derived from previous research and recognizes the inherent complexity within their relationships. Emphasizing the necessity for a structured model, this work employs an interpretive structural modelling (ISM) approach and Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis for constructing a hierarchical model that delineates the interrelationships among the factors influencing teaching quality. The findings indicate the substantial impact of intrinsic factors, particularly teachers' individual and psychological characteristics, on other factors. Additionally, our analysis highlights the critical role of student composition in enhancing overall teaching quality. These insights significantly contribute to the literature by offering valuable guidance to decision makers for maintaining teaching quality within higher education institutions.
确定教学质量的主要因素仍然是知情决策、战略规划和资源分配的关键议程。本研究以先前研究得出的十个关键因素为基础，并认识到这些因素之间关系的内在复杂性。本研究强调结构化模型的必要性，采用了解释性结构建模（ISM）方法和 Matrice d'impacts croisés multiplication appliquée á un classment（MICMAC）分析法，构建了一个层次模型，勾勒出影响教学质量的各因素之间的相互关系。研究结果表明，内在因素，特别是教师的个人和心理特征，对其他因素产生了重大影响。此外，我们的分析还强调了学生构成对提高整体教学质量的关键作用。这些见解为高等教育机构的决策者提供了保持教学质量的宝贵指导，从而对相关文献做出了重要贡献。
{"title":"Constructing an Interpretive Structural Model to Unravel the Interconnected Drivers of Teaching Quality in Higher Education","authors":"Porferio Almerino Jr., Marilou Martinez, Rogelio Sala Jr., Kent N. Maningo, Lourdes Garciano, Christine Catyong, Marvin Guinocor, Gerly A. Alcantara, John de Vera, Veronica Calasang, Randy Mangubat, Larry Peconcillo Jr., Emerson Peteros, Charldy Wenceslao, Rica Villarosa, L. Ocampo","doi":"10.4018/ijkss.339564","DOIUrl":"https://doi.org/10.4018/ijkss.339564","url":null,"abstract":"Identifying the primary factors of teaching quality remains a pivotal agenda for informed decision making, strategic planning, and resource allocation. This study builds upon ten key factors derived from previous research and recognizes the inherent complexity within their relationships. Emphasizing the necessity for a structured model, this work employs an interpretive structural modelling (ISM) approach and Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis for constructing a hierarchical model that delineates the interrelationships among the factors influencing teaching quality. The findings indicate the substantial impact of intrinsic factors, particularly teachers' individual and psychological characteristics, on other factors. Additionally, our analysis highlights the critical role of student composition in enhancing overall teaching quality. These insights significantly contribute to the literature by offering valuable guidance to decision makers for maintaining teaching quality within higher education institutions.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140430183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Waranyoo Thippo, Chorkaew Jaturanonda, Sorawit Yaovasuwanchai, C. Khompatraporn, T. Wuttipornpun, K. Meksawan
This article presents a non-linear multi-objective optimization model with four different objectives for manual rice seed harvesting, aiming to ensure members' fairness and mutual benefits for a group of rice field owners responsible for seed planting and a group of workers tasked with harvesting rice seeds. The harvesting plan primarily focuses on minimizing the average injury risk to workers and secondarily balances this risk among workers. Simultaneously, the model seeks to minimize and equitably allocate wage costs for rice field owners. Worker characteristics, including age, gender, and body mass index are considered to influence injury risk differentially. The optimal solution involves rotating workers to different rice stalk types in several fields, all within appropriate work and rest periods. This approach serves to prevent musculoskeletal disorders and fatigue among the workers while helping rice field owners reduce their costs. This collaborative planning has the potential to enhance sustainability within the farming community.
{"title":"Multi-Objective Job Rotation in Rice Seed Harvesting With Equitable Injury Risk and Cost Allocation","authors":"Waranyoo Thippo, Chorkaew Jaturanonda, Sorawit Yaovasuwanchai, C. Khompatraporn, T. Wuttipornpun, K. Meksawan","doi":"10.4018/ijkss.334124","DOIUrl":"https://doi.org/10.4018/ijkss.334124","url":null,"abstract":"This article presents a non-linear multi-objective optimization model with four different objectives for manual rice seed harvesting, aiming to ensure members' fairness and mutual benefits for a group of rice field owners responsible for seed planting and a group of workers tasked with harvesting rice seeds. The harvesting plan primarily focuses on minimizing the average injury risk to workers and secondarily balances this risk among workers. Simultaneously, the model seeks to minimize and equitably allocate wage costs for rice field owners. Worker characteristics, including age, gender, and body mass index are considered to influence injury risk differentially. The optimal solution involves rotating workers to different rice stalk types in several fields, all within appropriate work and rest periods. This approach serves to prevent musculoskeletal disorders and fatigue among the workers while helping rice field owners reduce their costs. This collaborative planning has the potential to enhance sustainability within the farming community.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139219965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Piyanee Akkawuttiwanich, P. Yenradee, Narudh Cheramakara
This study focuses on the impact of the Covid-19 crisis on low-cost carriers (LCCs), particularly in comparison to full-service airlines (FSAs). With a target segment of price-sensitive leisure travelers, LCCs have been significantly affected. The objective of this paper is to analyze customer requirements for Thai LCCs during the Covid-19 recovery period and identify strategic improvement decisions accordingly. Nok Air, a well-established LCC in Thailand, is used as a case study. The proposed fuzzy QFD approach is employed to prioritize customer requirements, suggest strategic decisions, and enhance operational practices for the airline's recovery. Key findings include positioning as a premium LCC, offering premium services, increasing ancillary revenue, and improving aircraft utilization. This research is the first to apply fuzzy QFD to prioritize strategic decisions for managing LCCs during the Covid-19 recovery, aiming to enhance customer satisfaction and performance ratings set by the management team.
本研究的重点是 Covid-19 危机对低成本航空公司（LCC）的影响，尤其是与全服务航空公司（FSA）相比。低成本航空公司的目标客群是对价格敏感的休闲旅客，因此受到了很大影响。本文旨在分析泰国 LCC 在 Covid-19 恢复期间的客户需求，并据此确定战略改进决策。本文以泰国老牌 LCC Nok Air 为案例进行研究。采用所提出的模糊 QFD 方法对客户需求进行优先排序，提出战略决策建议，并加强运营实践，以促进航空公司的复苏。主要发现包括定位为优质 LCC、提供优质服务、增加辅助收入和提高飞机利用率。这项研究首次应用模糊 QFD 方法为 Covid-19 恢复期间的 LCC 管理战略决策确定优先次序，旨在提高客户满意度和管理团队设定的绩效评级。
{"title":"Fuzzy QFD for LCC Strategic Decisions in Thailand","authors":"Piyanee Akkawuttiwanich, P. Yenradee, Narudh Cheramakara","doi":"10.4018/ijkss.333900","DOIUrl":"https://doi.org/10.4018/ijkss.333900","url":null,"abstract":"This study focuses on the impact of the Covid-19 crisis on low-cost carriers (LCCs), particularly in comparison to full-service airlines (FSAs). With a target segment of price-sensitive leisure travelers, LCCs have been significantly affected. The objective of this paper is to analyze customer requirements for Thai LCCs during the Covid-19 recovery period and identify strategic improvement decisions accordingly. Nok Air, a well-established LCC in Thailand, is used as a case study. The proposed fuzzy QFD approach is employed to prioritize customer requirements, suggest strategic decisions, and enhance operational practices for the airline's recovery. Key findings include positioning as a premium LCC, offering premium services, increasing ancillary revenue, and improving aircraft utilization. This research is the first to apply fuzzy QFD to prioritize strategic decisions for managing LCCs during the Covid-19 recovery, aiming to enhance customer satisfaction and performance ratings set by the management team.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139251082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a market basket analysis of a health food store in Thailand. The analysis identifies data attributes that frequently occur together in the dataset. Frequent occurrences of data attributes representing customer purchasing behaviors are extracted as association rules using the frequent pattern growth algorithm. The generated associations are evaluated using standard measures based on occurrence counts and an additional financial measure. Marketing strategies in the form of cross-selling pairs of specific products are then designed based on the data attributes appearing in the significant associations. The cross-selling products are offered at discounted prices and promoted in marketing campaigns. A break-even analysis is performed to estimate the required number of additional sales volumes from each marketing campaign to compensate for the discounted prices. The presented use case demonstrates the effectiveness of extending the market basket analysis to include a financial measure that can lead to practical marketing campaigns.
{"title":"Market Basket Analysis of a Health Food Store in Thailand","authors":"Kanokwan Singha, Parthana Parthanadee, Ajchara Kessuvan, Jirachai Buddhakulsomsiri","doi":"10.4018/ijkss.333617","DOIUrl":"https://doi.org/10.4018/ijkss.333617","url":null,"abstract":"This article presents a market basket analysis of a health food store in Thailand. The analysis identifies data attributes that frequently occur together in the dataset. Frequent occurrences of data attributes representing customer purchasing behaviors are extracted as association rules using the frequent pattern growth algorithm. The generated associations are evaluated using standard measures based on occurrence counts and an additional financial measure. Marketing strategies in the form of cross-selling pairs of specific products are then designed based on the data attributes appearing in the significant associations. The cross-selling products are offered at discounted prices and promoted in marketing campaigns. A break-even analysis is performed to estimate the required number of additional sales volumes from each marketing campaign to compensate for the discounted prices. The presented use case demonstrates the effectiveness of extending the market basket analysis to include a financial measure that can lead to practical marketing campaigns.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135136479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on speech recognition in general as well as speech recognition in Vietnamese, an under-resourced language in particular. Then, it specifies the urgent issues that need current research attention to build Vietnamese speech recognition applications in practice, especially the need to build an open large sentence-labeled speech corpus and open platform for related research, which mostly benefits small individuals/organizations who do not have enough resources.
{"title":"A Review on Speech Recognition for Under-Resourced Languages","authors":"Trung-Nghia Phung, Duc-Binh Nguyen, Ngoc-Phuong Pham","doi":"10.4018/ijkss.332869","DOIUrl":"https://doi.org/10.4018/ijkss.332869","url":null,"abstract":"Fundamental speech recognition technologies for high-resourced languages are currently successful to build high-quality applications with the use of deep learning models. However, the problem of “borrowing” these speech recognition technologies for under-resourced languages like Vietnamese still has challenges. This study reviews fundamental studies on speech recognition in general as well as speech recognition in Vietnamese, an under-resourced language in particular. Then, it specifies the urgent issues that need current research attention to build Vietnamese speech recognition applications in practice, especially the need to build an open large sentence-labeled speech corpus and open platform for related research, which mostly benefits small individuals/organizations who do not have enough resources.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136311692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the turbulent environment of the current business world, making professional judgment and maintaining professional ethics is an essential requirement in the auditing profession. Besides technical and professional knowledge, the personal information of each individual auditor could affect the process of making judgments and maintaining the ethics of the auditor. This study aims to analyze the influences of auditor's personal information on professional judgment and ethics in external auditing process. The authors designed a survey and analyzed the responses, applied a linear regression model, and performed a t-test to measure the model. They found that the auditors who obtain the ACCA or CPA tend to use their professional judgment in the planning phase. Interestingly, the CPA certificate is a nearly significant factor affecting the professional judgment in the planning phase. For the ethics, the auditors who have an MBA degree tend to use ethical thinking in the planning phase. Surprisingly, only the auditors who are managers tend to use ethical thinking in the concluding and reporting phase.
{"title":"The Effect of Auditor's Personal Characteristics on Professional Judgment and Ethics in Auditing","authors":"Hoang To Loan Nguyen","doi":"10.4018/ijkss.329241","DOIUrl":"https://doi.org/10.4018/ijkss.329241","url":null,"abstract":"In the turbulent environment of the current business world, making professional judgment and maintaining professional ethics is an essential requirement in the auditing profession. Besides technical and professional knowledge, the personal information of each individual auditor could affect the process of making judgments and maintaining the ethics of the auditor. This study aims to analyze the influences of auditor's personal information on professional judgment and ethics in external auditing process. The authors designed a survey and analyzed the responses, applied a linear regression model, and performed a t-test to measure the model. They found that the auditors who obtain the ACCA or CPA tend to use their professional judgment in the planning phase. Interestingly, the CPA certificate is a nearly significant factor affecting the professional judgment in the planning phase. For the ethics, the auditors who have an MBA degree tend to use ethical thinking in the planning phase. Surprisingly, only the auditors who are managers tend to use ethical thinking in the concluding and reporting phase.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43816567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Phattaraporn Kalaya, P. Termsuksawad, Thananya Wasusri
Medicine inventory in hospitals always faces either shortages or expired medication problems due to irregular demand. This work proposes three management approaches and compares their performances, including the Croston method, a combination of exponential and Poisson distribution (EPD), and the average inter-demand interval combined with average demand (AAD) were studied with the order-up-to-level policy. The exponentially weighted moving average (EWMA) control chart was used with some forecasting methods. Service level and average inventory were used to evaluate the performance of each approach. The study showed that the service level of each approach depended on the demand pattern characteristics. When the variance of demand and average demand were very high, the highest service level was found from the AAD with the EWMA approach. The Croston method was found more effective when the demand variability was relatively low, and demand appeared occasionally. Applying the EWMA increased the average inventory and service level when the AAD method was used.
{"title":"Forecasting and Inventory Planning for Irregular Demand Patterns","authors":"Phattaraporn Kalaya, P. Termsuksawad, Thananya Wasusri","doi":"10.4018/ijkss.328678","DOIUrl":"https://doi.org/10.4018/ijkss.328678","url":null,"abstract":"Medicine inventory in hospitals always faces either shortages or expired medication problems due to irregular demand. This work proposes three management approaches and compares their performances, including the Croston method, a combination of exponential and Poisson distribution (EPD), and the average inter-demand interval combined with average demand (AAD) were studied with the order-up-to-level policy. The exponentially weighted moving average (EWMA) control chart was used with some forecasting methods. Service level and average inventory were used to evaluate the performance of each approach. The study showed that the service level of each approach depended on the demand pattern characteristics. When the variance of demand and average demand were very high, the highest service level was found from the AAD with the EWMA approach. The Croston method was found more effective when the demand variability was relatively low, and demand appeared occasionally. Applying the EWMA increased the average inventory and service level when the AAD method was used.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48653532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digital innovation hubs are of utmost importance when they sustain cooperation in innovative technological domains like the cyber-physical system. In this paper, the authors introduce, in the first part, a DIH ontology that they extend (1) with network and (2) with CPS entities. For this, they remind the questions that the ontology must answer, deploy the methodology proposed by Noy and McGuinness to identify the classes and the associations between classes, and integrate the new CPS ontological extensions. In the second part, they implement the full innovative DIH4CPS ontology within Protégé, and they instantiate it to a real company.
{"title":"Towards a Multidimensional Ontology Model for DIH-Based Organisations","authors":"C. Feltus, D. Nicolas, D. Khadraoui","doi":"10.4018/ijkss.326764","DOIUrl":"https://doi.org/10.4018/ijkss.326764","url":null,"abstract":"Digital innovation hubs are of utmost importance when they sustain cooperation in innovative technological domains like the cyber-physical system. In this paper, the authors introduce, in the first part, a DIH ontology that they extend (1) with network and (2) with CPS entities. For this, they remind the questions that the ontology must answer, deploy the methodology proposed by Noy and McGuinness to identify the classes and the associations between classes, and integrate the new CPS ontological extensions. In the second part, they implement the full innovative DIH4CPS ontology within Protégé, and they instantiate it to a real company.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44681243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Risk incidents in the banks' systems have caused significant social impacts and economic losses. This study proposes a risk incident knowledge modeling and analysis approach based on the knowledge graphs to realize the effective integration and continuous accumulation of incident knowledge. The authors are the first to analyze the advantages of knowledge graphs in risk incident knowledge integration for the bank's core system. Moreover, they study and compare the related field's state-of-the-art models (including CRF, BiLSTM, BiLSTM-CRF, BERT-BiLSTM-CRF). This paper proposes an improved Bert-BiLSTM-CRF model to perform entity recognition which replaces “individual word mask and training” with “full word mask and training” targeted to solve the problem of low accuracy in the extraction of incident text entities in the banking system. Experiments on 1000 banking system incident material show that the improved Bert-BiLSTM-CRF model outperforms the state-of-the-art models based on the comparison of recall (R), precision (P), and F1-measure, with a 2%-9% improvement in the F1-measure.
{"title":"Banking System Incidents Analysis Using Knowledge Graph","authors":"Wenhao Kang, C. Cheung","doi":"10.4018/ijkss.325794","DOIUrl":"https://doi.org/10.4018/ijkss.325794","url":null,"abstract":"Risk incidents in the banks' systems have caused significant social impacts and economic losses. This study proposes a risk incident knowledge modeling and analysis approach based on the knowledge graphs to realize the effective integration and continuous accumulation of incident knowledge. The authors are the first to analyze the advantages of knowledge graphs in risk incident knowledge integration for the bank's core system. Moreover, they study and compare the related field's state-of-the-art models (including CRF, BiLSTM, BiLSTM-CRF, BERT-BiLSTM-CRF). This paper proposes an improved Bert-BiLSTM-CRF model to perform entity recognition which replaces “individual word mask and training” with “full word mask and training” targeted to solve the problem of low accuracy in the extraction of incident text entities in the banking system. Experiments on 1000 banking system incident material show that the improved Bert-BiLSTM-CRF model outperforms the state-of-the-art models based on the comparison of recall (R), precision (P), and F1-measure, with a 2%-9% improvement in the F1-measure.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49374615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
STEM education has become vital to equip the next-generation knowledge workers for Industry 4.0 world. STEM education refers to a curriculum based on the teaching of science, technology, engineering and mathematics, aiming to prepare students with critical thinking, collaboration, communication, and creative thinking (4C) abilities. STEM education and its associated industry market have tremendously grown in the past decade. Developing knowledge management skills and understandings are equally critical in equipping lifelong knowledge workers. The knowledge, skills, attitudes, and abilities to identify, search, analyse, apply and disseminate information and media products are essential. However, knowledge management-related education programs, curricula or frameworks for K-12 education still need to be made available. This article examines the common characteristics of STEM and KM education, investigates the current practice of KM in STEM education in Hong Kong, and proposes a STEM curriculum with KM learning elements for K-12 education.
{"title":"Knowledge Management","authors":"Irene Y. H. Fan, Wilson K. F. Shum","doi":"10.4018/ijkss.323420","DOIUrl":"https://doi.org/10.4018/ijkss.323420","url":null,"abstract":"STEM education has become vital to equip the next-generation knowledge workers for Industry 4.0 world. STEM education refers to a curriculum based on the teaching of science, technology, engineering and mathematics, aiming to prepare students with critical thinking, collaboration, communication, and creative thinking (4C) abilities. STEM education and its associated industry market have tremendously grown in the past decade. Developing knowledge management skills and understandings are equally critical in equipping lifelong knowledge workers. The knowledge, skills, attitudes, and abilities to identify, search, analyse, apply and disseminate information and media products are essential. However, knowledge management-related education programs, curricula or frameworks for K-12 education still need to be made available. This article examines the common characteristics of STEM and KM education, investigates the current practice of KM in STEM education in Hong Kong, and proposes a STEM curriculum with KM learning elements for K-12 education.","PeriodicalId":43448,"journal":{"name":"International Journal of Knowledge and Systems Science","volume":null,"pages":null},"PeriodicalIF":1.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45356002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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