• 제목/요약/키워드: Learning resources

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Ontology Mapping and Rule-Based Inference for Learning Resource Integration

  • Jetinai, Kotchakorn;Arch-int, Ngamnij;Arch-int, Somjit
    • Journal of information and communication convergence engineering
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    • 제14권2호
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    • pp.97-105
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    • 2016
  • With the increasing demand for interoperability among existing learning resource systems in order to enable the sharing of learning resources, such resources need to be annotated with ontologies that use different metadata standards. These different ontologies must be reconciled through ontology mediation, so as to cope with information heterogeneity problems, such as semantic and structural conflicts. In this paper, we propose an ontology-mapping technique using Semantic Web Rule Language (SWRL) to generate semantic mapping rules that integrate learning resources from different systems and that cope with semantic and structural conflicts. Reasoning rules are defined to support a semantic search for heterogeneous learning resources, which are deduced by rule-based inference. Experimental results demonstrate that the proposed approach enables the integration of learning resources originating from multiple sources and helps users to search across heterogeneous learning resource systems.

Relationship between Ambidexterity Learning and Innovation Performance: The Moderating Effect of Redundant Resources

  • Wang, Dongling;Lam, Kelvin C.K.
    • The Journal of Asian Finance, Economics and Business
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    • 제6권1호
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    • pp.205-215
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    • 2019
  • Researchers have confirmed the relationship between ambidexterity learning and innovation performance, but according to the resource-based theory, the relationship between ambidexterity learning and innovation performance is also affected by the internal resources of the organization. Internal resources are an important factor affecting the transformation of learning outcomes into performance. In addition, few scholars have pointed out whether different types of learning have different effects on different types of innovation performance. This study collects data from 170 High-tech enterprises in Shandong, china, and discusses the effects of exploitative learning and explorative learning on management innovation performance and technological innovation performance. This study further examines the moderating role of slack resource on the relationship between ambidexterity learning and innovation performance. Results show that ambidexterity learning has positive effect on innovation performance. Compared with exploitative learning, explorative learning has a greater impact on management innovation performance; compared with explorative learning, exploitative learning has a greater impact on technological innovation performances. Slack resource has positive moderating role between the relationship of exploitative learning, explorative learning and technology innovation performance. But Slack resource has no moderating role between the relationship of exploitative learning, explorative learning and management innovation performance.

Application of transfer learning for streamflow prediction by using attention-based Informer algorithm

  • Fatemeh Ghobadi;Doosun Kang
    • Proceedings of the Korea Water Resources Association Conference
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.165-165
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    • 2023
  • Streamflow prediction is a critical task in water resources management and essential for planning and decision-making purposes. However, the streamflow prediction is challenging due to the complexity and non-linear nature of hydrological processes. The transfer learning is a powerful technique that enables a model to transfer knowledge from a source domain to a target domain, improving model performance with limited data in the target domain. In this study, we apply the transfer learning using the Informer model, which is a state-of-the-art deep learning model for streamflow prediction. The model was trained on a large-scale hydrological dataset in the source basin and then fine-tuned using a smaller dataset available in the target basin to predict the streamflow in the target basin. The results demonstrate that transfer learning using the Informer model significantly outperforms the traditional machine learning models and even other deep learning models for streamflow prediction, especially when the target domain has limited data. Moreover, the results indicate the effectiveness of streamflow prediction when knowledge transfer is used to improve the generalizability of hydrologic models in data-sparse regions.

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A study on learning organization to develop employees' vocational competency at small and medium enterprises and productivity (중소기업 학습조직이 기업 생산성에 미치는 영향에 관한 연구)

  • Lim, Kyung-Sik;Choi, Byung-Gie;Jung, Jang-Woo;Han, Young-Geun;Kang, Kyung-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 대한안전경영과학회 2009년도 추계학술대회
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    • pp.573-588
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    • 2009
  • In this era of knowledge and information of the 21st century, the source of a nation's competitive power consists of human resources and material resources and the importance of human resources appreciates highly. The number of small and medium enterprises which are the core of national economy covers over 98% among whole domestic enterprises of Korea. Competitive power of small and medium enterprises comes from human resources development. For the development of human resources, small and medium enterprises are trying to expand their learning organizations in the company. The analysis of outcomes of administering the existing learning organizations shows that learning organizations contribute highly to the improvement of the productivity of small and medium enterprises. And the analysis also shows that the participants of learning organizations and middle management and executives who support and encourage them recognize the necessity of learning organizations and that it should be disseminated throughout other enterprises. Therefore government's supports to establish learning organizations in a company are required to expand.

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A study on learning organization to develop employees' vocational competency at small and medium enterprises and improvement of productivity (중소기업 학습조직이 기업 생산성에 미치는 영향에 관한 연구)

  • Lim, Kyung-Sik;Choi, Byung-Gie;Jung, Jang-Woo;Han, Young-Geun;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • 제11권3호
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    • pp.167-179
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    • 2009
  • In this era of knowledge and information of the 21st century, the source of a nation's competitive power consists of human resources and material resources and the importance of human resources appreciates highly. The number of small and medium enterprises which are the core of national economy covers over 98% among whole domestic enterprises of Korea. Competitive power of small and medium enterprises comes from human resources development. For the development of human resources, small and medium enterprises are trying to expand their learning organizations in the company. The analysis of outcomes of administering the existing learning organizations shows that learning organizations contribute highly to the improvement of the productivity of small and medium enterprises. And the analysis also shows that the participants of learning organizations and middle management and executives who support and encourage them recognize the necessity of learning organizations and that it should be disseminated throughout other enterprises. Therefore government's supports to establish learning organizations in a company are required to expand.

A Study on the Improvement Means for the Fundamental Problems in Training Human Resources in the e-Learning Industry (S-러닝 전문인력 양성 기반 문제점 및 개선방향)

  • Kim, Shin-Pyo;Noh, Kyoo-Sung
    • Journal of Digital Convergence
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    • 제3권1호
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    • pp.27-44
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    • 2005
  • Nowadays, demand for human resource for the e-learning industry is rapidly increasing along with the expansion of e-learning market capacity. However. there are numerous difficulties in expansion and industrialization of e-learning due to insufficient supply of human resources to meet the demand. Therefore, the goal of this study is to present various policy directions that can supplement the supply or e-learning manpower. Overall contents of this study focus on presenting the long-term directions for fostering of human resources for e-learning industry. Among these, role of government policies for fostering of human resources for e-learning industry is being particularly emphasized because e-learning industry is still at its infant stage.

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Web Hypermedia Resources Reuse and Integration for On-Demand M-Learning

  • Berri, Jawad;Benlamri, Rachid;Atif, Yacine;Khallouki, Hajar
    • International Journal of Computer Science & Network Security
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    • 제21권1호
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    • pp.125-136
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    • 2021
  • The development of systems that can generate automatically instructional material is a challenging goal for the e-learning community. These systems pave the way towards large scale e-learning deployment as they produce instruction on-demand for users requesting to learn about any topic, anywhere and anytime. However, realizing such systems is possible with the availability of vast repositories of web information in different formats that can be searched, reused and integrated into information-rich environments for interactive learning. This paradigm of learning relieves instructors from the tedious authoring task, making them focusing more on the design and quality of instruction. This paper presents a mobile learning system (Mole) that supports the generation of instructional material in M-Learning (Mobile Learning) contexts, by reusing and integrating heterogeneous hypermedia web resources. Mole uses open hypermedia repositories to build a Learning Web and to generate learning objects including various hypermedia resources that are adapted to the user context. Learning is delivered through a nice graphical user interface allowing the user to navigate conveniently while building their own learning path. A test case scenario illustrating Mole is presented along with a system evaluation which shows that in 90% of the cases Mole was able to generate learning objects that are related to the user query.

Values of Infographics for Promoting Cultural Learning Resources and Tourist Attractions: A Case of Patum Village in Thailand

  • Nilobon Wimolsittichai
    • Journal of Information Science Theory and Practice
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    • 제12권1호
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    • pp.21-38
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    • 2024
  • Infographics are influential and valuable communication tools for providing information, and can be used for promoting cultural learning resources and cultural tourism destinations. Therefore, this article presents values of using infographics for promoting Patum's culture and tourism in Phrao District, Chiang Mai, Thailand as cultural learning resources and tourist attractions. Employing a research and development approach, this study utilized three distinct instruments: (1) an interview form engaging 40 locals to uncover insights on promoting Patum village, (2) an assessment form evaluated by three arts and design experts, and (3) questionnaires distributed to 92 participants to gauge perceptions and satisfaction. The findings showcased the high quality and appropriateness of the eight infographics. Audiences derived six key values, including acquiring knowledge, fostering the promotion of Patum's culture, festivals, religions and beliefs, deriving aesthetic enjoyment, encouraging cultural tourism, contributing to the education sector, and enhancing comprehension of Patum's history. Participants expressed high satisfaction ($\bar{x}$=4.46) with the infographic use. The developed infographics are usable and valuable information to help audiences recognize Patum cultural learning resources and tourist destinations. They might be further tailored to the recognition of Patum village in the near future, affecting the area's development by increasing local people's incomes through cultural learning resources and tourism activities.

Basin-Wide Multi-Reservoir Operation Using Reinforcement Learning (강화학습법을 이용한 유역통합 저수지군 운영)

  • Lee, Jin-Hee;Shim, Myung-Pil
    • Proceedings of the Korea Water Resources Association Conference
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.354-359
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    • 2006
  • The analysis of large-scale water resources systems is often complicated by the presence of multiple reservoirs and diversions, the uncertainty of unregulated inflows and demands, and conflicting objectives. Reinforcement learning is presented herein as a new approach to solving the challenging problem of stochastic optimization of multi-reservoir systems. The Q-Learning method, one of the reinforcement learning algorithms, is used for generating integrated monthly operation rules for the Keum River basin in Korea. The Q-Learning model is evaluated by comparing with implicit stochastic dynamic programming and sampling stochastic dynamic programming approaches. Evaluation of the stochastic basin-wide operational models considered several options relating to the choice of hydrologic state and discount factors as well as various stochastic dynamic programming models. The performance of Q-Learning model outperforms the other models in handling of uncertainty of inflows.

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Study on Effective Visual Resources According to Their Role in Teaching-Learning Activity - In the “Regularity in Chemical Reactions” Unit in the Ninth Grade Science Textbook

  • Park, Jong Keun
    • Journal of the Korean Chemical Society
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    • 제60권5호
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    • pp.327-341
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    • 2016
  • This study explores the effective visual resources in the “regularity in chemical reactions” unit of ninth grade science textbooks (2009 revised version). The frequency and role of visual resources were initially examined, and the students’ perceptions of visual resources were investigated. The results of the analysis represented the learning material presentation (68%), motivational categories (14%), guide to inquiry procedures (9%), and inquiry results and summaries (8%). According to the investigation of the students’ perceptions of visual resources, the most effective visual resource for motivation is a photograph depicting physical and chemical changes, such as in bread baking and the most effective for learning material presentations in mass conservation, definite proportion, and stoichiometric concept units were a cartoon, graph, and formula representing stoichiometric phenomena, respectively. The most effective resource for guide to inquiry (experimental) procedures were photographs of both instruments and sequential experiment processes; and in the inquiry results and summary category, incomplete tables and graphs for students to work on themselves. The aims of this research are to increase the usefulness of visual resources in the teaching-learning activity and provide informative supplements for the development and improvement of visual resources, according to the students’ perceptions.