From the biopsychological point of view,learning could be defined as the processes to transfer the information that we obtain from environment to the neural circuits in the brain.In the studies to determine the biological substrates of learning and memory,there was a remarkable effort to identify neural circuits related with a specific type of learning and to describe the mechanixm of neural plasticity of learning and memory,under the assumption that the memory orinformation may be stored as a modificationof neural synapes in the central nerviys system.On the other hand,there was a different kind of tendency to analyze the mechanism of interactions between neural substrates involved in learning and memory,under the assumption that a specific information may be represented in the patterns of comples neural network of the central nervous system.The present review,in the former position.focused on the research methods and the chracteristics and finding of the investigations employing animal model systems to indentify the essential site of engram for learning and memory.Specifically,the review presents major advances in ourunderstanding of the memory trace circuit for a specific type of learning,with the use of animal model system,the detemination of the critical lodi of neuaral plastic chabges In learing abd memory,and the neurophysiological an biocemical mechanixms of the neural modifia by learint.
To live autonomously, intelligent agents such as robots or virtual characters need ability that recognizes given environment, and learns and chooses adaptive actions. So, we propose an action selection/learning mechanism in intelligent agents. The proposed mechanism employs a hybrid system which integrates a behavior-based method using the reinforcement learning and a cognitive-based method using the symbolic learning. The characteristics of our mechanism are as follows. First, because it learns adaptive actions about environment using reinforcement learning, our agents have flexibility about environmental changes. Second, because it learns environmental factors for the agent's goals using inductive machine learning and association rules, the agent learns and selects appropriate actions faster in given surrounding and more efficiently in extended surroundings. Third, in implementing the intelligent agents, we considers only the recognized states which are found by a state detector rather than by all states. Because this method consider only necessary states, we can reduce the space of memory. And because it represents and processes new states dynamically, we can cope with the change of environment spontaneously.
Purpose: This study was to develop, implement, and evaluate an e-learning education program for improving practical knowledge and preventing nursing errors and adverse events of nurses working in the operating room (OR). Method: The e-learning program was developed and evaluated according to the following processes: 1) preparation phase 2) implementation phase 3) evaluation phase. In evaluation phase, the effectiveness was analyzed based on the Kirkpatrick's model. Results: The e-learning program consisted of OR basic nursing skills and techniques and nursing activities' manual based on the categories of nursing errors: surgical operation preparation, nursing skills and techniques, environment management, patient safety and comfort, and patient monitoring. The program was provided through on-line, http://cafe.daum.net/pnuhorn, for 4 weeks. The mean score(percent) of participants' satisfaction was $21.24{\pm}1.71$(68.2%). Their total knowledge level was significantly improved(Z=-3.00, p=.003) and specifically in the category of environment management(Z=-3.77, p<.001) and patient monitoring(Z=-2.46, p=.014). The occurrence of nursing errors or adverse events was a little decreased, but not statistically significant(Z=-3.10, p=.756). Conclusion: E-learning for nurses is one way of effective and efficient teaching-learning strategies. For better e-learning, it is important to develop the vital content of the education and objective measures for detecting nursing errors and adverse events.
Journal of Elementary Mathematics Education in Korea
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v.19
no.4
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pp.609-624
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2015
It is well-known that every learner has his/her own learning style and the learning style has a great effect on his/her learning characteristics, processes and achievements. This study aims to induce some implications for designing the gifted mathematics programs which go with gifted students' learning styles. To do this, we applied the gifted mathematics program of nine lessons to 52 third grade gifted students and examined the characteristics of the programs according Kolb's learning style. To investigate the effect of the program, the pretest and posttest for applying the programs were taken and the results of two tests were analysed by t-test. As a result, the students of diverging style increased and the ones of converging style decreased, while there is little change in the accommodating style and the assimilating style. It was also shown that the average of the concrete experience(CE) of the subjects has increased significantly. This study also contains some pedagogical implications based on discussing about the results of analysis.
The purpose of this study is to enhance elementary students' awareness of environment-friendly life and help them to prepare for a better life in the future. To achieve this purpose we examined the effect typical environmental experience-based learning activities, which were based on the local circumstances with high environmental-educational potential, have on the attitudes toward environment-friendly life. This study was carried out on the basis of typical environmental experience-based learning in the small class size. The research group used was composed of one sixth grade elementary school class called Sangroksu, whose total students were 9. The research period lasted from March 2005 to February 2006. To analyze the result of this study, two research methods were applied simultaneously : quantitative research methods and qualitative research methods. Especially statistical analysis in quantitative research methods by self-administrated questionnaire was done with SAS program. Qualitative research methods were analyzed in a cyclic pattern, including the processes of domain analysis, classification analysis, and factor analysis which continued to be associated with data-collecting methods. This research shows the following results. First of all, students have shown meaningful differences after typical environmental experience-based learning activities.(p<.05). Followings are fields of the differences - students‘ interest on the subject, their understanding levels of necessity for basic environmental facilities around us as well as for the kinds of environmental experience-based learning, awareness levels of various environmental problems, consciousness on environment conservation, and the practicing ability of environment - friendly lifestyles. Secondly, We have discovered improvements in the following fields after this study - the knowledge and understanding levels on our environment and human relationships, students' fundamental abilities to work out environmental problems, right ideas and appropriate attitudes on environment protection, the practicing ability of environment-friendly life styles, and their parents' understanding levels on the education related to environment. In conclusion, typical environmental experience-based learning activities have a positive effect on the improvement of elementary school students' environment-friendly life styles.
The Journal of the Convergence on Culture Technology
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v.8
no.3
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pp.359-365
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2022
This study was to provide teaching and learning strategies to develop a creative sight-singing and ear-training program that aims to design student-centered education. Therefore, the characteristics of the sight-singing and ear-training as well as teaching and learning methods were analyzed through the literature review, and the following meaningful strategies were derived. First, a student-centered teaching environment was promoted by diversifying the teaching environment through small group activities and establishing a sustainable learning environment using MyEarTraining and Musescore applications. Second, teaching and learning strategies were proposed to improve sight-singing and ear-training skills by applying for various teaching and learning methods and cultivating the qualities of a pre-service teacher. This study is expected to be used as meaningful fundamental data in developing specific teaching and learning processes for a creative sight-singing and ear-training program.
International conference on construction engineering and project management
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2022.06a
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pp.1220-1220
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2022
Constructionarium Ltd is a not-for-profit organisation which delivers a residential, experiential, immersive learning opportunity to university students from across the built environment education sector. Since 2002, the Constructionarium education model has been available to students in engineering, construction management and architecture at a purpose built, 19-acre multi-disciplinary training facility in Bircham Newton, England simulating real site life and reflecting site processes, practices and health and safety requirements. The unique approach of Constructionarium puts experiential learning and sustainability at the heart of everything. In a week, students develop a practical understanding of the construction process, develop transferable skills, build a team and are exposed to the latest in sustainable technologies. Experiential learning is what differentiates a Constructionarium project from regular field trips or site visits. At Constructionarium the focus is on learning by participation rather than learning through theory or watching a demonstration. The projects cannot be replicated in a classroom or on campus. Using the hands-on construction of scaled down versions of iconic structures from around the world, students learn that it requires the involvement of the whole construction team to successfully complete their project. Skills such as communication, planning, budgeting, time management and decision making are woven into a week-long interrelationship with industry professionals, academic mentors and trades workers. Working together to enhance transferable skills brings the educational environment into the reality of completing an actual construction project handled by the students. Constructionarium has used this transformational learning model to educate thousands of students from all over the United Kingdom, Europe and Asia. Texas A&M University in the United States has sent multiple teams of students from its Department of Construction Science every operational year since 2016.
This research centers on the Taiwan Eye-Movement Corpus of Spanish (TECS), a specially created corpus comprising eye-tracking data from Chinese-speaking learners of Spanish as a third language in Taiwan. Its primary purpose is to explore the broad utility of TECS in understanding language learning processes, particularly the initial stages of language learning. Constructing this corpus involves gathering data on eye-tracking, reading comprehension, and language proficiency to develop a machine-learning model that predicts learner behaviors, and subsequently undergoes a predictability test for validation. The focus is on examining attention in input processing and their relationship to language learning outcomes. The TECS eye-tracking data consists of indicators derived from eye movement recordings while reading Spanish sentences with temporal references. These indicators are obtained from eye movement experiments focusing on tense verbal inflections and temporal adverbs. Chinese expresses tense using aspect markers, lexical references, and contextual cues, differing significantly from inflectional languages like Spanish. Chinese-speaking learners of Spanish face particular challenges in learning verbal morphology and tenses. The data from eye movement experiments were structured into feature vectors, with learner behaviors serving as class labels. After categorizing the collected data, we used two types of machine learning methods for classification and regression: Random Forests and the k-nearest neighbors algorithm (KNN). By leveraging these algorithms, we predicted learner behaviors and conducted performance evaluations to enhance our understanding of the nexus between learner behaviors and language learning process. Future research may further enrich TECS by gathering data from subsequent eye-movement experiments, specifically targeting various Spanish tenses and temporal lexical references during text reading. These endeavors promise to broaden and refine the corpus, advancing our understanding of language processing.
Transactions of the Korean Society of Mechanical Engineers
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v.17
no.1
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pp.101-111
/
1993
Many processes such as machining, injection-moulding and metal-forming are usually operated by hydraulic servo-systems. The dynamic characteristics of these systems are complex and highly non-linear and are often subjected to the uncertain external disturbances associated with the processes. Consequently, the conventional approach to the controller design for these systems may not guarantee accurate tracking control performance. An effective neuro-fuzzy controller is proposed to realize an accurate hydraulic servo-system regardless of the uncertainties and the external disturbances. For this purpose, first, we develop a simplified fuzzy logic controller which have multidimensional and unsymmetric membership functions. Secondly, we develop a neural network which consists of the parameters of the fuzzy logic controller. It is show that the neural network has both learning capability and linguistic representation capability. The proposed controller was implemented on a hydraulic servo-system. Feedback error learning architecture is adopted which uses the feedback error directly without passing through the dynamics or inverse transfer function of the hydraulic servo-system to train the neuro-fuzzy controller. A series of simulations was performed for the position-tracking control of the system subjected to external disturbances. The results of simulations show that regardless of inherent non-linearities and disturbances, an accuracy tracking-control performance is obtained using the proposed neuro-fuzzy controller.
Journal of the Korean Society for Library and Information Science
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v.54
no.1
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pp.197-221
/
2020
This study investigates the influence of project-based learning method on the problem-solving ability and communication ability of students taking the 'Reading Guide' course in Library and Information Science(LIS). During this study, two tests measuring students' problem-solving ability and communication ability were conducted, containing 30 items divided into 5 steps of problem-solving processes and 45 items divided into 15 categories of communication ability, respectively. By utilizing the correspondence sample T-test during this study, significant differences were found in the 5 steps problem-solving processes. However, no difference was found between the pre-test and the post-test results in all 15 categories of communication ability. Subsequently, an in-depth interview was conducted, inquiring into the students' perspectives on the difficulty of attending classes, the content of lectures, the appropriateness of assignments, the validity of the evaluation method, the relationship with their team members, and the benefits acquired from completing the projects. Finally, an intensive analysis was conducted in the categories of problem-solving ability and communication ability.
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