• Title/Summary/Keyword: geological learning

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Development and Application of Geological Field Study Sites in the Area of Igneous Rocks (화성암 지역의 야외지질학습장 개발 및 적용)

  • Kim, Hwa Sung;Ham, Ho Shik;Lee, Moon Won
    • Journal of the Korean earth science society
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    • v.34 no.3
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    • pp.274-285
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    • 2013
  • The purpose of this study was to develop geological field study sites for learning topography and geology of the area with igneous rocks, specifically in Duibaejae volcanic edifice and Seonang-bawi that were distributed in Goseong-gun, Gangwon-do area. As a follow up, we conducted a study to examine the effect of the study sites when applied to high school freshmen Earth science course. The study proceeded based on the Orion's model in the order of preparatory unit, field trip, and summary unit. The geological field study sites were developed based on the geological study elements presented in the Korean Earth science curriculum. Before the field trip, students simply memorized factual knowledge on minerals, rocks and etc., and showed very low level of understanding on the formation process of the region that was distributed with granite and basalt. Especially, their understanding showed that granite and basalt were formed from the same magma at the same time. After the field trip, they increased in-depth level of understanding about minerals, rocks, and geological structures, but were not able to explain the topographical characteristics of the two rocks because they did not recognize the times of the creation of granite and basalt. The reason is that they have learned the simple concept of the process of forming granite and basalt in their middle school, but that they have not learned the meaning of the difference between two the geological eras when each of the two rocks, granite and basalt, were formed.

Case Study on the Pre-Service Earth Science Teachers' Faults Discrimination on Geological Map using Eye Tracker (시선 추적기를 활용한 지질도에서 예비 지구과학교사들의 단층 판별에 대한 사례 연구)

  • Woong Hyeon Jeon;Duk Ho Chung;Chul Min Lee
    • Journal of the Korean earth science society
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    • v.44 no.3
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    • pp.210-221
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    • 2023
  • The purpose of this study is to evaluate the content knowledge and problem solving process used by pre-service earth science teachers while discriminating faults on geological maps. For this, we collected and evaluated data on fixation duration and gaze plot, while pre-service earth science teachers (N=12) solved the problem on faults interpretation using an eye tracker (Tobii Pro Glass 2 model). The results were as follows. First, most of the pre-service earth science teachers know the concepts of the normal and reverse fault but they do not know the procedural knowledge essential for fault interpretation on geological maps. Second, the pre-service earth science teachers did not draw a geological cross-sectional map to interpret the fault on the geological map and interpreted the fault based on two-dimensional information collected from the geological map rather than three-dimensional information. Therefore, it is essential to improve the teaching and learning environment so that pre-service earth science teachers who will become earth science teachers in the future can learn procedural knowledge essential to comprehend natural phenomena including understanding natural phenomena. The results of this study can substantially help organize a new earth science curriculum or develop materials on teachers' education in the future.

The Effects of Instruction using the e-Learning in ‘Geological’ Unit of Middle School Science on Long and Short Term Retention (중학교 과학 ‘지질’ 영역에서 e-Learning 활용 수업이 장·단기 파지에 미치는 효과)

  • Lee, Chai-Eung;Lee, Yong-Seob;Kim, Sang-Dal
    • Journal of the Korean earth science society
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    • v.26 no.6
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    • pp.469-476
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    • 2005
  • The objective of this study is to investigate the effects of a new learning method called, 'e-Learning,' by applying this method on a middle school science curriculum and study the influence it has on the students’ short and long term memory. The study was performed on two classes of sixth grade students at 'K middle school' in Yangsan. By handing out structured study assignment in e-Learning, I was able to observe how it affected the learners’ short and long term retention. The results of the study were as follows: First, classes that underwent studies using e-Learning did not show any influence on short term retention. Second, e-Learning had positive influence on long term retention. Third, learners who experienced e-Learning had positive cognition on e-Learning.

Development and Application of Teaching Materials for Geological Fieldwork in Jeokbyeokgang Area, Gyeokpo, Byeonsan, Korea (변산반도 격포 적벽강 일대 야외지질 학습자료 개발 및 적용)

  • Cho, Kyu-Seong;Ryang, Woo-Hun;Shin, Sun-Seon;Oh, Jae-Myeong;Chung, Duk-Ho
    • Journal of the Korean earth science society
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    • v.33 no.7
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    • pp.658-671
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    • 2012
  • This study is to develop teaching materials for the geological fieldwork of Jeokbyeokgang area located in the national park of the Byeonsan-bando National Park, Buangun, Jeonbuk, Korea. The developed teaching materials are used in middle school science to effectively teach the fieldwork of the area. The sedimentary succession of Jeokbyeokgang area in the Cretaceous age, Mesozoic, represents the large-scale and distinctive sedimentary structures on sea cliffs, which are worth developing as teaching materials for the earth science fieldwork. The area of Jeokbyeokgang also comprises various geological structures related to the advanced learning programs as well as those within the curriculum of earth science in middle school level. A five-step fieldwork model was applied to 20 students in middle school earth science. This study quantitatively analyzed students' responses to the process of the fieldwork activity. Results indicated that the fieldwork activity using the developed teaching materials was effective in helping the students to improve their self-directed learning and practical understanding of earth science.

A TBM data-based ground prediction using deep neural network (심층 신경망을 이용한 TBM 데이터 기반의 굴착 지반 예측 연구)

  • Kim, Tae-Hwan;Kwak, No-Sang;Kim, Taek Kon;Jung, Sabum;Ko, Tae Young
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.1
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    • pp.13-24
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    • 2021
  • Tunnel boring machine (TBM) is widely used for tunnel excavation in hard rock and soft ground. In the perspective of TBM-based tunneling, one of the main challenges is to drive the machine optimally according to varying geological conditions, which could significantly lead to saving highly expensive costs by reducing the total operation time. Generally, drilling investigations are conducted to survey the geological ground before the TBM tunneling. However, it is difficult to provide the precise ground information over the whole tunnel path to operators because it acquires insufficient samples around the path sparsely and irregularly. To overcome this issue, in this study, we proposed a geological type classification system using the TBM operating data recorded in a 5 s sampling rate. We first categorized the various geological conditions (here, we limit to granite) as three geological types (i.e., rock, soil, and mixed type). Then, we applied the preprocessing methods including outlier rejection, normalization, and extracting input features, etc. We adopted a deep neural network (DNN), which has 6 hidden layers, to classify the geological types based on TBM operating data. We evaluated the classification system using the 10-fold cross-validation. Average classification accuracy presents the 75.4% (here, the total number of data were 388,639 samples). Our experimental results still need to improve accuracy but show that geology information classification technique based on TBM operating data could be utilized in the real environment to complement the sparse ground information.

A Case Study of Middle School Students' Abductive Inference during a Geological Field Excursion (야외 지질 학습에서 나타난 중학생들의 귀추적 추론 사례 연구)

  • Maeng, Seung-Ho;Park, Myeong-Sook;Lee, Jeong-A;Kim, Chan-Jong
    • Journal of The Korean Association For Science Education
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    • v.27 no.9
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    • pp.818-831
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    • 2007
  • Recognizing the importance of abductive inquiry in Earth science, some theoretical approaches that deploy abduction have been researched. And, it is necessary that the abductive inquiry in a geological field excursion as a vivid locale of Earth science inquiry should be researched. We developed a geological field trip based on the abductive learning model, and investigated students' abductive inference, thinking strategies used in those inferences, and the impact of a teacher's pedagogical intervention on students' abductive inference. Results showed that students, during the field excursion, could accomplish abductive inference about rock identification, process of different rock generation, joints generation in metamorpa?ic rocks, and terrains at the field trip area. They also used various thinking strategies in finding appropriate rules to construe the facts observed at outcrops. This means that it is significant for the enhancement of abductive reasoning skills that students experience such inquiries as scientists do. In addition, a teacher's pedagogical interventions didn't ensure the content of students' inference while they helped students perform abductive reasoning and guided their use of specific thinking strategies. Students had found reasoning rules to explain the 01: served facts from their wrong prior knowledge. Therefore, during a geological field excursion, teachers need to provide students with proper background knowledge and information in order that students can reason rues for persuasive abductive inference, and construe the geological features of the field trip area by the establishment of appropriate hypotheses.

Comparative Application of Various Machine Learning Techniques for Lithology Predictions (다양한 기계학습 기법의 암상예측 적용성 비교 분석)

  • Jeong, Jina;Park, Eungyu
    • Journal of Soil and Groundwater Environment
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    • v.21 no.3
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    • pp.21-34
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    • 2016
  • In the present study, we applied various machine learning techniques comparatively for prediction of subsurface structures based on multiple secondary information (i.e., well-logging data). The machine learning techniques employed in this study are Naive Bayes classification (NB), artificial neural network (ANN), support vector machine (SVM) and logistic regression classification (LR). As an alternative model, conventional hidden Markov model (HMM) and modified hidden Markov model (mHMM) are used where additional information of transition probability between primary properties is incorporated in the predictions. In the comparisons, 16 boreholes consisted with four different materials are synthesized, which show directional non-stationarity in upward and downward directions. Futhermore, two types of the secondary information that is statistically related to each material are generated. From the comparative analysis with various case studies, the accuracies of the techniques become degenerated with inclusion of additive errors and small amount of the training data. For HMM predictions, the conventional HMM shows the similar accuracies with the models that does not relies on transition probability. However, the mHMM consistently shows the highest prediction accuracy among the test cases, which can be attributed to the consideration of geological nature in the training of the model.

A Comparison of the Learning Semantic Network about Sedimentary Environment between Science Gifted Students and Non-Gifted Students through Geological Field Trips (야외지질학습에서 학습한 퇴적환경에 대한 과학영재와 일반학생의 언어네트워크 비교)

  • Cho, Kyu-Seong;Chung, Duk-Ho;Seo, Eun-Seon;Park, Kyeong-Jin
    • Journal of Gifted/Talented Education
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    • v.23 no.6
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    • pp.881-898
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    • 2013
  • The purpose of this study was to compare the difference of semantic network about sedimentary environment between science gifted students and non-gifted students through field trip. The fifteen high school science gifted students and non-gifted students were participated in the field trip for this study. The geological field trip was performed in Chaseokgang, which suitable learning place for sedimentary environments. Data included field trip observation and students' inquiry activity reports. The inquiry activity reports were analyzed using the semantic network analysis method. The results of this study were as follows: First, the semantic network of science gifted students was larger and complex structures than that of the non-gifted students. Second, science gifted students were interpreted that changes of sedimentary environment was connected with the sorting and the roundness. On the other hand, semantic network of non-gifted students were become fragmented because they were not interpreted sedimentary environment related to scientific concepts.

Adaptively selected autocorrelation structure-based Kriging metamodel for slope reliability analysis

  • Li, Jing-Ze;Zhang, Shao-He;Liu, Lei-Lei;Wu, Jing-Jing;Cheng, Yung-Ming
    • Geomechanics and Engineering
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    • v.30 no.2
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    • pp.187-199
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    • 2022
  • Kriging metamodel, as a flexible machine learning method for approximating deterministic analysis models of an engineering system, has been widely used for efficiently estimating slope reliability in recent years. However, the autocorrelation function (ACF), a key input to Kriging that affects the accuracy of reliability estimation, is usually selected based on empiricism. This paper proposes an adaption of the Kriging method, named as Genetic Algorithm optimized Whittle-Matérn Kriging (GAWMK), for addressing this issue. The non-classical two-parameter Whittle-Matérn (WM) function, which can represent different ACFs in the Matérn family by controlling a smoothness parameter, is adopted in GAWMK to avoid subjectively selecting ACFs. The genetic algorithm is used to optimize the WM model to adaptively select the optimal autocorrelation structure of the GAWMK model. Monte Carlo simulation is then performed based on GAWMK for a subsequent slope reliability analysis. Applications to one explicit analytical example and two slope examples are presented to illustrate and validate the proposed method. It is found that reliability results estimated by the Kriging models using randomly chosen ACFs might be biased. The proposed method performs reasonably well in slope reliability estimation.

THE USE OF NUMERICAL MODELS IN SUPPORT OF SITE CHARACTERIZATION AND PERFORMANCE ASSESSMENT STUDIES FOR GEOLOGICAL REPOSITORIES

  • Neerdael, Bernard;Finsterle, Stefan
    • Nuclear Engineering and Technology
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    • v.42 no.2
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    • pp.145-150
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    • 2010
  • The paper is describing work being developed in the frame of a 5-year IAEA Coordinated Research Programme (CRP) started in late 2005. Participants gained knowledge of modelling methodologies and experience in the development and use of rather sophisticated simulation tools in support of site characterization and performance assessment calculations. These goals were achieved by a coordinated effort, in which the advantages and limitations of numerical models are examined and demonstrated through a comparative analysis of simplified, illustrative test cases. This knowledge and experience should help them address these issues in their own country's nuclear waste program. Coordination efforts during the first three years of the project aimed at enabling this transfer of expertise and maximizing the learning experience of the participants as a group. This was accomplished by identifying common interests of the participants (i.e., Process Modelling and Total System Performance Assessment methodology), and by defining complementary tasks that are solved by the members. Synthesis of all available results by comparative assessments is planned in the coming months. The project will be completed end of 2010. This paper is summarizing activities up to November 2009.