Journal of Fisheries and Marine Sciences Education
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v.25
no.4
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pp.878-890
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2013
The purpose of this study is to apply the PEOE class model that can enhance students' scientific creative problem-solving ability and self-directed learning ability in the middle school science subject and analyze the effects of it on students' long- and short-term retention, scientific creative problem-solving ability, and self-directed learning characteristics. And the paper has gained the following results: First, according to the result of analysis through the pre-test, post-test, and delay test to examine the effects of PEOE-based class on learners' long- and short-term retention, it is found to be statistically significant in the significant level of .05. In other words, the class using PEOE influences learners' short-term retention significantly, but it is even more effective in transmitting the concept that students acquire into their long-term memory. Second, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' scientific creative problem-solving ability, it is found to be statistically significant in the significant level of .05 in general. However, 'elaboration' and 'originality', the subfactors of scientific creative problem-solving ability, do not indicate significant effects. Third, according to the result of analysis through the pre-test and post-test to examine the effects of PEOE-based class on learners' self-directed learning characteristics, it is found to be statistically significant in the significant level of .05 as a whole. However, 'openness' and 'future-oriented self-understanding', the subfactors of self-directed learning characteristics, do not exert significant effects. Based on the above study results, it can be concluded that PEOE-based class is more effective for learners' academic achievement in science, scientific creative problem-solving ability, and self-directed learning characteristics than lecture-method instruction regarding the middle school science unit of 'The Properties of Air and Weather Change'.
This study aims to measure intelligence (cognitive characteristics), self-esteem, mathematical attitudes, and scientific attitudes (affective characteristics) of gifted students from low-income families, and to identify the relationship among these variables. 147 students in the lower grades of elementary schools who were enrolled to university-based gifted education centers were participants of the study. The results showed that the percentile scores of each variable were 85% for intelligence, 75.6% for self-esteem, 73.3% for mathematical attitudes, and 71.3% for mathematical attitudes. There was no statistically significant relationship between intelligence and the affective characteristics (i.e., self-esteem, mathematical attitudes, and scientific attitudes), while statistically significant relationships were shown between self-esteem and mathematical attitudes (r=.448, p=.000), between self-esteem and scientific attitudes (r=.522, p=.000), and between mathematical attitudes and scientific attitudes (r=.448, p=.000). The results suggest that although the gifted students from low-income families show lower levels compared to other gifted student groups, their potential level of giftedness is considerably high, which calls for appropriate educational support systems designed for this population.
Journal of The Korean Association For Science Education
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v.29
no.8
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pp.990-1010
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2009
To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.
Journal of The Korean Association For Science Education
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v.42
no.6
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pp.611-619
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2022
The purpose of this study is to explore the possibility of applying big data analysis to provide appropriate feedback to students using evaluation data in science education at a time when interest in educational data mining has recently increased in education. In this study, we use the evaluation data of 2,576 students who took 24 questions of the national assessment of educational achievement. And we use K-means cluster analysis as a method of unsupervised machine learning for clustering. As a result of clustering, students were divided into six clusters. The middle-ranking students are divided into various clusters when compared to upper or lower ranks. According to the results of the cluster analysis, the most important factor influencing clusterization is academic achievement, and each cluster shows different characteristics in terms of content domains, subject competencies, and affective characteristics. Learning motivation is important among the affective domains in the lower-ranking achievement cluster, and scientific inquiry and problem-solving competency, as well as scientific communication competency have a major influence in terms of subject competencies. In the content domain, achievement of motion and energy and matter are important factors to distinguish the characteristics of the cluster. As a result, we can provide students with customized feedback for learning based on the characteristics of each cluster. We discuss implications of these results for science education, such as the possibility of using this study results, balanced learning by content domains, enhancement of subject competency, and improvement of scientific attitude.
This study aims to analyze the correlation of creative personality, environment, process, and product as related to scientific creativity for different levels of elementary school students. We evaluated 105 fifth graders' responses to two tests: i) the scientific creativity test for creative process and product and ii) the self-report test for creative personality and environment. In the self-report test, creative personality comprises cognitive and affective personality, and creative environment constitutes home and school environments. To attain a deeper understanding of phenomena that cannot be explained by a quantitative analysis, interviews were conducted with four students who had the highest scores in creative product and four students who had the lowest scores in creative product while having higher-than-average scores in creative process. First, correlation of creative personality and environment were not significant. Second, in the interviews, students who had the highest scores in scientific creativity had common characteristics, namely, the ability to endure current difficulties to achieve future success and the propensity to listen to other people's ideas critically. Third, students who had the highest scores in creativity hailed from families that respected their opinions, whereas students with the lowest scores belonged to families that disregarded or neglected their opinions. Finally, this study specifies the criteria that should be considered for affective and environmental aspects of scientific creativity education.
Journal of The Korean Association For Science Education
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v.17
no.1
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pp.1-10
/
1997
The purpose of this study was to analyze the structural model of causal effects of students' variables on science process skills. Student characteristics investigated in the study included attitude related to the science, logical thinking ability, scientific experiences, cognitive style. Covariance structural modeling procedures were used to test causal inferences about hypothesized relationships. The sample consisted of 319 6th grade students and 321 8th grade students in Seoul City, Korea. Five instruments were used in the study, TSPS(test of science process skills), GALT(group assessment of logical thinking), CEFT(children embedded figures test), questionnaire of attitude related to the science, questionnaire of scientific experience. For statistical analysis, the study adopted the structural equation modeling with LlSREL, a computer statistical program developed by J reskog and S rbom. Major findings of the study are as follows:1) Logical thinking ability has a most strong direct effect on science process skills. 2) The structural coefficient of scientific experience influence on attitude related to the science has the greatest direct one than the others in the covariance structural model. According to the results of this study, it is very importance that various scientific experiences, particularly hands-on activity, should be offer to students to improve science process skills. Also, understanding the relationships of student variable to science process skills will be helpful to decision making on the part of curriculum developers, science teachers and researchers.
International Journal of Internet, Broadcasting and Communication
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v.14
no.1
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pp.44-52
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2022
With recent scientific advances and growing interest in AI technologies, AI-based chatbots have been viewed as a practical learning aid for English language development. The purpose of this study is to examine preservice teachers' perceptions on the potential benefits of employing AI chatbots in English instruction and its pedagogical aspects. 28 preservice teachers majoring in English education were asked to use Kuki chatbots for a week with a guidance of a researcher and then report on their perceptions of AI chatbots in terms of perceived usefulness after use, applicability, and educational benefits and drawbacks. Emerging codes and themes were identified and evaluated using Thematic Analysis(TA) based on qualitative data from surveys and interviews. The findings show that six emerging themes were identified, encompassing perspectives on teacher, learner, communication, linguistic, affective, and assessment. The overall findings of this study revealed that AI-based chatbots can play a significant role as learning tools for stimulating interactive communication in a target language. Most preservice primary teachers acknowledge that AI chatbots can be useful as teaching and learning aids for both teachers and students. Furthermore, when applying various learner data to chatbot technology, such as learner assessment and diagnosis, a guided approach is necessary to perform a conversation appropriate for the learner's level and characteristics. Finally, as chatbots have a variety of benefits in terms of affective aspects, they may improve EFL learners' confidence in speaking English and learning motivation.
The purpose of this study was to compare socio-linguistic characteristics and instructional influences of two different types of texts, which were narrative and expository. Socio-linguistic characteristics of two different types of texts were analyzed in their content specialization, linguistic formality, and social-pedagogic relationships. Expository texts showed strong scientific classification, and medium level of linguistic formality, and low level of social-pedagogic relationships. Narrative texts showed different characteristics. The instructional effects were investigated with 91 fifth grade elementary students in three classes. Each class was randomly assigned into three groups: expository text group, narrative text group, control group. The results showed that the science achievement scores of the narrative text group was higher than those of other groups. The affective domain test scores of the expository text group were higher than other groups. The perception of students on informational science text were generally positive both types of texts.
The purpose of this study was to investigate and analyze the elementary teachers' views and students' views about the difficulties in teaching and learning on open inquiry activities of elementary school science. Semi-structured interviews were conducted individually with three elementary teachers who have serviced more than three years, and with twenty four elementary students attending schools located in Cheongju City. And their anecdotes were collected and analyzed. The interview questions were developed through Seidman's steps to acquire the reliability in the interview data. From the interviews and anecdotes, we found that elementary teachers' views about the difficulties of teaching open inquiry activities: the difficulties of teaching in finding inquiry problem and planning inquiry, the difficulties of managing group activities, the difficulties of managing class hours for inquiry, the lack of the students' inquiry abilities, and problems on students' affective characteristics. And the students have the views about the difficulties in doing open inquiry activities: the difficulties of finding inquiry problem and planning inquiry, being unaccustomed to write reports, the troubles with investigating, problems on affective characteristics, the difficulties of joining in a group, and the lack of inquiry abilities. The teachers give suggestions for effective application of the open inquiry activities: first, the teachers must encourage students' emotion and will in doing open inquiry activities, second, there must be the steady inquiry teaching and learning in ordinary elementary science classes. Based on the results, this study suggested that elementary teachers should concern specially about students' being unaccustomed to write reports and the troubles in doing scientific investigation.
It is simply not true that anyone who can speak English can teach it. Language teaching is both a science and an art; its methods are based on a theoretical foundation and implemented by techniques. However, at a time like the present, when the scientific justification for our methods seems to be uncertain, we should concern ourselves less with theory and more with developing techniques that work with our students. The success of language teaching must be evaluated by the effectiveness of the techniques used. The purpose of the present study is to suggest some useful techniques that the teacher can utilize in teaching English as a foreign language in the elementary school. The techniques suggested are based on the investigation of the characteristics peculiar to children. The investigation takes into account cognitive, affective, and linguistic factors affecting specific techniques. The goal of language teaching is communication and all techniques should move toward this end. The resourceful teacher will provide techniques which exact more and more from the students and less and less from the teacher.
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