• Journal of The Korean Association For Science Education
• /
• v.17 no.4
• /
• pp.415-423
• /
• 1997

The purposes of this study were to investigate the intercorrelations among various motivational patterns and learning strategies and to examine the differences in motivation and strategy usage in terms of students' science achievement level, gender, and grade. A questionnaire on achievement goal, self-efficacy, self-concept of ability, expectancy, value, causal attributions, and learning strategies was administered to 360 junior high/high school students (178 males, 182 females). Students who adopted performance-oriented goal tended not to be task oriented. Task-oriented students had high levels of self-efficacy, high self-concept of ability, and expectancies for future performance in science. They also valued science and attributed thier failures to the lack of effort. However, performance-oriented students evaluated their ability negatively, did not value science, and attributed thier failures to uncontrollable causes. With respect to learning strategy, task-oriented students tended to use deep-level strategy, whereas performance-oriented students tended to use surface-level strategy and not to use deep-level strategy. High-achieving students, boys, and junior high school students were more task-oriented, evaluated their ability more positively, and valued science more than low-achieving students, girls, and high school students, respectively. High-achieving students and boys also used deep-level strategy more than each of their counterparts. However, no significant difference in learning strategy was found between junior high school students and high school students. Educational implications of these findings are discussed.

• Journal of Science Education
• /
• v.39 no.3
• /
• pp.418-433
• /
• 2015

In this study, we investigated the cognitive characteristics of low science achieving middle school students in K-WISC-IV, and compared the results with high science achieving and achieving students. The results showed us that high science achieving students scored higher than counterparts in FSIQ. Low science achieving students scored lower than high science achieving and achieving students in VCI. Especially low science achieving students scored lower than two groups in subtest SI. The low level of abstraction in low science achieving students is due to the lack of scientific reasoning ability. Therefore subtest SI is considered as highly discriminating test for low science achieving group. Low levels in verbal comprehension, abstraction and reasoning ability are the major factors in poor school performance. High science achieving students scored more than achieving and low achieving students in WMI. Because the working memory is involved in scientific reasoning problem solving process, it is believed to play an important role in science achieved.

• Journal of Gifted/Talented Education
• /
• v.20 no.3
• /
• pp.885-899
• /
• 2010

The purpose of this research project is to explain why high-achieving high school students in our country do or do not choose a science major and to explore gender differences. First-year students attending science high schools and international high school participated, responding to open-ended questions on science activities, self-concept of strengths for science learning, and rationales for choosing or not choosing a science major. For high- achieving students, it is shown that intrinsic interest has the greatest correlation with choosing a science major, with the next important influence being self-efficacy. On the other hand, in not choosing a science major, the lack of self-efficacy has a greater correlation than the lack of intrinsic interest. Self-concept in science-learning and science activities occurring outside of school classes are also compared and analyzed, and implications are discussed from educational and policy viewpoints.

• Journal of Gifted/Talented Education
• /
• v.24 no.5
• /
• pp.877-892
• /
• 2014

This Study was to examine whether high school students' autonomy support and beliefs of intelligence ability influence their self-regulated strategies. Of the 600 high school students surveyed from 3 high schools in two metropolitan cities, Korea, 478 completed and returned the questionnaires yielding a total response rate of 79.7%. Among the final sample consisted of 109 gifted students (22.8%), 190 high-achieving non-gifted students (39.7%), and low-achieving non-gifted students (37.4%). Measures of students' perceived autonomy support (i.e. from parents, teacher, peer), beliefs of intelligence ability (i.e. incremental, entity) and self-regulated strategies (i.e. managing environment and behavior, seeking and learning information, maladaptive regulatory behavior). Spearman's rho(${\rho}$) indicated that students' achieving level was positively associated with autonomy support (i.e. parents, teacher), beliefs of intelligence ability (i.e. incremental) and self-regulated strategies (i.e. managing environment and behavior, seeking and learning information). However, students' achieving level was negatively associated with beliefs of intelligence ability (i.e. entity) and self-regulated strategies (i.e. maladaptive regulatory behavior). Hierarchical multiple regression analyses showed that students' perceived autonomy support (i.e. from teacher) and beliefs of intelligence ability (i.e. incremental) were the crucial contributors for enhancing students' self-regulated strategies. Results are discussed in relation to theoretical implications and school settings.

• School Mathematics
• /
• v.12 no.4
• /
• pp.547-561
• /
• 2010

Even though statistics is considered as one of the areas of mathematical science in the school curriculum, it has been well documented that statistics has distinct features compared to mathematics. However, there is little empirical educational research showing distinct features of statistics, especially research into the understanding of statistical concepts which are different from other areas in school mathematics. In addition, there is little discussion of a relationship between the ability of mathematical thinking and the ability of understanding statistical concepts. This study extracted some important concepts which consist of the fundamental statistical reasoning and investigated how mathematically high achieving students understood these concepts. As a result, there were both kinds of concepts that mathematically high achieving students developed well or not. There is a weak correlation between mathematical ability and the level of understanding statistical concepts.

• Korean Medical Education Review
• /
• v.14 no.2
• /
• pp.59-63
• /
• 2012

Current medical students are a distinct new generation who can be distinguished from the previous generation. Therefore, a clear understanding of their characteristics is vital in developing an appropriate educational program for them. The purpose of this article is to explore the characteristics of the current generation of high achieving medical students. Notable characteristics that define this generation include the following: they feel they are special, and they are sheltered, confident, highly optimistic, pressured, conventional, and have a strong desire to achieve. They are the digital generation, who can obtain information through various forms of technology. Furthermore, they are high achieving students in highly competitive educational environments. It has been suggested that various teaching methods be used in the medical school classroom. Using digital methods could be crucial in providing high-quality medical education. Educators should pay more attention to students' psychosocial development and help them to effectively cope with their academic stress.

• The Mathematical Education
• /
• v.45 no.3 s.114
• /
• pp.251-262
• /
• 2006

This study investigates 628 high school students' math dislike tendencies by their math achievement levels. The findings show that, firstly, as the sample students' math achievement level decreases, the number of dislike factors increase. Secondly, students' math dislike factors are differentiated by their math achievement levels. Math high achievers show high math disliking tendency by teacher factor. Middle achievers show high math disliking tendency by complex application and relation factors. Low achievers show high math disliking tendency by comprehension factor. Finally the math disliking factors affecting the level of math achievement are influenced by schools and grades that students' attend. While math disliking factors such as comprehension factor, teacher factor, affection factor are generally present among sample schools, exceptionally JS high school students(high achieving students) are only affected by mentality factor. In addition, mentality factor affects the second grade students only. The implications of the study argue that students' math disliking tendencies could be systematically reduced by paying attention to such dependent variables students' achievement levels, grade, school characteristics, and independent variables including teacher, application, mentality, comprehension, and affection.

• Research in Mathematical Education
• /
• v.26 no.3
• /
• pp.167-202
• /
• 2023

A central problem of mathematics teaching worldwide is probably the insufficient adaptive handling of tasks-especially in computational practice phases and modeling tasks. All students in a classroom must often work on the same tasks. In the process, the high-achieving students are often underchallenged, and the low-achieving ones are overchallenged. This publication uses different modeling of the tennis serve as an example to show a possible solution to the problem and develops and discusses one adaptive task each for middle school, high school, and college using three mathematical models of the tennis serve each time. From model to model within the task, the complexity of the modeling increases, the mathematical or physical demands on the students increase, and the new modeling leads to more realistic results. The proposed models offer the possibility to address heterogeneous learning groups by their arrangement in the surface structure of the so-called parallel adaptive task and to stimulate adaptive mathematics teaching on the instructional topic of mathematical modeling. Models A through C are suitable for middle school instruction, models C through E for high school, and models E through G for college. The models are classified in the specific modeling cycle and its extension by a digital tool model, and individual modeling steps are explained. The advantages of the presented models regarding teaching and learning mathematical modeling are elaborated. In addition, we report our first teaching experiences with the developed parallel adaptive tasks.

• The Mathematical Education
• /
• v.57 no.4
• /
• pp.329-352
• /
• 2018

This study analyzed each process of demand analysis(A), design(D), development(D), implementation(I) and evaluation(E) of the program to support mathematics learning of students with under-achievement of math in high school. To analyze the demand, a survey was conducted on 235 high school math teachers and 334 high school students who were under-achieved in mathematics. To design and develope the program, this study linked middle school math to high school math so that the students with poor math learning could easily participate in mathematics learning. The programs developed in this study were implemented in three high schools, where separate classes were organized and run for students with poor math learning. The evaluation of the programs developed in this study was done in two ways. One was a quantitative evaluation conducted by five experts, and the other was a qualitative evaluation conducted through interviews with teachers and students participating in the program. This study found that students with poor mathematics learning were more motivated to learn, started to do mathematics, and encouraged to be confident when using learning materials that included easy problems and detailed solutions that they could solve themselves. From these results, the following three implications can be derived in developing a program to support students who are experiencing poor mathematics learning in high school. First, we should develop learning materials that link middle school mathematics to high school mathematics so that students can supplement middle school mathematics related to high school mathematics. Second, we need to develop learning materials that include detailed solutions to basic examples and include homogeneous problems that can be solved while looking at the basic example's solution process. Third, we should avoid the challenge of asking students who are under-achieving to respond too openly.

• Journal of The Korean Association For Science Education
• /
• v.32 no.8
• /
• pp.1367-1377
• /
• 2012

Inquiry activity is a major source of student investigation which both of the national curriculum standards strongly emphasize for achieving scientific literacy. The purpose of this study was to examine inquiry activities incorporated in high school biology textbooks used in China and Korea. The inquiry activities were examined with regard to inquiry level and science process skills. Bell's and a modification of Padilla's framework were used in these analyses. Results show that the Korean textbooks were more exclusively occupied by simple inquiry activities - None of them provided activity more complex than level 2 inquiry. In addition, the Korean textbooks had uniformly basic science process skills, whereas their Chinese counterparts gave students some challenges for higher level process skills. Therefore, it cannot be guaranteed that the activities in the Korean textbooks are helpful in guiding students toward a gradual progression to high-level inquiry. Implications for inquiry-based science education were suggested based on the results of the study.