• 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.

• Education of Primary School Mathematics
• /
• v.16 no.3
• /
• pp.285-301
• /
• 2013

The purpose of the study is to analyze the 4th graders' visual representation in mathematics problem solving process and to find out how to teach the visual representation in mathematics problem solving process. on the basis of the results, this study gives several pedagogical implication related to the mathematics problem solving. The following were the conclusions drawn from the results obtained in this study. First, The achievement level of students and using visual representation in the mathematics problem solving are closely connected. High achieving students used visual representation in the mathematics problem solving process more frequently. Second, high achieving students realize the usefulness of visual representation in the mathematics problem solving process and use visual representation to solve mathematical problem. But low achieving students have no conception that visual representation is one of the method to solve mathematical problem. Third, students tend to especially focus on 'setting up an equation' when they solve a mathematical problem. Because they mostly experienced mathematical problems presented by the type of 'word problem-equation-answer'. Fourth even through students tried visual representation to solve a mathematical problem, they could not solve the problem successfully in numerous instances. Because students who face a difficulty in solving a problem try to construct perfect drawing immediately. But generating visual representation 2)to represent mathematical problem cannot be constructed at one swoop.

• The Mathematical Education
• /
• v.62 no.1
• /
• pp.57-78
• /
• 2023

Students' engagement in lessons not only determines the direction and result of the lessons, but also affects academic achievement and continuity of follow-up learning. In order to provide implications related to teaching strategies for encouraging students' engagement in elementary mathematics lessons, this study implemented lessons for middle-low achieving fifth graders using open-ended tasks and analyzed characteristics of students' engagement in the light of the framework descripors developed based on previous research. As a result of the analysis, the students showed behavioral engagement in voluntarily answering teacher's questions or enduring difficulties and performing tasks until the end, emotional engagement in actively expressing their pleasure by clapping, standing up and the feelings with regard to the topics of lessons and the tasks, cognitive engagement in using real-life examples or their prior knowledge to solve the tasks, and social engagement in helping friends, telling their ideas to others and asking for friends' opinions to create collaborative ideas. This result suggested that lessons using open-ended tasks could encourage elementary students' engagement. In addition, this research presented the potential significance of teacher's support and positive feedback to students' responses, teaching methods of group activities and discussions, strategies of presenting tasks such as the board game while implementing the lessons using open-ended tasks.

• Korean Journal of Cognitive Science
• /
• v.28 no.3
• /
• pp.149-171
• /
• 2017

In this research, based on the fact that spatial ability is important for the achievement in the STEM fields, and technological innovation, Purdue Spatial Visualization Test-Rotation has been used to investigate engineering freshmen's spatial ability and gender differences. Students who have taken advanced mathematics courses in high school(those who have taken type B math test in Korean SAT test) and students with general math courses(those who have taken type A in Korean SAT-Math test) are included in this study to find out the relationship between mathematics achievement and spatial ability. Finding out the strategies taken by students was another aim of this study. This strategic differences between high achievers and lower achievers, male and female students were analyzed from students' self report. Spatial ability test score was highest in the SAT-Math type B male students, decreased in the order of type A male students, type B female students, and lastly type A female students. There was no substantial difference between second and third groups. In each group, male students' average score was 8~10% higher than female students, which affirms 2015's results. The correlation between spatial ability and mathematics achievement was negligible in each group, but male students' math score and spatial ability score were higher than that of female students. This can be interpreted that there is some correlation between these two. Strategic choices can vary in the continuous spectrum with analytic method and holistic method at both ends. From students' self report, using Mann-Witney test, it turned out that there exists strategic differences between male and female students. Male students have a tendency to use holistic strategy more often than female students. I also found that the strategy choice did not vary greatly among all score groups. For the perfect score groups, both female and male students used holistic strategy most frequently. For low achieving groups, there is an evidence that these students overuse one method compared to average or high achieving groups, which turned out to be less effective. Based on these, I suggest that low achieving students need to have more chances to adopt efficient strategies and to practice challenging problems to improve their spatial abilities.

• The Mathematical Education
• /
• v.52 no.4
• /
• pp.497-516
• /
• 2013

Inspite of many strengthens of storytelling mathematics education, some problems are expected: when math is taught in concrete contexts, students may have trouble to extract concepts, to transfer to noble and abstract contexts, and they may experience inert knowledge problem. Low achieving students are particularly prone to these issues. To solve these problems some suggestions are made by the author. These are analogous encoding and progressive formalism. Using analogous encoding method students can construct concepts and schema more easily and transfer knowledge which shares structural similarity. Progressive formalism is an effective way of introducing concepts progressively moving from concrete contexts to abstract context.

• Journal of Gifted/Talented Education
• /
• v.25 no.6
• /
• pp.905-926
• /
• 2015

This study examined differences among high, medium, and low achievers' motivation, self-regulation strategy, and learning style in an online gifted program. The sample included 788 middle and high school students who participated in the 3-months online gifted program. Participants volunteerly completed 60 questions on their motivation, self-regulation strategy use, and learning style. Multivariate analysis of variance(MANOVA) was conducted for data analysis using SPSS 19.0. The results of this study showed that (1) as levels of students' achievement increased, levels of intrinsic motivation increased as well; (2) statistically significant differences also existed on the levels of elaboration strategy, effort management, and time management strategy use among three levels of achievement and (3) no significant differences in students' learning style preference were found between competitive or cooperative learning style. To sum up, high achieving students' levels of intrinsic motivation, elaboration strategy, effort management strategy, and time management strategy use were the highest compared to medium and low achieving students.

• International Journal of Contents
• /
• v.12 no.2
• /
• pp.49-57
• /
• 2016

This paper aims to explore instructional design of a cyber classroom for secondary students' basic English language competence. A paucity of support for low or under achieving students' English learning exists particularly at the secondary level. In order to bridge the gap, there has been demand for online educational resources considered to be an effective tool in improving students' self-directed learning and motivation. This study employs a comprehensive approach to instructional design for the asynchronous cyber classroom with the underlying premise that different learning theories can be applied in a complementary manner to serve different pedagogical purposes best. Gagné's conditions of learning theory, Bruner's constructivist theory, Carroll's minimalist theory, and Vygotsky's social cognitive development theory serve as the basis for designing instruction and selecting appropriate media. The ADDIE model is used to develop online teaching and learning materials. Twenty-five key grammatical features were selected through the analysis of the national curriculum of English, being grouped into five units. Each feature is covered in one cyber asynchronous class. An Integration Class is given at the end of every five classes for synthesis, where students can practice grammatical features in a communicative context. Related theories, pedagogical practices, and practical web-design strategies for cyber Basic English classes are discussed with suggestions for research, practice and policy to support self-directed learning through a cyber class.

• Journal of Gifted/Talented Education
• /
• v.24 no.1
• /
• pp.1-16
• /
• 2014

This study was to examine whether high school students' academic motivation and learning strategies influence their competence. Of the 600 high school students surveyed from 3 high schools in two metropolitan cities, Korea, 489 completed and returned the questionnaires yielding a total response rate of 81.50%. The final sample consisted of 399 males (81.6%) and 82 females (16.8%). Among the final sample, 113 students were gifted, and 376 students were non-gifted. Their average age was 17.20 years. Measures of students' competence (i.e., cognitive competence, and social competence), academic motivation (i.e., intrinsic motivation to know, toward accomplishment, and to experience stimulation, and extrinsic motivation identified, introjected, and external regulation, and amotivation), and learning strategies (i.e., metacognition, self-monitoring, strategy formation) Spearman's rho(${\rho}$) indicated that students' competence was positively associated with intrinsic (i.e., to know, toward accomplishment, to experience stimulation) and extrinsic (i.e., identified, introjected) motivation, and learning strategies. However, students' competence was negatively associated with amotivation. Hierarchical multiple regression analyses showed that intrinsic motivation (i.e., to experience stimulation), extrinsic motivation(i.e., external regulation), and learning strategies (i.e., strategy formation) were the crucial contributors for enhancing students' competence. Results are discussed in relation to theoretical implications and school settings.

• Journal of The Korean Association For Science Education
• /
• v.32 no.7
• /
• pp.1109-1123
• /
• 2012

The purpose of this study is to examine the effects of small group discussion on elementary students' science writing. In this study, four 6th grade students were chosen from an elementary school in Seoul. Students were involved in eight science writing classes and the contents of a small group discussion and interactions were recorded and observed. Students' science works were collected and analysed based on three domains: scientific thinking, logic and originality. The result of this study showed that the contents of a small group discussion greatly affected the scientific thinking domain. A low-achieving student received lots of help from a high-achieving student. It was easy to improve in the logic domain through the science writing classes. Average students got good grades in an originality domain when the subject was related to their real life. A small group discussion would have an effect on science writing ability positively if the students acquired proper guidance on the procedure and manner of discussion. The science writing lesson would be more effective if the learning group was organized homogeneously in the aspects of intelligence achievement and interpersonal relationships.

• The Mathematical Education
• /
• v.61 no.2
• /
• pp.257-271
• /
• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.