• School Mathematics
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• v.8 no.2
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• pp.239-263
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• 2006

The purpose of the National Assessment of Educational Achievement(NAEA) is not only to assess educational progress and achievement but also to collect background information affecting educational achievement. It is important to know which factors affect the National Assessment of Educational Achievement(NAEA) and to explore how much those factors show the educational effect. In this study, first, we examined general characteristics of the survey with relation to the background information. Second, we analyzed the relationships between test scores and information on the students' profile such as background, extracurricular activities, and information on the school profile in NAEA 2004. Third, we suggested some educational policies on the basis of those analysis and indicated the limitation of this study.

• Educational Technology International
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• v.18 no.1
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• pp.27-47
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• 2017

Smart devices have a variety of affordances to foster meaningful learning in elementary school. For the design of smart learning environments, more research is needed to understand students' smart device usage and their perception of learning with smart devices. In order to capture smart device usage profiles among elementary school students in South Korea, this study carried out Latent Profile Analysis with three constructs: information search, communication, and study. Participants (n=253), who ranged from the fourth to the sixth grade students, were classified into three profiles of smart device usage: low-activity, communication, and high-activity groups. The smart device usage profiles varied depending on smartphone usage experience, and the profiles were significantly related with smart device addiction, not with smart device usage ability. Perceptions of smart education were also significantly associated with the profiles. The high-activity group showed more positive attitudes toward smart education than the others, but no significant difference was found in regard to negative attitudes. Based on the findings, this study discussed implications for the use of smart devices in elementary school.

• Journal of Internet Computing and Services
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• v.3 no.3
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• pp.19-29
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• 2002

Recently, cyber evaluation systems on the Web-based remote education do not consider the personalized characteristic and propensity of individual students. Especially, in setting of the questions far examination, the traditional simple and general methods for all students group have been used for evaluation. This paper proposes on efficient cyber evaluation system using user profile. First, questions are filtered by using user profile for the personalized characteristic and propensity of individual students, This personalized characteristic and propensity have been disregarded in traditional evaluation systems. And then, filtered questions are set for examination, Therefore, efficiency of the evaluation system is enhanced and students make good results from their study. When user profile is adapted, the setting method of question for examination have combined category-based method with keyword-based method. This make students get the interest and pleasure for questions.

• Journal of Preventive Medicine and Public Health
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• v.38 no.1
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• pp.53-60
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• 2005

Objectives : To identify the relationship between the internet addiction of adolescents and their Health Promotion Lifestyle Profile and Perceived Health Status, and thereby to detect the impact of internet addiction on the health of adolescents, produce the basic information necessary to develop a prevention program for internet addiction and to plan for a health promotion program. Methods : This study was designed as a cross-sectional study, and the subjects were the second-grade students of three junior-high and three high schools located in the city of K in Kyung Gi Province. Out of 769 subjects, 764 completed the questionnaires (99.3%); 369 (48.3%) junior-high school students and 395 (51.7%) high school students. The questionnaires were composed of Young's Internet Addiction, Health Promotion Lifestyle Profile, Perceived Health Status, and general characteristics. We used t-test, ANOVA in means comparison between groups, X2-test in frequency analysis, and multiple regression analysis in multivariate analysis, using the SAS $8.1^{\circledR}$ program. Results : There was a statistically significant difference in Health Promotion Lifestyle Profile according to internet addiction status (severe addiction vs. other status, p<0.0001). The Perceived Health Status scores was lowest in the severe addiction group (p<0.001). There was also a significant negative correlation between internet addiction and Health Promotion Lifestyle Profile (p<0.0001). The results of multiple regression showed that Young's Addiction Score was significant for the subjects' Health Promotion Lifestyle Profile after controlling for other variables (p<0.0001). Conclusions : This study showed that the severe internet addiction group had the lowest score in Health Promotion Lifestyle Profile and Perceived Health Status, which suggests that the addiction could have a negative effect on the health status of adolescents.

• The KIPS Transactions:PartD
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• v.11D no.1
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• pp.95-104
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• 2004

This paper proposes an efficient remote video evaluation system that is matched well with personalized characteristics of students using information filtering based on user profile. For making a question in forms of video, a key frame extraction method based on coordinate, size and color information is proposed. And Question-mating intervals are extracted using gray-level histogram difference and time window. Also, question-making method that combined category-based system with keyword-based system is used for efficient evaluation. Therefore, students can enhance their study achievement through both supplementing their inferior area and preserving their interest area.

• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.54-67
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• 1999

The purpose of this study were (1) to segment the female college students according to apparel shopping orientation and (2) to create a profile for each group with regard to impotance of store attributes, use of information sources, and self-image. The questionnaire were administered to the female college students living in Seoul and data were analyzed by frequency, percentage, factor analysis, cluster analysis, one-way ANOVA(analysis of variance), and MANOVA(multivariate analysis of variance). By cluster analysis of apparel shopping orientation factors, four groups are identified : (1) highly involved apparel shopper (44.34%), (2) brand-loyal shopper (24.43%), (3) planned / practical shopper, and (4) apathetic shopper (18.10%) Four groups were then compared through MANOVA on importance of store attributes, use of information, and self-image. Significant differences were found among four groups on three variables. In general. highly involved shopper tend not to be price conscious, enjoy shopping and use the information sources most actively and apathetic shoppers tend to be indifferent to apparel shopping and do not actively use the information sources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3836-3854
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• 2022

The student group division is benefit for universities to do the student management based on the group profile. With the widespread use of student smart cards on campus, especially where students living in campus residence halls, students' daily activities on campus are recorded with information such as smart card swiping time and location. Therefore, it is feasible to depict the students with the daily activity data and accordingly group students based on objective measuring from their campus behavior with some regular student attributions collected in the management system. However, it is challenge in feature representation due to diverse forms of the student data. To effectively and comprehensively represent students' behaviors for further student group division, we proposed to adopt activity data from student smart cards and student attributes as input data with taking account of activity and attribution relationship types from different perspective. Specially, we propose a novel student group division method based on a multi-view student attribute heterogeneous information network (MSA-HIN). The network nodes in our proposed MSA-HIN represent students with their multi-dimensional attribute information. Meanwhile, the edges are constructed to characterize student different relationships, such as co-major, co-occurrence, and co-borrowing books. Based on the MSA-HIN, embedded representations of students are learned and a deep graph cluster algorithm is applied to divide students into groups. Comparative experiments have been done on a real-life campus dataset collected from a university. The experimental results demonstrate that our method can effectively reveal the variability of student attributes and relationships and accordingly achieves the best clustering results for group division.

• The korean journal of orthodontics
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• v.44 no.4
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• pp.184-194
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• 2014

Objective: To evaluate the relative importance of bilabial prominence in relation to other facial profile parameters in a normal population. Methods: Profile stimulus images of 38 individuals (28 female and 10 male; ages 19-25 years) were shown to an unrelated group of first-year students (n = 42; ages 18-24 years). The images were individually viewed on a 17-inch monitor. The observers received standardized instructions before viewing. A six-question questionnaire was completed using a Likert-type scale. The responses were analyzed by ordered logistic regression to identify associations between profile characteristics and observer preferences. The Bayesian Information Criterion was used to select variables that explained observer preferences most accurately. Results: Nasal, bilabial, and chin prominences; the nasofrontal angle; and lip curls had the greatest effect on overall profile attractiveness perceptions. The lip-chin-throat angle and upper lip curl had the greatest effect on forehead prominence perceptions. The bilabial prominence, nasolabial angle (particularly the lower component), and mentolabial angle had the greatest effect on nasal prominence perceptions. The bilabial prominence, nasolabial angle, chin prominence, and submental length had the greatest effect on lip prominence perceptions. The bilabial prominence, nasolabial angle, mentolabial angle, and submental length had the greatest effect on chin prominence perceptions. Conclusions: More prominent lips, within normal limits, may be considered more attractive in the profile view. Profile parameters have a greater influence on their neighboring aesthetic units but indirectly influence related profile parameters, endorsing the importance of achieving an aesthetic balance between relative prominences of all aesthetic units of the facial profile.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.37-42
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• 2010

Final year students are normally encountering high pressing in their study. In view of this fact, this research focuses on determining mental states condition of college student in final year based on the psycho-physiological information. The experiments were conducted in two times, i.e., prior- and post- graduation seminar examination. The early results indicated that the student profile of mood states (POMS) in prior final graduation seminar showed higher scores than students in post final graduation seminar. Thus, in this research, relation between biosignal representing by heart rate variability (HRV) and questionnaire responses were evaluated by hidden Markov model (HMM) and neural networks (NN).

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.227-234
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• 2023

In this paper, we developed a design thinking-based artificial intelligence education program for middle school students and applied it to verify the impact on creative problem-solving skills. The inspection tool used the Creative Problem Solving Profile Inventory (CPSPI), an inspection tool for measuring creative thinking type ability based on the CPS theory of Hwasun Lee, Jungmin Pyo, Insoo Choe(2014). CPSPI included the steps of evaluating cognitive preferences and cognitive abilities by supplementing the limitations of existing tests, and sharing and persuading one's ideas with others. Before and after applying the design thinking-based artificial intelligence education program, as a result of analyzing the creative problem-solving ability, it increased significantly in all areas. As a result of analyzing the creative problem-solving ability of middle school students, significant results were found in the areas of Problem Detection and Analysis, Idea Generation, Action plan, Execution, Persuasion and Communication. The effect of design thinking was confirmed as a teaching and learning method to improve creative problem-solving ability in artificial intelligence education.