• Korea Science and Art Forum
• /
• v.25
• /
• pp.227-240
• /
• 2016

This study aims to examine how visitors in science centers interact with gesture-based exhibits from embodied cognition perspectives. Four gesture-based exhibits in two science centers were selected for this study. In addition, we interviewed a total of 14 visitor groups to examine how they perceived the property of gesture-based exhibit. We also interviewed four experts to further examine the benefits and limitations of the current gesture-based exhibits in science centers. The research results indicate that the total amount of interaction time between visitors and gesture-based exhibits was not high overall, implying that there was little of visitors' immersive engagement. Both experts and visitors expressed that the current gesture-based exhibits tend to highlight the novelty effect but little obvious impacts linking gestures and learning. Drawing from the key findings, this study suggests the following design considerations for gesture-based exhibits. First, to increate visitor's initial engagement, the purpose and usability of gesture-based exhibits should be considered from the initial phase of design. Second, to promote meaningful interaction, it is important to sustain visitors' initial engagement. For that, gesture-based exhibits should be transformed to promote intellectual curiosity beyond simple interaction. Third, from embodied cognition perspectives, exhibits design should reflect how the mappings between specific gestures and metaphors affect learning processes. Lastly, this study suggests that future gesture-based exhibits should be designed toward promoting interaction among visitors and adaptive inquiry.

• Communications of Mathematical Education
• /
• v.37 no.1
• /
• pp.65-84
• /
• 2023

The method of Lagrange multipliers, one of the most fundamental algorithms for solving equality constrained optimization problems, has been widely used in basic mathematics for artificial intelligence (AI), linear algebra, optimization theory, and control theory. This method is an important tool that connects calculus and linear algebra. It is actively used in artificial intelligence algorithms including principal component analysis (PCA). Therefore, it is desired that instructors motivate students who first encounter this method in college calculus. In this paper, we provide an integrated perspective for instructors to teach the method of Lagrange multipliers effectively. First, we provide visualization materials and Python-based code, helping to understand the principle of this method. Second, we give a full explanation on the relation between Lagrange multiplier and eigenvalues of a matrix. Third, we give the proof of the first-order optimality condition, which is a fundamental of the method of Lagrange multipliers, and briefly introduce the generalized version of it in optimization. Finally, we give an example of PCA analysis on a real data. These materials can be utilized in class for teaching of the method of Lagrange multipliers.

• Journal of The Korean Association For Science Education
• /
• v.26 no.4
• /
• pp.518-526
• /
• 2006

Science career education is for every student as well as for students who want to become scientists. In this study, we developed and applied science career education materials using TV programs which showed successful application of science in industry and business. The effects of the programs were surveyed mainly by questionnaire on 'Science Career Orientation', which have four categories.Video materials using TV programs were effective in changing science career orientation (p<0.05) of junior high school students, but only when the teacher added some cognitive explanation on the scientific concept involved. Providing only video materials were not enough to make meaningful change on science career orientation. The results implied science career education should be linked with science teaching and learning. It also showed the possibility and the way of using informal education like TV program in science career education.

• Journal of the Korean School Mathematics Society
• /
• v.16 no.3
• /
• pp.499-518
• /
• 2013

The purpose of this study is to examine the preservice secondary mathematics teachers understanding and dimensions of knowledge about definition of irrational numbers and irrational numbers and operations. I adopted a framework consisting of formal dimensions, intuitive numbers, algorithmic dimentions suggested by Tirosh et al.(1998) by adding instrumental dimension for his study. I surveyed 65 preservice secondary mathematics teachers who are in bachelor program and post-bachelor program for teacher certificate by using a questionnaire suggested by Sirotic and Zazkis(2007). The results of this study suggest that 83.1% of the participants gave correct answers in definitions of irrational numbers. 43% of the preservice secondary teachers gave correct answers in adding with irrational numbers. Also 91% of the preservice teachers gave correct answers in multiplying irrational numbers. The preservice teachers appeared to understand irrational numbers and operations at formal dimension. More than half of the preservice teachers gave incorrect answers in adding irrational numbers and a few participants gave incorrect in multiplying irrational numbers. The preservice teachers seemed to understand irrational numbers and operations at intuitive or instrumental dimension. The results also suggest that the preservice secondary mathematics teachers have incorrect understanding about irrational numbers.

• Journal of the Korean Chemical Society
• /
• v.59 no.3
• /
• pp.246-252
• /
• 2015

In this study, we examined elementary school teachers' needs for environmental education (EE) in order to effectively implement EE in the elementary school. The participants were 113 elementary school teachers in Chungcheongnam-Do. Twenty items were adapted from the Environmental Education Needs test, and the teachers were asked to respond to each item on a 5-point Likert scale. For the items of the subcategory of EE training, teachers' preferences between the on-site and the online training were also asked. Although the teachers showed relatively strong needs for most items of both the subcategories of EE service and EE training, they exhibited stronger needs for the items related to the services and/or the content of training readily applicable to EE classes. Teachers preferred the online training to the on-site training in most items whereas their preferences to the on-site training tended to be relatively high in the items such as the use of local nonformal EE site, the development and the use of outdoor EE site, and the EE teaching strategies. Educational implications for the effective EE are discussed.

• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.87-98
• /
• 2012

Understanding agent's intent is an essential component of the human-computer interaction of ubiquitous computing. Because correct inference of subject's intention in ubiquitous computing system helps particularly to understand situations that involve collaboration among multiple agents or detection of situations that can pose a particular activity. This paper, inspired by people have a mechanism for interpreting one another's actions and for inferring the intentions and goals that underlie action, proposes an approach that allows a computing system to quickly recognize the intent of agents based on experience data acquired through prior capabilities of activities recognition. To proceed intention recognition, proposed method uses formulations of Hidden Markov Models (HMM) to model a system's prior experience and agents' action change, then makes for system infer intents in advance before the agent's actions are finalized while taking the perspective of the agent whose intent should be recognized. Quantitative validation of experimental results, while presenting an accurate rate, an early detection rate and a correct duration rate with detecting the intent of several people performing various activities, shows that proposed research contributes to implement effective intent recognition system.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.10 no.1
• /
• pp.85-94
• /
• 2017

In this paper, I proposed a sound model generation and a most frequent model search algorithm for recognizing animal vocalization. The sound model generation algorithm generates a optimal set of models through repeating processes such as the training process, the Viterbi Search process, and the most frequent model search process while adjusting HMM(Hidden Markov Model) structure to improve global recognition rate. The most frequent model search algorithm searches the list of models produced by Viterbi Search Algorithm for the most frequent model and makes it be the final decision of recognition process. It is implemented using MFCC(Mel Frequency Cepstral Coefficient) for the sound feature, HMM for the model, and C# programming language. To evaluate the algorithm, a set of animal sounds for 27 species were prepared and the experiment showed that the sound model generation algorithm generates 27 HMM models with 97.29 percent of recognition rate.

• Journal of the Korean School Mathematics Society
• /
• v.20 no.4
• /
• pp.495-519
• /
• 2017

The purpose of this study is to analyze the concept of the real number e and to investigate the understanding of pre-service teachers about the real number e. 28 pre-service teachers were asked to take a test based on the various ideas of the real number e and 8 pre-service teachers were interviewed. The results of this study are as follows. First, a large number of pre-service teachers couldn't recognize relation between the formal definition and the representations of the real number e. Secondly, pre-service teachers judged appropriately for the irrationality and the construction impossibility of the real number e, but they couldn't provide reasonable evidence. Lastly, pre-service teachers understood the continuous compounding context and exponential function context of the real number e, but they had a difficulty in understanding the geometric context and natural logarithm context of the real number e.

• Journal of Korean Academy of Nursing
• /
• v.48 no.4
• /
• pp.407-418
• /
• 2018

Purpose: The purpose of this study was to develop an eye-health program based on social learning theory (EPST) of preschoolers and evaluate its effectiveness. Methods: A nonequivalent control group pre-post test design was utilized and 141 six-year-old preschoolers and their parents participated (experimental group=69, control group=72) in the study. The EPST in this study included eye-health education and eye exercises. Attention, memory, replay, motivation, reinforcement, and self-efficacy were used as interventional strategies. To examine the effectiveness of EPST, proficiency in eye-health activities, refractive power, and visual acuity were measured before and after the intervention. Data were analyzed with SPSS WIN 21.0 using the Shapiro-Wilk test, ${\chi}^2$-test, Mann-Whitney U test and Wilcoxon signed rank test. Results: Following the intervention, eye-health activities, refractive power, and visual acuity significantly improved in the experimental group compared to the control group. Conclusion: The results of this study suggest that EPST is effective in improving eye-health activities, refractive power, and visual acuity in preschoolers, and its wider implementation in educational institutions will promise improved eye-health among preschoolers.

• Journal of KIISE:Software and Applications
• /
• v.32 no.4
• /
• pp.277-289
• /
• 2005

To overcome the long design time/high computational effort/low computational performance of phylogenetic learning featuring selection and reproduction, this paper proposes a genetic representation based on XML. Since genetic programs (GP) and genetic operations of this representation are maintained by the invocation of the built-in off-the-shelf XML parser's API, the proposed approach features significant reduced time consumption of GP design process. Handling only semantically correct GPs with standard XML schema can reduce search space and computational effort. Furthermore, computational performance can be improved by the parallelism of GP caused by the utilization of XML, which is a feasible system and wire format for migration of genetic programs in heterogeneous distributed computer environments. To verify the proposed approach, it is applied to the evolution of social behaviors of multiple agents modeling the predator-prey pursuit problem. The results show that the approach can be applied for fast development and time efficiency of GPs.