The Effect of Learners’ Characteristics on Learning Performance in Non-Face-To-Face Liberal Arts Coding Class

Aeri Lee(Aeri Lee) J-INSTITUTE 2022 Robotics & AI Ethics Vol.7 No.2

Purpose: In this study, we investigate the characteristics of learners in the liberal arts coding class and study the relationship between learners’ characteristics and learning outcomes to find methods to enhance learning performance. Through this study, we intend to provide the basic data to be used by the schools and educators operating coding education in the real world to establish the teaching strategy for coding education according to the characteristics of the learners. Method: The collected data was analyzed using SPSS 23, as follows. The reliability of the measurement tools on self-efficacy, learning interest, learning motivation, digital literacy, and learning satisfaction were calculated and verified. Through a survey, data on self-efficacy, learning motivation, digital device efficacy, learning satis-faction, and academic achievement were collected and descriptive statistical analysis was performed to identify trends. We performed multiple regression analyses with self-efficacy, learning motivation, and digital device ef-ficacy as independent variables, whereas learning satisfaction and academic achievement as dependent varia-bles. Before the regression analysis, a Pearson correlation analysis was performed between self-efficacy, learning motivation, digital device efficacy, learning satisfaction, and academic achievement to confirm the significance of the relationship between the measurement variables. Results: The significance test results of the regression model showed that self-efficacy and digital device effi-cacy had a positive effect on learning satisfaction and learning motivation and digital device efficacy also had a positive effect on academic achievement. In other words, we evaluated that higher self-efficacy and digital device efficacy lead to higher learning satisfaction whereas higher learning motivation and digital device efficacy lead to higher academic achievement. Conclusion: Through this study, we confirmed that learners’ characteristics have a high influence on both learning satisfaction and academic achievement. In the future study, we plan to add multiple factors of learners’ characteristics that affect learning performance and studies on educators’ characteristics to obtain various and meaningful results.

한국산업기술대학교에서의 국제 무인 태양광 자동차 경주대회를 위한 차량 제작

이상민(Sangmin Lee),이건준(Gunjun Lee),양병창(Byungchang Yang),채윤병(Yoonbyung Chae),하태균(Taekyun Ha),이호연(Hoyeon Lee),고광훈(Kwanghoon Ko),차애리(Aeri Cha),이강원(Kangwon Lee) 한국자동차공학회 2012 한국자동차공학회 학술대회 및 전시회 Vol.2012 No.11

최근의 자율 주행 기능의 발전에 발맞추어 지식경제부 후원으로 무인태양광 자동차 경주대회가 2012 년 10 월 개최되어 모두 10 개 대학팀과 한 개 산업체 팀이 참여하였다. 이 논문에서는 한국산업기술대학교 출전 차량에 대해 설명하고자 한다.

Analysis of the Effectiveness of Online Education of Liberal Arts Coding Classes in the AI Era: The Mediating Effect of Learning Flow

Aeri Lee J-INSTITUTE 2022 Robotics & AI Ethics Vol.7 No.1

Purpose: This study aims to analyze the effectiveness of online education in liberal arts coding classes that have different characteristics from general online theory classes. Through this, it is a study conducted to find out what factors to pay attention to in order to increase the educational effect of online liberal arts coding classes and to derive various implications for improving learners learning outcomes in online liberal arts coding classes. Method: To this end, a survey was conducted on 125 college students who took coding classes. SPSS/WIN 23.0 was used for data analysis, and multiple regression analysis was performed by using learning motivation, class content, and learning flow as independent variables, and inputting learning satisfaction and academic achievement as dependent variables. In order to find out the mediating effect of learning flow, a hierarchical regression analysis proposed by Baron and Kenny was conducted, and the significance of the mediating effect was additionally verified through the Sobel test. Results: In online liberal arts coding classes, learning motivation and class content were found to have a direct effect on academic achievement. There was no mediating effect of learning flow in the relationship between learn-ing motivation, class content, and academic achievement. In online liberal arts coding classes, learning flow was found to have a complete mediating effect in the relationship between learning motivation and learning satisfaction. In addition, learning flow was found to partially mediate between class content and learning satisfaction. Conclusion: Through this study, it can be confirmed that learning motivation and class content factors directly affect academic achievement and significantly affect learning satisfaction of online liberal arts coding classes through learning flow.

Percutaneous Absorption and Bioconversion of Provitamin for Vitamin C and E : Experimental and Mathematical Approach for simultaneous Diffusion and Bioconversion

( AeRi Cho Lee ) 한국약제학회 1990 한국약제학회 총회 및 학술대회 요지집 Vol.- No.-

Analyzing the Effects of AI Education Program based on AI Tools

Aeri Lee J-INSTITUTE 2021 Robotics & AI Ethics Vol.6 No.2

Purpose: In recent years, AI technology has emerged as a core technology for the fourth industrial revolution. Along with the existing SW education, it is time to prepare for AI education, since the interest in AI education is also growing. The fact that learning about the theory and principles of AI is important is also stressed in the college education. However, non-major students tend to perceive AI technology to be difficult, and hence, a more efficient AI education is required. The purpose of this research is to guide the learners direction for AI education, helping them to break away from their fears of AI through the AI education appropriate for the learners’ level. Method: In this study, to analyze the effect of the developed educational program on the learners’ AI literacy, the dependent variables changed before and after the application of the program were analyzed, and the single group’s ex ante and ex post testings were applied for the designing method for inferring the causal relationship. Results: The AI literacy of undergraduate students was analyzed for the educational program via the ex ante and ex posts testings of a single group by operating this program. As a result of the analysis, significant results were obtained where all three areas of the AI literacy were improved through the educational program Conclusion: This study is meaningful in that the AI educational program was proposed for the liberal arts class at college for the non-majors, and that the AI educational program which is generally applicable for the liberal arts class was developed and directly applied to validate its effectiveness. Discussions are expected to continue to develop the various details of the AI basic education to ensure that the non-majors can enter the AI education without fearing the AI based on the results of this study.

Landing with Visual Control Reveals Limb Control for Intrinsic Stability

Lee, Aeri,Hyun, Seunghyun,Ryew, Checheong The Institute of Internet 2020 International Journal of Internet, Broadcasting an Vol.12 No.3

Repetition of landing with visual control in sports and training is common, yet it remains unknown how landing with visual control affects postural stability and lower limb kinetics. The purpose of this study was to test the hypothesis that landing with visual control will influence on lower limb control for intrinsic dynamic postural stability. Kinematics and kinetics variables were recorded automatically when all participants (n=10, mean age: 22.00±1.63 years, mean heights: 177.27±5.45 cm, mean mass: 73.36±2.80 kg) performed drop landings from 30 cm platform. Visual control showed higher medial-lateral force, peak vertical force, loading rate than visual information condition. This was resulted from more stiff leg and less time to peak vertical force in visual control condition. Leg stiffness may decrease due to increase of perturbation of vertical center of gravity, but landing strategy that decreases impulse force was shifted in visual control condition during drop landing. These mechanism explains why rate of injury increase.

Collagen gel three-dimensional matrices combined with adhesive proteins stimulate neuronal differentiation of mesenchymal stem cells

Lee, Jae Ho,Yu, Hye-Sun,Lee, Gil-Su,Ji, Aeri,Hyun, Jung Keun,Kim, Hae-Won The Royal Society 2011 Journal of the Royal Society, Interface Vol.8 No.60

<P>Three-dimensional gel matrices provide specialized microenvironments that mimic native tissues and enable stem cells to grow and differentiate into specific cell types. Here, we show that collagen three-dimensional gel matrices prepared in combination with adhesive proteins, such as fibronectin (FN) and laminin (LN), provide significant cues to the differentiation into neuronal lineage of mesenchymal stem cells (MSCs) derived from rat bone marrow. When cultured within either a three-dimensional collagen gel alone or one containing either FN or LN, and free of nerve growth factor (NGF), the MSCs showed the development of numerous neurite outgrowths. These were, however, not readily observed in two-dimensional culture without the use of NGF. Immunofluorescence staining, western blot and fluorescence-activated cell sorting analyses demonstrated that a large population of cells was positive for NeuN and glial fibrillary acidic protein, which are specific to neuronal cells, when cultured in the three-dimensional collagen gel. The dependence of the neuronal differentiation of MSCs on the adhesive proteins containing three-dimensional gel matrices is considered to be closely related to focal adhesion kinase (FAK) activation through integrin receptor binding, as revealed by an experiment showing no neuronal outgrowth in the FAK-knockdown cells and stimulation of integrin β1 gene. The results provided herein suggest the potential role of three-dimensional collagen-based gel matrices combined with adhesive proteins in the neuronal differentiation of MSCs, even without the use of chemical differentiation factors. Furthermore, these findings suggest that three-dimensional gel matrices might be useful as nerve-regenerative scaffolds.</P>

Monitoring the Differentiation and Migration Patterns of Neural Cells Derived from Human Embryonic Stem Cells Using a Microfluidic Culture System

Lee, Nayeon,Park, Jae Woo,Kim, Hyung Joon,Yeon, Ju Hun,Kwon, Jihye,Ko, Jung Jae,Oh, Seung-Hun,Kim, Hyun Sook,Kim, Aeri,Han, Baek Soo,Lee, Sang Chul,Jeon, Noo Li,Song, Jihwan Korean Society for Molecular and Cellular Biology 2014 Molecules and cells Vol.37 No.6

Microfluidics can provide unique experimental tools to visualize the development of neural structures within a microscale device, which is followed by guidance of neurite growth in the axonal isolation compartment. We utilized microfluidics technology to monitor the differentiation and migration of neural cells derived from human embryonic stem cells (hESCs). We co-cultured hESCs with PA6 stromal cells, and isolated neural rosette-like structures, which subsequently formed neurospheres in suspension culture. Tuj1-positive neural cells, but not nestin-positive neural precursor cells (NPCs), were able to enter the microfluidics grooves (microchannels), suggesting that neural cell-migratory capacity was dependent upon neuronal differentiation stage. We also showed that bundles of axons formed and extended into the microchannels. Taken together, these results demonstrated that microfluidics technology can provide useful tools to study neurite outgrowth and axon guidance of neural cells, which are derived from human embryonic stem cells.

The Effect of ARTIFICIAL INTELLIGENCE Literacy Education on University Students Ethical Consciousness of Artificial Intelligence

Aeri Lee J-INSTITUTE 2021 Robotics & AI Ethics Vol.6 No.3

Purpose: As a core technology of the 4th industrial revolution, artificial intelligence is rising as a crucial tech-nology for determining the competitiveness of nations and industries at a great pace. However, students who are not majoring in it have the tendency to perceive AI technology to be difficult, and hence, a more efficient AI edu-cation is needed. The purpose of this study is to present an educational program for the artificial intelligence liter-acy appropriate for the learner s level, apply it to the classroom, then explore its impact in terms of the artificial intelligence ethics. Method: In this study, an educational program for the artificial intelligence literacy which may be utilized for the non-majors using the tools of artificial intelligence has been designed. To analyze the impact of the educa-tional program conducted in this study on the learner s perception of the artificial intelligence ethics, the single group pre- and post-test which infers the causal relationship by implementing and analyzing the questionnaires on the changed perception of the artificial intelligence ethics before and after the application of the program was applied for the design method. Results: The impact of the education program for the artificial intelligence literacy on the perception of the arti-ficial intelligence ethics has been analyzed through the single group’s pre- and post-test by operating this pro-gram. As a result of the analysis, it has been verified that there was a positive change in the perception of the artificial intelligence ethics via the proposed educational program for the artificial intelligence literacy. Conclusion: In this study the impact of the educational program for the artificial intelligence literacy on the learner s perception of the artificial intelligence ethics has been analyzed by proposing and applying educational program for the artificial intelligence literacy for and in college and university liberal arts classes for the non-majors. The artificial intelligence literacy education has had a positive impact on the learner s perception of the artificial intelligence ethics. For the non-major students to fully comprehend the artificial intelligence, including the artificial intelligence ethics, an education which includes experience in the use of artificial intelligence ought to be offered beyond the classes of theory which merely convey knowledge, and towards this end, it was verified that a well structured artificial intelligence literacy education which can more than adequately offer the experiences of using and utilizing the artificial intelligence is necessary.

Hesperetin suppresses LPS/high glucose-induced inflammatory responses via TLR/MyD88/NF-κB signaling pathways in THP-1 cells

Aeri Lee,HyunJi Gu,Min-Hee Gwon,Jung-Mi Yun 한국영양학회 2021 Nutrition Research and Practice Vol.15 No.5

BACKGROUND/OBJECTIVES: Unregulated inflammatory responses caused by hyperglycemia may induce diabetes complications. Hesperetin, a bioflavonoid, is a glycoside in citrus fruits and is known to have antioxidant and anticarcinogenic properties. However, the effect of inflammation on the diabetic environment has not been reported to date. In this study, we investigated the effect of hesperetin on proinflammatory cytokine secretion and its underlying mechanistic regulation in THP-1 macrophages with co-treatment LPS and hyperglycemic conditions. MATERIALS/METHODS: THP-1 cells differentiated by PMA (1 μM) were cultured for 48 h in the presence or absence of hesperetin under normoglycemic (5.5 mM/L glucose) or hyperglycemic (25 mM/L glucose) conditions and then treated with LPS (100 ng/mL) for 6 h before harvesting. Inflammation-related proteins and mRNA levels were evaluated by enzyme-linked immunosorbent assay, western blot, and quantitative polymerase chain reaction analyses. RESULTS: Hesperetin (0–100 μM, 48 h) treatment did not affect cell viability. The tumor necrosis factor-α and interleukin-6 levels increased in cells co-treated with LPS under hyperglycemic conditions compared to normoglycemic conditions, and these increases were decreased by hesperetin treatment. The TLR2/4 and MyD88 activity levels increased in cells co-treated with LPS under hyperglycemic conditions compared to normoglycemic conditions; however, hesperetin treatment inhibited the TLR2/4 and MyD88 activity increases. In addition, nuclear factor-κB (NF-κB) and Acetyl-NF-κB levels increased in response to treatment with LPS under hyperglycemic conditions compared to normoglycemic conditions, but those levels were decreased when treated with hesperetin. SIRT3 and SIRT6 expressions were increased by hesperetin treatment. CONCLUSIONS: Our results suggest that hesperetin may be a potential agent for suppressing inflammation in diabetes.