Reviewerly/exHarmony huggingface dataset:
Reconceptualization of Convergent Thinking: Focusing on reinterpreted insight

Objectives This study reconceptualizes Convergent Thinking based on insight to further concretize Convergent Thinking, which remains in abstract meaning in the 2015 revised curriculum.&#x0D; Methods After confirming that the psychological perception of insight appeared in opposing forms through literature study, through a critical review, it was pointed out that the existing cognitive aspects are closely related to each other and that each issue is only a peripheral element of insight. Accordingly, theoretical implications that can be applied to the detailed process of Convergent Thinking were secured by reinterpreting the cognitive process of insight generation focusing on more core elements. Afterwards, based on the secured implication, the detailed process and meaning of Convergent Thinking were specified and applied to actual classes to analyze the step-by-step execution process of Convergent Thinking.&#x0D; Results First, reinterpreted insight is a reflective selective perceptual ability that includes selective attention and its conversion and restructuring as key functions, and provides a rationale for the detailed process of Convergent Thinking that seeks to produce meaningful results through knowledge convergence. Second, based on the reinterpreted insight, Convergent Thinking is ‘Facing the problem - 1st frame of recognition - 1st problem recognition and solution derivation - 2nd frame of recognition (selective attention shift) - 2nd frame of recognition (restructuring)) - Secondary problem recognition and solution derivation’ was embodied in six repetitive and repetitive steps. Third, this detailed process of Convergent Thinking led to more appropriate problem recognition and solution through coherent processing of knowledge and perception in actual class.&#x0D; Conclusions Convergent thinking is a consideration of the formation of a coherent relationship between knowledge and perception, and is a reflective selective perception ability that constructs an appropriate cognitive framework and seeks to understand and solve the best problem by exploring appropriate knowledge among various knowledge existing in the learner's inner and environment. This Convergent Thinking includes selective attention and its conversion and restructuring functions as major processes.
The Effect of self-determination factors of blended learning users in universities on satisfaction through learning interest and pleasure

Objectives The purpose of this study is to investigate the perceived autonomy, competence, and relationship of blended learning users among university students, and then to study their satisfaction through learning interest and pleasure. Through this, I would like to present the impact on learners through blended learning and the development plan of blended learning.&#x0D; Methods The survey was conducted for S-University in Seoul and local K-University with experience in using blended learning, and online and offline questionnaires were distributed and collected. The survey period was conducted for two weeks from February 01, 2022 to February 15, 2022. A total of 229 questionnaires were collected during this period, and 229 questionnaires were used for data analysis.&#x0D; Results First, the perceived autonomy of blended learning was found to have a significant effect on learning interest and enjoyment. Second, the perceived competence of blended learning was found to have a significant effect on learning interest and enjoyment. Third, the perceived relationship of blended learning was found to have a significant effect on learning interest and enjoyment. Fourth, learning interest in blended learning was found to have a significant effect on pleasure and satisfaction. Fifth, the pleasure of blended learning was found to have a significant effect on satisfaction.&#x0D; Conclusions The conclusion of this study is as follows. Due to the coronavirus pandemic that has continued over the past few years, it is expected that professors at universities will develop their ability to cope with classes through blended learning, while also increasing learners' ability to actively cope with changes in the class environment. However, the self-determination of the learner is important when learning proceeds through blended learning in universities. In order to increase the learning satisfaction of blended learning for learners, the instructor should have learners' self-determination.
Action Research on STEAM using Food Group in Elementary School

Objectives The purpose of this study is to examine the perceptions of the elementary school teachers participated in the development of STEAM education programs using food groups, and to find implementation plans and development directions in the early grades of elementary school.&#x0D; Methods To this end, elementary schools that wished to consult the curriculum and cooking process for the STEAM education program using the food groups were selected and trained for STEAM education over 6 months. By dividing the competency model with educational experience and the desired performance model for STEAM education, the reflection log and interview data were classified by topic. In addition, the development system of the STEAM education program, using food groups was prepared in the stages of goal setting, situation presentation, creative design, emotional experience, and evaluation.&#x0D; Results By recording the collective deliberation process of participating teachers on development, the value and the expansion of STEAM education were critical considered. As a result, in the aspect of design-execution-creation of the STEAM education program using food groups, teacher participating in the competency model recognized STEAM education as excellent education that the school community should aim for. The teachers participating in the performance model recognized it for developing of the STEAM education program at the teacher level in consideration of the characteristics of the classroom and students in the early grades of an elementary school setting reorganization goals in connection with the curriculum achievement standards to design a STEAM education program using food groups. Additionally, guidance activities were conducted on the basic understanding of effective food groups, procedural knowledge of cooking practice education, and ways to improve healthy eating habits for classes in the early grades of elementary school.&#x0D; Conclusions We found that participating teachers conducted excellent education and differentiated classes, discussed STEAM education, and critically considered the value and expansion of the STEAM education program.
A Study on Democratic Citizenship Education in the 2022 Revision Curriculum in Social Studies

Objectives The purpose of this study is to explore ways to revitalize democratic citizenship education emphasized in the general outline of the 2022 revised curriculum. To this end, the meaning, domain, and principle of democratic citizenship education were examined, and concrete practice cases were presented through the reorganization of the integrated social curriculum in the Department of Social Studies.&#x0D; Methods The concept, domain, and principle of democratic citizenship education, the goals and content elements of democratic citizenship education in the social studies curriculum, and methods of democratic citizenship education in social studies were theoretically explored. For the application of democratic citizenship education in the high school integrated social studies department, a core topic was extracted from the textbook &lt;Democratic Citizens Living Together&gt;, a textbook approved by the Gyeonggi Provincial Office of Education, and practiced research was conducted.&#x0D; Results Three examples of classes were presented by reorganizing the curriculum according to the core themes and elements of an integrated society. First, social issues as a controversial issue, second, the 2.28 movement as a place-based learning, and third, examples of peace and unification classes linked with creative experiences for fostering peace sensitivity were presented as discussion learning and project learning.&#x0D; Conclusions As emphasized in the general summary of the 2022 revised curriculum, in order for democratic citizenship education to be reflected in all subjects, it is necessary for teachers to design the curriculum for school curriculum design through subjects and non-curricular activities. In addition, various methods need to be explored, such as training to strengthen teacher competency, accompany democratic practices and values, prepare standards such as ordinances and laws, and establish a democratic school culture and self-government activities.
Feasibility of Hybrid Neuro-Fuzzy (ANFIS) Machine Learning Model with Classical Multi-Linear Regression (MLR) For the Simulation of Solar Radiation: A Case Study Abuja, Nigeria

The extremely variable nature of solar radiation makes it difficult for solar power plants to keep up with predicted power output and demand curves.As a result, solar radiation simulation is crucial to the efficient design, administration, and operation of any solar power plant.With only partially satisfactory results, empirical models have been routinely employed in Nigeria to predict solar radiation from easily measurable environmental characteristics like temperature, humidity and cloud cover.Only a few machine learning models have been used to predict sun radiation in Nigeria, despite the global trend toward machine learning.With almost no published work utilizing Abuja as a case study, machine learning algorithms for simulating sun radiation in Nigeria have not been sufficiently studied.By contrasting the performance of the conventional Multi-Linear Regression (MLR) model with the cutting-edge machine learning model, ANFIS, this study seeks to close this gap and establish which model is more suited and accurate for forecasting solar radiation in Abuja, Nigeria.Data for daily measured climatic variables, such as maximum and minimum temperatures, relative humidity, precipitation, maximum and minimum wind speeds, sunshine hours, and solar radiation were retrieved for this study over ten years from the National Space Research and Development Agency, (NASDRA) Abuja.R, R 2 , RMSE, and MSE were used to simulate and assess the performance of various model combinations throughout both the training and testing stages.When compared to the best MLR model simulation, ANFIS model 8 was shown to generate accurate results.
An Efficient Video Compression Framework using Deep Convolutional Neural Networks (DCNN)

In the current world, video streaming has grown in popularity and now accounts for a large percentage of internet traffic, making it challenging for service providers to broadcast videos at high rates while utilizing less storage space.To follow inefficient analytical coding design, previous video compression prototypes require non-learning-based designs.As a result, we propose a DCNN technique that integrates OFE-Net, MVE-Net, MVD-Net, MC-Net, RE-Net, and RD-Net for getting an ideal collection of frames by linking each frame pixel with preceding and following frames, then finding linked blocks and minimizing un needed pixels.In terms of MS-SIM and PSNR, the proposed DCNN approach produces good video quality at low bit rates.
The Effect Of “Think-Aloud” Strategy On Students’ Inferential Reading Comprehension

There are four skills in English, namely speaking, writing, reading, and listening. One of those skills is reading which perceived a written text in order to understand its contents. To understand the contents of the text, the students faced many problems. Some of them don’t understand about the meaning of the words and lack in vocabularies and some of them think that reading is boring activity. This condition and situation caused some of the students feel bored when they joint in the reading class. In this research, the researcher was aimed to find out the effect of think-aloud strategy in teaching inferential reading comprehension at a vocational school SMK PELAYARAN SAMUDERA INDONESIA MEDAN in academic year 2021/2022. The method of this research is an experimental research. The researcher took data from the eleven (XI) grade students of nautical class A and B as the sample of the research. The nautical class A as experimental group and the nautical class B as control group. Each class consists of 30 students. Dealing with the research instrument of collecting the data, the researcher used a test which consisteds of pre-test and post-test and conducted before and after treatment. To analyze the data, the researcher applied the t-test. The result of this research showed that the students mean scores in reading comprehension who were taught by think-aloud strategy is higher, while the students mean scores in reading comprehension who were taught by the Group Discussion strategy is lower. The result of t-test computation pointed that tobservation is high while the value ttable is low . It shows that tobservation is higher than ttable ( to&gt;tt). Therefore the alternative Hypothesis (Ha) is accepted while the null hypothesis (Ho) is rejected. In other word, it can be concluded that think-aloud strategy is effective to to increase the students inferential reading comprehension of students at SMK PELAYARAN SAMUDERA INDONESIA Medan.
SMART AGRICULTURE BASED IOT AND MOBILE APPS

Agriculture is the main occupation in our country for many centuries. But now because of the migration of people from rural to urban areas there are barriers to agriculture. So to solve this problem we are using smart farming techniques using IOT. Smart farming is a developing concept, because the IOT Sensor is able to provide information about the agricultural sector and then act on user input. To develop this Intelligent Agricultural System, it uses the advantages of the latest technology such as Arduino, IOT and Wireless Sensor Networks. The paper aims to make use of the emerging technology namely IOT and the use of intelligent agricultural automation. Monitoring of environmental conditions is the main factor for increasing efficient crop yields. This feature includes the development of a system that can monitor temperature, humidity and is programmed via an android application.
ARTBOTS IN SPECIAL EDUCATION: POSSIBLE APPLICATIONS AND BENEFITS

Artbots are moving toys and objects which draw automatically with simple materials and technologies combining art with science and technology in a way that equitably connects the components of the STEAM (Science, Technology, Engineering, Arts and Mathematics) approach's equation (STEM + Arts = STEAM) and dynamically opens further up to many other disciplines.This paper deals with possible applications of artbots activities in Special Education.It draws on relevant literature review about STEAM in education and Special Education and presents artbots' concept.Furthermore, the methodology involves practice-based research through experiential workshops and implementation of artbots activities with children with disabilities.The views of Special Education teachers and professionals with regards to the benefits of artbots activities for children with different disabilities are also described.As population of children with disabilities constitute a highly heterogeneous group, emphasis will be placed upon specific examples of applications with children with different type of disabilities.It is argued that artbots activities should foster creativity, engagement, social interaction, motor and other skills and enrich learning process both in special and in inclusive educational settings.
Research on 3D Virtual Emotional Interaction Design Based on Network Digitization

Nowadays in the field of scientific research at home and abroad, the research on interaction has made some achievements, but the main discussion on the network three-dimensional virtual emotional interaction is relatively few, and the emotional interaction education has not put forward in-depth discussion, so that it becomes the background factor in the research, rather than the research theme. In this paper, the core problem is set as the interaction level. Aiming at this point, the learning effect of learners’ independent learning is studied, and their emotional interaction is summarized and classified. On the basis of relevant theories, this paper further investigates the practical application status of emotional interaction, clarifying the relevant basis of practice, and finally finds an effective plan to optimize the effect of emotional interaction.
GAME MEDIA DEVELOPMENT CROSS PUZZLES IN LEARNING SUMMARY EXPLANATION TEXT

This research is based on Indonesian language learning that has not been effective yet, the result of learned is not optimal yet, to overcome this problem, the researcher developed crossword puzzle game. This development research aims to produce crossword puzzle products as well as know the feasibility and effectiveness of the product. The subjects of this study are the students of class V which amounted to 34 students. Data analysis techniques used to descriptive percentage and n-gain test. The results showed that the media of crossword puzzles is very feasible to use with the percentage of assessment 89.58%, material expert judgments of 88, 63%. The result of N-gain analysis showed that the value obtained is 0.5226 in the medium category and the response is very good. The conclusions of this research is the crossword puzzle game to summarize the developed explanation text is declared eligible and effective in improving the writing skill of the students' explanatory text.
Feel the power of my exoticism

Japanese Noise music is characterised by its blatant lack of traditional musical architecture; it evolves from schemes that ignore melodic, rhythmic, and harmonic progressions. It is thereby commonly considered as a brutal and radical expression of postmodernity. In certain regards, Noise can indeed be interpreted as a general ecology of the interference whereby the junction between human activity and nature can be re-evaluated with sounds, through a violent criticism of structures and exclusive systems. This chapter, through the prism of Noise in Japan, questions how the enjoyment and production of sound in an artistic capacity can be linked to the creation and development of cultural characteristics; this is done both in the context of contemporary society and, by extension, in an ahistorical, essentialised fashion. Noise as a topic of research is an important subject as, by going beyond a strictly musical framework, it convenes the culture of sound in a broader sense.
The implementation of fuzzy logic controller for defining the ranking function on Malay retrieval system

Ranking is likely the most important process of an information retrieval (IR) system that will be used to evaluate and measure the effectiveness of an IR system. This paper aims to produce the implementation of fuzzy logic controller of Mamdani-type fuzzy inference system for defining the ranking function by using the BM25 model in the Malay IR system that also includes the Malay Stemmer. The result of the ranking function then will be compared to the result of vector space model that is also applied in Malay IR system and be evaluated using relevant document by the hadith expert. The results showed that FBMIR has slightly outperformed vector space model on three topic set of query results such as 'Iman', 'Ilmu' and 'Wuduk' on the precision at rank 10 and the percentage of no relevant document in the top ten retrieved measures.
The Predictive Power of Metacognitive Monitoring on Math Equivalence Problems

Metacognition is central to children's cognitive development.However, limited research has focused on the role of metacognition for topics on which children exhibit persistent misconceptions (i.e., when children exhibit high prior knowledge, but that knowledge is incorrect).Accordingly, this study investigated elementary school children's (N = 52, ages 6.7 -9.8 years) metacognitive monitoring and control on math equivalence problems (e.g., 8 = 3 + __), including their ability to monitor their certainty and ask for help.We were primarily interested in role of accurate certainty monitoring and strategic help-seeking for later performance.Accurate certainty monitoring, but not strategic help seeking, was a unique, significant predictor of children's math equivalence understanding.Results suggest a key role for metacognitive monitoring in mathematics.
DYNAMIC COMPLEX NETWORK ANALYSIS OF PM2.5 IN HENAN PROVINCE OF CHINA

At present, air pollution has become a major environmental problem threatening human health.PM2.5 concentration is an important indicator to measure air pollution.Studying the distribution and interaction of PM2.5 concentration between cities can provide a scientific basis for air quality monitoring, air pollution control, and the formulation of collaborative strategy for economy and environment in Henan Province of China.According to the PM2.5 concentration data of each prefecture-level city in 2018, we analyze the correlation of PM2.5 concentration between cities in Henan Province of China.Further, we construct a directed complex network of PM2.5 interaction based on Granger causality to explore the directivity of the impact between cities in Henan Province of China.Then, we introduce the "trophic coherence" method in biology to infer the hierarchical structure and stability of the network.The research indicates: (1) there are the evident of seasonal differences in PM2.5 concentration in Henan Province of China.The mean of PM2.5 concentration in the four seasons shows different trends, and there is the relatively obvious holiday effect.(2) In different seasons, the cross-correlation of PM2.5 concentration between cities is different.The cross-correlation between cities in spring and summer shows obvious spatial heterogeneity, and PM2.5 concentration between cities in autumn and winter shows higher spatial embeddedness.(3) The impact of PM2.5 concentration between cities in Henan Province of China has obvious causal directivity.The trophic coherence of the PM2.5-directed network is the smallest in autumn, with the most stable structure, while is with the largest vulnerability in summer.
Using a Tablet-Based Note-Taking Application to Replace Traditional Science Notebooks in an Elementary Classroom

This study examines how tablet-based note-taking applications can be integrated into elementary science classes as digital science notebooks.A teacher from a public charter school, with 20 students in grades four and five, implemented a tablet-based note-taking application in her science classroom for a semester.At the end of the semester, an interview was conducted with the teacher to better understand her experiences integrating the tablet-based note-taking application into her science lessons.To understand how students used the application, the researchers also conducted a survey and observed the science classroom.This paper presents findings from the interview and the classroom observations, and discusses the potential of technology to facilitate student engagement with scientific-inquiry and science-related writing. ObjectivesThe integration of science and literacy has been a topic of interest for the past decade or more.The use of science notebooks as a means to integrate science and literacy is prevalent in elementary classrooms (Baxter, Bass, & Glaser, 2001;Fulton & Campbell, 2014;Fulwiler, 2007).However, writing related to the scientific practices, such as constructing explanations and obtaining, evaluating, and communicating information, has been considered a difficult task, especially for primary-aged students.In addition, the limitations and challenges of using traditional paper-based notebooks as science notebooks have been discussed.For example, Ruiz-Primo, Li and Shavelson (2008) found that teachers provide little feedback on students'