Patterns Of Thinking Research Articles

The relationship of thinking patterns associated with the two halves of the brain to the skills of handling and suppression in indoor soccer for female students of the College of Physical Education and Sports Sciences

The aim of the research was to identify the learning and thinking patterns of the two halves of the brain among first-year female students in the College of Physical Education and Sports Sciences. The researchers used the descriptive approach using the correlational method, due to its suitability to the nature of the research problem, as the sample of the research was first-year female students in the College of Physical Education and Sports Sciences - University of Basra. The researchers relied on building a scale of the two halves of the brain as well as several tests. The researchers concluded that the diagnostic scale of learning and thinking patterns associated with the two halves of the brain showed the dominance of the left pattern of thinking, followed by the right pattern. They also recommended organizing and diversifying educational content and teaching methods in a way that develops the characteristics of the two halves of the brain together, which contributes to improving the ability to perform skills well.

Mapping patterns of thought onto brain activity during movie-watching.

Movie-watching is a central aspect of our lives and an important paradigm for understanding the brain mechanisms behind cognition as it occurs in daily life. Contemporary views of ongoing thought argue that the ability to make sense of events in the 'here and now' depend on the neural processing of incoming sensory information by auditory and visual cortex, which are kept in check by systems in association cortex. However, we currently lack an understanding of how patterns of ongoing thoughts map onto the different brain systems when we watch a film, partly because methods of sampling experience disrupt the dynamics of brain activity and the experience of movie-watching. Our study established a novel method for mapping thought patterns onto the brain activity that occurs at different moments of a film, which does not disrupt the time course of brain activity or the movie-watching experience. We found moments when experience sampling highlighted engagement with multi-sensory features of the film or highlighted thoughts with episodic features, regions of sensory cortex were more active and subsequent memory for events in the movie was better-on the other hand, periods of intrusive distraction emerged when activity in regions of association cortex within the frontoparietal system was reduced. These results highlight the critical role sensory systems play in the multi-modal experience of movie-watching and provide evidence for the role of association cortex in reducing distraction when we watch films.

Deep Learning-Assisted Discovery of Analogy-Inspired Designs within Peter Collins Analogical Architectural Design Classification Framework

This study focuses on analogical reasoning and deep learning models to enhance the innovative design process in architecture. By constructing multi-layered artificial neural networks, deep learning can derive analogical predictions from structured data to solve complex tasks. Deep learning models interact with analogical thinking patterns in the architectural design process, enabling designers to analyze and draw inspiration from analogical design examples. This study aims to develop a deep learning model that categorizes architectural design examples into specific analogical design classifications. For this purpose, a model based on Convolutional Neural Networks was developed and coded in the Google Colab environment using a dataset of 29,596 visual images, employing Peter Collins' classification system of biological, mechanical, gastronomic, and linguistic analogies. During the training process, the model was trained on images classified according to biological, mechanical, gastronomic, and linguistic categories, achieving an accuracy rate of 98%; however, this rate was recorded as 86% during the testing phase. It was observed that adjustments in the learning rate parameter balanced classification accuracy and training time; lower learning rates reduced accuracy while extending training time. Despite the complexity of architectural images indicated by the 86% accuracy rate on test data, the study emphasizes the model's capacity to achieve accuracy above 95% when confronted with distinct architectural features. In this case, the model allows designers to discover which analogical classification the architectural work to be tested is designed according to, allowing them to develop creative solutions to new design problems. Additionally, this research establishes an interdisciplinary dialogue between artificial intelligence and architecture, providing a foundation for future studies.

Neuroplasticity and its Relationship to Thinking Patterns among Sample of Educational Counselors in Jordan

The study aimed to uncover neuroplasticity and its relationship to thinking patterns among a sample of educational counselors in Jordan. The study aimed to identify differences according to the variables of gender and social status. The study sample consisted of (216) male and female counselors (114 male and 102 female). They were randomly selected, and to achieve the objectives of the study, two scales were developed: The Neuroplasticity Scale and the Thinking Patterns Scale, and the reliability and stability of the two scales were verified and then applied to the study sample. The results showed that the level of neuroplasticity and the level of thinking patterns of counselors were high, and the results indicated that there were no statistically significant differences in the level of neuroplasticity due to the variables of gender and social status, and the results also indicated that there was no statistically significant correlation in the thinking patterns of counselors

Художественная документалистика в условиях культурного диалога и выражение нового характера исторического самопознания

<p>Artistic documentary captures the lived experiences across different historical periods, highlighting representative events and significant episodes involving historical figures. While these accounts maintain their documentary foundation, the process of artistic transformation renders them distinct from the literal historical events and personalities they portray. This research examines the primary functions of artistic documentary within historical-cultural contexts, analyzing the portrayal of characters, thoughts, judgments, and emotional states through the lens of ontological philosophy. In this framework, artistic documentary serves as a medium for cultural dialogue about historical events and figures, their relationships, emotional dimensions, and behavioral patterns. Through this approach, authors convey cultural, psychological, and historical heritage in accordance with period-specific mentalities, employing distinctive logical frameworks and artistic expression. This methodology establishes a fundamental historiographic foundation for cultural dialogue between present and future generations, fostering spiritual connections among peoples and strengthening civilizational bonds. Documentary works, shaped by the temporal, spatial, and authorial contexts of their creation, reflect systematic relationships while emphasizing particular moods, personal qualities, thought patterns, and artistic imagery. In the current era of cultural interpenetration and transformation, artistic documentary merits further study, particularly regarding East-West cultural dialogue, linguistic-psychological analysis, and the interplay between cognitive processes and emotional states. The research methodology draws from memoirs, travel narratives, and essays by renowned writers. The study employs comparative and contrast methods to examine human-nature relationships, utilizing linguistic hermeneutics to analyze literary works and their original sources. Japanese scholarship on cultural dialogue and Eastern literary expression provides additional theoretical grounding. The analysis reveals that literary works across different cultures primarily aim to facilitate intercultural dialogue, foster mutual understanding, and promote convergence among peoples. They address the challenge of developing universal thinking patterns for present and future generations while preserving both universal and national values, distinctive cognitive approaches, and stable emotional states—all contributing to humanity's broader mission on Earth.</p>

Metaphorical Construction of Chinese Female Images in Media

Introduction. Media is closely related to discourse. Female metaphor in the media is not a simple reflection of the objective world, but a selective and conscious construction of female image in social reality. This study explores the metaphorical construction of Chinese female images in the blessings for women on “Women’s Day” through the media.Methodology and sources. While some words similar to the meanings of “Women’s Day” were selected as keywords, the researcher searched the Wechat platform for articles with the title including these keywords. Then, a total of 306 female metaphors were manually identified and selected as a corpus. With word frequency statistics of the corpus, this study sorted out the categories of Chinese female metaphors and analyzed female image constructed in the media.Results and discussion. It was found that the source domains of female metaphors mainly include plant, animal, daily object, fictional character, nature and environment. The female metaphors can be analyzed from the following categories: Woman is a Flower; Woman is Water; Woman is Half the Heaven; Woman is Light; Woman is a Fairy; Woman is a Book; Woman is a Tiger; Woman is a Jewel. Among them, “Woman is a Flower” is the most frequent one and dominates the female metaphors, while the beauty of “flowers” reflects the beauty of women, the blooming of “flowers” reflects the youth of women, and the aroma of “flowers” reflects the charming of women. “Woman is Water”, “Woman is Half of the Heaven”, “Woman is Light” are also frequent female metaphors, constructing the tenderness, high social status, unique charm and outstanding contribution of female. Other female metaphors also play a certain role in the construction of holiness, wisdom, independence, confidence, strength, precious character of female image. These metaphors construct diversified images in terms of the appearance, character, ability and value of women, and most of the women constructed are beautiful and gentle.Conclusion. It can be seen that the construction of female image in the media becomes diversified on the one hand, on the other hand it still follows the traditional thinking pattern. The paper suggests that gender discourse in the media has been diversified and improved, but still needs to strengthen the construction of equal female image in the harmonious society.

Critical Thought Pattern Differences and Problem-Solving Approaches in Communication between People from the US and Japan

Effective communication between individuals from the United States and Japan can be particularly challenging due to the profound cultural differences that influence their critical thought patterns and problem-solving approaches. These differences manifest in various ways, including contrasting perspectives on individualism versus collectivism, egalitarianism versus hierarchy, directness versus indirectness, and linear versus holistic thinking styles. In interactions between Americans and Japanese, these cultural disparities can lead to misunderstandings, misinterpretations, and communication barriers. To address these challenges, it is crucial to develop an understanding of the underlying cultural factors that shape communication styles in both cultures. This article delves into these cultural differences, highlighting how they impact formal and informal communication settings. Furthermore, we discuss practical strategies and techniques that can be employed to bridge these gaps, facilitate better understanding, and enhance the effectiveness of cross-cultural communication between individuals from the United States and Japan. By recognizing and addressing these cultural nuances, we can foster more harmonious and productive interactions across these two distinct cultural contexts.

AUGMENTED REALITY BASED VISUAL ATTENTION AND WORKING MEMORY ANALYSIS FOR CHILDREN USING COMPUTER VISION

The mental learning arrangement of children and the impact of visual attention make computer vision researchers extremely inquisitive. Understanding child psychology in the early stage is one of the significant factors for their smooth mental growth which includes thinking patterns, learning styles, and psychological development. Visual inclining is one of the primary drivers of mental advancement in a child where the visual system is constrained by the subject’s eye. In this context, the idea of visual attention in children could uncover new learning patterns by means of the visual framework which is addressed by this research. Previous researchers attempted to discover various aspects in this context such as kid improvement, conduct acknowledgment, and field of intrigue where they did not use computer vision and augmented reality technology adequately. This research presents a rigorous investigation to learn about children's psychological development through assigning interactive tasks to children. For this, this research developed a computer vision-based augmented reality system that gets a grouping of videos and identifies data from participating individuals. In this context, this research audited the coordination of eye, head, and hand developments amid the execution of a block copying assignment. Overall experimental investigation performed by this research presents a significant pattern to understand children's phycology. The impacts of the proposed investigation using computer vision-based augmented reality will contribute significantly to design improved education materials for children from an early stage.

Pengembangan E-LKPD Berbasis Problem Based Learning pada Materi Sistem Pernapasan Manusia untuk Meningkatkan Pola Berpikir Kritis Siswa SMA Negeri 5 Kota Tanjung Balai

Learning is a system consisting of several interrelated components (goals, materials, methods, learning evaluation). These components must be adjusted in the process of making a learning implementation plan. Students are guided to build their knowledge independently so that they can easily master the material obtained at school and then apply their knowledge in real life. This research aims to develop an Electronic Student Worksheet (E-LKPD) based on Problem Based Learning (PBL) on the human respiratory system, with a focus on improving students' critical thinking patterns at SMA Negeri 5 Tanjung Balai City. The method used in this research is the 4-D model developed by Thiagarajan, which consists of four stages: Define, Design, Develop, and Dissemination. The research results showed that the developed E-LKPD received a very good feasibility assessment, with a percentage of 96.8% from material experts, 96.25% from media experts, and 96.6% from practitioner experts. From these results, it can be concluded that the PBL-based E-LKPD developed is valid, practical and effective for use in the learning process. It is hoped that this e-LKPD can increase student learning activities and help teachers convey material in a more interesting and interactive way.

How Can Degrowth Be a Powerful Driver for Educational Change – Seen from a Nordic Point of View?

The article’s ambition is to illuminate the central arguments of the degrowth movement and analyze how these arguments might be relevant within the context of Nordic education. Applying the concept of topos – shared knowledge within a community – the article aims to provide an overview of recurring themes and lines of argument related to degrowth in education. The research problem here is the lack of clarity regarding how degrowth principles are understood, taught, and reflected in Nordic educational contexts. To investigate this, the article poses two key research questions: How are the education-related thinking patterns of degrowth reflected in Nordic education research? How do education-related thinking patterns of degrowth interact with Nordic educational philosophies? The article aims to answer these questions by comparing arguments related to degrowth with those related to Nordic educational philosophies and practices. It will use a two-step empirical approach to analyze the current state of degrowth-related education research in the Nordic region. The study concludes by discussing potential reasons for the limited research on this topic and outlining future research directions.

The Influence of Personality Traits on Teachers’ Communication Styles

Teachers' traits have a significant influence on their teaching perspectives, pupil retention, and satisfaction, while constant and effective communication is critical to improving the excellence of educational institutions (Dhillon & Kaur, 2023; James H. Stronge, 2018). Teachers' communication styles, which are influenced by their fundamental personality traits, have a direct impact on overall educational quality(Ahmed & Naqvi, 2015). Research has demonstrated that a teacher's personality may be an effective instrument for creating a good and productive learning environment (Ahmed & Naqvi, 2015; Dhillon & Kaur, 2023). The current study examined the influence of personality traits on teachers’ communication styles. Teachers' ideas, feelings, and credibility, molded by personality traits, are critical to their ability to transmit information and promote an effective learning environment (Buttner et al., 2015; Renta Davids et al., 2017). According to Costa et al. (1995) personality is permanent patterns of thinking, feeling, and behaving that identify individuals, and it plays an important role in how educators interact with their students and approach education.

Big 5 Personality Traits, Imposter Phenomenon and Hypercompetitive Attitude Among High Performing Emerging Adults

Emerging adults refers to a developmental phase in the human life cycle following adolescence and preceding adulthood. “Personality is generally defined as an individual’s unique and relatively stable patterns of behavior, thoughts, and emotions”. Hypercompetitive attitude reflects the need to compete and win at all costs as a means of maintaining or enhancing one's self-worth. Impostor syndrome refers to the state that affects high achievers who are unable to internalize and accept their achievements. This study seeks to analyses the significant relationship between Big 5 Personality Traits, Hypercompetitive Attitude and the Imposter Phenomenon among high-achieving emerging adults. Samples were collected using a purposive sampling technique. Research instruments used in the study were the Big Five Inventory - 10, Hypercompetitive Attitude Scale and Imposter Phenomenon Scale. The data was analyzed using SPSS. The statistical technique used was Spearman’s Rank Correlation. The finding showed that there was a significant negative relationship between extraversion and imposter phenomenon, a negative relationship between agreeableness and hypercompetitive attitude, a positive relationship between neuroticism and imposter phenomenon and a positive relationship between hypercompetitive attitude and imposter phenomenon.

The Impact of Language Revitalization Efforts on Indigenous Cultural Practices: A Case Study of the Tahltan, Cherokee, and Lakota Nations

Historically (and currently) Indigenous languages have been suppressed and marginalized within society, inspiring declining levels of language usage and L1 and L2 speakers. It can be argued that these declining levels of speakership have impacted the tangible and intangible elements of Indigenous cultural practices. Although Indigenous peoples have faced punishment for using their languages, the reclamation or revitalization of Indigenous languages can lead to the recovery of cultural knowledge and, in the process, help heal the trauma caused by colonization. This article seeks to address the impact language revitalization efforts can have on maintaining the cultural practices of Indigenous communities by examining three case studies of ongoing revitalization efforts: the Tahltan Nation, the Cherokee Nation, and the Lakota Nation. Moreover, a theoretical analysis will be conducted following the Sapir-Whorf Hypothesis of linguistic relativity and linguistic determinism. A review of these practical and theoretical examples demonstrates that the language we speak can shape our thinking patterns as well as how we are predisposed to view the world.

Exploring Elementary School Student's Computational Thinking In Terms Of Cognitive Style

Mathematics learning in the independent curriculum emphasizes the pedagogical dimension which aims to create active students so that they are able to develop their thinking patterns and get them used to finding solutions to their own problems. This study uses qualitative methods to investigate elementary school students' abilities through computational thinking, focusing on the cognitive styles of Field Independence (FI) and Field Dependence (FD). The subjects in this study amounted to 14 fifth grade students of public elementary schools in Klaten Regency, Central Java Province. Researchers used data collection instruments in the form of test, learning style questionnaires and interviews. The number of test compiled consisted of 5 items. Before use, the test were validated by 3 mathematics education experts and tested on 5 fifth grade students. After validation and testing, the test that can be used consist of 3 test. Based on the results of tests and learning style questionnaires, research took one of the students' test results with a Field Independent learning style and 1 student with a Field Dependent learning style. The results of this study indicate that there are differences in the computational thinking process of the two subjects in solving problems. At the abstraction stage, FI students are able to answer important factors that need to be considered in making conclusions, FI students are also able to explain alternative solutions to the problems given appropriately. Meanwhile, FD students tend to work directly so they tend to experience errors at the pattern recognition, algorithm thinking and generalization stages. Thus, it can be concluded that students with a field independent cognitive style are more active in using computational thinking processes than students with a field dependent cognitive style.

Using deep learning and word embeddings for predicting human agreeableness behavior

The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation and natural language understanding. This development extended to the analysis of human behavior, where deep learning models are used to decode human personality. Due to the rise of social media, generating huge amounts of textual data that reshaped communication patterns. Understanding personality traits is a challenging topic which helps us to explore the patterns of thoughts, feelings and behaviors which are helpful for recruitment, career counselling and consumers’ behavior for marketing, etc. In this research study, the main aim is to predict the human personality trait of agreeableness showing whether a person is emotional who feels a lot or thinker who is logical and has rational thinking. This behavior leads to analyzing them as cooperative, friendly and respecting difference of views. For comprehensive empirical analysis, shallow machine learning models, ensemble models, and deep learning technique including state of the art transformer-based models are applied on real-world dataset of MBTI. For feature engineering, textual features of TF-IDF and POS tagging and word embeddings such as word2vec, glove and sentence embeddings are explored. The results analysis shows the highest performance 91.57% with sentence embeddings utilizing Bi-LSTM algorithm that highlights the power of this study as compared to existing studies in the relevant literature.

Enriched Deep Neural Network Improved by Chaotic Harris Hawk Optimizer for Prediction of Behavioural Traits of Individuals

The enduring patterns of thoughts, feelings, and behaviors that set one person apart from another are referred to as personality traits. A personality identification system could help a corporation find and hire suitable employees, enhance their business by understanding the preferences and personalities of their clients, and more. It necessitates the prediction of an individual’s personality classification to determine their behavioural traits using machine learning models. The distribution of class labels significantly affects the training phase of the conventional classification and ensemble algorithms resulting in an overfitting problem and affecting the accuracy rate of personality classification. Hence, in this proposed work deep neural network with its dense layer understands the pattern of the personalities of individuals based on their behavioural traits using the questionnaire prepared based on the demographics, education, and employment attributes. However, the parameters used in the deep neural network are assigned using the gradient descent method that assigns random values. These values are adjusted on a trial-and-error basis using the backpropagation method. This issue is solved in this proposed work by improving the performance of the deep neural network by adopting the chaotic Harris hawk optimizer to fine-tune the hyperparameter of DNN such as weight, bias, and learning rate in dense layers of DNN. The prey searching behavior with the chaotic mapping balances both local and global searching overcomes the early convergence and achieves the highest accuracy rate compared with other algorithms like ensemble models and machine learning models. The simulation results conducted on 725 samples, 20 attributes for prediction of personality trait based on the behavioural characteristics by the proposed model Enriched Deep Neural Network improved by Chaotic Harris Hawk Optimizer Algorithm (EDNN-CHHOA) achieves a better accuracy rate of 0.98% compared with other algorithms.

Cognitive Biases and Test Anxiety: The Impact of Negative Thinking Patterns on Academic Performance

Test anxiety is prevalent among students, with substantial evidence demonstrating its detrimental effects on academic performance. One of the primary factors contributing to this anxiety is cognitive distortion, particularly negative thought patterns. Thus, the paper provides insight into how cognitive distortions, such as catastrophizing, overgeneralization, and all-or-nothing thinking, play a key role in exacerbating test anxiety and leading to lower academic performance. Specifically, catastrophizing refers to over-expectation of worst-case scenarios, overgeneralization involves forming broad negative conclusions based on limited evidence, and all-or-nothing thinking views problems in a black-and-white manner that does not allow for any middle ground. The results suggest that these negative thinking patterns are strongly associated with elevated levels of test anxiety, and that students who experience them more frequently are more likely to feel significant test anxiety. As such, this paper recommends evidence-based interventions, particularly cognitive behavioral therapy, to effectively address and correct these negative thought patterns. The implementation of such interventions is expected to mitigate students test anxiety, hence promoting their psychological well-being and academic success.

Multi-dimensional Path Exploration of Artificial Intelligence Empowering Postgraduate Research Ability Improvement

The application of artificial intelligence (AI) technology in the field of graduate research is becoming more and more common, which has brought unprecedented opportunities and challenges for the enhancement of graduate research ability. The purpose of this study is to deeply analyze the multiple mechanisms of artificial intelligence promoting the improvement of graduate students' scientific research ability. Firstly, this paper systematically analyzed the theoretical foundation of artificial intelligence in graduate research, covering the application of core algorithms such as machine learning and deep learning in scientific research practice, as well as the mechanism of the integration of artificial intelligence and scientific research, including the potential of interdisciplinary cooperation, the challenges encountered in the integration process and their coping strategies. Then the application examples of artificial intelligence in graduate research practice are expounded, including but not limited to the key links of literature search and analysis, experiment design and data analysis. Then, from the two dimensions of cultivating innovative thinking and improving learning autonomy, how artificial intelligence can help improve graduate students' scientific research ability is discussed. It is believed that artificial intelligence plays an important role in generating new hypotheses, stimulating creativity, breaking through traditional thinking patterns, generating personalized learning resources, and assisting group discussion. In summary, artificial intelligence plays a vital role in improving the scientific research ability of graduate students, and provides strong technical support and innovation motivation for graduate students' scientific research work.

Differences between English and Chinese Thought Patterns and Their Influences on Translation

Differences between English and Chinese Thought Patterns and Their Influences on Translation

Meningkatkan Pola Berpikir Kritis dengan Peran Epistemologi Filsafat di SD Negeri 2 Sumber Harum

Primary education has a very significant role in forming the foundation of a critical mindset in children. At this stage, students should begin to be taught how to understand information in depth, make informed judgments, and develop the ability to make decisions based on logical reasoning. This research aims to develop the critical thinking patterns of students at SD Negeri 2 Sumber Harum through the application of philosophical epistemology in learning. This study uses a qualitative approach with a descriptive design to explore the application of philosophical epistemology in learning to improve the critical thinking of students at SD Negeri 2 Sumber Harum. The results of this study show that the application of philosophical epistemology in learning at SD Negeri 2 Sumber Harum significantly improves students' critical thinking skills. Through learning methods such as group discussions, debates, and case studies, students not only understand the subject matter more deeply, but are also able to analyze, evaluate, and construct logical arguments. This improvement was seen in the results of the critical thinking test, which showed an increase in the average score from 58 to 76 after the intervention. In addition, students also began to show higher confidence in expressing opinions and being actively involved in the learning process.