Cognitive Intelligence Research Articles

Pengaruh Literasi Spasial dalam Pembelajaran IPS di SD Kelas Tinggi: Sebuah Telaah Literatur

Learning activities have an impact on student learning outcomes. With the use of relevant learning models, it will facilitate the process of teaching and learning activities to run well in accordance with learning outcomes. This study aims to find out how the influence of spatial literacy in the social studies learning process in high school elementary school. The research method used in this research is literature study with a qualitative approach and reduction technique. The results of the study show that Spatial Literacy can invite students to practice education, for example by using illustrations of map diagrams, observing detailed designs of demonstration sketches. In addition, the children were invited to make a mind mapping project, and analyze how things work, how to move, and an imitation model of the relationship between parts. Spatial literacy in social studies learning can also improve cognitive intelligence in children, improve students' affective and psychomotor skills, but must use the right learning media.

ОЦЕНКА СТУДЕНТАМИ, ЗАНИМАЮЩИМИСЯ ПРОФЕССИОНАЛЬНЫМ И ЛЮБИТЕЛЬСКИМ СПОРТОМ, ОБРАЗОВАТЕЛЬНЫХ РЕЗУЛЬТАТОВ В ПЕРИОД ПАНДЕМИИ COVID-19

The article is devoted to the actual problem associated with the introduction in March 2020 in educational institutions of e-learning and learning using distance learning technologies in order to prevent the spread of a new coronavirus infection. Students involved in professional and amateur sports during the pandemic faced additional difficulties associated with a completely remote format for mastering the educational program and conducting training. The purpose of the study is to identify the assessment by students involved in professional and amateur sports of the level of formation of their professional and supra-professional competencies in the context of organizing the educational process exclusively with the use of distance learning technologies and e-learning during the COVID-19 pandemic. Materials and methods. The study included 110 students of the KSPU named after. V.P. Astafiev and KrasSMU named after prof. V.F. Voyno-Yasenetsky: 62 professional athletes, and 48 students involving in amateur sports. Instrumental methods of research and electronic questioning Google Forms were used. Statistical analysis was carried out using the Microsoft Office Excel 2017 software package and Google Forms. Research results. More than half of the students noted significant differences in the formation of their professional competencies in the conditions of the pandemic (52.36% of respondents in both groups noted a decrease in the level of academic competencies, in 47.64% the level did not change). Students noted a sharp decrease in the level of formation of supra-professional competences (soft skills). Only emotional intelligence remained unchanged for the majority (53.64% of respondents), 46.36% noted its decline. Conclusions. Empirically obtained data allow us to state that the implementation of the educational process using exclusively e-learning and distance learning, in the opinion of students of educational institutions of higher education involved in professional and amateur sports, negatively affects the effectiveness of the educational process: 52.36% have a decrease in the level of formation of professional competencies and there is a sharp decrease in the level of supra-professional competences (the level of formation of cognitive intelligence, creativity, critical thinking, the level of communication).

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation

Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports

Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports

A Systematic Study of Application of Cognitive Intelligence in Mphasis – a Case Study

Introduction: The modern definition of intelligence is machines’ capacity to comprehend and adapt to surroundings employing innate skills and acquired knowledge. We have arguably reached a brand-new stage in the development of civilization. In recent years, the advancement of cognitive technology has accelerated rapidly. On many levels, their capabilities—both current and future—are very appealing. Their application in business is intended to save operating expenses while accelerating the rate of business development and improving the quality of services provided. Cognitive systems use logical human processes to interpret data in order to enable computers and robots to precisely mimic human actions, both in terms of repetitive, routine tasks and comprehensive procedures of completing a variety of tasks. Additionally, they carry out diagnostic and predicative tasks. They are used in the most recent technologies because they offer conclusions, shed light on processes, and offer automated actions based on data analysis and contextual human interactions. Since much of the labour done by employees is routine in nature, computers and algorithms may simply take over these activities. Information technology services and integrated solutions are offered by the Mphasis. It covers application services, infrastructure technology, and business process outsourcing. It adopts a customer-in view to transform organisations by utilising the sector-specific X2C2TM framework, which harnesses the power of cloud and cognitive to give hyper-personalized digital experiences to its customers. Background/Purpose: Mphasis is in the industry of: Business Services, Custom Software & IT Services, Management Consulting - leading applied technology services, helping enterprises transform businesses globally by applying next-generation technology. Design/Methodology/Approach: Referred websites and articles related to Mphasis development, services, cognitive applications. Findings: With regard to sales, delivery, and development, Mphasis innovates to produce excellent customer service and successful results. In order to maintain its clients at the top of the heap in a market that is constantly changing, its goal is to be flexible, nimble, and customer-centric. There have been companies with significant AI-related infrastructure in India. IISc has organizations with driving organizations like Robert Bosch, Faurecia; IIIT Bangalore is in association with Mphasis and focus Cognitive Computing; IIT Kharagpur has made AI inquire about focus with Capillary Technologies. Originality: This paper tries to give an overview of how Mphasis focuses on cognitive intelligence applications and anticipates 0the future of applied technology and forecasts tomorrow's trends. Paper Type: A Research Case study paper on the use of cognitive intelligence in Mphasis

The Practice of Mindful Communication Brings the Strong Effect on Spiritual Intelligence of School Students

This study aims to describe the influence analysis of students' mindful communication abilities on the spiritual intelligence of Triratna High School students in West Jakarta. Mindful communication ability is the communication ability that is adequately conveyed by being aware of aspects of language and communication ethics. Character is formed due to an understanding of the three relationships that every human being must experience. Spiritual intelligence is the foundation for intellectual and emotional intelligence to function effectively. This study used a descriptive approach and a quantitative regression method using two instruments to measure mindful communication's effect on students' mental intelligence at Triratna school, West Jakarta. The results of this study indicate that there is a positive relationship between mindful communication and cognitive intelligence. The results of this study contain implications that mindful communication has an essential role for students.

Blame Shifting: A Unique Phase in Bengali Children’s Meaning Acquisition Process

‘Blame shifting’ or ‘deflection’ is generally a psychological process where something is passed over to someone else in an attempt to draw attention away. It is a type of defense regarded as emotionally unmannerly. But in this paper, blame shifting has been presented as a positive aspect, representing a general phase that children go through during their first language acquisition period. When children acquire meaning, they shift blame, that starts as a psychological process but linguistically represents the creative use of language in different ways. In this paper, I tried to present the phase of blame shifting of ten participant children as a medium of meaning construction in their first language acquisition process. In an attempt to break the stereotypical assumption of the term ‘blame’, this paper would try to reflect how children shift blame on others as a part of their language development by manipulating language use and cognitive intelligence.
 Journal of the Asiatic Society of Bangladesh (Hum.), Vol. 68(1), 2023, pp. 99-118

Predictors of Academic Performance among Potential Medical Students: A Cross-Sectional Study from Rawalpindi

Objective: To compare the potential medical students regarding cognitive intelligence, emotional intelligence, social intelligence and academic performance.
 Study Design: Cross-Sectional study
 Place and Duration of Study: Army Medical College, Rawalpindi Pakistan, in October 2020.
 Methodology: The sample of the study comprised 512 male potential Medical students who completed their High School Education and came for the Entry test at Army Medical colleges with an age range of 17-21 years. All participants were assessed through the group administration of an assessment pack comprised of all tests.
 Results: Results revealed that among all 512 students, 390 were finally recommended as selected candidates, and the rest, 122 were finally not recommended. A comparison between recommended and not-recommended groups on study variables was drawn. And result revealed significant mean differences in the variables of Cognitive Intelligence (t=-3.592 and p<0.001) and Emotional intelligence (t=-3.969 and p<0.001) and non-significant differences in the variable of social intelligence and academic performance (t=-1.609; p<0.001; t=-0.900; p<0.001).
 Conclusion: Hence, academic performance is proven to be associated with emotional intelligence, IQ and personality characteristics. Better emotional regulation enables the students to develop better peer relations and invest energies in demanding academics owing to their cognitive and non-cognitive skills.

Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence

Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence

Towards a Heuristic Neuropsychological Model of Adjudicative Competency.

This study sought to delineate the neuropsychological processes that undergird the psycho-legal concept of competency to stand trial (CST). Accordingly, we retrospectively examined the relationship between clinical judgments of competence or incompetence of defendants committed to a maximum-security psychiatric facility and neuropsychological measures of cognitive and social intelligence and declarative memory. Results indicated that both groups (competent and incompetent) showed similar levels of depressed cognitive intelligence with Wechsler full-scale IQ levels falling in the upper end of the borderline range. Compared with defendants clinically judged as incompetent, defendants recommended as competent scored significantly higher on measures of social intelligence and episodic memory, with the most pronounced advantage occurring on tests of verbal memory that place heavy demands on encoding, consolidation, and retrieval of aurally presented narrative material. Cognitive capacities in areas of social intelligence and episodic memory may play critical roles in developing a heuristic neuropsychological model of CST. The evaluation of these domains offers implications for the assessment, restoration, and understanding of CST.

A Framework for Emotion-Oriented Requirements Change Handling in Agile Software Engineering

<bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Background:</b> Requirements Changes (RCs) – the additions/modifications/deletions of functional/non-functional requirements in software products – are challenging for software practitioners to handle. Handling some changes may significantly impact the emotions of the practitioners. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Objective:</b> We wanted to know the key challenges that make RC handling difficult, how these impact the emotions of software practitioners, what influences their RC handling, and how RC handling can be made less emotionally challenging. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Method:</b> We followed a mixed-methods approach. We conducted two survey studies, with 40 participants and 201 participants respectively. The presentation of key quantitative data was followed by descriptive statistical analysis, and the qualitative data was analysed using Strauss–Corbinian Grounded Theory, and Socio–Technical Grounded Theory analysis techniques. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Findings:</b> We found (1) several key factors that make RC handling an emotional challenge, (2) varying emotions that practitioners feel when it is challenging to handle RCs, (3) how stakeholders, including practitioners themselves, peers, managers and customers, influence the RC handling and how practitioners feel due to the stakeholder influence, and (4) practices that can be used to better handle RCs. <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Conclusion:</b> Some challenges are technical and some are social which also belong to aspects of agile practice, emotional intelligence, and likely belong to cognitive intelligence. Therefore, to better handle RCs with positive emotions in socio–technical environments, agility, emotional intelligence, and cognitive intelligence need to work in synergy with each other.

Analysis of Problem Based Learning Model on Students' Cognitive Intelligence in Mathematics Class IV Elementary School

The primary objective of this study is to investigate the impact that the PBL learning paradigm has on the cognitive ability of pupils. Quantitative techniques and experimental approaches are used in this kind of study. This design is a quasi-experimental one with a nonequivalent control group. SDN 111 pupils make up the whole population of this area, which has a total of 300 individuals. SDN 111 Pekanbaru provided the samples, which consisted of 25 pupils from class IV A and 25 students from class IV B. The method of sampling is called probability sampling, and it is combined with plain random sampling. The instrument is a description exam questions. The findings of the research using the independent sample t test demonstrate that Tcount = 2.840 and Ttable = 2.007, where Tcount is bigger than Ttable (2.840 &gt; 2.007). Given these findings, we may conclude that H1 is correct and H0 is incorrect. To summarize, the implementation of the PBL model has a positive impact on the level of cognitive intelligence exhibited by primary school children.

Injecting cognitive intelligence into beyond-5G networks: A MAC layer perspective

Injecting cognitive intelligence into beyond-5G networks: A MAC layer perspective

DeFACT in ManuVerse for Parallel Manufacturing: Foundation Models and Parallel Workers in Smart Factories

In cyber–physical–social systems, smart manufacturing has to overcome challenges, such as uncertainty, diversity, complexity in modeling, long-delayed responses to market changes, and human engineer dependency. DeFACT is a framework of parallel manufacturing in ManuVerse where the Decentralized Autonomous Organization-based interactions between parallel workers consisting of robotic, digital, and human workers are elaborated to transform from professional division to real-virtual division. In DeFACT, human workers are only responsible for 5% physical and mental work that is complex and creative, and the robotic and digital workers can take care of the rest. The perceptual and cognitive intelligence of digital workers are intensified by a manufacturing foundation model (MF-PC), where calibration and certification (C&C), and verification and validation (V&V) guarantee not only the accuracy of task models, but also the interpretability and controllability of feature learning. As a case study, the workflow of customized shoes of SANBODY Technology Company is illustrated to show how DeFACT breaks the time and space constraints, avoids production waste caused by aesthetic discrepancies with consumers, and truly realizes flexible manufacturing.

The Analysis Of The Effect Of Emotional Intelligence On Understanding Level In Programming Algorithm Learning

The course Algorithms and Programming in the Informatics Engineering study program is given in the first and second semesters, as this course is a scientific course that serves as a basis for advanced programming courses in higher semesters. It is often the case that intelligent graduates obtain good academic grades during their studies and become outstanding students, but when working in their field of expertise, their performance is not as good as graduates who had lower academic grades. Success is not only determined by intellectual intelligence (IQ), but also by other types of intelligence. Intellectual intelligence or cognitive intelligence is one type of intelligence, while non-intellectual intelligence includes other types of intelligence outside of cognitive intelligence. One of this non-intellectual intelligence is emotional intelligence. Intellectual intelligence and non-intellectual intelligence play equally important roles in supporting individual success.&#x0D; This research discusses the analysis of the effect of emotional intelligence on the level of understanding of algorithms and programming using the linear regression method implemented with an application. The sample taken is students of the Informatics Engineering study program in the third and fourth semesters. With the results of the influence of emotional intelligence on the understanding of Algorithms and Programming, it can provide a solution to improve students' understanding of the Algorithms and Programming course and other computer courses in the scientific field of the Informatics Engineering study program. The application is created using the Python programming language

Educational Intervention System for Learning Disabilities of Rural Left-Behind Children Driven by Cognitive Intelligence

Given the phenomenon those left-behind children are prone to learning disabilities and psychological problems because their parents work outside for a long time. This paper puts forward a design scheme for an educational intervention system for left-behind children with learning disabilities. The plan is to collect and analyze the data on left-behind children's learning status. According to the results of data analysis, it can predict the learning behavior, knowledge, and emotion of left-behind children. Early warning indicators and implementation rules of intervention strategies are designed in advance for the system. When the diagnosis result of left-behind children exceeds the warning index, corresponding intervention measures should be taken to solve the learning disabilities of left-behind children. Through the study of the educational intervention system for left-behind children with learning disabilities, the data on left-behind children's learning situation are collected, analyzed, and designed, and a new educational intervention system of intelligent and interactive learning is constructed.

Understanding table content for mineral exploration reports using deep learning and natural language processing

The geological reports contain various tables, and can offer mineral element content data and stratum detailed information. Geological tabular information extraction and its semantic fusion with text is of great significance in converting and fusing geological unstructured data into structured knowledge to guide cognitive intelligence analysis in the geoscience domain. While the performance of general tools and existing table structure analysis methods is limited due to the various merged cells and diagonally split table headers. To address this issue, we propose a novel approach based on the improved Mask R-CNN model to identify and parse the forms. The geological table parsing network constructed in this paper consists of two key steps: (1) A cell feature augmentation (CFA) module to learn the contextual features for identifying cells of different sizes. (2) A table parsing method (GTab) to parse the table header cells with split lines. We compare the proposed method with commonly used table parsing methods on our constructed geological table dataset. Our models are easily integrated into a prototype system to provide joint information processing and analysis.

Human intelligence-based metaverse for co-learning of students and smart machines.

This paper proposes a Human Intelligence (HI)-based Computational Intelligence (CI) and Artificial Intelligence (AI) Fuzzy Markup Language (CI&AI-FML) Metaverse as an educational environment for co-learning of students and machines. The HI-based CI&AI-FML Metaverse is based on the spirit of the Heart Sutra that equips the environment with teaching principles and cognitive intelligence of ancient words of wisdom. There are four stages of the Metaverse: preparation and collection of learning data, data preprocessing, data analysis, and data evaluation. During the data preparation stage, the domain experts construct a learning dictionary with fuzzy concept sets describing different terms and concepts related to the course domains. Then, the students and teachers use the developed CI&AI-FML learning tools to interact with machines and learn together. Once the teachers prepare relevant material, students provide their inputs/texts representing their levels of understanding of the learned concepts. A Natural Language Processing (NLP) tool, Chinese Knowledge Information Processing (CKIP), is used to process data/text generated by students. A focus is put on speech tagging, word sense disambiguation, and named entity recognition. Following that, the quantitative and qualitative data analysis is performed. Finally, the students' learning progress, measured using progress metrics, is evaluated and analyzed. The experimental results reveal that the proposed HI-based CI&AI-FML Metaverse can foster students' motivation to learn and improve their performance. It has been shown in the case of young students studying Software Engineering and learning English.

PENINGKATAN KAPABILITAS ’’ENTREPRENEURSHIP OF SMECTRA’’ DALAM MENGHADAPI ERA INDUSTRI 5.0

SMK NU Gresik has 736 students with the number of graduations reaching 225 per year. However, the development of IT (Information Technology) and globalization has influenced companies to innovate in industrial automation. As a result, less job opportunities and reduced absorption of SMK NU Gresik graduates in IDUKA (Industrial and Business World). The location plan for the implementation of the Community Partnership Program (PKM) is at the Gresik NU SMK which has the potential to carry out entrepreneurial development activities and business development.&#x0D; In addition, SMK NU Gresik has the potential to become a school that produces entrepreneurs by embedding entrepreneurial concepts holistically or involving cognitive, affective and psychomotor domains. Entrepreneurship lessons should be provided with a larger and more dominant portion when compared to other subjects that are oriented towards cognitive intelligence.&#x0D; The objectives of implementing PKM activities are; 1. Prepare students to enter the workforce and business world and develop a professional attitude. 2. Prepare students to be able to choose careers, be competent and able to develop themselves. 3. Preparing the middle level workforce to fill the needs of industry and the world of work at this time and in the future. 4. Prepare graduates to become productive, adaptive and creative citizens with a science and technology perspective. Through coaching in this PKM program, it can improve entrepreneurial spirit and skills so that they are ready to enter the industrial world and the business world.

Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence

Flexible electronics such as tactile cognitive sensors have been broadly adopted in soft robotic manipulators to enable human-skin-mimetic perception. To achieve appropriate positioning for randomly distributed objects, an integrated guiding system is inevitable. Yet the conventional guiding system based on cameras or optical sensors exhibits limited environment adaptability, high data complexity, and low cost effectiveness. Herein, a soft robotic perception system with remote object positioning and a multimodal cognition capability is developed by integrating an ultrasonic sensor with flexible triboelectric sensors. The ultrasonic sensor is able to detect the object shape and distance by reflected ultrasound. Thereby the robotic manipulator can be positioned to an appropriate position to perform object grasping, during which the ultrasonic and triboelectric sensors can capture multimodal sensory information such as object top profile, size, shape, hardness, material, etc. These multimodal data are then fused for deep-learning analytics, leading to a highly enhanced accuracy in object identification (∼100%). The proposed perception system presents a facile, low-cost, and effective methodology to integrate positioning capability with multimodal cognitive intelligence in soft robotics, significantly expanding the functionalities and adaptabilities of current soft robotic systems in industrial, commercial, and consumer applications.