Intelligence Course Research Articles

An intelligent course keeping active disturbance rejection controller based on double deep Q‐network for towing system of unpowered cylindrical drilling platform

AbstractTowing is a widely used mode of transportation in offshore engineering, and towing of unpowered platforms is of particular significance. However, the addition of unpowered facilities has increased the difficulty of ship maneuvering. Moreover, the marine environment is complex and changeable, and sudden winds or waves can have unpredictable effects on the towing process. Therefore, it is of great significance to overcome the influence of the harsh marine environment while navigating the towing system following a planned course to a target sea area. To tackle the time‐varying disturbances, a course control method for a towing system of unpowered cylindrical drilling platform is designed based on double deep Q‐network (DQN) optimized linear active disturbance rejection control (LADRC). To be specific, to tackle the difficulty of LADRC tuning, double DQN is applied to select the best parameters of the LADRC at any time according to the states of the system, without relying on the specific information of the model and the controller. The course control performance of the towing system is evaluated in a simulation environment under various disturbances. Moreover, the Monte Carlo experiment is used to test the robustness of the controller when the ship's mass changes and the robustness of the proposed method is verified by testing with various heading angles. The results show that the LADRC with adaptive parameters optimized by double DQN performs well under external interference and inherent uncertainty, and compared with the traditional LADRC, the proposed method has better course control effects.

Modeling Method and Application of College Comprehensive Teaching Mode Based on Artificial Intelligence

Under the influence of artificial intelligence, education is undergoing a profound innovation. On the basis of expounding the important position of artificial intelligence in the field of computer, this paper studies the modeling method of college comprehensive teaching mode based on artificial intelligence. This paper analyzes the feasibility of applying the task driven method to the teaching of artificial intelligence course based on the teaching objectives of artificial intelligence course and the characteristics and steps of task driven teaching method. This paper proposes a task driven teaching model of artificial intelligence. Then, this paper explores the specific shift process of instructional design paradigm under the background of artificial intelligence. In the pre intelligence stage, this study uses the paradigm shift analysis framework to verify whether Cai instructional design, multimedia instructional design and information instructional design have migration. For the teaching design in the intelligent stage, this paper first expounds the inevitability of the paradigm shift of teaching design under the background of artificial intelligence from the aspects of the opportunities brought by artificial intelligence to education and teaching, the problems of the original information-based teaching design and the many challenges it faces. At last, the typical application cases under the guidance of intelligent instructional design paradigm are described in detail.

Research on the Method of Ideological and Political Integration of Artificial Intelligence Course

Research on the Method of Ideological and Political Integration of Artificial Intelligence Course

Teaching Emotional Intelligence Online: The Sociology of Discussion Boards

Student engagement in an online class has always been a challenge to faculty. We all know that online courses can be difficult for some students, and online discussions do not always turn out as planned. How do we maximize our online communication effectiveness? In a case study of an Emotional Intelligence course in a community college setting, we looked at this through a sociological lens and built on the perspective of socialization theories and conceptions to see students quickly become engaged in discussions with their classmates and openly share their concerns. Data was analyzed and lessons learned.

Performance Evaluation of LSA, NMF and ILSA in Electronic Assessment of Free Text Document

Aims: To evaluate the performance of an Improved Latent Semantic Analysis (ILSA), Latent Semantic Analysis (LSA), Non-Negative Matrix Factorization (NMF) algorithms in an Electronic Assessment Application using metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence, Assessment Accuracy and Adequacy in Semantic Representation.
 Methodology: The three algorithms were separately applied in developing an Electronic Assessment application. One hundred students’ responses to a test question in an introductory artificial intelligence course were used. Their performance was measured based on the following metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence and Assessment Accuracy.
 Results: ILSA outperformed the LSA and NMF with an assessment accuracy of 96.64, mean divergence from manual score of 0.03, and recall, precision and f-measure value of 0.83, 0.85 and 0.87 respectively.
 Conclusion: The research observed the performance of an improved algorithm ILSA for electronic Assessment of free text document using Adequacy in Semantic Representation, Retrieval Quality and Assessment Accuracy as performance metrics. The results obtained from the experimental designs shows the adequacy of the improved algorithm in semantic representation, better retrieval quality and improved assessment accuracy.

Intelligent Course Scheduling System Based on Case-based Reasoning

In view of the current situation of tight teaching resources, the intelligent scheduling system alleviates this problem to a certain extent, and the advantages and disadvantages of the scheduling method determine the performance of the scheduling system. a method based on Case-based reasoning is presented in this paper to solve the course scheduling problem. Using graph theory, a case representation model is built for the course scheduling problem, a measure is established for case similarity, and a case retrieval method based on maximum common subgraph selection is brought forward. Finally, the validity of the proposed method for solving course scheduling problem based on case-based reasoning is verified through an experiment.

Aims for cultivating students’ key competencies based on artificial intelligence education in China

Cultivating students’ key competencies contributes to students’ adaptation to the fast developing intelligent era. Artificial intelligence education is an important way to cultivate students’ key competencies. It is increasingly important to set up appropriate artificial intelligence courses at the fundamental education stage and cultivate students’ key competencies via such courses. This paper describes quantitatively how AI courses cultivate students’ key competencies. First, we analyze the necessity of artificial intelligence education at the fundamental education stage and the status quo of artificial intelligence education in China. Next, we elaborate the students’ key competencies which is composed of knowledge competence, team competence and learning competence, and design the curriculum of artificial intelligence at the fundamental education stage. Finally, through collecting students’ questionnaires, we analyze the relationship between the curriculum of artificial intelligence and the cultivation of students’ key competencies. Experimental evaluations demonstrate that the 7 categories of artificial intelligence courses are beneficial to the cultivation of the six key sub-competencies of students. In addition, the problems in the current artificial intelligence curriculum are identified and suggestions for improvement are put forward.

Blended Learning implementation in introduction to artificial intelligence courses using the System Development Life Cycle method

Indonesia is an island nation with geographical conditions that are bounded by many seas and mountains. The situation causes the condition of the islands that are far apart from one another. This certainly affects the conditions and social, economic, technological, and related interactions in daily life, one of which is the level of educational progress in one region / island with other regions / islands. The level of educational progress is certainly influenced by how the learning system is implemented in that place. To overcome the obstacles in improving the quality of learning and equal distribution of learning opportunities in different geographical, cultural, socioeconomic conditions, one solution is created, namely Blended Learning by utilizing devices connected to the internet. Methods that can be used in this research include SDLC (System Development Life Cycle). The optimism of the successful implementation of the Blended Learning system is very high because the facilities and atmosphere of various parties are very supportive plus the needs will become priority needs for everyone in this case students. In the province of East Nusa Tenggara has the geographical conditions of many islands, therefore the Blended Learning system is good enough to be applied, because in addition to the above mentioned transportation limitations for students and educators also become obstacles in conventional learning.

Improving the quality of care in health systems: towards better strategies

Improving the quality of health care across a nation is complex and hard. Countries often rely on multiple single national level programmes to make progress. But the key is to use a framework to develop a balanced overall strategy, and evaluate the main elements continuously and over time. Achieving that requires having a critical mass of leaders who collectively can see the bigger picture now, envision a roadmap for the future to chart an intelligent course, and course correct regularly. This is a long-term agenda requiring commitment, careful stewardship, different perspectives, trust, and the building of knowledge and experience over time. It is also almost completely at odds with much current policymaking which is short term, reactive and demands hard results. Many countries are making progress. But the rapid introduction of new types of care during the COVID 19 pandemic, such as online and digital, the use of new technologies which could soon revolutionalise the way care is delivered, experienced and evaluated, and the huge pressures on spending on health care in future mean we will have to do better. Achieving system-wide quality of care requires having a critical mass of leaders who collectively can see the bigger picture now, envision a roadmap for the future to chart a balanced intelligent course. For the Israeli health system, the recent IJHPR article by Dreiher et al. will help, but it will be important, in the future, to analyse how Israel measures up on the framework outlined above. This ideally would be supplemented with a survey of key leaders for their assessment, and both would be a regular (say 5 yearly) exercise and would help inform future strategies.

Engineering Emotional Intelligence in Moroccan Primary School

The Moroccan socio-economic context is more and more weakened by a dynamic of accelerated measures aimed at redressing the financial deficits of the state. The first emotionally impacted by this dynamic are parents and therefore their children who begin to live in a universe dominated by fluctuations and unforeseen events.This article will therefore explore the emotional situation of Moroccan pupils at the beginning of schooling and identify their needs in this area, in order to initiate a dynamic of engineering emotional intelligence in primary school.The study was carried out in 3 school groups in Casablanca on a mixed population of 160 pupils and was spread out over a month. The used tools comprised interviews with survey filling to measure the degree of awareness of emotions on the part of these pupils and their teachers. Subsequently, the population was subjected to two tests respectively of impulses control and team spirit.The results show an initial dominance of emotions in the studied population and demonstrate the major interest of a gradual integration of emotional intelligence courses in the primary cycle of education.

Research on ceramic tile defect detection based on YOLOv3

Artificial intelligence is a technology that studies, simulates and expands human intelligence theory and related methods, it is the direction of modern and future science and technology development. The teaching methods of artificial intelligence courses are supposed to be different from the traditional teaching methods, but the actual investigation finds that there are still some problems in the artificial intelligence course, such as the single teaching mode, the low enthusiasm of students for studying, and the poor practical ability of students. In order to solve these issues, this paper applies project teaching methods to an artificial intelligence course, through a specific tile defect detection project to analyse. YOLOv3 algorithm is used to detect six kinds of tile defects, and the experimental results are analysed.

Research on licence plate recognition based on digital image

As one of the trends in the development of science and technology, artificial intelligence has been widely used in all walks of life, especially the education industry. Aiming at the problem of image processing in the field of artificial intelligence, this article applies the experimental teaching method of artificial intelligence course, introduces the licence plate recognition experiment based on digital images, extracts the edge contour of the licence plate, uses convolutional neural network to train the licence plate data set and predicts the licence plate number, to solve specific image processing problems. Through experimental teaching, students will have a better understanding of image processing technology. Through familiarity with the licence plate recognition process and independent programming, the students' innovation ability can be cultivated and the comprehension quality of the students can be improved.

Design and Application of Intelligent Course Selection Algorithm for School

Course supermarkets are emerging in many schools in China. Therefore, choosing the right courses has become a practical problem for many students. One of the primary concerns of students is to earn enough credits in a particular time limit. In this paper, we study the problem of credits maximization and evaluate the accuracy and efficiency of three different algorithms: greedy method, search method, and dynamic programming. Finally, we propose a practical implementation of the course selection algorithm that would provide new ideas for students to choose courses and suggestions for schools to set up online curriculums and course selection models.

Writing and speech instruction in an introductory artificial intelligence course

Providing opportunities in both written and oral communication continues to grow in importance within the undergraduate Computer Science major. An introductory course in Artificial Intelligence tha...

Development of Higher Vocational Artificial Intelligence Course based on Enterprise Real Project

In the era of intelligence, the development of artificial intelligence technology has greatly promoted the demand of relevant professional courses. This paper mainly analyses the framework and implementation process of the enterprise real project “garbage sorting robot system” which is the project carrier of artificial intelligence course. On this basis, according to the knowledge system of artificial intelligence technology, the relevant teaching knowledge points and teaching methods of artificial intelligence course are designed.

ATTITUDES OF THE ESTONIAN BORDER GUARD AND POLICE OFFICERS ON IMMIGRATION AND RADICALIZATION

The article in the first part outlines the current discussion of the state of training under cultural intelligence, including definitions and examples of possible interdictions of the bad players. The second part describes the attributes and attitudes of Border Guard and Police officers after cultural intelligence courses, defining and applying the concepts towards internal security with a focus on Cultural Identity, “what makes a person tick.” An empirical study consisting of written reports was conducted over a three-year period and compiled to reflect attitudes towards immigration and radicalization in the EU.

RETRACTED: Online intelligent course based on grid and FPGA system

Online intelligent course management is all about starting situations to boldly share information. The Grid knowledge of the goods and the ability to deliver, manage, and that they will be able to obtain the information you need about current development. FPGA (Field Programmable Gate Arrays) can cause the interface to grow faster and decline the large scale integration cycle design. A FPGA-based advanced structure has improved efficiency of another ASIC (application-specific integrated circuit) to discuss the various learning tools available online to improve the effectiveness of their learning and sharing habits to educate students with the help of social networks. Integrated field programmable based learning systems provide opportunities to create new interactive environments at a fast and affordable cost. The online intelligent course system used effective machine learning algorithm is used to improve the users or people knowledge with low cost and they spend more time on online studies to develop the skills. Based on the intelligent course method of these various architectures, grid suggestions about the limitations were observed. Further on, emphasize some of the large scale integration challenges and design issues that have been followed in order to make fruitful improvement in the intelligent online architecture system to provide the cultural aspects of online studies. Knowledge about the needed instruction is essential,so that the system can track all the technically feasible actions of the response track system. An implementation view the proposed field programmable array is used to determine the importance of online course systems from one point of view.

TEACHER TRAINING AND EDUCATION PROGRAMS IN LATVIA: ARE E-COMPETENCES INCLUDED?

Purpose – the purpose of this research is to review the contents of Latvian teacher training and education programs in order to identify if the development of students’ e-competences is included into these programs as an important objective and value. The importance of the development of these competences has been stressed in various EU documents and scientific literature. The scientific importance of the paper lies in gathering evidence for the inclusion of e-competences into teacher training and education curricula and demonstrating that e-competences have not yet acquired a value status in teacher training and education programs. Research methodology – the methodology included the keyword in context and concordance analysis of self-assessment reports and program descriptions, which were run in the software AntConc. Findings – out of 190,000 word tokens, the KWIC analysis identified only 75 entries related to e-competences, most of which included basic skills of information and communication technologies. Other more advanced concepts, such as virtual reality, artificial intelligence, adaptive spaces, e-competences, e-education and e-learning, were hardly mentioned. Research limitations – one limitation of this research is the focus on Latvian teacher training and education programs without their comparison to similar European programs, which would allow for determining the competitiveness of such Latvian programs in Europe. Practical implications – the obtained results suggest that the development of e-competences has not been perceived as value in teacher training and education programs in Latvia, and in order to bridge this gap, programming and artificial intelligence courses should be introduced into the curricula of such programs. Originality/Value – the research has demonstrated that the EU aim of boosting the competitiveness of the European education through the development of e-competences is yet to be implemented into teacher training and education programs in Latvia.

비대면 온라인 수업 사례 고찰: 동영상 녹화 및 실시간 화상 수업 중심으로

The purpose of this study is to contribute to the improvement of the quality of online courses delivered as the mode of non-face-to-face class situation during the spring semester in 2020. The subject courses were ‘Chemistry Logic and Essay’ and Artificial Intelligence targeted at the junior or senior students. The number of participating students were 8 and 20 students in ‘Chemistry Logic and Essay’ (mixed video and video conference) and Artificial Intelligence (video conference class), respectively. They filled out questionnaires about their perception on taking non-face-to-face courses and also submitted reflection notes at the end of the semester. The characteristics of the non-face-to-face class and the students’ perception were analyzed and compared with each other.
 By adopting a case study method, we obtained the following results. For the course of ‘Chemistry Logic and Essay’, there were the following benefits: 1) the online teaching materials were systematically accumulated, 2) the students could turn out to increase their learning efficiency and 3) the lecturer could systematically deal with the students’ learning outcomes. However, the following disadvantages were also revealed: 1) the lecture could not grasp the students’ learning progress easily and 2) the students with less self-directed learning skills were not able to obtain the efficient learning progress. On the other hand, the Artificial Intelligence course, took real-time video conferencing method, which showed several benefits such as the presentation of learning materials through screen sharing, the cultivation of logical/computing thinking through carrying out coding tasks and presenting her own individual project. On the other side of coin, it called for flexible adjustment of individualized learning, etc. Overall, the case comparison study indicated several factors that might enhance the next round of online course delivery for per-service teachers.

Artificial Intelligence and Mobile Programming Courses for a Video Game Development Program in Chile

In this article, we present our curriculum design process for two-third-year undergraduate courses: artificial intelligence for video games and mobile device programming. These are part of a 4.5 year program in video game development and virtual reality engineering. We explore the range of possible content, usually aimed at traditional computer science or software engineering students or practitioners, and extract and adapt it to our particular program. Students developed high quality apps, achieved good standings in AI competitions, and some even published peer-reviewed articles. We believe the approach presented in this article is broadly applicable, but can be especially useful to instructors creating courses for uncommon and innovative programs.