Intelligent ship control with online learning ability

1997 ◽  
Vol 8 (5) ◽  
pp. 196-200 ◽  
Author(s):  
M.N. Polkinghorne ◽  
G.N. Roberts ◽  
B.S. Burns
Keyword(s):  
Online Learning ◽  
Learning Ability ◽  
Ship Control

scholarly journals An Adaptive Fast Terminal Sliding Mode Controller of Exercise-Assisted Robotic Arm for Elbow Joint Rehabilitation Featuring Pneumatic Artificial Muscle Actuator

Actuators ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 118
Author(s):  
Huu Tho Nguyen ◽  
Van Chon Trinh ◽  
Thanh Danh Le
Keyword(s):  
Fuzzy Logic ◽  
Online Learning ◽  
Elbow Joint ◽  
Artificial Muscle ◽  
Learning Ability ◽  
Experimental Result ◽  
Robotic Arm ◽  
Pneumatic Artificial Muscle ◽  
Model Based ◽  
Fuzzy Logic Technique

Due to the time-varying nonlinear dynamic, uncertain model and hysteresis characteristics of the pneumatic artificial muscle (PAM) actuator, it is not easy to apply model-based control algorithms for monitoring, as well as controlling, the operation of systems driven by PAM actuators. Hence, the main aim of this work is to propose an intelligent controller named adaptive sliding controller adding compensator (ASC + C) to operate a robotic arm, featuring a pneumatic artificial muscle actuator, which assists rehabilitation exercise of the elbow joint function. The structure of the proposed controller is a combination between the fuzzy logic technique and Proportional Integral Derivative (PID) algorithm. In which, the input of fuzzy logic controller is the sliding surface, meanwhile, its output is the estimated value of the unknown nonlinear function, meaning that the model-based requirement is released. A PID controller works as a compensator with online learning ability and is designed to compensate because of the approximate error and hysteresis characteristic. Additionally, to improve convergence and to obtain stability, a fast terminal sliding manifold is introduced and online learning laws for parameters of the controller are attainted through the stable criterion of Lyapunov. Finally, an experimental apparatus is also fabricated to evaluate control response of the system. The experimental result confirmed strongly the ability of the proposed controller, which indicates that the ASC + C can obtain a steady state tracking error less than 5 degrees and a position response without overshoot.

scholarly journals SELF-REGULATED LEARNING AND DIGITAL LEARNING ENVIRONMENT: ITS’ EFFECT ON ACADEMIC ACHIEVEMENT DURING THE PANDEMIC

2021 ◽  
Vol 40 (2) ◽  
pp. 374-388
Author(s):  
Nani Sutarni ◽  
M Arief Ramdhany ◽  
Achmad Hufad ◽  
Eri Kurniawan
Keyword(s):  
Academic Achievement ◽  
Online Learning ◽  
Learning Environment ◽  
Student Perceptions ◽  
Structural Equation ◽  
Learning Ability ◽  
Digital Learning ◽  
Digital Learning Environment ◽  
Self Regulated Learning ◽  
Regulated Learning

The unprecedented changes in the education sector due to the recent pandemic demand teachers and students to adapt to new ways of learning via online platforms. A plethora of latest research has investigated various topics such as online learning platforms, online learning materials, and teacher/student perceptions; however, little is known about the link between online learning and achievement. Occupying this lacuna, this study specifically sought to examine the relationship between self-regulated learning (SRL), the digital learning environment, and student’ academic achievement during the pandemic.  The population of this research was 1,800 students (freshmen, sophomore, junior, and senior class) enrolled for the Introduction to Management course at a state university in Bandung, Indonesia. Selected using a proportionate random sampling, 317 students participated as the respondents.  The data were collected through questionnaire surveys, while the Structural Equation Model (SEM) was employed to analyze the interrelationship among the construct variables.  The results of this study show that promoting SRL may affect the optimization of the digital learning environment and academic achievements.  Students with better self-regulated learning ability can somehow optimize their digital learning environment and be more progressive in terms of academic achievement.

scholarly journals Offline or online?: EFL students’ perceptions on working in face-to-face and virtual learning modes

2021 ◽  
Vol 9 (1) ◽  
pp. 113
Author(s):  
Rahmat Yusny ◽  
Fitria Rizki ◽  
Ika Kana Trisnawati ◽  
Mulia Mulia
Keyword(s):  
Online Learning ◽  
Language Learning ◽  
Learning Experiences ◽  
Language Education ◽  
Learning Activities ◽  
Learning Ability ◽  
Learning Activity ◽  
Face To Face ◽  
Offline Learning ◽  
Learning Modes

Given the intensified number of online learning activities and having inadequate knowledge to identify the details of how it was organized within increased students’ language learning ability; this study focused on identifying the students’ perceptions of learning in two different situations. This study investigated how students perceived working in a new learning mode (online learning activity) compared to the traditional or face-to-face learning mode (offline learning activity) in regards to the learning frameworks, including the depth and comprehensiveness of learning, appropriate length for learning, comfortability of learning, and flexibility of learning. Ten students were selected to be the participants of the current study; all of whom were sixth and eighth semester students at the Department of English Language Education of Universitas Islam Negeri Ar-Raniry Banda Aceh. They were served by several questions related to their experiences working on two different learning modes. The findings revealed that working in offline learning mode was still the common preference among the students and only a few of them preferred online learning. Even more interesting was the finding of one or two students who perceived no differences between participating in offline and online class learning activities. In addition, the findings also indicated that interaction between the course instructors and students still becomes a prominent element on the students’ satisfaction and comfort of learning. The students also suggested that the keys to their satisfactory learning experiences are access to learning materials and to their class instructors. To conclude, this study also provides new insights on what matters the most to the students’ learning experiences with respect to the current online learning trend. 

scholarly journals Personalized Online Learning Resource Recommendation Based on Artificial Intelligence and Educational Psychology

2021 ◽  
Vol 12 ◽  
Author(s):  
Xin Wei ◽  
Shiyun Sun ◽  
Dan Wu ◽  
Liang Zhou
Keyword(s):  
Artificial Intelligence ◽  
Online Learning ◽  
Educational Psychology ◽  
Learning Ability ◽  
Superior Performance ◽  
Learning Resources ◽  
Recommendation Algorithm ◽  
Learning Resource ◽  
Psychology Theory ◽  
Online Learning Resources

The objective of the study is to explore an effective way for providing students with the appropriate learning resources in the remote education scenario. Artificial intelligence (AI) technology and educational psychology theory are applied for designing a personalized online learning resource recommendation scheme to improve students' learning outcomes. First, according to educational psychology, students' learning ability can be obtained by analyzing their learning behaviors. Their identities can be classified into three main groups. Then, features of learning resources such as difficulty degree are extracted, and a LinUCB-based learning resource recommendation algorithm is proposed. In this algorithm, a personalized exploration coefficient is carefully constructed according to student's ability and attention scores. It can adaptively adjust the ratio of exploration and exploitation during recommendation. Finally, experiments are conducted for evaluating the superior performance of the proposed scheme. The experimental results show that the proposed recommendation scheme can find appropriate learning resources which will match the student's ability and satisfy the student's personalized demands. Meanwhile, by comparing with existing state-of-the-art recommendation schemes, the proposed scheme can achieve accurate recommendations, so as to provide students with the most suitable online learning resources and reduce the risk brought by exploration. Therefore, the proposed scheme can not only control the difficulty degree of learning resources within the student's ability but also encourage their potential by providing suitable learning resources.

scholarly journals IMPLEMENTASI ONLINE LEARNING PROGRAM (OLP) DENGAN MEDIA PEMBELAJARAN BERBASIS MULTIMEDIA UNTUK MENINGKATKAN PEMAHAMAN MATAKULIAH BIOLOGI UMUM PADA MAHASISWA PROGRAM STUDI PENDIDIKAN MATEMATIKA STKIP BINA INSAN MANDIRI SURABAYA

2015 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Noviana Desiningrum
Keyword(s):  
Online Learning ◽  
Mathematics Education ◽  
Action Research ◽  
Research Method ◽  
Student Response ◽  
Learning Ability ◽  
Education Faculty ◽  
Learning Program ◽  
First Semester ◽  
Classroom Action Research

The research was conductedon for the first semester students of mathematics education faculty at STKIP-BIM Surabaya. The purpose of this research included:1) Obtain data on Implementation of Online Learning Program (OLP) with Media Multimedia-Based Learning, 2) Obtaindataonstudentcomprehension, 3) Obtainthe datapassing gradestudents, 4) Obtain data on Student Response. The research method which is used in this research is byusing the Classroom Action Research (Classroom Action Research). The results from this study include: view sof students' understanding forthe learning ability of OLP in the first cycle of 60.2 %, where asin the second cycle of 97% resulting in an increase in the percentage of 36.8% and the learning is successful. View ed from masteryof learning out comes in the first cycle was 68.5% while the second cycle of 80.5%, an increase of 12%. The  students response for the Online Learning Program (OLP) model based multimedia which is including positive category. From this case, it can be said already managed to apply the learning for the student.

scholarly journals Association Between Online Self-Directed Learning Ability and Negative Emotions Among College Students During the COVID-19 Pandemic: A Cross-Sectional Study in Anhui Province, East China

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei-wei Chang ◽  
Liu Zhang ◽  
Li-ying Wen ◽  
Hong Su ◽  
Yue-long Jin
Keyword(s):  
College Students ◽  
Online Learning ◽  
Negative Emotions ◽  
Cross Sectional Study ◽  
Anhui Province ◽  
Learning Ability ◽  
Sectional Study ◽  
Self Directed Learning ◽  
Cross Sectional ◽  
Directed Learning

Background: This study investigated the correlation between depression, anxiety, and stress among college students engaged in online learning during the coronavirus disease 2019 (COVID-19) pandemic and self-directed learning (SDL) ability, which could provide a scientific basis for mental health education of the college students.Methods: A cross-sectional study was conducted among 5,558 students from two universities in Anhui province, East China. The Depression, Anxiety, and Stress Scale-21 (DASS-21) and the Self-directed Learning Ability Scale were used to conduct an online questionnaire survey.Results: A total of 35.15, 36.32, and 17.24% of college students reported symptoms of depression, anxiety, and stress, respectively. Males and nonmedical students were at higher risks to suffer from depression, anxiety, and stress. In adjusted model, compared with Q1 of self-management ability, the odds ratio (OR) of the Q2, Q3, and Q4 were as follows: 0.635 (0.531–0.759), 0.504 (0.415–0.611), and 0.312 (0.248–0.392) for depression; 0.639 (0.535–0.764), 0.653 (0.540–0.789), and 0.421 (0.338–0.525) for anxiety; and 0.649 (0.523–0.805), 0.579 (0.457–0.733), and 0.482 (0.364–0.637) for stress. For information capability, decrease in risk was even more pronounced: Q2 (0.654, 0.540–0.794), Q3 (0.560, 0.454–0.690), and Q4 (0.233, 0.181–0.301) for depression; Q2 (0.781, 0.646–0.945), Q3 (0.616, 0.501–0.757), and Q4 (0.276, 0.216–0.353) for anxiety; and Q2 (0.444, 0.357–0.553), Q3 (0.454, 0.357–0.578), and Q4 (0.272, 0.202–0.368) for stress. Compared with the Q2 group of cooperation learning ability, cooperation learning ability quartiles were positively associated with depression (Q1: 1.382, 95% CI: 1.138–1.678), anxiety (Q4: 1.260, 95% CI: 1.008–1.576), and stress (Q1: 2.002, 95% CI: 1.583–2.532; Q3: 1.600, 95% CI: 1.252–2.044; Q4: 1.674, 95% CI: 1.243–2.255).Conclusion: The prevalence of depression, anxiety, and stress among college students was high for those studying online at home during the COVID-19 pandemic, especially among nonmedical students and males. SDL ability was negatively associated with negative emotions of the college students during this period of online learning.

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