International Journal of Continuing Engineering Education and Life-Long Learning (12 papers in press)
The promotion role of mobile online education platform in students' self-learning
by Canbin Yin, Lihui Nian, Jing Wei
Abstract: In order to solve the problem that traditional mobile online education platform can not provide personalised recommendation according to students' own situation and neglect students' learning emotion. A new mobile education platform was designed, and the role of the mobile online education platform in promoting students' self-learning was analysed. The education platform is designed using a C/S structure. It is composed of application layer, service layer and storage layer. The nearest neighbour set is formed by the FRUTAI method, and the user data filling of mobile online education platform is completed. The user's score information is used to get neighbour users and complete personalised recommendation. According to the relationship between expression and emotion in emotional psychology, the recognition module of expression information is processed to identify the expression, and the students' emotional state is obtained. According to the mapping relationship between learning state and two-dimensional emotional space, students' learning state and evaluation results are obtained. This paper analyses the role of mobile online education platform in promoting students' self-learning, and draws a conclusion that the design of mobile online education platform can improve students' interest in learning, increase students' self-learning time and enhance students' self-learning ability.
Keywords: mobile online; education platform; students' self-learning; promotion; role.
Analysis of the Influence of Multimedia Network Hybrid Teaching on College Students English Learning Ability
by Peng Sang
Abstract: In order to improve college students' English learning ability, this paper puts forward a model to analyse the influence of multimedia network mixed teaching on college students' English learning ability. Based on the logistic regression analysis method, the multimedia hybrid network is designed, and the network node model of multimedia network hybrid teaching is constructed. This paper constructs an information acquisition model adapted to college students' English learning ability, and uses an improved extreme learning machine model to integrate multimedia network teaching information with college students' English learning ability information. The simulation results show that the method has high accuracy in analysing the effect of multimedia network mixed teaching on college students' English learning ability, and reduces the network transmission delay, improves the throughput, and promotes college students' English learning ability.
Keywords: Multimedia network; hybrid teaching; college English; learning ability; modified extreme learning machine.
College English Teaching Mode Based on Intelligent Robot
by Jun Wang
Abstract: Using the traditional method to design college English teaching mode, normally the students' satisfaction is not high, which leads to the situation where the students' performance is not ideal. Therefore, a research method of college English teaching mode based on intelligent robots is proposed. Firstly, in order to realise the stable control of the intelligent robot in college English teaching, a motion planning model of the intelligent robot in college English teaching is constructed. Secondly, the control design of college English teaching machine is optimised. And specific improvement method to the college English teaching mode based on intelligent robots is proposed. Finally, realised the college English teaching mode based on intelligent robot. According to the experimental results, the proposed method is significantly superior to the traditional method in terms of enhancement effect of students' satisfaction and performance, indicating that the proposed method has high application value and certain reference value.
Keywords: Intelligent robot; college English; teaching mode; motion planning model.
Quantitative Analysis of the Influence of Learning Resource Scheduling in MOOC Mode on Traditional Education and Teaching
by Xin Chen, Lede Niu, Rui Xu
Abstract: In view of the traditional method to evaluate the impact of MOOC model on traditional education and teaching, there is a problem of poor adaptive performance and low resource scheduling ability. A teaching ability evaluation combination model based on resource scheduling data envelopment analysis method is constructed. This method uses the traditional teaching mode to fuzzy clustering MOOC subject resources, analyses the correlation function of teaching ability, and uses the association rule mining method to mine the teaching ability characteristics. According to the teaching ability and the linear combination model of traditional education and teaching, the MOOC learning resources are completed. Data scheduling; construct a statistical model of data envelopment analysis to quantitatively assess the impact of MOOC model on teaching ability and traditional education and teaching. The experimental results show that the proposed method has good adaptive performance, high resource scheduling capability and high accuracy.
Keywords: MOOC; teaching ability; education teaching mode; resource scheduling; information fusion.
Robot-based Motion Detection Method and Its Application in P.E. Practice Teaching
by Hong Cao
Abstract: This paper proposes a robot-based motion detection method. It applies robot to the motion detection of colleges and universities, and takes the visual mechanism coordinate system as the world coordinate system to construct the motion equation of the robot camera. It uses the SR-CKF algorithm to predict the pose information of the athlete and the robot, removes the false observed values from the target observation values in the data association stage, and gets the state vector of the athlete in the update stage, and finally completes the target detection and tracking. The test results show that the proposed method has higher accuracy and efficiency. Select the impact indicators of the quality of the college physical education practice teaching system by comparing different impact indicators listed, and the analysis shows that the higher the accuracy of the motion detection results is, the better the quality of the college physical education practice teaching system will be reflected, and therefore it is more helpful to improve the college physical education teaching level.
Keywords: Robot; Motion Detection; Physical Education.
Analysis of the influence of multimedia network hybrid teaching method on college students learning ability in physical education
by Riwei Liang
Abstract: When using the existing methods to analyse college students' physical learning ability, there is no clear pertinence, students' interest is low, and physical learning ability cannot be effectively improved. A multimedia network hybrid teaching method based on multiple linear regression analysis is proposed. The factors that promote the hybrid teaching of multimedia network are analysed, and the multiple regression analysis model of mixed teaching method is obtained. The model is used to analyse the influence of multimedia network hybrid teaching method on college students' learning ability. The simulation results show that the satisfaction of the method is higher than 80%, which is much higher than the existing method; the student learning ability index is between 90 and 100, which is twice the existing method. It proves that the method of this paper has certain practicability and can effectively improve the physical learning ability of college students.
Keywords: multimedia network; hybrid teaching method; college student physical education; learning ability; linear regression analysis.
Research on the Cultivation of Students' Autonomous Learning Ability Based on MOOC-based Network Interactive Teaching
by Zhichao Peng, Yong-feng Wu, Ming-hui Yuan
Abstract: The traditional network interactive teaching system does not consider the real-time interaction of teaching information resources, and there is a problem that students' teaching feedback is not in place. To this end, an interactive teaching system based on MOOC is proposed. The teaching system adopts the B/S mode, and divides the system into a presentation layer, a business layer and a data layer to improve the processing speed. And an interactive communication module is designed, which realises the real-time interaction of the video classroom in the network era, and achieves the purpose of cultivating students' independent learning ability. The experimental results show that the system improves the cognitive ability of students by about 20%, and improves the ability of students to develop learning plans, indicating that the system has a significant impact on the cultivation of students' self-learning ability.
Keywords: MOOC; network; interactive teaching; autonomous learning; ability development; deep learning.
Analyzing Learning Behaviors of Advanced Mathematics in MOOCs
by Jiwei Qin, Zhenghong Jia
Abstract: The purpose of this study is to analyse the relationship between online learning behaviour and learning achievement, and improve academic performance of learners in MOOCs. This paper analyses the learning behaviour of 1,388 undergraduates in the online advanced mathematics course of the online platform named 'Erya' with statistical analysis and clustering methods. The results show that: 1) the lack of positive interaction between teachers and learners can affect learners' enthusiasm for learning and learners' learning outcomes; 2) the academic performance related with the ethnic, the number of access and the completion of the after-school tasks, but the correlation with the discussion is small. In addition, we also made some suggestions based on the results of the learning behaviour analysis to improve academic performance in the massive open online courses.
Keywords: massive open online courses; subtraction clustering; K-means clustering; learning analytics.
Development of a Maths Learning System for High School Students using the Java Desktop Platform
by Santoso Wibowo, Paul Moore, Michael Li
Abstract: This paper presents the development of a maths learning system for high school maths students. The development process involved the creation of the front-end graphical user interface and the back-end database, with both being implemented to near-commercial standard. The front-end consists of two main screens; a separate one each for the teacher and the student. The teachers screen displays and allows the editing of all data in the database through the use of tables. The student is presented with all the maths questions from the database on their screen in a structured form for the practice of math problems of various difficulty levels. Three types of final tests were performed to examine the effectiveness of maths learning system. The results showed that the system is consistent and usable for learning maths at high school.
Keywords: Learning system; Maths; Java platform; High school students.
A versatile and flexible e-assessment framework towards more authentic summative examinations in Higher-Education
by Laurent Moccozet, Omar Benkacem, Elma Berisha, Rita Trigo Trindade, Pierre-Yves Bürgi
Abstract: This article describes an infrastructure that is currently being deployed across a university to enable teachers to conduct online exams for their courses. We also investigate in this study how such a framework can open the way to more authentic assessments. Four related examination experiences using this assessment framework are described. The two first ones correspond to open book examinations on the universitys computers, the third one corresponds to an examination involving the use of software on students computers and the last one corresponds to an open book examination on students computers. The performance of the students from one of the open book examinations on universitys computers experiments is analysed to evaluate the impact of the online format compared to the paper format. The feedbacks of the students of the two bring your own device (BYOD) experiments are collected to assess their feelings regarding this specific technical configuration. The results provide significant and interesting indications for the development of summative e-assessment both for initial and continuing education in higher education. In particular, we discuss the directions to take to extend this environment to continuing education.
Keywords: authentic assessment; BYOD; e-assessment; LMS; open book assessment; virtual machine; VDI.
Critical Thinking and Critical Reading: A Sound Pedagogical Paring
by Xiaoli Bao
Abstract: In China, a close examination of the present English reading teaching will manifest many problems lying behind it. Students are, more often than not, trained to accept the standpoints presented in a text without any analysis, discrimination, judgement or criticism. Seldom do students come up with viewpoints of their own or raise the awareness of critical thinking while reading, which will impair the sound development of their critical thinking ability. The present study is conducted with the purpose of investigating the relationship between the university students' critical thinking ability and their English reading ability, thus putting forward some feasible pedagogical suggestions on the development and enhancement of university students' critical thinking ability as well as English reading ability.
Keywords: critical thinking ability; English reading ability; University students.
Special Issue on: Artificial Intelligence In Education
Big Data Processing with Apache Spark in University Institutions: Spark Streaming and Machine Learning Algorithm
by Emmanuel Boachie, Chunlin Li
Abstract: Data processing is an effective tool for educational sector, which can improve admission selection procedures and decisions. Most research papers focus on computational and theoretical aspect of education though little effort have been put on technological aspect of applying data mining techniques on students admission process. We therefore design a simple spark streaming framework together with machine learning algorithm to guide admission processing. We implement the spark streaming model and the proposed machine learning algorithm in a selected university using its admissions' data. The focus is on the number of students that can be admitted and those that should be rejected to reduce time and cost. The case study we evaluated show the practical usefulness of Spark streaming and machine learning algorithm for data processing in a real-time to reduce time and cost. The experiment results also confirm meaningful graphical interpretation of data using spark streaming and machine learning algorithm for students selection for admissions.
Keywords: Spark Streaming; Big data; Processing; Algorithm.