International Journal of Continuing Engineering Education and Life-Long Learning (42 papers in press)
Continual Improvement Assessments Based on the ABET Accreditation Process: Overcome Challenges Implementing Management System
by Abdel-Rahman Al-Qawasmi, Abdullah Almuhaisen, Iskander Tlili
Abstract: Reducing the unemployment rate, achieving economic growth and bridging the gaps between industries needs and engineering graduate skills, are the three long-term drivers of engineering education performance which are becoming gradually competitive. To overcome the engineering education weakness issue, different approaches are being considered including programs accreditation to have the greatest potential within engineering education. Recently, decision makers and researchers reconsider assessment and improving engineering accreditation process using different management tools. In this study a new management materials based on quality standard of National Commission for Academic Accreditation and Assessment (NCAAA) and Accreditation Board for Engineering and Technology (ABET) was developed and tested. Results have shown a noteworthy improvement on the performance of faculty assessment courses and on the overall quality process. The present work demonstrates that the proposed quality management system (QMS) contributes to a substantial decrease of waste of time made by faculty member to organise and assess their course along the entire semester and an increasing percentage around 60 per cent of faculty member involved in continuous quality improvement through proposed QMS.
Keywords: Quality Management System; Assessment and improvement; SLO (Student learning outcomes),.
Analysis of the Learners Learning Behaviours in MOOC Informationization Leadership
by Mei Liu, Shusheng Shen, Changsheng Chen
Abstract: The informationization leadership MOOC has become an effective training way to enhance the informationization leadership of school administrators. For better adapting the course to different learners needs, this study was to analyse the learners online learning behaviours. Through using data mining technology to mine the Informationization Leadership learning behaviours from five dimensions. We draw the following conclusions: The demographic characteristics of learners show that the learners are mainly composed of principals, middle-level educational managers and key teachers. The learners general learning behaviour characteristics are mainly expressed by the facts that the learners interest in practical cases, and few participants can last more than four weeks, and the learners like videos and texts.According to the learning behaviour,the learners can be divided into three clusters.The value of MOOC should not be evaluated on the base of certification rates but on whether the learners learning needs are met.
Keywords: online learning behavior analysis;MOOC; Informationization Leadership; clustering; data mining.
Research on the influence of instructor image on the learning effect of conceptual learning video
by Wang Xiaojin, Mu Su, Tang Dongmei, Zhou Yanjie, Wen Huiqun, Dong Jing
Abstract: To efficiently convey information and optimize teaching effect, it is necessary to design and develop high-quality online learning materials. To determine the different learning effect of with and without an instructor, this paper selects three types of data: test data, eye movement data and questionnaire and interview data.A few primary results of this study are: (1) instructors have no significant impact on learners conceptual learning grades of declarative knowledge; (2) there is no significant difference in learners performance of viewing area, but there is a difference in their performance of teachers area; (3) through comprehensive questionnaire and interview data analysis, there is no significant difference in learners learning experience of conceptual learning in declarative knowledge video with and without an instructor. This study provides a reference for designing and developing online Video lectures. When designing the video lectures of conceptual learning,it can adopt instructor-free way considering saving time and cost.
Keywords: Video lectures; Declarative knowledge; Conceptual learning; An instructor; Eye movement; Learning effect.
Geometrical Tools to Teaching Azeotropy Using Simplified Thermodynamic Models
by Gustavo Platt, F.S. Lobato, F. D. Moura Neto, G.B. Libotte, D.A. Goulart
Abstract: In this work we propose a geometric view of the azeotropy problem, using some simplified models. We demonstrate that the occurrence of azeotropes in binary mixtures can be viewed - geometrically - as the intersection of curves in the plane (for some models, these curves are parabolas). Furthermore, the idea of functions from the plane to the plane is used to understand the azeotropic phenomenon. These ideas are illustrated with two simple cases, with one and two azeotropes, allowing the analysis of a nonusual thermodynamic behavior -- such as double azeotropy -- with simple mathematical tools, by undergraduate students in Chemical Engineering courses.
Keywords: Azeotropes; Functions from the plane to the plane; Double Azeotropy.
Parametric Identification Components Maritime Systems of Automatic Control Systems with Microcontrollers
by Sergei Chernyi
Abstract: An attempt to implement an algorithm based on a microcontroller control system will either tighten the requirements for the speed of the central processor of this system, or result in a catastrophic decrease in the speed of the system and its inability to operate in real time when trying to obtain the minimum acceptable accuracy of the resource-intensive calculations The purpose of the research was to conduct a degree of parametric identification of the stability of microprocessor or computer control systems As a result of research, it has been established that control microcontrollers created computational delays into the phase-frequency characteristics of closed systems, and the converter on its own was a non-linear link with a constant transmission coefficient in a certain range, it became necessary to evaluate their effect on the stability of closed systems As a result of the analysis, it was found that to ensure sufficient stability of the internal contour of the closed system, it is necessary to increase the allowable margins both in phase and in amplitude.
Keywords: parametric identification; maritime; stability of automatic control systems; learning; microcontrollers.
Adaptive Optimisation Algorithm for Online Teaching Behaviour
by Jin-hua Zhu
Abstract: In order to optimise the weakness of Teaching Learning based Optimisation Algorithm (TLBO), which are characterized by slower convergence in convergence, lower accuracy, and easy to fall into local optimum. To improve the efficiency and shortcomings of the algorithm, it is believed that there are two mechanisms to optimise. The first is based on the mechanism of mutual learning among multiple teachers. The second is based on the mechanism of adaptive step size improvement. First of all, by setting up multiple teachers to teach in the TLBO algorithm, the diverse nature of the population can be preserved. Teachers can also explore and learn from each other and students can improve their learning efficiency. The algorithm is improved in the precision of optimisation, and the algorithm is improved on the weakness of local optimisation.
Keywords: teaching learning-based optimisation algorithm; adaptive step size; global optimisation; multi-teacher.
Evaluation of Learners' Online Learning Behaviour Based on Analytic Hierarchy Process (AHP)
by Xuejiao Huang, Wang Xiaojin, Fengjuan Liu
Abstract: The online learning behaviour has become an important factor in predicting the learning achievement, evaluate online learning behaviour is one of hot topics in the field of IT education. Therefore, the online learning behaviour data from the "Moso Teach" cloud platform was analysed by correlation analysis, cluster analysis and analytic hierarchy process analysis. we found that The problem-solving behaviour of learner is generally low; Social interaction behaviour is better than problem-solving behaviour , at last is resource learning behaviour; The curve of the score distribution diagram of resource learning behaviour shows an inverse "S" shape, while the curve of the score distribution diagram of social interaction behaviour and problem solving behaviour is close to a straight line. There are gender differences in resource learning behaviour, learning achievement differences in resource learning behaviour and problem-solving behaviour, and core-marginal differences in resource learning behaviour and social interaction behaviour.
Keywords: online learning; learning behaviour; learning analysis.
Research on Curriculum Construction and Application in Colleges under Blended Learning
by Hongtao Yu
Abstract: This study collects and analyzes data on the development and application of 281 blended teaching reform courses of a college. The results show that all teachers and students highly recognize blended teaching model and believe the reform of blended teaching has improved students motivation and ability to learn, and students cognition is growing as the reform is advanced. However, the development of these courses has some problems, such as insufficient teaching video resources and monotonous teaching methods, and for these problems this study proposes two recommendations on the development and application of school-based college courses in the context of blended learning, namely strengthening the development of video resources for these blended teaching courses and enhancing teachers capability of blended teaching.
Keywords: colleges; blended learning; course development.
Dynamic Evaluation Method Of Distance Learning Quality Based On Mooc Theory
by Xiao-long Wen, Lin Zeng, Jun-cheng Wang
Abstract: In order to improve the accuracy of distance education quality evaluation, a dynamic evaluation method of distance education quality based on the theory of MOOC is proposed. The fuzzy correlation constraint method is used to evaluate the remote MOOC teaching quality dynamically. The big data in the process of the dynamic evaluation of the remote MOOC teaching quality is mined by association rules to obtain the binary semantic features of the remote MOOC teaching quality. The dynamic feature set of remote MOOC teaching quality evaluation is constructed, and the decision function of remote MOOC teaching quality evaluation is constructed by fuzzy c-means clustering method. Through the similarity fusion method, the dynamic evaluation of the remote MOOC teaching quality is carried out. The simulation results show that the method can evaluate the quality of MOOC teaching dynamically and has high precision.
Keywords: MOOC theory; distance learning; quality; dynamic evaluation; fuzzy correlation constraints.
Research On The Evaluation Method For English Teaching Efficiency Based On Data Mining
by Zhonghui Man
Abstract: In order to overcome the problems of large errors and long time consuming in traditional evaluation methods for English teaching efficiency, a new method based on data mining is proposed. This paper first introduces the application of DEA in the evaluation of English teaching efficiency, combines the decision-making unit of DEA with data mining, and then cleans, supplements and repairs the acquired teaching data to complete the mining of the characteristic data of English teaching efficiency evaluation. At last, the data of English teaching efficiency evaluation of college students and teachers are obtained by questionnaire survey. The experimental results show that the proposed method has a small error and a short evaluation time in the evaluation of English teaching efficiency, which has a certain practical significance.
Keywords: Data mining; English teaching; Efficiency evaluation; Excellence rate; Reliability indicator.
Research On The Teaching Mode Of Improving The Learning Efficiency Of University Students Based On Vr Technology
by Lede Niu, Ying Chen
Abstract: In order to solve the problem of low learning efficiency of students under the traditional teaching mode, this paper proposes a new teaching mode based on VR technology to improve the learning efficiency of university students. This teaching mode is based on VR theory. It constructs VR teaching data background, including teaching organization information and event system, which together constitute the current classroom VR immersion teaching environment. Relying on VRPC interface and high-performance CPU, it builds VR development platform, constructs WTK, Vega, MR and other teaching tools, enriches VR teaching methods. Finally, according to the characteristics and principles of VR teaching, it designs the basis. In VR teaching platform tools and teaching background appropriate teaching mode, to achieve the improvement of university students' learning efficiency. Experimental data show that the education model can improve students' interest in learning from multiple perspectives, thus effectively improving students' learning efficiency.
Keywords: VR Technology; VR Teaching; Teaching Background; Creativity.
Outcome Based Education: A Paramount Model for Higher Educational Institutions in India
by Mallikharjuna Rao Nuka, Sasidhar Choragudi, Chinna Babu Jyothi
Abstract: In the year 2014, India was became a full member of the Washington Accord facilitates for accreditation process in engineering education system with desired policies and procedures. It signifies that our accreditation process in the engineering institutions is in filled conformity with the requirements of the Washington Accord with the Outcome Based Education. This study supports to determine the challenges in present engineering education and discusses the outcome based education implementation in engineering institutions. At the end, this study reviewed the assessment approaches.
Keywords: Engineering Education; National Board of Accreditation; Washington Accord; Outcome Based Education; Graduate Attributes.
Student-Parent Teams: A 10-Year Retrospective Study of an Undergraduate Research Experience
by James Giancaspro, Nam Ju Kim
Abstract: The objective of this study was to investigate the long-term (10-year) impact of a small, yet unique, outreach effort where three teams of undergraduate students were paired with their parental counterparts to conduct civil engineering research supported by the United States' National Science Foundation. Those students are compared to a control group of undergraduates who participated in a traditional research experience and were exposed to the same conditions and research project. A survey instrument was used to collect data related to the participants' actual career path trajectory, self-efficacy, scholarly productivity, and parental influence in their decisions for postgraduate education and career planning. Parental support for students' postgraduate plans either remained unchanged or increased following the research experience. While the participants in the student-parent teams produced more scholarly products than the control group in the decade following the experience, the sample size is too small to draw causal inferences.
Keywords: research experience for undergraduates; REU; engineering education; civil engineering; parent involvement; career trajectory.
Design and Implementation of Blended Synchronous Learning: The Instructors Perspective
by Qiyun Wang
Abstract: Blended synchronous learning (BSL) has the potential to combine the advantages of classroom instruction and online learning. In this study, BSL was designed and implemented from the pedagogical, social, technical, and managerial aspects. This paper presents how BSL was prepared and designed before a lesson, implemented during the lesson, and improved after the lesson from the instructors perspective. The results showed that the instructor needed to adjust certain learning activities before a lesson. He was often cognitively overloaded and having difficulties in monitoring the participation and engagement of the online students during the lesson. The design and implementation of BSL was gradually improved through reflections after the lesson. Implications for teachers who intend to apply this approach are discussed.
Keywords: blended synchronous learning; pedagogical design; social design; technical design; managerial design; video conferencing.
An Effectiveness Model Of Vocational Education Mode Reform Based On Data Mining
by Jiaen Gu
Abstract: The existing education mode reform model is not deep enough in data mining, there are problems of poor accuracy and low credibility. This paper proposes the construction of the effectiveness model of vocational education mode reform based on data mining. Analyze the effective indicators of vocational education mode reform, obtain the indicators of vocational education mode reform; use the simhash algorithm to remove and clean the indicators of vocational education mode reform, and use the data information gain algorithm to select the characteristics of indicators. Construct the topological structure of the effectiveness model, determine the input and output parameters of the model, introduce the data mining method to mine the effectiveness index data, and complete the construction of the effectiveness model of vocational education mode reform. The experimental results show that the validity index of the model is 26.79, and the analysis accuracy of the model can reach 97.2%.
Keywords: Data mining; Vocational education; Mode reform; Effectiveness model.
The application of virtual reality technology in the efficiency optimization of students online interactive learning
by Ninghua Lv, Jingjing Gong
Abstract: In order to overcome the problems of poor interactivity and insufficient authenticity in the current research methods for students learning efficiency, this paper proposes an efficiency optimization method for online interactive learning based on virtual reality technology. The individual extremum in the learning system is tested by variation factor, and the depth zero locus information and feature space of students online learning are obtained. By using virtual reality technology, students performance interval value is divided and corresponding learning content is tracked quickly. Combined with the principle of greedy search, through the normalization processing, the online interactive learning of students is updated, to achieve the optimization of learning efficiency. The experimental results show that this method has strong performance in the aspects of fluency, interaction and virtual reality of virtual learning.
Keywords: Virtual reality technology; learning efficiency; optimization; normalization.
Interactive Sharing Of Fragmented English Learning Resources Based On Internet Of Things
by Na Wang, Xiaohong Zhang
Abstract: In order to overcome the problems of low user satisfaction in current research on English learning resources sharing, this paper proposes interactive sharing of fragmented English learning resources based on Internet of Things technology. This method mainly uses questionnaire survey to investigate students of different grades and majors in normal universities. On the basis of sharing research, this paper introduces the Internet of Things technology, divides the interactive sharing of English learning resources into perception layer, network layer and application layer, and analyzes the key technologies of communication module, resource management module, user management module and dynamic interactive sharing in the process of sharing. The experimental results show that the research results in this paper have good user satisfaction and high resource utilization rate, and are more suitable for interactive sharing of English learning resources.
Keywords: Internet of Things; Fragmentation; English learning resources; Sharing.
Study On The Evaluation Method Of Students' English Classroom Performance Based On Big Data Analysis
by Wenting Ma
Abstract: in order to overcome the problems of low rationality, low significance and low accuracy of the current evaluation methods of students' English classroom performance, this paper proposes a method based on big data analysis. It uses the method of questionnaire to obtain the evaluation indicators of experts and students, uses the method of vector normalization to deal with the original decision matrix, and uses the information entropy to calculate the corresponding weight of the evaluation indicators of students' English classroom performance. It also uses the product operator to aggregate the evaluation matrix, combines the reference point method model, the total multiplication model and the ratio system to obtain the evaluation value of students' English classroom performance, and to achieve the evaluation of students' English classroom performance. The experimental results show that the proposed method is more than 90% reasonable, more than 90% significant, and more than 93% accurate.
Keywords: Big Data Analysis; Evaluation Indicators; Classroom Performance; Evaluation Methods.
A New Evaluation Method For English Mooc Teaching Quality Based On Ahp
by Xin Li
Abstract: In order to overcome the problems of traditional English MOOC teaching quality evaluation methods, such as accuracy and low evaluation efficiency, this paper proposes a new method of English MOOC teaching quality evaluation based on AHP. This method selects evaluation indexes through factor analysis, establishes evaluation index sets, and performs normalization processing. Set up a comment set, use AHP to calculate the index weight, calculate the membership degree according to the weight calculation result, construct the membership degree matrix, and finally conduct a comprehensive evaluation of the English MOOC teaching quality. The experimental results show that compared with traditional evaluation methods, the proposed method has higher accuracy of teaching quality evaluation, the highest evaluation accuracy is 97.8%, and the detection efficiency of the proposed method is higher, the shortest evaluation time is only 0.9min, It shows that the proposed method has higher practical application performance.
Keywords: AHP; MOOC; English teaching quality; Membership matrix.
Introducing a Capstone Course on Social Networks
by Mohammad Fraiwan
Abstract: Cyberspace is increasingly being dominated by social networks. It is estimated that the number of users of such networks and media will reach 3.1 billion by 2021. Now even news outlets are reporting on people tweets, pictures, and online status. Social networks provide a platform for political, social, business, and leisure activities. Computer engineering students need to be well-equipped to deal with such important platforms, which will empower them to generate new business opportunities, develop useful applications, or simply prepare for the job market. In this paper, an undergraduate capstone course in social networks is described that not only exposes students to that plethora of social networks, but also makes it possible to collect and analyse data from these networks and propose useful applications. Students were required to work in teams on a project idea of their own device. The course methodology, assessment, and technical aspects will be presented.
Keywords: Data Mining; Facebook; LinkedIn; Python; Semantic Web; Social Networks; Twitter.
Quasi-experimental study on the classroom flipping degree in the course of Information Technology and Application
by Ke Hong, Lu Jia
Abstract: Abstract: In recent years, the flipped classroom teaching mode is increasingly widely applied. We adopted the flipped classroom teaching mode in the course of Information Technology and Application in Nanchang University and achieved the good teaching effect. In order to deeply explore the relationship between flipped classroom and teaching effect, three groups of flipped classroom experiments were performed under three flipping degrees (25%, 50% and 75%) and the statistical data analysis was performed with the final experimental results. The analysis results indicated that the teaching effect was the best under a flipping degree of 50%.
Keywords: flipped classroom; classroom flipping degree; experimental comparison; data analysis.
Design and application of educational information management system based on SOA
by Liping Han
Abstract: Due to low throughput, long average response time and low operating efficiency of current educational information regulatory system, it is because of SOA framework designed. The hardware part includes system access port module, computer-aided instruction module and security management module. The software part uses the service bus of the SOA framework to complete the collection of educational information, realise the management of educational information through the service interface, calculate the average value of the time series of the teaching resource management data through the moving average method, filter the redundant data, and realise the collection and sharing of educational information To complete the design of service function of educational information. The experimental results show that the designed system has the characteristics of fast response, high efficiency and high throughput.
Keywords: SOA framework; Teaching resources; Management system design; Application research.
The Evaluation Method Of Distance Learning Engagement Based On The Multi-Level Linear Model
by Humin Yang
Abstract: The traditional evaluation process of distance learning engagement cannot solve the problem of hierarchical confusion of the data to be processed, which leads to low recovery rate of distance learning engagement data and large evaluation error. A distance learning engagement evaluation method based on multi-layer linear model is proposed. Establish the level index of distance learning curriculum, compile the questionnaire of students and teachers, and determine the influencing factors of distance teaching involvement. By constructing a multi-layer linear model of distance learning, this paper analyzes the curriculum effectiveness that affects students' engagement ability in distance learning, and evaluates the engagement degree of distance learning.The simulation results verify that the recovery rate of the proposed method is above 97%, and the error rate of the evaluation of distance learning engagement is below 0.002%.
Keywords: Multi-leveled linear model; Distance learning engagement; Evaluation.
Study on the Design of Interactive Distance Multimedia Teaching System based on VR Technology
by Tian Ge, Otto Darcy
Abstract: In order to improve the intelligence and human-computer interaction of interactive distance multimedia teaching, an interactive distance multimedia teaching system based on virtual reality (VR) technology is proposed. Firstly, the overall structure of the interactive distance multimedia teaching system is designed under B/S framework. Secondly, the VR information of the distance multimedia teaching system is reconstructed by means of fuzzy control parameters and fast image region segmentation. Thirdly, information fusion and regional scheduling of VR scene images of interactive distance multimedia teaching are implemented using a deformation model. Finally, the background server construction and interface design of the interactive distance multimedia teaching system are carried out under the B/S framework. The simulation results show that the interactive distance multimedia teaching system designed by this method has a stability of over 99% and a strong response ability of human-computer interaction, which improves the control ability of distance multimedia teaching.
Keywords: VR technology; interactive; distance multimedia teaching; system design.
Research On Evaluation Of Mooc Distance Learning Effect Based On Bp Neural Network
by Jiefeng Wang, Henry Loghej
Abstract: At present, MOOC learning effect evaluation method has the problems of large evaluation error and low evaluation efficiency. Therefore, this paper proposes a MOOC distance learning effect evaluation method based on BP neural network. Select the evaluation index, and the gray correlation analysis method is used to optimize the evaluation index, and the entropy weight method is used to calculate the index weight. The BP neural network model is constructed, which is used as the evaluator of MOOC distance learning effect. The sample data to be identified is input to minimize the accumulated evaluation residual and output the evaluation result of MOOC distance learning effect. After testing, the error rate of the design method is only 0.9259%, the evaluation time is always less than 1.0s, the evaluation error is small and the evaluation efficiency is high.
Keywords: MOOC; Distance learning effect; Gray correlation analysis; BP neural network.
A New Hybrid Teaching Platform for College English Based on Iot
by Fangqiong Liu
Abstract: In order to improve the practice ability of new hybrid teaching of college English, it is necessary to integrate hybrid English teaching resources, so a new hybrid teaching platform for college English based on the Internet of Things is proposed. In this paper, a new hybrid teaching resource information fusion model for college English is constructed, and hybrid teaching resource information about college English is scheduled using the big data statistical analysis method, and network modularization design is carried out for the new hybrid teaching platform for college English under the Internet of things. The simulation results demonstrate that the new hybrid teaching resource scheduling method for college English can provide good information fusion and contribute to high output stability and reliability of the teaching platform.
Keywords: Internet of things technology ; college English; new hybrid teaching; practice; resource fusion; big data.
The advantage resources mining of practical English with internet of things technology
by Chunzi Zhang
Abstract: In order to overcome the problems of low efficiency and accuracy of traditional methods for the advantage resources mining of practical English, this paper proposes a new method for the advantage resource mining of practical English which integrates Internet of things technology. Using the Internet of things technology to guide the focused crawler, the search strategy ACO-FC to collect practical English resources can be gotten, the features of practical English resources are extracted, the weight corresponding to the features of English resources by TF-IDF weight calculation method is calculated, and the practical English resources are classified by the nearest distance discrimination algorithm of class center vector, so as to complete the advantage resources mining of practical English. The experimental results show that compared with the traditional mining methods, the mining efficiency and mining accuracy of the proposed method are higher, and the highest mining accuracy can reach 98%.
Keywords: Internet of things technology; Advantage resources of practical English; Resource classification; Resource mining.
Research on Modeling and analysis of factors influencing students classroom communication ability based on support vector machine
by Jue Wang, Xi Chen, Yang Zhang
Abstract: In order to improve students classroom learning effect, the influencing factors of communication ability were analysed. The traditional method of analysing students classroom ability neglects the ordering of classroom communication ability factors, which results in poor fitting effect and high CPU consumption. This paper proposes an analysis model of influencing factors of students classroom communication ability based on support vector machine. The sample data were converted and cleaned to establish a SVM model for influencing factors and students classroom communication ability. The trained SVM model was used to analyse the degree of influence of each factor on students classroom communication ability, and the factors were ranked in importance, so as to clarify the influencing factors of students classroom communication ability. The simulation results show that the prediction results obtained by the research method are close to the fitting curve of the actual results. The CPU consumption of system operation is 15.88 Hz, which is lower than the traditional method.
Keywords: Support vector machine; Students classroom communication ability; modeling analysis of influencing factors.
Expectations for cooperative instruction supported by the Internet+Employment platform in work placement practice
by Xifeng Liao
Abstract: Close high-quality cooperation between a workplace employer and the college is a prerequisite for effective training of students in vocational education. Therefore, the researcher adopted the internet+employment platform as a typical case to analyse its main supportive functions for work placement instruction. Descriptive data analysis was employed to study the expectations of both vocational students and workplace supervisors for the cooperative teaching supported by the platform. The case study showed that the platform was weak in several areas such as in sharing teaching resources to facilitate employer-college cooperation. The results of the data analysis suggested that most students and workplace supervisors have a thorough understanding of the importance of closer cooperation and cooperative assessment by both the employer and the college. However, the expectations of the students and workplace supervisors were different in seven aspects. Among them, the students did not expect much cooperation that would lead to a closer monitoring of their work positions, and the willingness of the workplace supervisors to cooperate with college advisors in the use of cloud technology was quite limited. Suggestions for future development of the internet+employment platform were proposed. Combining the functions of this platform with those of other cloud platforms might support better employer-college cooperative instruction.
Keywords: student and employers expectation; cooperative instruction; work placement; workplace supervisor; cloud platform technology.
Multi-Interaction English Teaching Platform Based On Internet Of Things
by Xianglang Hou, Zongning Zhang
Abstract: There are some problems in college English teaching, such as poor level, which increase the interactive function of the classroom. An interactive foreign language teaching software is proposed. The platform consists of platform management layer, multiple interactive English teaching module, test paper assignment module and database module. The task of management analysing administrators, and setting instruction program, the multiple interactive English teaching module constructs the multiple interactive English teaching model, the paper exercise allocation module constructs the test paper quantitative model, and the database module specifies the information storage rules. The experimental results show that: the u-value of oral English and listening of the experimental group is less than 0.05, and the P-value of reading score is 0.059.
Keywords: internet of things technology; multi-interaction; teaching platform; platform management module; multi-interaction English teaching module; test paper quantitative model.
Analysis And Research On The Integrated English Teaching Effectiveness Of Internet Of Things Based On Stochastic Forest Algorithm
by Xiaoying Hu
Abstract: In order to overcome the problem of low accuracy in the analysis of teaching effect, this paper proposes a new method for English teaching effect analysis. The decision tree model is constructed through data training, and the stochastic forest algorithm framework is built on this basis. Based on the binary data classification project, relying on data parallel units provided by the internet of things, and relying on integrated data, the sample division of current education data is completed and an open source platform to complete the internet of things docking is designed. The random algorithm is combined with the data indicators of the internet of things to obtain data clusters. According to the classification points of stochastic forest algorithm, datasets are merged to complete sub-aggregation, and the effect evaluation is achieved. The experimental results show that the aggregation rate of the evaluation data of the stochastic forest algorithm is 50% less than or equal to 80%, which is effective.
Keywords: stochastic forest; internet of things; teaching effect; framework of the algorithm.
Research On The Teaching Mode Of University Virtual Laboratory Based On Component Technology
by Shuling He, Dejiang Kong, Jingjun Yang, Lingfa Ma, Yuwei Chang
Abstract: In order to overcome the problems of low flexibility, low efficiency and non-reusability of laboratory teaching mode, a research method of university virtual laboratory teaching mode based on component technology is proposed. This method is composed of platform architecture module, platform operation module, routine project detection module and platform component module. Through the platform operation module scheduling module components to complete the experimental process; the components needed in the experimental process are detected, so that students can get more accurate experimental process and experimental results. By extracting the internal information of bean component, controlling and managing the dynamic results of the component after execution; using the component technology in swing graphics toolkit to realise the experiment process and result visualisation. The experimental results show that it can improve the utilisation rate of students' spare time, and the experimental practice ability can be improved by more than 15 points.
Keywords: Component Technology; Virtual Laboratory; Teaching Mode; Software Development; Visualization.
Research on Knowledge Tree Growth Model for Intelligent English Teaching System based on Hypertext Structure
by Shixin Sun, Haiyan Li
Abstract: At present, the knowledge management model of intelligent English teaching system has some problems, such as weak relevance of knowledge points and poor judgment accuracy of precursor knowledge points. This paper proposes a new knowledge tree growth model for intelligent English teaching system based on hypertext structure. Using hypertext structure resources for English teaching content model to build, packaging, the content of the metadata and completed the organisation of English teaching resources, through the tree of knowledge map, knowledge circulation knowledge teaching, the precursor of judgment, determine the level of knowledge mastery, and knowledge extraction process, realise the building of knowledge tree growth model. The experimental results show that the proposed knowledge tree growth model greatly improves the relevance of knowledge points and the accuracy of judgment of precursor knowledge points, improves the knowledge base of intelligent English, and improves the efficiency and quality of English teaching.
Keywords: hypertext structure; intelligence; English; teaching; knowledge tree; model.
Research on English teaching information pushing method based on intelligent adaptive learning platform
by Mingqi Wang, Yuanyuan Wang
Abstract: In order to overcome the existing problems of long time, low matching degree of information and user interest, and high average absolute error of English teaching information. This paper proposes a new method of English teaching information push based on intelligent adaptive learning platform. The classification of English teaching information shortens the time of English teaching information push. GN algorithm is used to partition user community network. The information label model, user label model and Bayesian classifier are combined to complete the push of English teaching information. Experimental results show that this method can provide users with about two seconds of English teaching information, saving more than half of the time. The usefulness of push in English information is up to 98%, and the error rate of push in English information is less than 0.2%.
Keywords: adaptive learning platform; English teaching; information push; user interest.
Research on classification method of answering questions in network classroom based on natural language processing technology
by Lanlan Liu, Qiang Yu
Abstract: In order to overcome the inaccuracy of the current research results of online classroom question-answering classification, a method of online classroom question-answering classification based on natural language processing technology is proposed. The entity relationship model of the network classroom question answering system is constructed, and the model is transformed into the relational data model, the network classroom question answering database is constructed. TF-IDF technology is used to extract curriculum keywords, construct attribute word set, use natural language processing technology to segment students' questions reasonably in the network classroom, convert the words into vectors, calculate the question similarity according to cosine theorem, and then return the answers with the highest degree of similarity to students in the same type of questions. Experimental results show that the classification accuracy of the proposed method is always above 96%, and the user satisfaction is above 94%, with high classification accuracy and user satisfaction.
Keywords: natural language processing; online classroom; question answering classification; rules; support vector machine.
A model of foreign language listening ability assessment assisted by mobile devices based on neural network
by Jing Qiu
Abstract: In order to overcome the inaccuracy of foreign language listening assessment and the limitations of the assessment process, a model of foreign language listening ability assessment assisted by mobile devices based on neural network is proposed. Aiming at the characteristics of mobile devices, this paper applies artificial intelligence technology to foreign language listening ability assessment, and mining relevant data. BP network learning ability, nonlinear processing ability and fault tolerance ability are set as the assessment indicators of foreign language listening ability. A model of foreign language listening ability assessment assisted by mobile devices based on neural network is established, and the intelligent assessment of foreign language listening ability is realised through the model. The simulation results show that the proposed method can quickly and accurately evaluate the user's foreign language listening ability.
Keywords: neural network; mobile device assistance; foreign language listening ability; intelligent assessment; fault tolerance ability.
Modelling and analysis of the impact of smart mobile devices on learning effect based on partial least square regression
by Meng Qu
Abstract: Aiming at the problems of long running time, high learning cost and low accuracy of the current learning effect model of intelligent mobile devices, a learning effect model of intelligent mobile devices based on partial least squares regression is designed. Use E-R diagram to analyse the relationship between courses and other resources, and build a learning database. Partial least-squares regression method is adopted to establish the influence model of intelligent mobile devices on learning effect, and partial regression coefficients are used to modify the partial least-squares regression model, so as to realise the modelling and analysis of the influence of intelligent mobile devices on learning effect. The experimental results show that the running time of this method is less than 30s, the average learning cost is only 6.25, and the fitting degree is higher than 80%, which proves that the comprehensive performance of the model in this paper is better.
Keywords: partial least square regression; smart mobile device; learning effect; impact modelling; E-R diagram.
Research on centralised matching method of teaching knowledge categories based on intelligent language recognition
by Lei Liu
Abstract: In order to improve the accuracy and efficiency of teaching knowledge classification matching, a method of teaching knowledge classification matching based on intelligent language recognition is proposed. The deep learning network was constructed, the language files were pre-processed, and the extracted language feature vectors were used to train the network and optimise the deep learning network. The intelligent language recognition network model is established and the k-means clustering algorithm is used to acquire the model. Classification of teaching knowledge is processed centrally and the classification system of teaching knowledge is obtained. Matching problem of teaching knowledge classification system is modelled, and the corresponding undirected graph is constructed, which is converted into the matching problem with the greatest weight, and the optimal matching scheme under the category of teaching knowledge concentration is obtained. Experimental results show that the matching results based on intelligent language recognition are more accurate and more efficient.
Keywords: intelligent language recognition; ILR; knowledge category; category set; category matching.
An evaluation model of English teaching effectiveness based on online education
by Han Yu, Xinguo Li
Abstract: In order to overcome the problems of long construction time, poor critical reasonableness of indexes and low accuracy of the model in the construction of the current evaluation model of English teaching effectiveness, this paper proposes an evaluation model of English teaching effectiveness based on online education, which designs an online education platform and obtains relevant information of English teaching effectiveness evaluation through online education platform. Principal component analysis (PCA) is used to reduce the dimension of the relevant information and extract the principal components in the information. The evaluation index system of students, peer teachers and supervising experts is constructed. The evaluation model of English teaching effectiveness is constructed through three parts: attribute recognition, multi-index attribute comprehensive measurement analysis and single-index attribute measurement analysis. The experimental results show that the proposed method has high efficiency, good index rationality and high model accuracy.
Keywords: online education; English teaching; index system; evaluation model.
Multi-channel interactive interface model for mobile learning terminal by considering user's requirements
by Ruijun Zhang
Abstract: In view of the problems of large response delay and poor security in current research methods of mobile learning terminal interactive interface, a multi-channel interactive interface model of mobile learning terminal considering user needs is proposed. According to the C/S model, the interactive interface model is hierarchically divided, which can effectively improve the information processing efficiency of the mobile learning terminal multi-channel interactive interface model. On this basis, the key modules of the model, such as resources, sharing, learning and examination, are designed to consider user needs, so as to realise the function that interviewees can answer questions in a more timely manner and feedback questions to questioners. The experimental results show that the success rate of illegal users is less than 0.05%, the retrieval delay of learning resources is between 50 ms-100 ms, and the retrieval delay of papers is between 120 ms-150 ms.
Keywords: user requirements; learning terminal; interactive interface.
Research on the impact of mobile terminal on fragmented learning efficiency based on DEA
by Qi Zhu
Abstract: At present, the research results of the impact of mobile fragmentation learning efficiency have the problem of low evaluation efficiency. Based on the analysis of the structure of the mobile terminal learning system, the evaluation index system of the impact of mobile terminal on the fragmentation learning efficiency is constructed. By collecting questionnaires and sorting out relevant data, the distribution of evaluation indexes was obtained and the final evaluation index system was determined. DEA was used to evaluate the impact of mobile terminals on fragmentation learning efficiency. Experimental results show that this method has the lowest chi-square degree of freedom/DF than CMIN, the fitting index is relatively stable, the fitting degree is relatively high, the approximate root mean square error value is relatively small, the maximum value is only 0.009, the performance is significantly improved, showing a good feasibility.
Keywords: knowledge integration system; mobile terminal; fragmented learning; learning efficiency; DEA.
Research on timeliness evaluation model of online teaching based on intelligent learning
by Wenwen Lv, Xiuzhen Ding, Zarina Abdul Salam
Abstract: To improve the effect of online teaching, evaluate the timeliness of online teaching, and provide a more effective analysis method for the current teaching system, we proposed an online teaching timeliness evaluation model based on intelligent learning. Empirical analysis is carried out on statistical data, and a timeliness evaluation model for online teaching based on intelligent learning is proposed. In this model, a statistical information analysis model of online teaching timeliness evaluation is constructed. Then, mining method of association rules is used for segmentation fusion and autocorrelation matching detection of teaching timeliness. Finally, using analysis method for statistical characteristic to conduct statistical analysis and robustness test to the timeliness of online teaching. The simulation results show that this method has a high level of confidence in the timeliness evaluation of online teaching, which improves the quantitative analysis ability of online teaching timeliness.
Keywords: intelligent learning; online teaching; timeliness evaluation.