International Journal of Continuing Engineering Education and Life-Long Learning (32 papers in press)
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.
Modeling 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 modeling; E-R diagram.
Research on Centralized 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 preprocessed, 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; Knowledge Category; Category Set; Category Matching.
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.
Data Acquisition Model for Online Learning Activity in Distance English Teaching based on xAPI
by Mingqi Wang, Yuanyuan Wang
Abstract: In order to overcome the problems of low accuracy and low recall rate of online learning activity data acquisition, an online learning activity data acquisition model of distance English teaching platform based on xAPI is proposed. According to the visual attribute data of elements, this model divides and judges the online learning activity web page and preliminarily determines the location of noise data. According to the context content rules, the segmentation results of online learning activity web pages are processed in detail, the subblocks are evaluated comprehensively, and the noise data are locked and filtered. The data acquisition model is built by using the modules of user login verification, user mouse track replication, and English online learning activity data acquisition report display. Experimental results show that the model has high recall and precision.
Keywords: Distance English teaching; Online learning; Data acquisition; Noise data; User information.
Design of Key Data Integration System for Interactive English Teaching based on the Internet of Things
by Zhihong Yang, Baiyang Feng
Abstract: In the traditional key data integration system for interactive English education based on the Internet of Things (IOT), there are many problems, such as long integration time and low accuracy. To this end, a new key data integration system for interactive English teaching based on Internet of Things is designed. According to the construction of the design framework of key data integration for interactive teaching based on the Internet of Things, the integration of teaching objectives, teaching content, teaching process and teaching evaluation are realized. The configuration and system integration operation are carried out according to the actual requirements of key data integration for teaching. The test results show that the system has a short time and high accuracy to integrate the key data of interactive English teaching based on the Internet of Things.
Keywords: Internet of Things; Interactive English teaching; Key data; Integrated system.
Construction Of Case-Based Oral English Mobile Teaching Platform Based On Mobile Virtual Technology
by Huaxi Chen, Ji Li
Abstract: In order to overcome the problems of long response time and low user satisfaction of current spoken English teaching platform, this paper proposes a case-based mobile spoken English teaching platform based on mobile virtual technology. The platform framework is selected as B/S data framework. In order to match the framework structure, all the subordinate design patterns choose MVC mode. According to user roles, the platform framed the core design content into three parts: student user module, teacher user module and administrator user module. The experimental results show that, compared with the traditional platform, the designed mobile teaching platform has the advantages of short response, high user satisfaction rate and application advantages.
Keywords: Mobile Virtual; Case-Based; Spoken English; Mobile Teaching Platform; Background Data.
Research on remote control method of assisted instruction based on machine learning
by Hualin Sun
Abstract: Aiming at the problems of poor stability and low efficiency in the traditional remote control system of assisted instruction, a remote control system for assisted instruction based on machine learning is proposed. The hardware part of the system is composed of authentication module, student learning module, teaching management module, forum management module and system management module. The basic functions of the remote control system for assisted instruction, such as course learning, self-test evaluation, homework submission and online question answering, are determined and analyzed in detail to improve teaching efficiency. Machine learning is introduced into the teaching control process. The remote learning signal of LSML-SVM is controlled. The machine learning function is defined and the linear equations of machine learning are solved. Finally, the software flow chart is given. The test results show that the proposed design method has good stability and high efficiency.
Keywords: Machine learning; Assisted instruction; Remote control; System design.
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.
Evaluation of Teaching Effect of Internet of Things Education Platform based on Long-term and Short-term Memory Network
by Yanhong Chen
Abstract: In order to overcome the problems of poor effectiveness and high energy consumption of traditional Internet of Things (IoT) education platform, this paper proposes a new teaching effect evaluation method of IoT education platform based on long-term and short-term memory network. The teaching effect of IoT education platform is evaluated by studying long-term and short-term memory network (LSTM) model. The research is divided into two parts: the first part introduces and analyzes the current education platform of the IoT, including the development, structure and functional modules of the education platform of the IoT; the second part constructs the LSTM model to realize the teaching effect evaluation of the IoT education platform. The experiment results show that the proposed method is consistent with the evaluation objectives and proves its effectiveness.
Keywords: Long-term and short-term memory network; IoT education platform; Teaching effect evaluation; Evaluation objectives.
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.
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.
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.
Research on evaluation model of oral English teaching quality based on cloud computing
by Haiyan Li, Shixin Sun
Abstract: Aiming at the problem of low evaluation accuracy of the existing evaluation model of oral English teaching quality, this paper proposes an evaluation model of oral English teaching quality based on cloud computing. The evaluation indicator is divided into expert's evaluation indicator, student's evaluation indicator and teacher's self-evaluation indicator and a comprehensive evaluation indicator set is obtained. The cloud weight in cloud computing model is described by three digital eigenvalues: weight value, entropy value and hyper-entropy value, and the corresponding evaluation cloud model is set up. Based on the cloud computing principle, the cloud evaluation model of oral English teaching quality is constructed. The experimental results show that the model can effectively evaluate the quality of oral English teaching. The selected evaluation indicators are highly representative and the evaluation results are accurate.
Keywords: cloud computing; oral English; teaching quality; evaluation.
Design of virtual education experiment platform based on artificial intelligence
by Minglei Song, Binghua Wu, Lihua Liu
Abstract: In order to solve the problem that the digital image processing of traditional virtual education experiment platform is time-consuming and the evaluation result of the platform does not match the actual result, the design method of virtual education experiment platform based on artificial intelligence is proposed. This paper introduces the general framework of virtual education experiment platform based on artificial intelligence, including remote registration, intelligent push of learning courses, establishment of teaching centre website by using artificial intelligence technology, etc. Based on the framework and heap code, the virtual education experiment platform is built by server and client calling service objects. The experimental results show that the accuracy of the proposed method is between 80% and 95%, the time-consuming is less than 0.02 μs, and the fitting range is between 80% and 100%. Compared with the methods based on 3D MAX, the proposed method has obvious advantages.
Keywords: artificial intelligence; virtual education; remote registration; digital image.
Integration model of English teaching resources based on artificial intelligence
by Yonggang Zhang, Danny Wang
Abstract: Aiming at the problems of low accuracy and high redundancy in the integration of teaching resources, an artificial intelligence-based model of English teaching resources integration is proposed. Web crawler recognition technology is used to obtain web page information of English teaching resources and to establish index database. L-NCD is introduced to eliminate redundant data of English teaching resources. ISPO algorithm and K-means algorithm are combined to complete the integration of English teaching resources and output results. The experimental results show that the resource integration accuracy of the model is higher than 90%, which proves that the resource integration accuracy of the model is higher. The resource repetition rate of this model is less than 1%, which proves that this model has a good effect of de-redundancy.
Keywords: resource integration; web crawler; K-means algorithm; English teaching.
Research on teaching quality evaluation method of network course based on intelligent learning
by Hailong Tang
Abstract: In view of the problems of poor evaluation effect and high evaluation delay in the existing evaluation methods for network course teaching quality, this paper designs an evaluation method based on intelligent learning. The design idea is as follows: with the help of public services, different forms of teaching tasks are summarised and data reduction is processed. On this basis, the restricted Boltzmann machine method based on intelligent learning is adopted to design the evaluation algorithm, and the teaching quality is evaluated with weighting parameters and preference parameters. Through the application part, different application functions such as information query, scene construction, data management and view viewing during the network course teaching are realised. The experimental results show that this method has high evaluation efficiency, short evaluation delay, and significantly reduced actual use of class time, which guarantees the teaching quality of teachers and the overall learning effect of students, and has high application advantages.
Keywords: intelligent learning; network course; teaching quality; evaluation.
Design of step-by-step teaching system for English writing based on cloud network technology
by Mian Wang
Abstract: Aiming at the problems of low user satisfaction, low user interaction accuracy and high user help-seeking rate in the step-by-step teaching system of English writing designed by the present method, a step-by-step teaching system of English writing based on cloud network technology is proposed. In the functional module design part of the system, the foreground and background display modules of the system are designed. The front-end display module includes online question answering, video learning, data learning, etc. The back-end display module includes learning and data management, the design of step-by-step teaching website for English writing, online learning system and teaching mode. Through the design of functional modules and step-by-step teaching website of English writing, the design of step-by-step teaching system of English writing is finally completed. The experimental results show that the system designed by this method has higher user satisfaction, higher user interaction accuracy and lower user help-seeking rate.
Keywords: cloud network technology; English writing; step-by-step teaching; system design.
The evaluation method of English teaching efficiency based on language recognition technology
by Bing Hu
Abstract: At present, there are some problems in the evaluation methods of English teaching efficiency, such as poor significance of indicators, low evaluation efficiency and low evaluation accuracy. This paper proposes an evaluation method of English teaching efficiency based on language recognition technology. Language recognition technology is used to identify English sentences through error detection, eigenvalue extraction, pronunciation evaluation, phoneme association and phoneme recognition. The overall structure of English teaching efficiency evaluation is constructed by B/S structure, and the weight of evaluation indicator is calculated by AHP combined with hierarchical relevance theory. The degree of relevance is obtained, and the evaluation of English teaching efficiency is completed by ranking the degree of relevance. The experimental results show that the proposed method has high significance, high evaluation efficiency and high evaluation accuracy.
Keywords: language recognition technology; English teaching efficiency; evaluation indicators; evaluation methods.
Design of interactive English reading teaching system based on hybrid communication network
by Yang Le
Abstract: In order to overcome the problem of long response time and poor interaction in traditional English reading teaching system, an interactive English reading teaching system based on hybrid communication network is proposed. The hardware part of the system is composed of seven modules, among which the course management module mainly adopts the combination of file system and multimedia attribute database to manage the uploaded data of teachers. Students use the hyperlink location field to mark the connection location of the media, can see more colourful learning pages, to achieve the interactive design of the teaching system. In the software part, the learning evaluation model is constructed by covering method or error method to realise the comprehensive evaluation of students' learning state. Simulation results show that this method can comprehensively understand and evaluate students' learning status and knowledge points, shorten the response time of the system, and has great advantages.
Keywords: hybrid communication network; interactive; English reading; teaching system.
Research on evaluation method of students' classroom performance based on artificial intelligence
by Yang Liu, Huaxi Chen, Anjahol Thoff
Abstract: In order to solve the problem of time-consuming and low reliability of the traditional evaluation method for students' classroom performance, an artificial intelligence-based evaluation method for students' classroom performance is proposed. This paper establishes the evaluation standard of students' classroom performance and quantifies the evaluation of students' classroom performance. Classroom monitoring device is driven by program code. The initial acquired image is processed by image enhancement and recognition, and the result is transmitted to the upper computer. This paper analyses the evaluation indexes of students' classroom performance, such as attendance, participation, attention and abnormal behaviour, and finally outputs the results of teachers' classroom performance. The experimental results show that compared with the traditional evaluation method, the artificial intelligence-based evaluation method saves 69 seconds on average and improves its reliability by 6.25%.
Keywords: artificial intelligence; classroom performance; evaluation method; students' performance; monitoring image.
Research on integration method of AI teaching resources based on learning behaviour data analysis
by Xiaohua Yang
Abstract: Aiming at the problem of long running time and low precision of traditional artificial intelligence resource integration method, a new artificial intelligence teaching resource integration method based on learning behaviour data analysis is proposed. Analyse online learning behaviour data, extract relevant data of artificial intelligence teaching resources, and realise sample collection of artificial intelligence teaching resources. Random forest algorithm was used to classify them, reward and punishment factors were added, and mountain-climbing method was used to search the solution space, so as to realise the integration of artificial intelligence teaching resources. The experimental results show that this method can improve the efficiency and precision of the whole method, and obtain better integral results.
Keywords: learning behaviour data analysis; artificial intelligence; teaching resources; integration method; random forest algorithms; mountain climbing method.