Forthcoming articles

International Journal of Continuing Engineering Education and Life-Long Learning

International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL)

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International Journal of Continuing Engineering Education and Life-Long Learning (32 papers in press)

Regular Issues

  • An exploratory study of discrimination toward contract faculty teaching in engineering colleges of the border area of Gurdaspur, India   Order a copy of this article
    by Vishal Mahajan, Darshan Kumar 
    Abstract: The tradition and practice of hiring contract labour have been common in many parts of India for the long time back. Although believed to be a monetary necessity, but it has been condemned on the ground that it creates employee exploitation. Though system cannot be abolished exploitation absolutely. In spite, the many harm linked to it, but the structure offers much essential employment to a considerable number of employees. This paper aimed to explore the feelings of contractual faculty towards administrative discrimination in engineering institutions in the border area of Gurdaspur district. In this article helps in finding the relationship between parameters like stress level of work, welfare services, pay satisfaction, provident fund facility, gratuity facility, professional with the satisfaction level of the contract faculty. The diagnosis of this study is that the technical institutions and private university in border area Gurdaspur need to understand the importance of feelings of contract faculty.
    Keywords: Contractual Government Engineering Faculty; Private Faculty Job Satisfaction; Administrative discrimination; Gurdaspur District.
    DOI: 10.1504/IJCEELL.2020.10022186
     
  • Satisfaction ranking of employers towards graduates from higher education institutions: An application of hybrid multiple criteria decision-making approach   Order a copy of this article
    by Mongkol Kittiyankajon 
    Abstract: Proper curriculum development is very important to higher education institutions (HEIs), and input from graduate users should be clearly identified. Thus, this study proposed hybrid multiple criteria decision-making (MCDM) to identify and rank employer satisfaction towards graduates from HEIs based on different weights of each graduate quality aspect. A case study of employer satisfaction ranking towards graduates from Industrial Management Department of Udonthani Rajabhat University (UDRU), Thailand was used to validate the effectiveness of the proposed method against the existing method. The results showed that the proposed method gave more reasonable ranking than the existing methods. Consequently, we recommend curriculum development utilise satisfaction levels and ranking results.
    Keywords: Graduate employer satisfaction; MCDM; AHP; TOPSIS; Satisfaction ranking.
    DOI: 10.1504/IJCEELL.2020.10022187
     
  • Automatic Generation of Questions from DBpedia   Order a copy of this article
    by Oscar Rodríguez Rocha, Catehrine FARON-ZUCKER, Alain Giboin, Aurélie Lagarrigue 
    Abstract: The production of educational quizzes is a time-consuming task that can be automated by taking advantage of existing knowledge bases available on the web of linked open data (LOD) such as DBpedia. For these quizzes to be useful to learners, their questions must be generated in compliance with the knowledge and skills necessary to master for each subject and school year according to the official educational standards. We present an approach that exploits structured knowledge bases that contain the knowledge and skills, from which it selects a set of DBpedia resources relevant to a specific school subject and year. This set of resources is enriched with additional related resources, through the NEFCE heuristic. Finally, question generation strategies are applied to the graph generated with this set of resulting resources. Likewise, we provide an evaluation of two knowledge bases and of the proposed NEFCE heuristics.
    Keywords: eEducation; Semantic Web; Linked Data.
    DOI: 10.1504/IJCEELL.2020.10024221
     
  • Multi-agent approach for collaborative authoring and indexing of pedagogical materials   Order a copy of this article
    by Samir Bourekkache, ABIK Mounia, Okba Kazar 
    Abstract: In e-learning environment, the learner may feel that he is isolated and disoriented because of the absence of the teacher and the huge number of materials. Moreover, the pedagogical documents have several characteristics so that we must offer the appropriate documents for each learner according to his level, characteristics, and preferences, etc. Consequently, the adaption of the learning content is an important technique. Creating materials, without additional information, makes the delivering of relevant material an impossible task. Consequently, one has to pay attention to the stage of creating of learning content using new technics. In addition, it may not be convenient if we havent additional information about the learner and the learning material (learning objective, prerequisites, and learner background, etc.). Therefore, we develop a multi-agent system that supports a set of authors who create and index educational materials. The indexes are used to manipulate the learning content efficiently by the machine when choosing the appropriate content to satisfy the needs of heterogeneous learners.
    Keywords: E-learning; Shared editor; Metadata; Educational Content; indexing of documents; Computer Supported Collaborative Work; XML; adaptive hypermedia.
    DOI: 10.1504/IJCEELL.2020.10024222
     
  • Research on Evaluation Model of Oral English Teaching Quality based on Cloud Computing   Order a copy of this article
    by Shixin Sun, Haiyan Li 
    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.
    DOI: 10.1504/IJCEELL.2021.10025593
     
  • Design Of Virtual Education Experiment Platform Based On Artificial Intelligence   Order a copy of this article
    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 ?s, 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;.
    DOI: 10.1504/IJCEELL.2021.10025602
     
  • The Evaluation Method of English Teaching Efficiency based on Language Recognition Technology   Order a copy of this article
    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;.
    DOI: 10.1504/IJCEELL.2021.10026402
     
  • Design of Step-by-step teaching System for English Writing based on Cloud Network Technology   Order a copy of this article
    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 for English writing designed by the current methods, a step-by-step teaching system for English writing based on cloud network technology is proposed. On the functional module design part of the system, the foreground and background display modules of the system are designed. On the design part of the step-by-step teaching website for English writing, the online learning system and the teaching management system are separated. The experimental results show that the system designed by the proposed method has higher user satisfaction, higher user interaction accuracy, and lower user help-seeking rate. The design of the system meets the needs of users and verifies the good performance of the system.
    Keywords: Cloud network technology; English writing; Step-by-step teaching; System design.
    DOI: 10.1504/IJCEELL.2021.10026403
     
  • Conceptual Clustering of University Graduate Students’ Trajectories Using Formal Concept Analysis: a Case Study in Lebanon   Order a copy of this article
    by Charbel Obeid, Christine Lahoud, Hicham El Khoury, Pierre-Antoine Champin 
    Abstract: Due to the weak academic advising systems in most schools, students need assistance to explore universities/colleges and study fields that match their interests and future careers. Unfortunately, the orientation programs in most schools are not well designed to cater to students' varied needs. While career orientation programs are much needed at schools, a large number of Lebanese schools have not integrated such programs in their educational systems yet. Thus, this research focuses on developing a hybrid recommender system based on machine learning techniques. Our research focuses on the implementation of the formal concept analysis (FCA) to study university graduates' trajectories. This data mining technique is applied in knowledge presentation and data processing. FCA enables the discovery of hidden knowledge by using association rule mining and machine learning. The objective of this study is to discover the university graduates' trajectories and demonstrate the effectiveness of the FCA technique in data clustering.
    Keywords: Formal Concept Analysis (FCA); Concept Lattice; Students’ Trajectories; Recommender System.
    DOI: 10.1504/IJCEELL.2020.10027147
     
  • A Model of Foreign Language Listening Ability Assessment Assisted by Mobile Devices based on Neural Network   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2022.10027335
     
  • Modeling And Analysis Of The Impact Of Smart Mobile Devices On Learning Effect Based On Partial Least Square Regression   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2022.10027336
     
  • Research on Centralized Matching Method of Teaching Knowledge Categories Based on Intelligent Language Recognition   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2022.10027338
     
  • Design of Interactive English Reading Teaching System Based on Hybrid Communication Network   Order a copy of this article
    by Le Yang 
    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.
    DOI: 10.1504/IJCEELL.2021.10027340
     
  • Research on Classification Method of Answering Questions in Network Classroom Based on Natural Language Processing Technology   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2022.10027342
     
  • Data Acquisition Model for Online Learning Activity in Distance English Teaching based on xAPI   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10027343
     
  • Design of Key Data Integration System for Interactive English Teaching based on the Internet of Things   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10027600
     
  • Research on the Evaluation Method of Students' Classroom Performance Based on Artificial Intelligence   Order a copy of this article
    by Huaxi Chen, Yang Liu, Anjahol Thoff 
    Abstract: In order to overcome the problem that the traditional evaluation method of students’ classroom performance has long time and low reliability, the evaluation method of student's classroom performance based on artificial intelligence is proposed. This method builds the assessment criteria for students’ classroom performance and quantifies the assessment of classroom performance. Assessment indicators such as attendance, participation, attention, and abnormal behavior in the student’s classroom performance are analyzed, and the final output is used as the results of the staff’ classroom performance. The experimental results show that compared with the traditional evaluation method, the evaluation method of students’ classroom performance based on artificial intelligence saves an average of 69 seconds in time and the 6.25% increase in reliability.
    Keywords: artificial intelligence?classroom performance?evaluation method?students’ performance?monitoring image.
    DOI: 10.1504/IJCEELL.2021.10028896
     
  • Construction Of Case-Based Oral English Mobile Teaching Platform Based On Mobile Virtual Technology   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10027601
     
  • Research on remote control method of assisted instruction based on machine learning   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10027602
     
  • Continual Improvement Assessments Based on the ABET Accreditation Process: Overcome Challenges Implementing Management System   Order a copy of this article
    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),.
    DOI: 10.1504/IJCEELL.2021.10028376
     
  • Summer Undergraduate Research Program to Recycle Composite Material   Order a copy of this article
    by Waleed Ahmed, Essam Zaneldin, Hamad Al Jassmi 
    Abstract: Composite material waste is considered as one of the environmental challenges that attracted massive attention by researchers trying to find environmentally friendly and affordable solutions to overcome this problem. UAEU has established undergraduate research programs that are sponsored by different funds. The main objective is to inspire the students to improve their technical and research skills by contributing to this program under the supervision of faculty members. We present in this paper the achievements of the college of engineering students that have been working on different projects to handle CFRP by various methods, which is produced by local composite industries to explore the waste potential to produce useful products through understanding the properties of the recycled material. After all, trying to come up with innovative solutions to resolve the undesirable and the harmful influence of the recycled waste on the environment and to act per the domestic waste management legislation.
    Keywords: Undergraduate; research; recycling; composite material.
    DOI: 10.1504/IJCEELL.2020.10028500
     
  • Analysis of the Learners’ Learning Behaviours in MOOC Informationization Leadership   Order a copy of this article
    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 learner’s 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 learner’s learning needs are met.
    Keywords: online learning behavior analysis;MOOC; Informationization Leadership; clustering; data mining.
    DOI: 10.1504/IJCEELL.2022.10028552
     
  • Study on Interactive Teaching Laboratory Based on Virtual Reality   Order a copy of this article
    by Yucai Zhou, Jian Zhang 
    Abstract: During teaching simulation in traditional application NCSLab 3D virtual remote laboratory, there is no interactivity and timely feedback of student behaviors and real-time interactive teaching cannot be achieved. In order to solve this problem, an interactive teaching laboratory simulation based on virtual reality technology is designed in this paper. In this method, interactive programming is performed to virtual laboratory based on analysis of interactive teaching principle of the laboratory, and user's roaming behaviors are monitored in real time and fed back to realize interactive teaching and complete interactive teaching laboratory simulation based on virtual reality technology. The experimental results show that the simulated laboratory has good performance, and can provide operation stability up to 99.7% with only running memory of 24.6 MB, indicating that the laboratory simulated in this paper can significantly improve teaching results.
    Keywords: Virtual reality technology; interactive; roaming; laboratory; virtual scene; simulation.
    DOI: 10.1504/IJCEELL.2020.10028898
     
  • Evaluation of Teaching Effect of Internet of Things Education Platform based on Long-term and Short-term Memory Network   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10028912
     
  • Chatbot in Online Classes Using Organizing Exercise Items   Order a copy of this article
    by Amalia Rakhmania, Moechammad Sarosa, Mokhamad Hadi Wijaya, Herman Tolle 
    Abstract: Chatbot can be utilised as an interactive learning media for students. It can be implemented using modular system by dividing the courses based on the course contents. The proposed program contributes positively to the integration of Object-Oriented Programming into Google Classroom by broaden the service for all students and helps in increasing students’ interest in learning. The proposed model was meant to establish interactive conversation to understand the concept of Oracle Academy Java Foundation material based on students' understanding level through the use of Organizing Exercise Items (OEI). Results shown that the program could increased the exam results with an average difference of 0.60 points from the scale of ten compared to the conventional method. The value of post-test was also observed to have increased by 0.39 points from the given pretest. Therefore, the students can interact with chatbot as a learning media for the Java programming language.
    Keywords: google classroom; chatbot; java programming language; object-oriented programming; organising exercise items.
    DOI: 10.1504/IJCEELL.2020.10028915
     
  • A Comparative Study Based on OBE for Different Batches of MCA Students   Order a copy of this article
    by Akash Rajak, Ajay Kumar Shrivastava, Arun Kumar Tripathi 
    Abstract: The research paper discusses novel approach for assessing the grades of students based on outcome-based education. The performance of students of any program like MCA in various examinations, quality of projects and placements are assessed in form of attainments. These attainments are used in the accomplishment of mission, program outcome, program educational objectives and course outcomes of any under graduate or post graduate course. This research discusses about outcome-based learning and its implementation in postgraduate MCA program. A comparative study of last four batches of MCA is also discussed on the basis of attainments of program education objectives. This paper also discusses course and program gap analysis and attainment of mission statements of any department.
    Keywords: OBE; gap analysis; PEO; PO.
    DOI: 10.1504/IJCEELL.2020.10028917
     
  • Research on the influence of instructor image on the learning effect of conceptual learning video   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2022.10028918
     
  • Modelling of Factors of E-learning: An ISM Approach   Order a copy of this article
    by VIVEK AGRAWAL, Sucheta Agarwal, Anand Mohan Agarwal 
    Abstract: E-learning imparts information and knowledge, which helps in educating multi-users. Initially, this process has not been fully accepted by various academic and corporate bodies owing to less involvement of human element in the learning process. However, with the advent of information technology era, e-learning has been wholeheartedly accepted. Therefore, considering the growth of e-learning, this study recognizes the plausible factors influencing e-learning and builds up a basic relationship among the identified factors. The objectives of this study are to identify the influencing factors of e-learning and design a model using Interpretive Structure Modeling (ISM), which is followed by MICMAC analysis to categorize the factors under the four clusters. The use of e-learning is not restricted to just school, universities, and colleges, as there is need for the incorporation of the corporate training and coaching institute.
    Keywords: e-learning; ISM; MICMAC.
    DOI: 10.1504/IJCEELL.2020.10028919
     
  • Higher Education Students’ Perceptions towards Using Facebook as a Learning Platform   Order a copy of this article
    by Rdouan Faizi, Maria Rudneva, Samia Soumia Ezzahid 
    Abstract: Given the ongoing debate among educators regarding the effect of social networks on education, our objective in this paper is to explore students perceptions towards using Facebook as a learning environment. In this vein, based on the survey we conducted among higher education students, it was revealed that 87.4% of the respondents resort to this online community mainly to improve their learning experience. Facebook has, actually, been reported to provide students with an ideal opportunity to access a plethora of learning resources and all class-related information and activities. It also allows them to discuss different topics with classmates and peers and enables them to seek help on learning problems they encounter. Despite the role that Facebook plays in boosting students learning, 72.3% of the subjects noted that no interaction occurs with teachers on this platform. Facebook might, thus, be considered to be more useful for informal rather than formal learning.
    Keywords: higher education; social networks; Facebook; students; survey; perceptions.
    DOI: 10.1504/IJCEELL.2020.10028920
     
  • Geometrical Tools to Teaching Azeotropy Using Simplified Thermodynamic Models   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10029662
     
  • Parametric Identification Components Maritime Systems of Automatic Control Systems with Microcontrollers   Order a copy of this article
    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.
    DOI: 10.1504/IJCEELL.2021.10029856
     
  • E-learning Adoption from Learners' Perspective: Insights from India   Order a copy of this article
    by Vanitha P. S, Sreejith Alathur 
    Abstract: In the era of Electronic-learning 3.0 technologies and learner, dimensions are not adequate while discussing the impact of e-learning. The current paper interprets the e-learning impact in higher education through the users’ lens. The system parameters and learning characteristics are derived from theories of information systems and literature on technology-enabled learning. A constructivism approach is also included in the analysis of technological awareness of users'. To validate the research model, a questionnaire survey 704 responses were collected from India, where the e-learning is gearing up. The PLS?SEM (Partial Least Squares- Structural Equation Model) is used to describe the relationship between constructs: perceive use, perceived satisfaction, and e-learning usage. The study identifies system attributes and learners' factors, which creates a positive impact on e-learning in developing countries like India.
    Keywords: e-learning; Internet; Information and Communication Technologies; perceived use; perceived satisfaction; India.
    DOI: 10.1504/IJCEELL.2020.10029972