International Journal of Continuing Engineering Education and Life-Long Learning (17 papers in press)
Statistical Analysis for Assessing Sample/Practice Exams in Undergraduate Engineering Education
by Mohammad Khasawneh
Abstract: The inclusion of practice exams in undergraduate engineering courses was assessed utilising survey results and the analysis of variance (ANOVA) tools. Data collected was from the survey completed by students and students grades spanning over two semesters one with implementing practice exams and the other without. Results based on survey indicated that there was a very strong consensus among students about the usefulness and validity of such course improvement. Furthermore, the statistical analysis results using the ANOVA and the independent samples t-test tools also showed a significant increase, on the 0.05 significance level (or 95% confidence level), in students academic procurement when utilising the practice exams technique. Therefore, it is recommended that sample exams be implemented in undergraduate engineering education to enhance students earnings and their learning experience.
Keywords: Highway Design; Geotechnical Engineering; Sample Exams; Practice Exams; Undergraduate; Engineering; Assessment; Survey; Statistics; ANOVA.
Multidisciplinary Collaboration: an Integrated and Practical Approach to the Teaching of Project Management
by Silvia Mazzetto
Abstract: This paper presents a practical approach to the teaching of applied project management in the form of a collaborative, multidisciplinary project involving the Departments of Architecture and Urban Planning (AUP) and Industrial and Systems Engineering (ISE) at Qatar University. The two courses, Construction and Project Management (ARCT 530 AUP) and Project Engineering (IENG 481 ISE), were running in the same semester, which made it possible to assemble multidisciplinary project teams that included students from both courses, and to share out the management and development roles between them. The primary objective was to simulate a real-world scenario that gave students the opportunity to address the problems arising out from typical situations of professional projects, such as collaboration and leadership within a team, organisation and tasks allocation, and the ability to manage the time pressure and meet deadlines. This approach brought the theoretical teaching of project management to be closer to its practical application and made it easier for the students to learn the techniques and tools commonly used in the professional setting.
Keywords: Practice Experience; Theoretical Approach; Collaborative Project; Management Process; Leadership Skills.
An exploratory study of discrimination toward contract faculty teaching in engineering colleges of the border area of Gurdaspur, India
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.
Satisfaction ranking of employers towards graduates from higher education institutions: An application of hybrid multiple criteria decision-making approach
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.
Comprehensive Evaluation System of Teaching Quality Based on Big Data Architecture
by Yanan Wang
Abstract: Aiming at the problems of long response time and high error rate in traditional teaching quality comprehensive evaluation system, a teaching quality comprehensive evaluation system based on big data structure is proposed. Firstly, different evaluation indicators are designed, the principle of teaching quality comprehensive evaluation is designed by using data dictionary, the requirement analysis of teaching quality comprehensive evaluation system is realised by using UML use case model, then the overall framework of the system is designed, and the comprehensive evaluation system of teaching quality is developed and studied by using Asp.net related technology. The experimental results show that the response time of the designed system is shorter than that of the traditional teaching quality comprehensive evaluation system, and the fitting degree between the evaluation results and the actual situation is higher, which fully proves the superiority of the designed system.
Keywords: Big Data Architecture; Teaching Quality; Comprehensive Evaluation; System Design.
Automatic Generation of Questions from DBpedia
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.
Multi-agent approach for collaborative authoring and indexing of pedagogical materials
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.
Personality Traits and Industry 4.0
by Praveen Kulkarni, Arunkumar P., Vivek Tiwary, A.S. Deshpande
Abstract: The paper aims to understand the relationship between personality traits and its compatibility with the Industry 4.0 paradigm. It proposes modelling through big five personality traits and academic achievement of engineering students in Industry 4.0 courses. The study adopted an exploratory path through structured questionnaire on personality traits with 44 items and administered it on students undergoing courses in Industry 4.0 in an autonomous engineering college. The results suggest that personality traits influence significantly in the success of the courses in Industry 4.0. The academic results have also reflected in the success of a student in Industry 4.0 course and its influence on the traits. However, the study results have practical implications as the results can be applied for determining career choice of engineering students and providing directions to enhance academic achievement in Industry 4.0 course which is the future of engineering education.
Keywords: Personality Traits; Industry 4.0; Big-Five Personality Inventory.
Learner-generated behaviours in a flipped learning: a focus on computer culture foundation course
by Jiwei Qin, Zhenghong Jia
Abstract: As the current trend of integrating technology in higher education worldwide, flipped learning is regard as an instructional strategy and a part of blended learning instruction, where the students understand and comprehend the instructional contents before attending class by online educational videos. In order to maximise learning, this study implements and re-designs the flipped learning based on the students learning behaviour and academic performance. This paper adopts a real-word example of flipped classroom design in Computer Culture Foundation. The data used in the analyses are derived from both the students learning behaviour and the academic performance for the course. The results led to the following conclusions: 1) the discussion is critical factors that can increase the students learning interests; 2) the number of access, human factor and assignment may affect the students academic
performance. And survey data reinforced that the flipping learning model is an effective strategy to maximise learning.
Keywords: flipping learning model; flipping class; learner behaviours; learning performance.
Prediction of University Students Academic Level based on Linear Regression Model
by Chao Dong, Yan Guo
Abstract: Aiming at the problems of the prediction results by using the existing methods for university students' academic level prediction, such as large error and long time-consuming prediction, this paper proposes a method based on linear regression model to predict the academic level of university students. In order to improve the accuracy and real-time of prediction, Firstly, the students' academic related information is denoised, and then the denoised academic level information is classified. Finally, the linear regression model is used to predict the academic level of university students. The experimental results show that compared with other methods, the prediction error rate of the proposed method varies from 1% to 8%, and the prediction accuracy rate is higher. The predicted duration of the students' academic level is in the range of 1 minute to 5 minutes, and the prediction speed is faster.
Keywords: Academic level; Prediction; Linear regression.
Association Analysis of Online Learning Behavior in Interactive Education based on Intelligent Concept Machine
by Yuenan Chen
Abstract: Aiming at the problem that the existing association analysis of online learning behaviour in interactive education has poor practical application effect, this paper proposes an association analysis method of online learning behaviour in interactive education based on intelligent concept machine. Association rules are used to obtain association information between data. Based on the characteristics of online learning, a data classification index system was constructed by RFM analysis method. K-means method is adopted to cluster user behaviours. PageRank algorithm was used to obtain the most representative learning users, recommend the best courses for users, and analyse the learning behaviour and effect through association rules. Finally, through simulation experiment, it is found that the average learning score of learners increases by 15 points after using this method, and the application effect is good, which verifies the effectiveness of this method.
Keywords: Intelligent concept machine; Interactive education; Online learning; Behavior association analysis.
Construction of Sharing Model for Network Digital Teaching Resource Oriented to Big Data
by Lin Chen, Tianming Feng, Dahang Fan
Abstract: Aiming at the problems of low resource utilisation rate, low model reliability and poor feasibility of current network resource sharing model, this paper proposes and constructs a sharing model for network digital teaching resource based on semantic web. The game model is used to analyse the behaviour evolution of teaching resource sharing model. Based on ontology relationship, a general framework of metadata for teaching resources is constructed to realise interoperability between metadata. Taking XML as the basic grammar, according to the details of the application of teaching resources, the related application based on XML is created, and the sharing of network digital teaching resources is realised by defining the pattern layer by layer. The experimental results show that the utilisation rate of teaching resources under this model is high, and the fitting degree between the model and the actual situation is high.
Keywords: Big data; Digital teaching; Resource sharing.
Research on Innovation of Modern Network Distance Education Model based on Web
by Youkun Tan, Chankyu Lee
Abstract: In view of the low degree of visualisation of the current network distance education model, this paper proposes an innovative research on the modern network distance education model based on web. Firstly, the physical structure of the network distance education model is elaborated and the architecture of the network distance education model is constructed. Taking the examination of network question bank under the mode of distance education as an example, this paper designs the implementation process of the examination of network question bank, in order to realise the innovative research on the mode of network distance education. The experimental data show that the CPU time of this method is about 0.1 hours shorter than that of the traditional method and the flexibility coefficient is close to 1 when the number of users is increased by 200 at a time. This shows that the method is more flexible and intelligent.
Keywords: Web; Modern Network; Distance Education Model; Innovative Research.
Intelligent Evaluation Model of Bilingual Teaching Quality based on Network Resource Sharing
by Li Qian, Zachary Perez
Abstract: Aiming at the poor application performance of traditional model for bilingual teaching quality evaluation, this paper proposes a model construction method of bilingual teaching quality evaluation based on network resource sharing. The evaluation indicators are selected reasonably, and an intelligent evaluation model of bilingual teaching quality based on network resource sharing is constructed. The evaluation indicators in the model are compared and weighted by analytic hierarchy process (AHP), and a fuzzy comprehensive evaluation matrix is established. The bilingual teaching quality evaluation has been realised. The experimental results show that the fluctuation range of evaluation error is between 1.6 and 1.7, and the evaluation error is small. Through the questionnaire survey, it is found that the time for teachers to compile teaching plans is shortened by 0.4 hours, the students' scores are improved by 1.5 points, the quality of bilingual teaching is improved, and the satisfaction of teachers and students is improved.
Keywords: Resource sharing; Bilingual teaching; Teaching quality evaluation; Indicators; Hierarchical analysis.
Online Mobile Teaching Method based on Android in 5G Environment
by Yanhua Wang, Jeroma Talim
Abstract: Aiming at the problem of long delay response of online mobile teaching platform, a design method of online mobile teaching platform based on Android 5G environment is proposed. Firstly, the hardware of the online learning platform is designed, and the Android mobile terminal is taken as the hardware core. In the software part of the system, AIMD algorithm is used to reduce the transmission volume. By controlling the speed of multimedia data flow on the platform, the network congestion of the platform is alleviated. DB-KAD algorithm is used to select the optimised network delay parameters to meet the requirements of multimedia data transmission. The performance test results show that the maximum response delay of this method is 0.07 s, the maximum buffer delay of video is 1.4 s, the number of video pauses varies in the range of 0-1.0, and the response delay requirement of online mobile teaching platform.
Keywords: 5G environment; Android system; Online mobile teaching;.
Application of Mobile Education in Assisted Autonomous Learning Platform in Intelligent Campus
by Yanyan Song
Abstract: In order to solve the problems of low teaching effect and poor student performance in traditional methods of building intelligent campus, an application method of mobile education in intelligent campus assisted autonomous learning platform is proposed. This method analyses the connotation and characteristics of mobile learning, and studies the influence of mobile education on assisted autonomous learning in intelligent campus. By means of questionnaires, the teachers who have carried out mobile education and those who have not carried out mobile education are investigated. And compare the examination results of mobile education classes with those of non-mobile education classes. The results of the survey show that the application of mobile education in intelligent autonomous learning platform can diversify teaching methods, improve teachers' teaching effect, and improve students' learning performance on the premise of improving students' enthusiasm in class, thereby improving the teaching level of intelligent campus.
Keywords: mobile education; intelligent campus; autonomous learning platform; mobile learning.
Construction of Learning Behaviour Tracking Analysis Model for MOOC Online Education Platform
by Peng Zhang, Wei Wang, Chui-zhen Zeng
Abstract: Aiming at the problems of low extraction accuracy, high missed detection rate and low learning efficiency of existing learning behaviour tracking analysis models, a learning behaviour tracking analysis model of MOOC online education platform based on XAPI and Bayesian fuzzy rough set is established. Firstly, the learning behaviour is stratified, then the learning behaviour of online education platform and its correlation with learning effect are analysed, and the learning behaviour indicators are determined. Finally, the learning behaviour tracking analysis model based on Bayesian fuzzy rough set is established. The experimental results show that the accuracy of learning behaviour extraction of the model is always above 93%, and the accuracy is high; the rate of missing detection is between 1% and 4%, and the rate of missing detection is low; the maximum improvement of learning efficiency is 14.8%, and the students' learning efficiency is high, which verifies the validity of the model.
Keywords: education platform; learning behavior; behavior tracking analysis model.