Online-Journals.org (International Association of Online Engineering)
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A New Pre-Processing Approach Based on Clustering Users Traces According to their Learning Styles in Moodle LMS
Nowadays, many Moroccan universities and institutions start offering training and online courses "E-learning". Which accumulate a vast amount of information that is very valuable for analyzing students’ behavior and could create a gold mine of educational data. However, handling the vast quantities of data generated daily by the learning management systems (LMS) such as Moodle has become more and more complicated. This massive data can be used to improve decision making and management, which requires a proper extracting and cleaning methods.
The purpose of this paper is to suggest a new approach for the preprocessing of the execution traces generated during the interaction of learners with the Moodle LMS and especially the educational content in SCORM format.
In this study, we built two experimental corpus with the learning platform Moodle. Using the data generated by the experimental corpus, we applied the Clustering data mining technique as a preprocessing step in our process discovery. Hence, students with similar learning styles or performance levels are grouped together which should help us to build a partial process model (learning process) that are easier to understand for the decision makers
Influence of Sports App Usage on the Exercise Adherence of University Students
Abstract: Students from two classes of freshmen accounting majors enrolled in the School of Economics and Management, an undergraduate university in Zhumadian City, Henan Province, China, were chosen as respondents. The Administration Class 1 was used as the experimental class, which adopted sports application (app)-assisted teaching. The Administration Class 2 was used as the control class. The study results showed that the control group only achieved significant paired samples t-test of pre-test and post-test scores in terms of exercise durability (P=0.007***) and exercise efforts (P=0.060*). In comparison, the experimental group achieved obvious improvement in terms of exercise durability, exercise interest, value judgment, cognitive selection, and exercise efforts (P<0.01***). Obvious differences were also observed in the exercise adherence (P<0.01) post-test scores between the experimental and control groups. These findings prove that the intervention of “sports app + sports teaching” has positive effects on students’ exercise adherence. The research conclusions serve as important references in disclosing the influencing mechanism of using a sports app to improve university students’ exercise adherence, attitudes and behaviors toward physical exercises while using the app. The app can also help students develop scientific exercise habits and strengthen their health management consciousness
The School of the Future: The Role of Digital Technologies, Metacognition and Emotional Intelligence
Technology is developing at a rapid pace, affecting the socioeconomic situation of the planet through innovation and the evolution of applications for easier and faster access to goods and services. The development of new technologies has also affected education. In this paper, the school of the future is presented with regard to emerging or exponential disruptive technologies and the impact of emotional intelligence on those involved in education. The politics of globalization, global perspectives, perceptions, and contemporary social values lead to the education of individuals with accessibility for everyone, from everyone, and from everywhere and at any time in an inclusive world. The school is changing. Research showed that the school of the future reshapes its learning environment to meet the increasing demands of the 21st century which are positively correlated with dynamic, flexible, interactive, creative, and self-directed learning technologies
Context and Learning Style Aware Recommender System for Improving the E-Learning Environment
The learning management system (LMS) is an e-learning software that raised the interest of disparate learners’ groups. However, learners have difficulties in finding learning resources tailored to their preferences in the best way at the right time. Making the learning process more efficient and pleasant for learners can be achieved by using context and learning styles such as customizing aspects. This study proposes a new data-driven approach to retrieve learners' characteristics using traces of their activities based on the Felder-Silverman Learning Style Model (FSLSM). In this research, the traces of 714 learners who enrolled in three agronomy courses taught at IAV HASSAN II (winter session 2019, 2020, and 2021) were analyzed. Learners are categorized into clusters by their preference level for global/sequential learning styles, using an unsupervised clustering method. Then a classifier model tailored to our requirements was trained and based on the learner's learning style and their current context, a learning object recommendation list is proposed for them. The results revealed that the k-means algorithm performed well in identifying learning styles (LS) and the use of context features defined from the learners' adaptive close environments improved learning performance with an accuracy of over 96% given that most of the learners preferred a global learning style
Learning Outcomes of Civil Engineering Students in PBL Based on Building Information Modeling
Abstract—The new technology called building information modeling (BIM) derived in China’s construction industry in the general background of information era, as well as construction of intelligent buildings and smart cities, requires many university students majoring in Civil Engineering who are skilled in BIM technology. Characterized by online learning at any time, free and diversified learning modes, and ubiquitous learning, project-based BIM teaching can effectively improve the learning outcomes of Civil Engineering majors. To explore such learning outcomes of these students from engineering technological universities from project-based BIM teaching, 240 junior students majoring in Civil Engineering from 4 universities in Henan Province, China were chosen as research objects (120 each for the control and 120 experimental groups). The effect of BIM teaching in improving learning outcomes was investigated through a 16-week teaching experiment of Design Theory for Concrete Structure. The experimental and control groups used the project-based BIM teaching and traditional teaching modes, respectively. On this basis, independent and paired sample T-tests were carried out to the experimental data. Research results showed that pre-test scores of the group and control groups have a normality trait, conforming to the preconditions of the teaching experiment. Pre- and post-test scores of the experimental group had evident differences. Post-test scores of the experimental group were 15.82 higher than the pre-test scores, and the difference had statistical significance (P < 0.001). Owing to BIM teaching, post-test performances of the control and experimental groups also had significantly statistical significance. Project-based BIM teaching can improve learning outcomes of university students majoring in Civil Engineering. Research conclusions have important references to build BIM teaching resource platform, solve scattered and insufficient BIM teaching resources, facilitate active learning of university students majoring in Civil Engineering, and improve teaching effect
Development of an Online Learning Lesson in the Educational Technology Equipment Operation Course for Pre-Service Teachers
The objectives of this study are (1) to explore pre-service teachers’ needs in using educational technology tools for online learning, (2) to develop an online lesson about the use of educational technology tools for pre-service teachers, and (3) to compare the learning achievements before and after taking the lesson. The methodology was divided into three phases. The first phase was a needs assessment concerning the use of educational technology tools in online learning. The samples were 272 undergraduate pre-service teachers at the University of Phayao. The research instrument was a needs analysis questionnaire on the use of educational technology tools in online learning. The collected data was analyzed using Modified Priority Needs Index (PNImodified). In the second phase, an online lesson about the use of educational tools was developed. The research samples were three experts in three different fields, including instructional design, educational technology, and assessment and evaluation. The research instrument used in this phase was a suitability assessment form for the designed online lesson. Document analysis and descriptive statistics were used to analyze the data. In the third phase, the learning achievements before and after completing the lesson were compared. The samples were 112 pre-service teachers at the University of Phayao. The research instrument was a learning achievement test. The data analysis included means, standard deviations, and a t-test.
The results were as follows:
Regarding the needs analysis concerning the use of educational technology tools in online learning, the pre-service teachers considered that tools for completing learning tasks were the most crucial element. The data collected from open-ended questions revealed that the most critical problems experienced in online learning were learning tools and poor Internet speed.
The results from the suitability test showed that the developed online lesson was overall suitable (M = 2.98, SD = .174).The pre-service teachers’ average post-test score on the achievement test on the use of educational technology tools was higher than the average pre-test score with a statistically significant difference at the .05 level
Adaptive HDR Image Blind Watermarking Approach Based on Redundant Discrete Wavelet Transform
Remarkable success has been recorded in the usage of digital watermarking which is aimed at protecting the intellectual property of multimedia content. In this paper, a new tone mapping attack-resistant high dynamic range (HDR) image zero-watermarking algorithm is proposed. In this algorithm extraction of stable and invariant features are extracted for efficient zero-watermarking through the application of the redundant discrete wavelet transform (RDWT) to the HDR image. The first step involves transforming the HDR image to HVS color space, and RDWT is implemented using the V-channel so that the LL sub-band which contains the strong structure contents of the image is obtained. The second step involves dividing the LL sub-band into non-overlapping blocks, which are afterwards subjected to the process of transformation through the use of the singular value decomposition (SVD) so that the U matrix can be extracted. Third, the use of an Auto-Regressive (AR) prediction technique was employed in generating a local relationship model and comparison is done to facilitate the production of a binary feature mask. In the fourth process, hybrid chaotic mapping (HCM) is used to generate blended watermark so that the security of the watermark can be fortified. Lastly, the computation of an effective zero-watermark is achieved through the implementation of an exclusive-or operation on the blended watermark and the binary feature mask. Based on the results, the approach presented in this study demonstrated superior performance in terms of withstanding TM attacks and other attacks associated with image processing
The Effectiveness of Web-Based Mobile Learning for Mobile Subjects on Computers and Basic Networks in Vocational High Schools
This research and development are motivated by the problem of limited learning resources on Computers and Basic Networks in SMK Negeri 2. This happens because no learning media attracts students' interest in learning. Therefore, the writer tries to design interesting learning media for students. This study aims to determine the validity, practicality and effectiveness of the design and manufacture of mobile learning media based on mobile web subjects for computer and basic networking subjects for class X TKJ SMK Negeri 2 Padang. This research uses the research & development method. The research subjects were 35 people. The research model used is the development research model (ADDIE model), with the development steps as follows. (1) Analyze, (2) design, (3) development, (4) Implementation, and (5) Evaluate. The results of the overall effectiveness test assessment of the effectiveness of Mobile Web-Based Mobile Learning on Computers and Basic Networks (KJD) Class X SMK Negeri 2 Padang Odd Semesters of 93.57% so that the level of effectiveness can be interpreted very effectively used. In conclusion, based on the assessment and expert input and the results of the field trial of Mobile Web-Based Mobile Learning Media as a learning medium, it has been tested for feasibility and excellence. It can be used in the learning process on KJD subjects for class X TKJ SMK N 2 Padang.
 
An Immersive and Interactive Setting to Practice Emotional Intelligence
Emotions are an essential part of being human. Whether we experience them deeply, overcontrol them, or let them overwhelm us, emotions have a big influence on our experiences, our performance, and our quality of life. Bing emotional intelligent helps us make better decisions, forge stronger relationships, and overcome challenging situations. To improve emotional intelligence,we designed an immersive setting where participants interact with a variety ofsituations digitally displayed with fully cognitive and emotional involvementpracticing empathy, self-awareness, and self-regulation. We work at the inter-section of thinking and feeling, increasing participants’ awareness about theway the mind works, experimenting the intensity of the emotions in the bodyand the impact on the behavior. Scientific evidence from neuroscience showsthat as human beings, we are not passive receivers of sensory input, but ourbrain constructs meaning actively from sensory input, beliefs, past experiences,and culture. In our brains, thoughts and feelings are highly interconnected: wefeel what our brain believes, so reflection on emotion is crucial to make senseof our experiences and regulate our feelings. It’s not about controlling emo-tions, but rather about connecting with our emotional life
Intelligent Avatars, Holographic Tools, Digitized Objects: An Extended Reality Simulation Demonstration
How can we design engaging and effective medical education both online and on site? Extended reality (XR) is a term referring to all real-and-virtual combined environments and human-machine interactions generated by computer technology and wearables. It includes representative forms such as AR, VR, and MR, and the areas interpolated among them. MR is a domain of particular interest today: It takes place not only in the physical world or in the virtual world, but is a mix of the real and the virtual. Metaverses can be enabled by MR wearable augments. Glasses-free MR is another very interesting dimension: e-REALâ, as a MR environment for hybrid simulation and medical education in general, can be a stand-alone solution or even networked between multiple places through a link to a special videoconferencing system. Digital humans and human-sized holograms are part of the e-REAL scenarios, making this solution unique, rich, and diversified