Online-Journals.org (International Association of Online Engineering)
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The Effect of Integrating Interactive Simulations on the Development of Students’ Motivation, Engagement, Interaction and School Results
Get PDFThe concept of chemical bonding and related concepts are essential topics for the fundamental understanding of chemistry courses by secondary school students. Because of the abstraction aspect, students find it difficult to understand this topic. The aim of this study is to improve students' motivation, engagement, interaction and school results by integrating interactive simulations into the teaching-learning process of chemical bonding concepts. The study was conducted in a secondary school in the Kingdom of Morocco, with a sample of 56 students in the qualifying secondary education cycle. The sample was divided into an experimental group and a control group. The experimental group is taught using more molecular models PhET simulations, while the control group follows the traditional teaching method. Using a quantitative research method with a pre- and post-test design, and an observation grid measuring students' motivation, engagement and interaction before and after the integration of interactive simulations. The data were then analysed using the IBM SPSS 25 program. The results showed that students in the experimental group working with PhET interactive simulations scored significantly higher (p<.01) than students in the control group after the post-test, thus the study showed that there is a positive correlation between students' motivation, engagement, and interaction and their school results during instruction using PhET computer simulations combined with molecular models. Therefore, the results of this study suggest that the teaching-learning of chemistry topics related to chemical bonding can be enhanced using PhET interactive simulations combined with molecular models. This research highlights the usefulness of integrating interactive simulations into the chemistry teaching-learning process
Critical Reflections on ChatGPT in UAE Education: Navigating Equity and Governance for Safe and Effective Use
Get PDFPurpose: This study aims to critically review the new AI-based tool ChatGPT in UAE education and evaluate its impact on students and their learning. The study maintains a specific focus on the issues of equity and governance to allow educators in UAE to ensure that the AI-based tool is used ethically, and safely and does not restrict students’ academic development. Design/methodology/approach: This paper is a conceptual paper presenting the critical reflection of authors working in the Emirates College of Advanced Education in UAE (Author 1: Dr. Othman Abu Khurma, Author 2: Dr. Nagla Ali, and Author 3: Dr. Reem Hashem). Consequently, the study reflects the authors’ evaluation of the issues of equity and governance that maximize the potential benefit of how ChatGPT is used by students in UAE schools and higher education institutions and their thoughts on how it might be improved. Findings: The findings of this study indicate that there are both benefits and drawbacks associated with the use of ChatGPT. The authors made some recommendations to the educators in UAE regarding the ethical and fair use of ChatGPT which does not hinder student learning. Practical implications: The findings of this reflective study can raise educators’ and policymakers’ awareness regarding the potential risks and benefits of the use of ChatGPT by students. Moreover, the study offers guidance to educators and policymakers in UAE to ensure ethical and effective learning and the safe adoption of this and similar AI-tools by students. Originality/value: The study is a critical reflection of the equity and governance issue related to the use of ChatGPT by students and offers new practical insights regarding how ChatGPT can be adopted safely by students in UAE. The reflection is based on a conceptual analysis of authors’ personal and professional experiences and test usage and is thus different from previous studies
Learning Path Recommendation of Intelligent Education Based on Cognitive Diagnosis
Get PDFMany learning path recommendation methods of intelligent education have been proposed and implemented. However, many of them have problems or limitations, which may result in unsatisfactory recommendation results. Therefore, this research aimed to study the learning path recommendation method of intelligent education based on cognitive diagnosis. Combined with a cognitive diagnostic model (CDM), personalized and accurate learning paths were recommended to students. This study fully considered the multidimensional features of interaction between students and knowledge when designing the CDM, described the cognitive process, and provided a comprehensive ability modeling method based on cognitive rules. A neural matrix decomposition model was constructed, which incorporated the personality features of students’ comprehensive ability level based on cognitive rules, thus obtaining their predicted scores in various knowledge and skills learned. The model consisted of three parts, namely, the generalized matrix decomposition part, the multi-layer perceptron part and the NeuMF layer. Finally, the experimental results verified that the constructed model was effective
Correlational Analysis of Information and Communication Technologies’ Integration in Direct and Distance Teaching
Get PDFThis study focuses on the correlations that exist between many items linked to the use and integration of Information and communication technologies (ICTs), through a survey based on the collection of data from questionnaires distributed to qualifying secondary school teachers (N = 102) in the Casablanca-Settat region, Morocco. In this study we will ask questions, and try to get some answers during the correlational analysis of the collected data, through a questionnaire, such as: Are the age and gender directly linked to the integration of ICTs by teachers? And many other questions.
A Spearman product-moment correlation coefficient was conducted to evaluate the null hypothesis that says that there is no relationship between the selected items, such as: teacher’s gender, teachers’ ages, Information and communication technologies mastery, university degree and many others). Preliminary analysis showed that there a correlation between age and Information and communication technologies mastery, and there was a significant evidence to conduct that there was a negative association between age and Information and communication technologies mastery r(102) = -.57,p=.01. The results also showed that males master Information and communication technologies well, there for there is a correlation between gender and Information and communication technologies mastery r(101) = .56,p=.02. A strong correlation between university degree and Information and communication technologies mastery r(98) = .58 ,p=.01, and others included in this research
Teachers’ Perspectives on the Development of Augmented Reality Application in Geometry Topic for Elementary School
Get PDFAugmented Reality (AR) is a new evolving technology that can enhance the learning experienceby making learning more engaging, has a beneficial influence on teaching and learning,and assists in comprehension, specifically when it comes to abstract concepts. Teachers playa pivotal role in accelerating the widespread use of AR in education, making it crucial toget their thoughts and perspectives. Based on the perspectives of mathematics teachers, thisresearch aims to determine the necessity for developing an augmented reality learning applicationin the geometry topic for elementary school students through a questionnaire that hasbeen answered by 52 elementary mathematics teachers from Northern State Malaysia. Thefindings of this study were analyzed using descriptive analysis with a value of Cronbach alpha(α = 0.98). The findings of the study indicate three main elements that need to be emphasizedfor the AR development process, namely learning strategy design, presentation design, andinteractivity design. Based on the mean of the research conducted, the findings of the threeelements indicate a significant necessity. The development of AR applications must incorporatethese three elements in order to assist elementary school mathematics teachers in designingAR learning applications that maximize student achievement
A Bibliometric Analysis Examining the Adoption of Augmented Reality in Tourism Research
Get PDFThis study aims to identify the use of Augmented Reality technology and the trend of usingAR in tourism with time limitation from 2013 until 2022. It also aims to determine the valuablecontributions of documents, sources, authors, countries, and institutions worldwide intourism. The qualitative method using bibliometric analysis is suitable for this study becauseit can provide an overview and classify. Data was collected from the Scopus database andthen analyzed using VOSviewer software. The results show that (1) museum, (2) sustainabletourism, and (3) heritage tourism are the keywords most often used in research. The potentialresearch of AR in tourism is directed at the development of underwater tourism, the applicationof virtual museums, ecotourism, culture heritage tourism, digital heritage and destinationimage. Sustainability (Switzerland), Current Issues in Tourism, and The International Journalof Human-Computer are the journals with the most publications. Tom Dieck M. C.M.C, JungT, and Chung N are authors with a high degree of collaboration with other authors. UnitedKingdom, Spain, and Italy became the countries with the highest publications. Researchtrends and advances in augmented reality in tourism have been discussed in more detail inthis paper
SMART Chatbots in the E-learning Domain: A Systematic Literature Review
Get PDFIntegrating Artificial Intelligence (AI) technologies implied significant growth in variousdomains. Furthermore, many companies integrate AI technologies into their products toenhance the quality of their services. Chatbots are among the AI technologies widely used inseveral areas, especially E-learning. Chatbots support learners in their learning processes byhelping them to find the appropriate answers to their questions. We aim to conduct a systematicliterature review (SLR) to uncover the use of AI chatbots to offload teachers from repetitive andmassive tasks. This article surveys the literature over the period 2016–2022 on the use of AIchatbots in the E-learning domain as they automatically answer learners’ questions. Thus, weidentify, collect, and synthesize multiple research studies on the application of AI chatbots in theE-learning field. Based on the renowned frameworks, PRISMA and PICO, we have succeeded in(1) Developing our research questions and (2) Automatically implementing a solution based onPython language to analyze selected papers, highlighting research gaps, and opening new windowsto guide our future works. Our study shows that chatbots effectively interact with learners.However, there are some drawbacks: (1) Educational chatbots are still limited in their localKnowledge Base (KB), which makes them unable to answer students’ questions correctly. Thus,Chatbot’s KB needs to be extended through external sources, enabling the chatbot to update itsKB over time, making it rich and saving time. (2) Lack of reliable external sources to enrich thechatbot’s KB and make it up to date. (3) Lack of educational chatbots with smart services suchas speech recognition and sentiment analysis to boost the user experience and make learningeasier. In our SLR, we discuss these limitations and propose some solutions to fill the gap
Finding Robotic Wide Free Space Path in Dynamic Environment by Improving MAX–MIN Ant System Algorithm
Get PDF— This paper proposes a new obstacle avoidance method for finding an optimal path passing through wide free space based on the optimized MAX-MIN Ant System (MMAS) algorithm in dynamic environments. The proposed improvement of the MMAS algorithm occurs in two stages. The first stage analyses the environment with two modifications by proposing a new relation of pheromone trail updating to construct the consequence modified (deposited) pheromone trail update in each iteration based on adding a new parameter (clean) to calculate the possible wide empty locations. Another alteration at this level involves checking and identifying the four horizontal and vertical states. Suppose the two nodes on either side of the four diagonal nodes are barriers in the next neighbor locations. In that case, the Tight Tunnel state is then attained, and it is managed by sealing this location to prevent passing through it before the robot movement stage. Another alteration is made to the robot-moving stage by recommending a new relation of tour building probabilities to determine the best option for moving the robot from the start node through a dynamic environment that incorporates dynamic obstacles moving through free space by locating and exhibiting the ideal path via broad free space. The main outcome of the experiment simulation of the new method involves that the robot avoids going through narrow tunnels and chooses the best course through open areas to reach its destination without running into any impediments in various dynamic environments conditions. In addition, the comparison of average time occupied to find the paths by the new method reduces to 54.32% as compared with that required with the method of hybrid the basic D* algorithm with the Lbest PSO algorithm, and to 11.95% in comparison to the time occupied recorded when applying the method of the improved MAX–MIN ACO algorithm
A Weighting Model of Cybersecurity Parameters Used for Service Placement
Get PDFMost cybersecurity frameworks are based on three major components such as confidentiality, integrity, and availability. All these components have their parameters that are used to secure network nodes. But finding the most cyber secure node in a network needs a measurement method. The aim of the paper is to offer a model that can be used to find the most secure network nodes considering these cybersecurity components and their parameters. This is achieved by modelling numeric values of respective weights for parameters of confidentiality, integrity, and availability. The model is applied to a simulated environment where random values standing for cybersecurity parameters are given to 30 wireless network nodes that are used as an example. Then the weighted values are processed with Python programming language by giving the most secure nodes according to needed cybersecurity components. This model can be used to recommend the right network node that can be used to deploy services securely while avoiding potential vulnerabilities and cyber-attacks.
 
The Evolution and Reliability of Machine Learning Techniques for Oncology
Get PDFIt is no secret that the rise of the Internet and other digital technologies has sparked renewed interest in AI-based techniques, especially those that fall under the umbrella of the subset of algorithms known as "Machine Learning" (ML).
These advancements in electronics have allowed us to comprehend the world beyond the bounds of human cognition. A high-dimensional dataset's complicated nature. Although these techniques have been regularly employed by the medical sciences, their adoption to enhance patient care has been a bit slow. The availability of curated diverse data sets for model development is all examples of the substantial hurdles that have delayed these efforts. The future clinical acceptance of each of these characteristics may be affected by a number of limiting conditions, such as the time and resources spent on data collection and model development, the cost of integration relative to the time and resources spent on translation, and the potential for patient damage. In order to preserve value and enhance medical care, the goal of this article is to evaluate all facets of the issue in light of the validity of using ML methods in cancer, to serve as a template for further research and the subfield of oncology that serves as a model for other parts of the discipline