Online-Journals.org (International Association of Online Engineering)
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University Students’ Perceptions and Practices of Online Co-construction of Digital Citizenship Competencies
Get PDFPreparing students to engage in global discussions is essential in today’s world. As a result, instructors are increasingly interested in developing ways to enhance university students’ digital citizenship skills. This qualitative study explores methods to foster these skills through asynchronous online discussion activities, focusing on students’ behavior and feedback during and after the activities. Thematic analysis was used to evaluate data collected from the posts of 64 students in 10 groups and the transcript of focus groups and interviews. The findings highlight instructional strategies that enhance students’ digital citizenship, showcasing how they interact with instructors and peers. Students developed key skills such as resilience in handling conflicts, self-motivation, peer learning, and professional communication, including justifying claims and providing evidence. The study also reveals that students demonstrated a deeper understanding of digital citizenship and were eager to apply their skills in various digital contexts. These results offer important insights for higher education institutions on promoting digital citizenship and guiding instructors in integrating it into curricula
Essential Features for Mobile Applications to Assist Early Childhood Educators
Get PDFThe integration of early childhood applications is increasingly common. However, in this process, educators often use academic apps from Apple and Android stores, believing they will enhance children’s training. However, most of these apps, not designed by preschool educators, fail to enhance the training processes in early childhood education. This paper aims to identify the essential features those mobile applications must possess to enhance childhood education processes. To achieve this, we conducted a qualitative study with a descriptive scope and involved teachers of childhood education from the Universidad de La Sabana in the development of the mobile application. It is also based on the Mobile-D agile development methodology. The results have enabled the development of an intuitive mobile application for early childhood children, which strengthens children’s development of cognitive, body, communicative, and aesthetic dimensions and identifies the essential elements that mobile applications should have in early childhood. The findings indicate that it is critical to involve early childhood education teachers in the development of mobile applications and that mobile applications must strike a balance between entertainment and educational content, as well as strengthen cognitive processes rather than disciplinary content
Mobile Language Learning: A Digital Approach to Improving English Communication
Get PDFA digital media platform can enhance students’ motivation and help them learn new abilities to further their English communication skills. They can utilize it to improve their English communication skills through their mobile phones for lifelong learning and to integrate digital media technology into their study and work worldwide, developing 21st-century abilities and skills. This study aimed to create a digital media platform, improve students’ English communication skills, and study students’ satisfaction with using the digital media platform through mobile language learning. A sample of 107 students participated in the self-learning of English for Daily Life Communication course, which was selected using a simple random sampling technique. The digital media platform included videos and practices of 20 contents about English communication for daily life. The experiment was carried out for five weeks. The research instruments included digital media platform, a pre- and post-test, and a satisfaction questionnaire. The data were statistically analyzed by mean and standard deviation. The results revealed that the students improved their English communication skills at the .005 significance and were satisfied at a mean of 4.31. It concludes that the digital media platform benefits by enhancing the students based on their findings on improving their English communication skills and overall satisfaction. Additionally, both the educators and students are supported in achieving successful foreign language learning through mobile technology
Integration of Mobile Learning in Rifdarmon Model to Improve Student Learning Outcomes
Get PDFMobile learning utilizes mobile technology, such as smartphones, tablets, and other mobile devices, to facilitate a flexible and collaborative learning process. This research aims to implement the integration of mobile learning into the Rifdarmon model in the learning process and evaluate the effectiveness of mobile learning integration into the Rifdarmon model in improving student learning outcomes in the Sensors and Transducers course. This research uses a quantitative approach with an experimental method. The subjects in this study are active students in the Automotive Engineering Department of Padang State University taking the Sensors and Transducers course. The sampling technique used is cluster random sampling, where the researcher randomly selects two classes, the control and experimental classes. Then all students in the selected clusters become the sample. The data in this study were collected based on the pre-test and post-test scores obtained by students in the Sensors and Transducers course. Based on the results and discussion, the implementation of mobile learning integration into the Rifdarmon model in the learning process was successfully carried out in this research. There was a significant increase in learning outcomes for students after following the learning process, both with the conventional learning model (control class) and mobile learning integration into the Rifdarmon model (experimental class)
Designing Smart Supply Chains Based on Digital AI Instruments and Mobile Technologies
Get PDFAcademic and industrial research on digital technology has been quite thorough. Nevertheless, scant information exists regarding the supply chain implementation of digital technology in industrial companies. To better understand supply chains, this article will look at why and how manufacturing companies are implementing digital technology. The goal of this paper’s literature analysis is to pinpoint current studies and perspectives on how these technologies could help digital supply chains (DSCs) operate better, faster, and more efficiently. The investigation looks at the technologies’ directions and challenges in improving the efficiency of digital help confinement, in addition to underlining their significance for supply chains and logistics. It investigates the managerial and practical issues in developing a new integrated paradigm for digital supply chains. Also, possible obstacles to DSCs and procurement will be examined, along with solutions. Consequently, this study pinpoints multiple opportunities for adding value when implementing Internet of Things (IoT) in the supply chain using mobile technology. Additionally, it suggests a method for creating business models for supply chain algorithms
Multi-Label Risk Prediction Diabetes Complication Using Machine Learning Models
Get PDFEarly diagnosis of diabetic complications based on risk factors is essential but remains understudied, particularly in the context of multi-label classification (MLC). This study leverages data from the behavioral risk factor surveillance system (BRFSS) from 2016 to 2021 to classify seven diabetes complications using MLC techniques combined with multiple machine learning (ML) models. We analyzed 33 variables per dataset year after thorough statistical analysis and preprocessing. Seven ML models were employed: Artificial neural network (ANN), random forest (RF), decision tree (DT), K-nearest neighbors (K-NN), naïve Bayes (NB), support vector machine (SVM), and deep neural network (DNN). We compared two MLC frameworks: problem transformation and algorithm adaptation. The performance of the models was evaluated using several metrics, and feature importance for each complication was analyzed. Our results indicate that the algorithm adaptation framework, particularly with DNN models, outperforms problem transformation. This highlights the potential of this approach for improving classification performance in complex diseases with multiple complications
An Inductive Reasoning Strategy with Cloud-Based Symbolic Mathematics Software to Improve Undergraduates’ Mathematical Knowledge
Get PDFMathematics involves thinking and reasoning, both of which should be emphasized to improve students’ knowledge and abilities. The main aim of this study was to examine undergraduate students’ conceptual and procedural mathematical knowledge after exposure to software-embedded inductive reasoning strategy in cloud-based environments. Purposive sampling techniques were used to select participants—60 undergraduate students enrolled in the Ordinary Differential Equations (ODEs) course. A quasi-experimental approach using a post-test control group was adopted for the study. Research instruments included a test of mathematical knowledge and an inductive reasoning strategy with cloud-based symbolic mathematics software. The data were analyzed using a quantitative approach involving mean, standard deviation, and a t-test. The results revealed that the mathematical knowledge of the experimental group statistically exceeded the 60% criteria at the 0.05 significance level. The mathematical knowledge of students in the experimental group was significantly better than that of the control group at a statistically significant level of 0.05. The results of this study imply that incorporating cloud tools as part of the inductive reasoning strategy had a positive impact on students’ mathematical knowledge
Evaluating the Usability of a Gamified Virtual Course Designed to Teach Cultural Heritage
Get PDFVirtual courses represent a major innovation in online teaching and learning, offering diverse training options tailored to individual needs and interests. Proposals have been developed in the field of didactics to provide heritage-related instruction using methodologies and strategies supported by digital sources and offered online. However, there is no comprehensive data compilation available on the evaluation of the usability of digital resources developed for imparting learning about cultural heritage. Hence, this study aims primarily to present the instructional design and usability evaluation of an expert-validated gamified virtual course titled “Cultural Heritage Guardians.” The study results show high usability scores for the designed course, as measured by the system usability scale. This study significantly contributes to aspects related to user evaluations of the usability experiences of virtual courses focused on pedagogy related to cultural heritage
Implementing the Flipped Classroom Model in Science Lessons for Junior High School Students
Get PDFThe present study refers to the idea of the flipped classroom. The flipped or otherwise called inverted classroom is a modern teaching concept, which essentially reverses the terms of the traditional learning method. The students study the lesson beforehand, outside the classroom using new technologies, while the time inside the classroom is mainly devoted to discussions and solving questions by the educator, hands-on activities that stimulate the students’ interest and connect the acquired knowledge with everyday problems. Reversing the traditional teaching process appears to be paying off for students, as since utilizing classical teaching techniques, their performance seemed to decline over time. For this purpose, the flipped classroom method was applied in a junior high school class in Athens, Greece, for Physics lessons during the 2022–2023 school year. At the end of the school year, the students that participated in the flipped classroom completed a survey that was developed jointly with the cooperation of the respective teachers who taught the course in order to establish the degree of the students’ acceptance of the specific method. The results of the survey and a correlation of the students’ performance who participated in the flipped classroom with the performance achieved by the rest of the students that followed traditional teaching methods, as well as with the previous year’s students’ performance who also followed the classical teaching model, are analyzed and discussed
Natural Language Processing Approach to Evaluate Real-Time Flexibility of Ideas to Support Collaborative Creative Process
Get PDFNatural Language Processing (NLP) has emerged as a valuable approach to assist in solving complex challenges in educational settings. This study explores NLP techniques, particularly sentence embedding models, to evaluate the flexibility dimension of divergent thinking during an open-ended collaborative creative (cocreative) process. The methodology involved a case study in which 25 secondary education students participated. The students worked in five collaborative groups to solve a real-life challenge through a cocreative process. During this study, we focus on evaluating flexibility, defined as the shift from one semantic category to another, grounded in the semantic similarity of ideas. Initially, we measured semantic similarity with eight-sentence embedding models and experts. We also conducted a correlation analysis of the experts and sentence embedding models to choose one highly correlated model. Subsequently, we evaluated the flexibility of ideas in creative techniques using experts and the high-correlated sentence embedding model. The results disclose that among the eight applied sentence embedding models to evaluate the semantic similarity of open-ended ideas, the Universal Sentence Encoder Transformer (USE-T) is highly correlated with experts. Moreover, USE-T strongly aligns with experts’ evaluation to evaluate flexibility. These results will be valuable for designing and providing immediate feedback during cocreation, enabling AI-driven support to foster innovative solutions to real-world challenges