28 research outputs found
Effectiveness of Computer Application in Improving Reading Skills in Chinese Language and Towards Post-Attitudes as Home-based Learning
No full textBackground: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying and distinguishing individual characters hinges upon understanding their structural composition.
Objective: This study aims to explore the impact of a computer application on Chinese language reading skills and students' perceptions regarding the utilization of computer applications for home-based learning.
Method: A total of 60 students engaged in home-based learning using a designated computer application were involved in the study. Employing a quantitative approach with a quasi-experimental design, the study assessed the effects of the intervention.
Results and Conclusion: Following one month of home-based learning through computer applications, participants exhibited higher gain scores in reading skill tests, albeit the differences were not statistically significant. Students expressed a preference for and perceived greater ease in acquiring reading skills through computer applications compared to traditional methods. Furthermore, the integration of computer applications in teaching and learning processes demonstrated the potential to enhance students' motivation, interest, and confidence in language acquisition, albeit without a notable impact on attention levels. The study underscores the pedagogical promise of Computer-Assisted Language Learning (CALL) and advocates for further research endeavors in this domain
Identifying the Factors Affecting Student Academic Performance and Engagement Prediction in MOOC Using Deep Learning: A Systematic Literature Review
No full textThe increasing reliance on Massive Open Online Courses (MOOCs) has transformed the landscape of education, particularly during the COVID-19 pandemic, where e-learning became essential. However, the effectiveness of MOOCs in enhancing student academic performance and engagement remains a key challenge, compounded by high dropout rates and low retention. This study presents a systematic literature review (SLR) conducted over a five-year period (2019–2024) to identify factors affecting student academic performance and engagement prediction in MOOCs, utilizing Deep Learning (DL) methods. The review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, systematically analyzing articles from five major academic databases: ScienceDirect, SpringerLink, Scopus, Taylor & Francis, and Wiley Online. A total of 70 articles were selected for in-depth analysis, focusing on key predictors of student performance and engagement, including demographic data, behavioral patterns, learning activities, and clickstream data. The review highlights the capabilities of DL techniques in predicting student outcomes, such as retention, dropout, and engagement, offering valuable insights for educators and policymakers aiming to improve MOOC-based learning environments. By conducting SLR using PRISMA model, we identified research findings and gaps by proposing a conceptual framework for developing future personalized and adaptive e-learning environment for the inclusive MOOC based hard of hearing and low vision learners. This paper concludes by discussing implications for future personalized and adaptive e-learning environments and the necessity of comprehensive teacher training programs to navigate these evolving educational technologies
AR Module for Learning Changes of Matter in Chemistry
No full textInternal Visualization challenges concerning sub-microscopic particles in chemistry often result in some difficulties in learning the change of state of matter. Therefore, this study aims at developing an augmented reality ProCAR module that utilizes a project-based learning approach to facilitate learning changes of matter. This study employs ADDIE (Analysis, Design, Development, Implementation and Evaluation) instructional design model. The quality of the module was evaluated by a group of 5 Chemistry teacher-educator experts of Universiti Teknologi Malaysia to identify the suitability of the module. Inter-rater reliability (IRR) percentages were determined and the feedback was analyzed based on thematic analysis. The result shows that 100% of its learning objectives, Content, Usability, and Assessment and 75% of its performances were good and reliable all having IRR value 75% and above. Such revealed that AR Module is potentially effective for the teaching phase change to Secondary school students. Recommendations for future studies were highlighte
Design and Fabrication of Safety Distancing Sensor for Bicycle
No full textBicycle safety distancing sensor have attracted considerable attention to the fabrication of safety device integrated with thetechnology. Arduino UNO as programmable microcontroller was used along with ultrasonic sensor and LED strip to produce a functioningand smart alarming device to help the cyclist stay alert during cycling especially at night. The use of safety harness such as fluorescentjacket and lamp torch on the cyclist bicycle itself may not be sufficient for their safety. Hence, the usage of bicycle safety distancing sensoror name as (UNO-Bike) can help the cyclist to ride with more confident. The sensor will detect any upcoming vehicles from behind of thecyclist and warned them by blinking and changing of colour of the LED strip from green to red. There is no invention of safety distancingsensor for bicycle currently, hence our product has an advantage on the novelty, and it is a cost-efficient product as it uses Arduino whichis very user-friendly on the cost and the mechanisms
Design and Fabrication of Safety Distancing Sensor for Bicycle
No full textBicycle safety distancing sensor have attracted considerable attention to the fabrication of safety device integrated with thetechnology. Arduino UNO as programmable microcontroller was used along with ultrasonic sensor and LED strip to produce a functioningand smart alarming device to help the cyclist stay alert during cycling especially at night. The use of safety harness such as fluorescentjacket and lamp torch on the cyclist bicycle itself may not be sufficient for their safety. Hence, the usage of bicycle safety distancing sensoror name as (UNO-Bike) can help the cyclist to ride with more confident. The sensor will detect any upcoming vehicles from behind of thecyclist and warned them by blinking and changing of colour of the LED strip from green to red. There is no invention of safety distancingsensor for bicycle currently, hence our product has an advantage on the novelty, and it is a cost-efficient product as it uses Arduino whichis very user-friendly on the cost and the mechanisms
Factors of students' performance based on cognitive level in a mobile learning environment
No full textAn evaluation of the learning effectiveness of a formulated ideal social collaborative mobile learning environment application towards cognitive level in biology
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