This study aims to determine the effect of Photomath mobile application on the achievement and attitude of learning algebraic equations for lower secondary school students in Malaysia. Photomath is a free mobile application, for both ios and android platforms, which uses computer vision and image understanding technology to scan math equations using the mobile camera to subsequently provide worked solutions. The application recognises equations of both printed and handwritten in nature and provides step-by-step calculations and graphical solutions. In this study, data were collected from 33 lower secondary students through pre and post-test and questionnaire. Data from pre-test and post-test were used to investigate the performance of students after the application of Photomath, whereas the questionnaire was used to identify the attitude of students towards the application of Photomath in learning algebraic equations, regarding belief and readiness aspects. Different mean scores for pre-test and post-test were tested, and hypothesis testing using a t-test was used. Data from the questionnaire were analysed using descriptive statistics. This study has found that the application of Photomath significantly enhances the learning of algebraic equations among Form Two students. However, the participants’ belief and readiness towards Photomath are still at a moderate level.
Nowadays, the competitions among countries to recruit engineering students as workers do not focus on talents, but also on the reserve of it. The advancement of education in engineering field plays a big part in enhancing comprehensive domestic strength because the scientific revolution will contribute to important modifications of the industrial landscape. Therefore, Conceive-Design-Implement-Operate (CDIO) understanding and techniques are required for enhancing this field of education particularly for innovation of capstone project. Thus, this study was identified student knowledge and skills consist of teamwork, problem-solving, and communication skills of the CDIO in capstone project involved two faculties which are Faculty of Biosciences & Medical Engineering (FBME) and Faculty of Electrical Engineering (FKE) at Universiti Teknologi Malaysia (UTM). Our respondents consist of 28 and 30 of third-year students from FBME and FKE respectively. Besides, this study also was identified the importance of the CDIO approach in the innovative capstone project. The method that used was a quantitative survey by using 5 Likert scale questionnaires. The average mean for all research questions indicated that the majority of respondents agreed that the CDIO knowledge and skills in the capstone project are important in engineering education. Hence, the engineering students must possess not only the skills such as teamwork, problem-solving, and communication but also needs more knowledge that helps them to employability and adapt to real-world engineering problems.
Due to the existence of Vocational Colleges (KV), the teachers' teaching criteria in KV have also undergone a change. Not only teachers need to have theoretical knowledge only, but teachers need to have high set of skills in doing practical work. It is therefore a priority for these future teachers to master and remember what they have learned in the university because they are able to help them when they want to convey to students in KV later. Therefore, lecturers need to use appropriate approaches to ensure that students understand a lesson, so they can remember easily and longer namely using Project Based Learning (PjBL). Hence, the main objective of this study is to look into the impact of PJBL in improving the retention of knowledge and skills of students who are also the future teachers in KV. The sample of this study consisted of two groups of fourth year students who attended the Education and Technology (Mechanical Engineering) courses. This study used quasi experimental study design in which the Pretest-Posttest design was used to look at the effects of PjBL in term of memory retention period of the students. Fully qualitative method was used in which the students in both group were observed and interviewed in order to gain additional findings. The findings show that the students in the experimental group were having improved knowledge and skills retention as 81.8% obtained score above 80 in the Posttest, whereas only 14.3% of the students in the control group obtained score above 80. The findings also showed that the main factor that improved their knowledge and skills retention was the requirement for the students to use problem solving skills during the project works. Thus, PjBL is a suitable learning method to improve the knowledge and skills retentions for the students.
Water mist sprays are used in wide range of application. However it is depend to the spray characteristic to suit the particular application. This project studies the water droplet velocity and penetration angle generated by new development mist spray with a flat spray pattern. This research conducted into two part which are experimental and simulation section. The experimental was conducted by using particle image velocimetry (PIV) method, ANSYS software was used as tools for simulation section meanwhile image J software was used to measure the penetration angle. Three different of combination pressure of air and water were tested which are 1 bar (case A), 2 bar (case B) and 3 bar (case C). The flat spray generated by the new development nozzle was examined at 9cm vertical line from 8cm of the nozzle orifice. The result provided in the detailed analysis shows that the trend of graph velocity versus distance gives the good agreement within simulation and experiment for all the pressure combination. As the water and air pressure increased from 1 bar to 2 bar, the velocity and angle penetration also increased, however for case 3 which run under 3 bar condition, the water droplet velocity generated increased but the angle penetration is decreased. All the data then validated by calculate the error between experiment and simulation. By comparing the simulation data to the experiment data for all the cases, the standard deviation for this case A, case B and case C relatively small which are 5.444, 0.8242 and 6.4023.
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