This study investigated the effects of multiple game-based strategies on learners’ academic performance and engagement in Grade 10 Science. It was conducted at Esperanza National High School, Schools Division of Sultan Kudarat, during the school year 2019-2020. The study used… More

This study investigated the effects of multiple game-based strategies on learners’ academic performance and engagement in Grade 10 Science. It was conducted at Esperanza National High School, Schools Division of Sultan Kudarat, during the school year 2019-2020. The study used one group pretest-posttest quasi-experimental research design. This was participated by Grade 10 learners. The development of lessons, validation of instruments, and try-out was made prior to the actual conduct of the study. The data gathered using the 30- item validated researcher-made academic performance test and engagement scale in Science were analyzed and interpreted using appropriate statistical techniques. Mean, standard deviation, and one-way analysis of covariance (ANCOVA) were also used. Findings revealed that the academic performance in Biology of Grade 10 learners taught with multiple game-based strategies was fairly satisfactory; while, the learners taught with the usual way of teaching method, “did not meet the expectation.” There was a statistically significant difference in the academic performance between the learners’ taught with multiple game-based strategies and those learners’ who were taught with the usual way of teaching method. Moreover, the experimental group had high mean scores compared with that of the control group. The group of learners using multiple game-based strategies performed better. Less

In radiation therapy, Monte Carlo method was a standard procedure for absorbed dose calculations; yet it was often frustrating due to long computation requirements and complex programming. Monte Carlo method was soon revitalized since the introduction of Geant4 framework purely… More

In radiation therapy, Monte Carlo method was a standard procedure for absorbed dose calculations; yet it was often frustrating due to long computation requirements and complex programming. Monte Carlo method was soon revitalized since the introduction of Geant4 framework purely written in C++ object-oriented language. This study utilized opensource Geant4 codes for modeling and simulation purposes. These codes were executed to simulate the performance of an Elekta Compact linear accelerator based on available manufacturer’s specifications. A 6-MV photon beam spectrum was modeled by transporting 2 billion 6-MeV primary electrons to hit a tungsten target from a 0.5 mm gun filament radius with spatial energy of 0.127 MeV and angular distribution of ±30o. Depth-doses were computed at 1.04 to 30 cm along the central axis of a voxelized water phantom. Validity of simulated data was verified by comparison with experimental measurement. There was close agreement between simulated and measured beam data. Normalization errors were equal to 4.6% for 10 x 10 cm2; and 3.9% for 15 x 15 cm2 field sizes. Computing efficiency has improved when using condensed-history technique. Therefore, the Geant4 framework can create model and simulate complex geometries of a linear accelerator facility with improved reliability, accuracy, and efficiency. Less