การพัฒนาบทเรียนคอมพิวเตอร์ช่วยสอนวิชาการเขียนโปรแกรมเชิงวัตถุเพื่อใช้ในกิจกรรมการเรียนรู้ร่วมกันผ่านสื่อสังคมออนไลน์

The objectives of research were 1) to develop the Computer-Assisted Instruction (CAI) of Object-oriented programming subject for collaborative learning via social media, 2) to compare achievement before and after learning by using the Computer-Assisted Instruction (CAI) of Objectoriented programming subject for collaborative learning via social media, and 3) to find the satisfaction after learning by using the Computer-Assisted Instruction (CAI) of Object-oriented programming subject for collaborative learning via social media. The purposive sample were 34 students that register of Object-oriented programming subject in semester 1/2558. The instruments of research were CAI in Facebook, achievement test in http://www.examonline.in.th and questionnaire with Google Drive. The data were analyzed by basic statistic and t-test dependent sample group. The results of research included as follows 1) The result of developed Computer-Assisted Instruction (CAI) consisted of pretest, lesson objectives, content of the Computer-Assisted Instruction (CAI) through social media, learning activities, and posttest 2) The achievement after learning was higher than before learning by using the Computer-Assisted Instruction (CAI) of Object-oriented programming subject for collaborative learning via social media at statistically significant level .05, and 3) the learner’s satisfaction after learning by using the Computer-Assisted Instruction (CAI) of Object-oriented programming subject for collaborative learning via social media was at the high level. Therefore, the Computer-Assisted Instruction (CAI) of Object-oriented programming subject for collaborative learning via social media can be applied in classroom effectively

Directional sensitivity of MuSTAnG muon telescope

We investigate directional sensitivity of MuSTAnG muon telescope by deriving the distribution of secondary muons, which create the counting rate of telescope, by asymptotic directions of primary protons. This distribution, defined as “directivity function”, allows us to clarify protons appearing from which direction essentially contribute to counting rate of detector. Directivity function has different behavior for the muons falling on the telescope at different zenith and polar angles. Vertical, West, and East fluxes exhibit strong maximums near the asymptotic longitude about 61°, whereas North and South fluxes have larger spread distributions. About 65% of muons, which create the Vertical counting rate of MuSTAnG, are produced by the primary protons, coming in the interval of asymptotic longitudes about (50°, 80°). Using directivity function will allow one to more correctly determine the location of interplanetary disturbances. Analogous analysis, made for other muon detectors, will clarify their directional sensitivities, improving by this the forecasting capability of network of ground-based muon detectors