224 research outputs found
Multimedia Learning Theory: Preparing for the New Generation of Students
Due to the ever-changing world, educational environments have greatly shifted leading to the necessity to adapt our teaching and learning styles. Nowadays, a technological development plays a significant role in our life. The book entitled âMultimedia Learning Theory: Preparing for the New Generation of Studentsâ, which was edited by Patrick M. Jenlink and published in 2019, would be one of the resourceful books for today educators. In ten chapters, the five contributors including Abbey N. Boorman, Charles L. Lowery, Brooks Knight, Richard E. Mayer and Scott McLeod have demonstrated a great panoramic idea of the current media and technological trend to be applied in current and forthcoming instructions
Evaluation of the Effectiveness of ICT in Distance Education between Thailand and Japan
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ĩåšŦįįŦåĪ§åĶåĪ§åĶéĒ201
Portfolio for Assessment of Prior Learning (APL)
AbstractPurpose of this research was to develop a portfolio for assessment of prior learning. The subjects were 17 participants in the step of modified Delphi technique, 15 students of Surin Polytechnique College and three APL committees in in the step of implementation, and five experts in the step of evaluate the portfolio model. The statistics used for data analysis were frequency, percentage, means, standard deviation, and the Kruskal-Wallis one way analysis of variance by ranks. The portfolio model for APL consists of two elements that's structure and steps to develop portfolio for APL. The propriety and feasibility of portfolio model were found that the propriety feasibility and congruence index were more than .80 in overall. The implementation of portfolio model was demonstrated. The validity as evidences portfolio model and the congruent of the evaluation of portfolio model were shown as the results
āļāļēāļĢāļāļāļāđāļāļāļāļēāļĢāļāļāļĨāļāļāđāļāļ·āđāļāļĨāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđ āđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļāļāļāļāļĒāļēāđāļĄāđāļāđāļĄāļāļāļāļĢāđāļĄāļīāļ Experimental Design to Minimize Rejected Granules in Wet Granulation Process of Metformin Tablets
āļāļāļāļąāļāļĒāđāļ
āļ§āļąāļāļāļļāļāļĢāļ°āļŠāļāļāđ: āđāļāļ·āđāļāļĻāļķāļāļĐāļēāļāļēāļĢāļēāļĄāļīāđāļāļāļĢāđāļāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļāļāļĩāđāļāļģāđāļŦāđāđāļāļīāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđāđāļāđāļāļĢāļ·āđāļāļāļāļāđāļŦāđāļ āđāļĨāļ°āļŦāļēāļāđāļēāļāļēāļĢāļēāļĄāļīāđāļāļāļĢāđāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāđāļāļāļēāļĢāļāļĨāļīāļāļĢāļ°āļāļąāļāļāļļāļāļŠāļēāļŦāļāļĢāļĢāļĄ āļ§āļīāļāļĩāļāļēāļĢāļĻāļķāļāļĐāļē: āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāļēāļĢāļēāļĄāļīāđāļāļāļĢāđāļāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļēāļĻāļąāļĒāđāļāļāļ āļđāļĄāļīāļāđāļēāļāļāļĨāļēāđāļāļ·āđāļāļĢāļ°āļāļļāļŠāļēāđāļŦāļāļļāļāļēāļĢāđāļāļīāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđ āļāļēāļāļāļąāđāļāļāļāļāđāļāļāļāļēāļĢāļāļāļĨāļāļāđāļāļāđāļāļāļāļāđāļĢāļĩāļĒāļĨāđāļāđāļĄāļĢāļđāļāđāļāļ·āđāļāļŦāļēāļĢāļ°āļāļąāļāļāļĩāđāđāļŦāļĄāļēāļ°āļŠāļĄāļāļāļāļāļąāļāļāļąāļĒāļāđāļēāļ āđ āđāļāļĒāļĻāļķāļāļĐāļēāļāļąāļāļāļąāļĒāļāļāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļ 5 āļāļąāļ§āđāļāļĢ āļāļąāļ§āđāļāļĢāļĨāļ° 2 āļĢāļ°āļāļąāļ āđāļāļ 2 āļāđāļģ āđāļāđāđāļāđ āđāļ§āļĨāļēāđāļāļāļēāļĢāļĨāļāļāļāļēāļāļāđāļāļāļ§āļąāļāļāļļāļāļīāļāđāļĄāļāļāļāļĢāđāļĄāļīāļ (15 āđāļĨāļ° 20 āļāļēāļāļĩ) āļāļąāļāļĢāļēāļāļēāļĢāđāļŦāļĨāļāļāļāļĨāļĄāļāļēāļāđāļāđāļēāļāļāļāđāļāļĢāļ·āđāļāļāļāļģāđāļŦāđāļāđāļāļāļāļĨāļđāļāļīāļāđāļāļ (1,700 āđāļĨāļ° 1,900 āļĨāļđāļāļāļēāļĻāļāđāđāļĄāļāļĢāļāđāļāļāļąāđāļ§āđāļĄāļ) āļāļļāļāļŦāļ āļđāļĄāļīāđāļāļāļēāļĢāļāđāļēāļĒāđāļāļĢāļāļđāļĨāļāļēāļāđāļāļĢāļ·āđāļāļāļāļģāđāļŦāđāļāđāļāļāļāļĨāļđāļāļīāļāđāļāļāđāļāļĒāļąāļāđāļāļĢāļ·āđāļāļāļāļāđāļŦāđāļ (25 āđāļĨāļ° 30 āļāļāļĻāļēāđāļāļĨāđāļāļĩāļĒāļŠ) āļāļ§āļēāļĄāļāļ§āđāļēāļāđāļāļāļēāļĢāđāļāļīāļāđāļāļĨāļāļāļāļ°āļāđāļēāļĒāđāļāļĢāļāļđāļĨ (80% āđāļĨāļ° 90%) āđāļĨāļ°āļāļ§āļēāļĄāļŠāļđāļāļāļāļāļāļģāđāļŦāļāđāļāđāļāļāļąāļāđāļĢāđāļāđāļāđāļāļĢāļ·āđāļāļāļāļāđāļŦāđāļ (3 āđāļĨāļ° 7 āļĄāļīāļĨāļĨāļīāđāļĄāļāļĢ) āļāļēāļāļāļąāđāļāļŦāļēāļĢāļ°āļāļąāļāļāļĩāļāļĩāđāļŠāļļāļāļāļāļāļāļąāļ§āđāļāļĢāđāļĨāļ°āļĒāļ·āļāļĒāļąāļāļāļĨāļāļēāļĢāļāļāļŠāļāļāļāļąāļ§āđāļāļĢāđāļŦāļĄāđ āļāļĨāļāļēāļĢāļĻāļķāļāļĐāļē: āļāļēāļĢāļ§āļīāđāļāļĢāļēāļ°āļŦāđāļāđāļāļĄāļđāļĨāđāļŠāļāļāļāļąāļāļāļąāļĒāļŦāļĨāļąāļāļāļĩāđāļĄāļĩāļāļĨāļāđāļāļāļēāļĢāđāļāļīāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđ āđāļāđāđāļāđ āđāļ§āļĨāļēāļāļĩāđāđāļāđāđāļāļāļēāļĢāļĨāļāļāļāļēāļāļāđāļāļāļ§āļąāļāļāļļāļāļīāļāđāļĄāļāļāļāļĢāđāļĄāļīāļ āļāļ§āļēāļĄāļāļ§āđāļēāļāđāļāļāļēāļĢāđāļāļīāļāđāļāļĨāļāļāļāļ°āļāđāļēāļĒāđāļāļĢāļāļđāļĨ āđāļĨāļ°āļāļ§āļēāļĄāļŠāļđāļāļāļāļāļāļģāđāļŦāļāđāļāđāļāļāļąāļāđāļĢāđāļāđāļāđāļāļĢāļ·āđāļāļāļāļāđāļŦāđāļ āđāļĄāļ·āđāļāļāļģāļāļēāļĢāļāļāļŠāļāļāđāļāļ·āđāļāļĒāļ·āļāļĒāļąāļāļāļĨāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļāļāļāļāļĒāļēāđāļĄāļāļāļāļĢāđāļĄāļīāļ āļāļģāļāļ§āļ 50 āļĢāļļāđāļāļāļēāļĢāļāļĨāļīāļ āļāļāļ§āđāļēāļāļĢāļīāļĄāļēāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđāļĨāļāļĨāļ āļĄāļĩāļāļĢāļīāļĄāļēāļāđāļāļĨāļĩāđāļĒāļĨāļāļĨāļāļāļēāļ 13 āļāļīāđāļĨāļāļĢāļąāļĄāļāļķāļāļāļĢāļīāļĄāļēāļāļāļĩāđāļāđāļāļĒāļāļ§āđāļē 1 āļāļīāđāļĨāļāļĢāļąāļĄ āļŠāļĢāļļāļ: āļĄāļĩāļāļēāļĢāļēāļĄāļīāđāļāļāļĢāđāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļ 3 āļāļąāļ§āļāļĩāđāđāļĄāđāļĢāļ°āļāļļāđāļ§āđāđāļāđāļāļāļŠāļēāļĢāļāļēāļĢāļāļķāđāļāļāļ°āđāļāļĩāļĒāļāļĒāļē āļĄāļĩāļāļĨāļāđāļāļāļĢāļīāļĄāļēāļāđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđ āđāļāļĒāļĄāļĩāļĢāļ°āļāļąāļāļāļĩāđāļāļĩāļāļĩāđāļŠāļļāļāļāļāļāļāļąāļ§āđāļāļĢ āļāļ·āļāđāļ§āļĨāļēāđāļāļāļēāļĢāļĨāļāļāļāļēāļāļāđāļāļāļ§āļąāļāļāļļāļāļīāļāđāļĄāļāļāļāļĢāđāļĄāļīāļ 20 āļāļēāļāļĩ āļāļ§āļēāļĄāļāļ§āđāļēāļāđāļāļāļēāļĢāđāļāļīāļāđāļāļĨāļāļāļāļ°āļāđāļēāļĒāđāļāļĢāļāļđāļĨ 80% āđāļĨāļ°āļāļ§āļēāļĄāļŠāļđāļāļāļāļāļāļģāđāļŦāļāđāļāđāļāļāļąāļāđāļĢāđāļāđāļāđāļāļĢāļ·āđāļāļāļāļāđāļŦāđāļ 7 āļĄāļīāļĨāļĨāļīāđāļĄāļāļĢ āđāļĨāļ°āļŠāļēāļĄāļēāļĢāļāļāļģāđāļāđāļāđāđāļāļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļāļāļāļāđāļĄāļāļāļāļĢāđāļĄāļīāļāļāļĩāđāļĄāļĩāļāļāļēāļāļāļēāļĢāļāļĨāļīāļ 600 āļāļīāđāļĨāļāļĢāļąāļĄāđāļāđ Â
āļāļģāļŠāļģāļāļąāļ: āļĒāļēāđāļĄāđāļāđāļĄāļāļāļāļĢāđāļĄāļīāļ; āļāļēāļĢāļāļāļāđāļāļāļāļēāļĢāļāļāļĨāļāļ; āļāļĢāļ°āļāļ§āļāļāļēāļĢāļāļģāđāļāļĢāļāļđāļĨāđāļāļĩāļĒāļ; āđāļāļĢāļāļđāļĨāđāļĄāđāļāļķāļāļāļĢāļ°āļŠāļāļāđ
ÂÂÂÂAbstract
Objectives: To study the wet granulation process parameters which caused rejected granules in dry mill and optimize such process parameters in large-scale industrial production. Methods: Process parameters were examined using fish bone diagram to identify root cause of rejected granules. Full factorial design was performed to find optimal factor levels. Specifically, 5 factors and 2 levels including delumping time (15 and 20 minutes), inlet air flow of fluid bed dryer (1700 and 1900 m3/h), transfer temperature between fluid bed dryer to dry mill (25 and 30 šC), transfer flap opening between fluid bed dryer to dry mill (80% and 90%) and dry mill blade position (3 and 7 millimeters) were studied in duplicate. Response optimizer and validation of optimized parameters were analyzed. Results: It was found that delumping time, transfer flap opening between fluid bed dryer to dry mill and dry mill blade position were the main factors affecting rejected granules. Optimized parameters were applied and validated among 50 batches. The quantity of rejected granules was reduced from 13 kilograms to less than 1 kilogram on average. Conclusion: Three process parameters which were not stated in the drug registration dossier were found to have an impact on reject granules quantities. Delumping time at 20 minutes, transfer flap opening between fluid bed dryer 80% and dry mill blade position up to 7 millimeters were optimized and successfully applied in 600-kilogram batch size of metformin granulation. This work could be a good platform for other formulations and pharmaceutical process development.
Keywords: metformin tablets; design of experiment; wet granulation process; rejected granule
Improvement of Vehicle Service System by the Application of Lean Six Sigma
This research aims to improve the efficiency of vehicle service system in Faculty of Engineering, Chulalongkorn University. The study adopted the lean six sigma methods with DMAIC process and New Service Development by following 5D steps which are Discover, Define, Design, Develop and Deploy. In this process, the Lean Six Sigma or DMAIC is implemented and considered as the main tool which is used together with the development of service innovation in order to equip the tools with fully developed characters. The occurred problems and its root causes were discovered and defined by using SERVQUAL questionnaires to evaluate customer satisfaction levels to 20 service dimensions. Innovative solutions were generated by using the Quality Function Deployment (QFD) and lean techniques. The action plan includes: 1) developing a vehicle reservation system which can be done via intranet, 2) redesigning the back-end procedure by applying the ECRS principle and developing the manual, 3) improving the quality control and assessment system, 4) developing a new working standard for customers and drivers. After the implementation of this new system, the car users were satisfied with the service as the score (1 - 5 Likert scale) increased by 30% from 3.35 as the medium level to 4.37 as the good level. The time of check back system is decreased by 87% from 15.5 minutes to 2 minute
An innovative price plan monitoring and advisory system: A case study of mobile telecom service in Thailand
An innovative price plan monitoring and advisory system simulates subscriber usage consumption for offering suitable price plan. The aim of this paper is to develop the decision support system by using Statistical Process Control (SPC) to identify subscriber usage behavior and provide critical visibility into subscriber consumption to detect their inappropriate usage especially in exceeding usage. To explore subscriber usage behavior, a forecasting model and a regression is employed to identify related factors and predictive usage model. The innovative price plan monitoring and advisory system has been verified and validated with one of the largest telecommunication company in Thailand. Using decision support system with effective control chart and real subscriber behavior pattern help mobile network operator grow their revenues and profits by offering an appropriate price plan as well as improve subscriber experience with more flexible choice to meet their individual usage consumption needs
Spur and Helical Gear Sliding Loss Model with Load Distribution Pattern on Gear Tooth Surface
The model for estimation of spur and helical gear sliding loss with load distribution pattern on gear tooth surface is presented in this paper. The load distribution for the spur gear is considered to distribute uniformly along the line of contact. During double teeth meshing, load sharing ratio between meshing teeth is considered to be 33:67 percent or 45:55 percent. For the helical gear the load distribution can be calculated by the method proposed by Niemann and Richter. The contour plots of load distribution conform to the tooth contact patterns obtained experimentally. The sliding losses estimated from the presented method are compared with the estimations done by the former model and also the experimental results. It is found that the sliding losses calculated from the presented method are closer to the experimental results than the estimations from the former model. The effects of the helix angle and pressure angle on the sliding loss can also be estimated correctly by the presented method.The model for estimation of spur and helical gear sliding loss with load distribution pattern on gear tooth surface is presented in this paper. The load distribution for the spur gear is considered to distribute uniformly along the line of contact. During double teeth meshing, load sharing ratio between meshing teeth is considered to be 33 : 67 percent or 45 : 55 percent. For the helical gear the load distribution can be calculated by the method proposed by Niemann and Richter. The contour plots of load distribution on gear tooth surface conform to the tooth contact patterns obtained experimentally. The sliding losses estimated from the presented method are compared with the estimations done by the former model and also the experimental results. It is found that the sliding losses calculated from the presented method are closer to the experimental results than the estimations from the former model. The effects of the helix angle and pressure angle on the sliding loss can also be estimated correctly by the presented method
The Development of a Project Evaluation Model for Basic Education Institutions
AbstractMain objective of this research is to develop project evaluation model for basic education institutions, under Office of The Basic Education Commission, Ministry of Education. The specific objective focuses on identifying indicators to prove the efficiency of project evaluation model for basic education institutions, Office of The Basic Education Commission, Ministry of Education. The indicators include Appropriateness Index, Possibility Index, and Congruence Index of project evaluation model for basic education institutions, Office of The Basic Education Commission, Ministry of Education, as well as model test results and model evaluation results
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