This research is aimed to propose an ontology-based framework for generating multiple-choice questions that can evaluate students’ knowledge in the analytical level. The questions generated from this framework could encourage students to apply relative concepts from the lesson they learn to produce different paradigms for solving the same problem. The experiment of this research demonstrates an implementation of the framework. A structure of a question set from the framework comprises a problem and an initial solution in the question phrase and multiple choices including one correct choice and three distractors. The experimental results show effectiveness of the questions constructed based on this framework in terms of distractors that can reveal students’ misconceptions. Also difficulty and discrimination indices – P-scores and D-scores used in the experiment show that in a range of difficulty the generated questions can reveal strength and weaknesses of students in the groups of high and low learning performance. Eventually this research suggests how the proposed framework could be used as a foundation for automatically generating questions in a knowledge-evaluation system.

This research aims to develop the guidelines of an automated educational recommending system through various social media in form of chat robots (Chatbot). This is under the assumption that the Chatbot can assist the human workload in responding to Students’ frequently asked questions (FAQ). With the Chatbot inquirer students would be responded in fast and accurate to the inquiries. The prototype of this system is built on the Dialogflow platform to connect to the Line Application. The prototype was tested via users and received “good” level of the overall user’s satisfaction.

The study of the efficiency of fuel consumption by adjusting the fuel injection pressure is basically one optimization method to maximize the engine combustion. In this current study the Honda wave 110 cc. engine has been used to test in particular the fuel injection by adjusting the pressure of injector. To control the pressure of injection was made by automatic valve injectors with three different pneumatic pressure which were 2 2.5 and 3 bars respectively and the similar running distance of 5km. The results showed that at 2 bars the obtained fuel saving was 1020.68 km/L and the speed at 25.23 km/h which corresponded to the highest CO2 emissions during the engine combustion.

This research aims to research develop and develop a web-based tourism management application in Kanchanaburi province. An Analysis of Opinion Assessment on Educational and Web Application Development for Kanchanaburi Tourism Route Management. Based on the results of the analysis the assessment of feedback on the process factors / procedures used in the system performance factors of the system. Factors of convenience beauty and quality factors of the system. The opinions on satisfaction were at a very good level.