Yung-Hui Chen

The Requirement Analysis and Initial Design of a Cloud and Crowd Supported Mathematics Learning Environment for Computer Science Students

Math learning has never been easy and math learning in computer science is not an exception. However, the important of math can never be underestimated. In computer science, it was found that students learning performance in math is strongly connected with the development of the following capabilities: problem solving, programming, computer hardware and architecture design, computer science theory understanding, and software engineering and system analysis. The goal of this research is to develop a method based on cloud technologies and crowd intelligence to enhance students learning performance of math in computer science.

Two-phase Blue-Red tree of rule-space model for the cognitive assessment evaluation and analysis — A case study of MTA course

In Taiwan, it is one of the diverse indicators for the Ministry of Education to promote and evaluate their competencies that the vocational education system students have more than one professional certification. They also are one way to find the ideal jobs that enhance their competitiveness for vocational students on-the-job. Therefore, it is very important to obtain professional certification for students in vocational education systems. In particular, the more professional licenses, the more jobs students can easily get. Therefore, we propose an online learning and testing system that combines two-phase Blue-Red trees of Rule-Space Model, and it is used to remedy and analyze the learning situation of MTA courses and enhance the pass rate of MTA licenses for students. We can classify three SGs(Skill Groups) from the Certiport of Microsoft certification center in the phase one, and the three SGs(Skill Groups) can be produced as a concept map and Blue-Red trees. In the phase two, The ten chapters of MTA course are classified within the three SGs(Skill Groups) of the phase one according to the most similarity in contents between ten chapters and three SGs(Skill Groups). That is, it will be created three groups of a MTA course from previous ten chapters. The three groups can produce three concept maps and three groups of Blue-Red trees. The correction rate of each skill group can not only help improving learners own learning direction, but also help the improvement of the system itself. Our experiment results supports our methodology well.

KCSB: A Game Construction Framework for Kids Coding in Taiwan

In this research, we proposed a game construction framework for designing games to teach young children programming in Taiwan. We focused on kids around 6-7 years old. For kids at such ages, solutions such as LEGO or Scratch may not be acceptable (considering that in Taiwan there is no official curriculum for teaching programming or computational thinking for kids at such ages). Although the blueprint setup a goal of information education for elementary schools, no real time slot is allocated in the current curriculum of elementary schools. The fact shows that teaching programming for young kids in Taiwan is difficult with existing tools/products. In this research, we proposed KCSB, a game construction framework which includes a set of runtime objects, a gd file parser, and a game creator. The framework is based on the Godot game engine. Designers can use the proposed framework with the Godot game engine to develop games that are suitable for teaching programming concepts for young children. At the current stage, the framework supports these progamming concepts: problem solving, algorithm evaluation, function (reusable component) definition, and loop. In the manuscript, an example demonstrating the use of the framework is also included.

Recommendation system based on rule-space model of two-phase blue-red tree and optimized learning path with multimedia learning and cognitive assessment evaluation

Among the various indicators used by the Ministry of Education to assess the learning performance and competencies in Taiwan, a highly emphasized one for students in the vocational education system is the numbers of professional certification they have, which is also an important factor for vocational students to gain suitable job opportunities and to enhance their working competitiveness. As a result, the importance of obtaining professional certifications can never be over emphasized. Specifically, the numbers of certifications they obtained is highly related with the numbers of job opportunities they can expect. In this research, we propose a RS (Recommendation System) based solution. The proposed solution combines two-phase Blue-Red trees of Rule-Space Model and the optimized learning path, and is focused on remedying and analyzing the learning status of MTA courses with the goal of enhancing students’ pass rate of MTA certifications. In phase one, we then identify three SGs (Skill Groups) based on course information from the Certiport of Microsoft certification center, and the three SGs can be utilized for producing both concept maps and Blue-Red trees. In phase two, we classified ten chapters of MTA course into three SGs identified in phase one based on the similarities observed in the ten chapters and the three SGs. The three SGs will then be used for generating the needed concept maps and groups of Blue-Red trees. In this research, we generated three of each. The analysis is based on Rule-Space Mode for all learning objects in each skill group of phase two. For each pair of learning objects, we define the RW (Relation Weight) of them. From all learning paths, we calculate the Confidence Level values of each adjacent pairs of learning objects. Finally, we obtain the optimized learning path through the adoption of the inferred optimized learning path derivation algorithm from the combination of RW (Relation Weight) and CL (Confidence Level). It can be used in OCMLS (Online Course Multimedia Learning System) that recommended the optimized learning path of learning objects for learners to online self-learning, or to RS (Recommendation System) that provides the basis of self-learning remedies for RFRC (Recommended Form of Remedial Course). By adopting this recommendation system for giving guidance for students in preparing for the MTA (Microsoft Technology Associate) certification, we have observed good results in learning performance and pass rate.

Cognitive assessment evaluation of CSCL pedagogy based on NetGuru platform and CSPL pedagogy based on TAoD platform combined with IPOTA for network experiment

The paper was designed to investigate and compare the learning performance between the computer supported cooperative learning pedagogy in NetGuru network experimental platform with normal assignments and the computer supported personalized learning pedagogy in TAoD network experiment platform with IP-oriented template based assignments (IPOTAs). The target participants are the junior students enrolled in the “Network Engineering Lab (1)” course. There were totally 84 students from two classes in a university of science and technology. Participants had to complete 12 units of network experiments. They had to complete assignments for each unit, to attend computer-based midterm and final exams. The class of students participating in the IP-oriented template based assignments (IPOTAs) experiment also had to finish learning satisfaction questionnaires and learning performance questionnaires of the IP-oriented template based assignments (IPOTAs). An analysis was performed based on the scores they obtained in the assignments of the experiments, the scores they obtained in the exams of the experiments, and the questionnaires. The results show that the adoption of the IP-oriented template based assignments (IPOTAs) results in better scores and higher acceptance rate than the ordinary method. The proposed mechanism truly improved the learning performance of the network engineering lab course.

An elder-centered trip recommendation method leveraging crowd sourcing technologies

It appears that major travel agencies in Taiwan have already put elder peoples traveling needs into consideration by including a “Senior-limited” section on their Web sites. However, the issue will be the practicalness and effectiveness of the design. Based on a recent survey, over 90% prefer to plan trips by themselves, the results showed that the practicalness and effectiveness of the current design are questionable. In this research, we propose an elder-centered trip recommendation method based on crowd intelligence. Our design will take both the opinions from travel agencies and from the crowd into consideration to make a more fair suggestion.

The Taguchi System-Two Steps Optimal Algorithm Based Neural Network for Dynamic Sensor Product Design

The key successful factor of the new product design (NPD) of sensor product industry is the selections of the best parameter level. General speaking, decreasing the error rate of product parameter selection by increasing the number of experiments is the commodity trend in NPD goals. For above reasons, previous studies focus on structured approach for the replacement and management of selection of the parameter level in product design with the purpose of increasing efficiency and effectiveness, but rarely on a dynamic environment. Consequently, this work presents a novel algorithm, the Taguchi System-two steps optimal algorithm, which combines the Taguchi System (TS) with two steps optimal (TSO) method, which is shown how product adjusted under a dynamic environment in product design. The utility of the parameter level are selected. The two step optimal (TSO) method links the decisions for selections of parameter level in two different times and can be used to focus on dynamic sensor product design system (DSPDS). From the results, the proposed method might possibly be useful for our problem by selecting the parameter level size and adjusting the parameters by TSO and neural network (NN) in the DSPDS is observed in this study.

Cloud and Crowd Based Learning

Speaking of new teaching methodology, “Flipped Classroom” is undoubtedly a very popular one. The basic concept of flipped classroom is to have students learn by themselves before attending a “real” class at school. Once the background learning stage is performed outside of the class time, tutors have free time to lead students to participate in higher-order thinking. However, as shown in the report of Katie Ash, the performance of the flipped classroom method is in fact still arguable. Our survey shows that the contents offered by most modern e-learning systems are relatively static. Consider how fast new information appeared on the Web! Of course, teachers, or material providers, can upload new contents to e-learning systems. However, creating contents requires efforts. Today, work load of our teachers is already heavy, so expecting teachers to update contents very frequently is not practical. The researchers believe that one of the major challenges faced by e-learning systems today is the richness of contents.

Recommended System for Cognitive Assessment Evaluation Based on Two-Phase Blue-Red Tree of Rule-Space Model: A Case Study of MTA Course

Having more than one professional certification is one of the various indicators for the Ministry of Education to promote and evaluate their competencies that the vocational education system students in Taiwan. This is also one way to find the ideal jobs that enhance their competitiveness for vocational students on-the-job. As a result, it is very important for students in vocational education systems to obtain professional certifications. In particular, the more professional licenses they have, the more job opportunities for them. Therefore, we propose a RS (Recommended System) that combines two-phase Blue-Red trees of Rule-Space Model and the best learning path, and it is used to remedy and analyze the learning situation of MTA courses and enhance the pass rate of MTA licenses for students. We classify three SGs (Skill Groups) from the Certiport of Microsoft certification center in the first phase, and the three SGs (Skill Groups) can be produced as a concept map and Blue-Red trees. In the second phase, The ten chapters of MTA course are classified within the three SGs (Skill Groups) of phase one according to the most similarity in contents between ten chapters and three SGs (Skill Groups). That is, three groups will be created in a MTA course from previous ten chapters. The three groups result in three concept maps and three groups of Blue-Red trees. After that, it is based on the analysis of Rule-Space Mode for all learning objects in each skill group of phase two. We can define the RW (Relation Weight) of every learning object associated with the other learning objects, and separately calculate the Confidence Level values of between two adjacent learning objects from all learning paths. Finally, the optimal learning path can be obtained by the inferred optimal learning path algorithm from the combination of RW (Relation Weight) and CL (Confidence Level). The proposed method can be used to OCLS (Online Course Learning System) that recommended the best learning path of learning objects for learners to online self-learning, or to RS (Recommended System) that provides the basis of self-learning remedies for RFRC (Recommended Form of Remedial Course).

Roll Your Own Web Database: An Innovative Approach for Providing Searchable Web Content

The paper is aimed at addressing two issues: first, despite of the importance of semantic information in HTML pages, it is often ignored by search engines due to various technology difficulties; second, the ambiguity problem sometimes makes results returned by search engines much less useful. OOSM, a schema model as well as a set of information processing tools, is proposed in the paper. OOSM develops the concept of coarse mapping, that is, users are allowed (but not restricted) to associate a grammar node to a sub section instead of a single node on a HTML page. AS a result, minor modifications of the annotated HTML page can be tolerated. We believe that OOSM is a right solution for the issues presented in this paper.