SearcharxivSearch

arXiv subjects

Wahyudi

Publications and source records attributed to Wahyudi.

4 recordsLinked to original sources

Exploring gender differences in the Force Concept Inventory using a random effects meta-analysis of international studies

The force concept inventory (FCI) is one of the research-based assessments (RBAs) established by the physics education research (PER) community to measure students' understanding of Newtonian mechanics. Former works have often recorded the notion of gendered mean FCI scores favoring male students notably in the North America (NA) based studies. Nevertheless, these performance gaps remain inconclusive and unexplored outside the NA context. This paper aims to fill this gap by meta-analyzing the mean FCI scores between gender based on the existing PER literature beyond the NA context. We analyzed the magnitude and direction on the mean FCI scores between gender on the basis of primary international studies published over the last two decades. We also explored the moderating impact of international study characteristics on the meta-analytic findings by performing a subgroup analysis to study the different study regions stratified by two subgroups (NA vs non-NA authors). Thirty-eight studies reporting the mean FCI scores by gender were included in the present meta-analysis. We employed Hedges' g statistic to estimate to what degree the mean FCI scores may be different between male and female students on each study. Under a random effects model, we meta-analyzed the findings and conducted a subgroup analysis to answer the research questions. In summary, our meta-analysis indicated a significantly positive and moderate amount of gendered mean FCI scores in favor of male students both in NA- and non-NA based regions, and the performance gaps were wider in the NA-based studies. Suggestions are discussed for promoting gender fairness in the FCI when interpreting its scores for teaching, learning, and forthcoming studies.

physics.ed-ph

A Question Answering System Using Graph-Pattern Association Rules (QAGPAR) On YAGO Knowledge Base

A question answering system (QA System) was developed that uses graph-pattern association rules on the YAGO knowledge base. The answer as output of the system is provided based on a user question as input. If the answer is missing or unavailable in the database, then graph-pattern association rules are used to get the answer. The architecture of this question answering system is as follows: question classification, graph component generation, query generation, and query processing. The question answering system uses association graph patterns in a waterfall model. In this paper, the architecture of the system is described, specifically discussing its reasoning and performance capabilities. The results of this research is that rules with high confidence and correct logic produce correct answers, and vice versa

cs.DB

Using Graph-Pattern Association Rules On Yago Knowledge Base

We propose the use of Graph-Pattern Association Rules (GPARs) on the Yago knowledge base. Extending association rules for itemsets, GPARS can help to discover regularities between entities in knowledge bases. A rule-generated graph pattern (RGGP) algorithm was used for extracting rules from the Yago knowledge base and a graph-pattern association rules algorithm for creating association rules. Our research resulted in 1114 association rules, where the value of standard confidence at 50.18% was better than partial completeness assumption (PCA) confidence at 49.82%. Besides that the computation time for standard confidence was also better than for PCA confidence

cs.DB

Dynamic Modelling and Adaptive Traction Control for Mobile Robots

Mobile robots have received a great deal of research in recent years. A significant amount of research has been published in many aspects related to mobile robots. Most of the research is devoted to design and develop some control techniques for robot motion and path planning. A large number of researchers have used kinematic models to develop motion control strategy for mobile robots. Their argument and assumption that these models are valid if the robot has low speed, low acceleration and light load. However, dynamic modelling of mobile robots is very important as they are designed to travel at higher speed and perform heavy duty work. This paper presents and discusses a new approach to develop a dynamic model and control strategy for wheeled mobile robot which I modelled as a rigid body that roles on two wheels and a castor. The motion control strategy consists of two levels. The first level is dealing with the dynamic of the system and denoted as Low level controller. The second level is developed to take care of path planning and trajectory generation.

cs.RO