The Association between the Score and the Vocabulary in the Waka Essay by High School Student with Waka Learning System

We were allowed to examine the Waka essays (below: ’Kanshoubun’) of high school students studying language arts. The Kanshoubun is about understanding works of art. Waka is a Japanese fixed-form poem. We focused on the association between Kanshoubun scoring results and the vocabulary used in the Kanshoubun. We found that there is correlation between scoring results and the vocabulary used in the Kanshoubun, and also the students become to use more words by Wakaton, new learning method proposed by authors.Knowledge-Based and Intelligent Information & Engineering Systems 19th Annual Conference, KES-2015, Singapore, September 2015 Proceeding

The Proposal of the System That Recommends e-Learning Courses Matching the Learning Styles of the Learners

In providing e-learning, it is desirable to build an environment that is suitable to the student’s learning style. In this study, using the questionnaire to measure the student’s preferences for asynchronous learning and the use of ICT in learning that has been develoed by authors, the relationship between the learning preferences of a student that have been measured before and after the course and his or her adaptability to the course is explored. The result of multiple regression analyses, excluding the changes in learning preferences that may occur duirng the course, shows that a student’s learning adaptability can be estimated to some extent based on his/her learning preference measured before the course starts. Based on this result, we propose a system to recommend e-learning courses that are suitable to a student before the student takes the courses

Developing a Method of Recommending E-Learning Courses Based on Students’ Learning Preferences

In designing e-learning, it is desirable that individual learner’s learning style is considered. This study proposes a way to present the information about the expected adaptability of the course, in which a student wishes to enroll, based on the student’s responses to the learning preference questionnaire administered at the beginning of the course. As the result of applying the real data to the model derived, it was confirmed that it would be possible to estimate the course adaptability before taking the course and to provide the information for the student to improve his/her course adaptability based on the student’s responses to the learning preference questionnaire.15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011), September 12-14, 2011, Kaiserslautern, German

Development of a Real time Evaluation System for Microteaching

We have developed an evaluation system for microteaching. Unlike conventional evaluation methods using paper medium, our system enables evaluation comments to be inputted in real time. In addition, our system enables evaluation comments to be displayed using a video while microteaching. As a result, an evaluator is able to input a comment while watching the teaching practice and the student is able to check the comments while watching the video

THE EVALUATOR’S ASSESSMENT LEARNING USING STUDENT’S REPORT AT CLASSROOM

In this research, the learner learns from evaluator\u27s assessment for another students report on collaborative evaluation. Our system (evPoints) relate to moodle, that enable to report posting and mutual evaluation. In this paper, we report total design about this research.The Fourth International Conference on e-Learning (ICEL2013), July 8-10, 2013, VSB-Technical University of Ostrava, Czech Republi

Development of Learning Methods and System to Practice Problems Using Digital Materials

In recent years, digital learning materials have been incorporated into schools by the spread of Information and Communication Technology (ICT). In this paper, we propose learning methods to develop the expressive power, decision making and thinking skills of students using digital materials. Additionally, we develop the following features: a method that can show the data created in ePub as the digital learning materials, a feature that can search the Internet directly by linking with an Internet browser, and a feature that saves the meta-data for the learner using e-learning to reuse the data that was developed for smartphone users.International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014; Pomeranian Science and Technology ParkGdynia; Poland; 15 September 2014 through 17 September 201

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM