Kyushu University Academic Staff Educational and Research Activities Database
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JINGYUN WANG Last modified date:2018.08.29





E-Mail
Phone
092-802-2677
Academic Degree
Phd,Kochi university of technology, 2014/3
Field of Specialization
e-learning, ontology
Research
Research Interests
  • Visualization Supports for E-book users from meaningful learning perspective
    keyword : Ontology, Visualization, e-book, meaningful learning
    2017.04~2020.03.
  • meaningful learning, knowledge item, e-book
    keyword : meaningful learning, knowledge item, e-book
    2015.04.
  • Personalized learning support system and its evaluation
    keyword : personalized learning, learning support, learner characteristic
    2014.09.
Academic Activities
Papers
1. Jingyun Wang Kentaro Kojima, Exploring an approach for grouping through predicting group performance from analysis of learner characteristics, International Conference on Learning Technologies and Learning Environments (LTLE) 2018, 2018.07.
2. WANG JINGYUN, Flanagan Brendan, Hiroaki Ogata, Semi-automatic construction of ontology based on data mining technique, International Conference on Learning Technologies and Learning Environments (LTLE) 2017, 2017.07.
3. 王 静芸, Hiroaki Ogata, 島田 敬士, A Meaningful Discovery Learning Environment for E-book Learners, IEEE Global Engineering Education Conference 2017, 2017.04.
4. WANG JINGYUN, Hong-Fa Ho, Yuichi Ono, Enhancing personalized feedback system by visual biometric data analysis, 2016.07, This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners’ cognitive processes during learning activities, this system will collect not only their learning logs and questionnaires’ responses, but also their visual biometric data (eye-movement data). Eye-tracking systems with not only eye safety advance but also precision advance will be used in this research. By analyzing all the collected data, the system will identify learners’ characteristics and provide real-time feedbacks in response to their characteristics..
5. WANG JINGYUN, Hiroaki Ogata, Atsushi Shimada, A knowledge comparison environment for supporting meaningful learning of E-book users, Systems, 10.3390/systems4020021, 4, 2, 21, 2016.05, In this paper, we present a system framework making use of e-book logs for visualization learning support systems intended to provide meaningful learning environment for e-book learners. An ontology-based visualization support system, which supports not only meaningful reception learning but also meaningful discovery learning, is designed and developed to help e-book learners to effectively construct their knowledge frameworks. Three main functions are provided in this personalized visualization support system: (1) for any knowledge of E-books, the learner can get its e-book location information and a relation map including its relevance knowledge and their relations; (2) for any page range of any e-book, the learner can get a relation map including knowledge shown in those pages, their relevant KPs and their upper concepts; (3) for any learning period, the learner can check the knowledge map including the knowledge they had read, the relevance knowledge and their relations. Compared to the passive reception environment, in meaningful discovery learning environment learners are encouraged to actively locate new knowledge in their own knowledge framework and restructure existing knowledge by detecting hidden relations between relevant KPs through reflecting the attributes of acquired knowledge visually. Meanwhile the iterative procedure of confirmation and modification in their own relation map ensures that they check the logical consistency of their ideas and clear up misunderstandings..
6. WANG JINGYUN, Hiroaki Ogata, CHENGJIU YIN, Atsushi Shimada, Visualization Supports for E-book users from meaningful learning perspective, e-BookWS@International Conference on Computers in Education 2015, 2015.12.
7. WANG JINGYUN, Mendori Takahiko, A Study of Learning Attitude and Motivation under Different Learning Object Recommendation Strategies from Learning Style Perceptive, International Conference on Computers in Education 2015, 2015.12.
8. WANG JINGYUN, Seiji FUJINO, CACHE-CACHE COMPARISON FOR SUPPORTING MEANINGFUL LEARNING, 12th International Conference on Cognition and Exploratory Learning (CELDA 2015), 2015.10, The paper presents a meaningful discovery learning environment called “cache-cache comparison” for a personalized learning support system. The processing of seeking hidden relations or concepts in “cache-cache comparison” is intended to encourage learners to actively locate new knowledge in their knowledge framework and check the logical consistency of their ideas for clearing up misunderstandings. This active engagement is also expected to prevent a) the emergence of cognitive overload and b) the decreasing of the curiosity and willingness to explore as in the meaning reception learning environment. .
9. WANG JINGYUN, Hiroaki Ogata, Seiji FUJINO, A CACHE-CACHE COMPARISON ENVIRONMENT FOR SUPPORTING THE CONSTRUCTION OF KNOWLEDGE FRAMEWORK , 情報技術、応用数学そして教育に関するワークショップ (IME2015 津和野), 2015.08, The paper presents a meaningful discovery learning environment called “cache-cache comparison” to visually support the e-book learner to effectively construct their knowledge framework based on ontology technique. The processing of seeking hidden relations or concepts in “cache-cache comparison” is intended to encourage learners to actively locate new knowledge in their knowledge framework and check the logical consistency of their ideas for clearing up misunderstandings. This active engagement is also expected to prevent a) the emergence of cognitive overload and b) the decreasing of the curiosity and willingness to explore as in the meaning reception learning environment. .
10. WANG JINGYUN, Mendori Takahiko, The Reliability and Validity of Felder- Silverman Index of Learning Styles in Mandarin Version, Information Engineering Express , 1, 3, 1-8, 2015.09, This paper offers a contribution to the validation work on the ILS instrument based on the author’s
study of the relationship between learning styles and learning performances in a language
learning support system. An analysis on 198 valid questionnaires, collected from Chinese-native
undergraduate students in responds to a Mandarin translation of Felder- Silverman Index of
Learning Styles, are discussed. The discussion includes internal reliability, inter-scale correlation
and construct validity. In the terms of construct validity, the trends of learning style preferences
with respect to gender and the field of study are investigated. .
11. WANG JINGYUN, Mendori Takahiko, A Study of the Reliability and Validity of Felder-Soloman Index of Learning Styles in Mandarin version, 4th International Congress on Advanced Applied Informatics, 2015.07, This paper offers a contribution to the validation work on the ILS instrument based on the author’s study of the relationship between learning styles and learning performances in a language learning support system. An analysis on 198 valid questionnaires, collected from Chinese-native undergraduate students in responds to a Mandarin translation of Felder-Soloman Index of Learning Styles, are discussed. The discussion includes internal reliability, inter-scale correlation and construct validity. In the terms of construct validity, the trends of learning style preferences with respect to gender and the field of study are investigated..
12. WANG JINGYUN, Mendori Takahiko, An evaluation of the learning attitude and motivation in a language learning support system, The 15th IEEE International Conference on Advanced Learning Technologies, 2015.07, In this paper, we investigate the variation of learning attitude and motivation under the environment of a language learning support system. The learner data involve 60 participants’ attitude/motivation rankings before and after studying target grammar contents with the support of the system. Significantly improvement in attitude and motivation was suggested by the analysis. Furthermore, considering learning attitude and motivation as not only conditions but also outcomes for learning, we analyze the relations among learning attitude, motivation, perceptions and achievement..
Presentations
1. Jingyun Wang Kentaro Kojima, Exploring an approach for grouping through predicting group performance from analysis of learner characteristics, International Conference on Learning Technologies and Learning Environments (LTLE) 2018, 2018.07.
2. WANG JINGYUN, Flanagan Brendan, Hiroaki Ogata, Semi-automatic construction of ontology based on data mining technique, International Conference on Learning Technologies and Learning Environments (LTLE) 2017, 2017.07.
3. 王 静芸, Learning Analytics and Learning Support Applications based Educational Big Data, 2017.05.
4. 王 静芸, Hiroaki Ogata, Atsushi Shimada, A Meaningful Discovery Learning Environment for E-book Learners, IEEE Global Engineering Education Conference 2017, 2017.04.
5. WANG JINGYUN, Hiroaki Ogata, Atsushi Shimada, Learning Support Applications and Learning Analytics for e-Book users based Educational Big Data, Asia Pacific Society for Computing and Information Technology, 2017.02.
6. WANG JINGYUN, Hong-Fa Ho, Yuichi Ono, Enhancing personalized feedback system by visual biometric data analysis, International Congress on Advanced Applied Informatics, 2016.07, This paper propose to develop and evaluate a learning support system which can provide personalized feedbacks for helping learners to improve their learning ability. To support the analysis of learners’ cognitive processes during learning activities, this system will collect not only their learning logs and questionnaires’ responses, but also their visual biometric data (eye-movement data). Eye-tracking systems with not only eye safety advance but also precision advance will be used in this research. By analyzing all the collected data, the system will identify learners’ characteristics and provide real-time feedbacks in response to their characteristics..
7. WANG JINGYUN, Hiroaki Ogata, CHENGJIU YIN, Atsushi Shimada, Visualization Supports for E-book users from meaningful learning perspective, e-BookWS@International Conference on Computers in Education 2015, 2015.11.
8. WANG JINGYUN, Mendori Takahiko, A Study of Learning Attitude and Motivation under Different Learning Object Recommendation Strategies from Learning Style Perceptive, International Conference on Computers in Education 2015, 2015.12.
9. WANG JINGYUN, Seiji FUJINO, CACHE-CACHE COMPARISON FOR SUPPORTING MEANINGFUL LEARNING, 12th International Conference on Cognition and Exploratory Learning (CELDA 2015), 2015.10.
10. WANG JINGYUN, Hiroaki Ogata, Seiji FUJINO, A CACHE-CACHE COMPARISON ENVIRONMENT FOR SUPPORTING THE CONSTRUCTION OF KNOWLEDGE FRAMEWORK, 情報技術、応用数学そして教育に関するワークショップ (IME2015 津和野), 2015.08.
11. WANG JINGYUN, A Study of the Reliability and Validity of Felder-Soloman Index of Learning Styles in Mandarin version, International Congress on Advanced Applied Informatics, 2015.07, [URL], This paper offers a contribution to the validation work on the ILS instrument based on the author’s study of the relationship between learning styles and learning performances in a language learning support system. An analysis on 198 valid questionnaires, collected from Chinese-native undergraduate students in responds to a Mandarin translation of Felder-Soloman Index of Learning Styles, are discussed. The discussion includes internal reliability, inter-scale correlation and construct validity. In the terms of construct validity, the trends of learning style preferences with respect to gender and the field of study are investigated..
12. WANG JINGYUN, An evaluation of the learning attitude and motivation in a language learning support system, IEEE International conference on advanced learning technologies, 2015.07, [URL], In this paper, we investigate the variation of learning attitude and motivation under the environment of a language learning support system. The learner data involve 60 participants’ attitude/motivation rankings before and after studying target grammar contents with the support of the system. Significantly improvement in attitude and motivation was suggested by the analysis. Furthermore, considering learning attitude and motivation as not only conditions but also outcomes for learning, we analyze the relations among learning attitude, motivation, perceptions and achievement..
Membership in Academic Society
  • APSCE
  • International Institute of Applied Informatics
  • IEEE
Awards
  • M2B System has been selected as 2017 Honorable Mentions at IMS Global’s annual Learning Impact Awards. These awards are conducted on a global scale to recognize outstanding, innovative applications of educational technology to address the most significant challenges facing education.
Educational
Other Educational Activities
  • 2017.04.
  • 2016.04.
  • 2015.04.