Curriculum Vitaes
Profile Information
- Affiliation
- Professor, Faculty of Science and Technology, Department of Information and Communication Sciences, Sophia University
- Degree
- 工学士(上智大学)工学修士(上智大学)博士(工学)(上智大学)
- Contact information
- ytamura
sophia.ac.jp - Researcher number
- 30255715
- J-GLOBAL ID
- 200901006029097360
- researchmap Member ID
- 5000064353
(Subject of research)
Learning Support Environment for Collaborative and Active Learning
Automatic Feedback of Physical Learning with use of Kinect
R&D of Individual / Collaborative Learning Functions on Electronic Textbook
(Proposed theme of joint or funded research)
Study on Active Learning Support Environment
R&D of multi-functional electronic textbook on Tablet PCs
Research Interests
4Research Areas
1Research History
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Apr, 2014 - Present
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Apr, 2004 - Mar, 2014
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May, 2004 - Jul, 2004
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Apr, 1997 - Mar, 2004
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Jul, 1993 - Mar, 1997
Education
1-
Apr, 1985 - Jul, 1987
Committee Memberships
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Apr, 2020 - Present
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Apr, 2001 - Present
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Apr, 2017 - Mar, 2020
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Apr, 2014 - Mar, 2017
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Nov, 2013 - Mar, 2015
Papers
33-
Educational technology research, 43(1) 3-21, 2021 Peer-reviewed<p>This paper focused on students' peer assessment and analyzed evaluation behavior using log data from the evaluation process. Peer assessments by students are problematic in terms of reliability and validity. Many previous studies have discussed the reliability and validity of peer assessments using the evaluation scores of peer assessments. In contrast, the evaluation process, that is, who, when, and which items were evaluated, and in what order, has not been studied. The purpose of this research is to answer this research question, "How do students evaluate each other during peer assessments?" To achieve this purpose, we break the research question into three sub-questions: (1) Is it worth focusing on evaluation behaviors? (2) How can we visualize evaluation behaviors? and (3) What are the characteristic evaluation behaviors? First, we investigated similar studies and considered their relationship with our proposal. Consequently, it became clear that in social science, there have been many studies that acquire process data for answering surveys and questionnaires. Therefore, also in peer assessment research, there is a possibility to gain a better understanding of how students participate in peer assessment by focusing on the process log. Second, we developed a web-based form as the peer assessment tool to detect students' evaluation process data. Using this form, we conducted an experiment to acquire evaluation process data from a class in which assessments were made to visualize evaluation behavior. Finally, we extracted and discussed characteristic evaluation behaviors. Consequently, we identif ied characteristic evaluation behaviors such as "evaluated in a short time." We expect these results will lead to a clarif ication of the causes of low reliability and validity in students' peer assessments that have been dif f icult to assess through conventional methods based only on the peer assessment score. Specif ically, the causes are, for example, "the students were not evaluating seriously," "they evaluated seriously but could not evaluate properly because of a lack of evaluation ability," or "there was room for improvement in the form design or lesson conditions."</p>
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Workshop Proceedings of the 23rd International Conference on Computers in Education, ICCE 2015, 627-636, 2015
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Workshop Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014, 820-825, 2014
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Journal of Japan e-Learning Association (JeLa Journal), 13 114-122, Jul, 2013 Peer-reviewed
Misc.
72-
AACE eLearn 2024, Oct 9, 2024 Peer-reviewedLead author
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Proc. 31st International Conference on Computers in Education, 923-925, Dec, 2023 Peer-reviewedLead author
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Proceedings of the 30th International Conference on Computer in Education, 696-698, Dec 1, 2022 Peer-reviewedLast author
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Proceedings of the 30th International Conference on Computer in Education, 705-708, Dec 1, 2022 Peer-reviewedLast author
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Proceedings of the 29th International Conference on Computer in Education, 691-693, Nov 25, 2021 Peer-reviewedLast author
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20(4) 183-189, Dec 12, 2020
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Proceedings of the 28th International Conference on Computer in Education, 695-699, Nov 26, 2020 Peer-reviewedLast author
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20(1) 29-36, May 23, 2020
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Proceedings of the 27th International Conference on Computer in Education, 755-758, Dec, 2019 Peer-reviewedLast author
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Proceedings of the 27th International Conference on Computer in Education, 632-636, Dec, 2019 Peer-reviewedLast author
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Proceedings of the 27th International Conference on Computer in Education, 676-678, Dec, 2019 Peer-reviewedLast author
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Proceedings of the 26th International Conference on Computer in Education, 352-354, Dec, 2018 Peer-reviewed
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Proceedings of the 26th International Conference on Computer in Education, 11-14, Nov, 2018 Peer-reviewedLast author
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32(5) 37-42, Jan, 2018
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Proceedings of the 25th International Conference on Computer in Education, 25-30, Dec, 2017 Peer-reviewedLast author
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Proceedings of the 25th International Conference on Computer in Education, 20-24, Dec, 2017 Peer-reviewedLead author
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Proceedings of the 13th International Conference on Cognition and Exploratory Learning in Digital Age, 165-172, Oct, 2016 Last author
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The International Workshop on Learning Analytics and Educational Data Mining (LAEDM 2016) In conjunction with CRIWG/CollabTech 2016, 8, Sep, 2016 Last author
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Proceedings of the IEICE General Conference, 2016(1) "SSS-104"-"SSS-105", Mar 1, 2016
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journal of the Japanese Society for Artificial Intelligence, 30(4) 504-505, Jul 1, 2015 Invited
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Transactions of Japanese Society for Information and Systems in Education, 32(2) 148-159, May 1, 2015 Invited
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29(6) 65-72, Mar, 2015
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Journal of information processing and management, 57(11) 791-798, Feb 1, 2015 Invited
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World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, 1906-1911, Oct, 2014
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Journal of information processing and management, 57(5) 307-314, Aug 1, 2014 Invited
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Workshop Proceedings of ICCE2013, 209-216, Nov, 2013 Lead author
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IEICE technical report. Education technology, 113(67) 23-28, May 26, 2013This paper shows typical functions required on electronic textbooks to be adopted in various countries, trial implementation of these functions, and their verification of representation and behavior in six e-book platforms. First, the authors extracted the functions by checking preceding researches and investigations. The result contains 52 items, including 7 categories of "authentication", "copyright", "contents representation", "related information", "additional information by learners", "learning support", and "restriction of contents and platforms". Next, these functions were implemented with ePub3 format e-books. ePub3 is going to be one of de jure standard format of e-books. Also, contents representation and behavior of the result ePub e-books were verified on 6 types of e-book platforms on operating systems of iOS, Android, Windows, and Kindle Linux. The verification result shows that iBooks3 on iOS worked best among the 6 e-book readers. Also it shows that many e-book readers support only representation of ePub2 files, while HTML5, JavaScript, and Web API are not supported yet.
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53(6) 619-622, May 15, 2012
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JSiSE research report, 24(7) 10-15, Mar, 2010
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JSiSE research report, 24(6) 138-141, Mar, 2010
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JSiSE research report, 24(7) 4-9, Mar, 2010
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IEICE technical report, 109(390) 93-98, Jan 18, 2010CSCL, computer supported collaborative learning activity aims to facilitate inter-learner knowledge and skill exchange and extend learner's metacognitive skills. At the same time, CSCL can be a platform to archive and construct collective intelligence(CI)in the learner group, with possibly functional extension. In this paper, preceding papers in CSCL and NLP(natural language processing)are reviewed related to CI construction and it support. Also, future issued are pointed out to utilize CSCL research results for CI construction support.
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IEICE technical report, 107(48) 7-10, May 12, 2007This paper proposes a method to represent metadata of an e-learning material with use of RDF formal descriptive framework within case frame representation. Natural language representation of an e-learning material is analyzed with use of morphemic analysis, phrase parsing, word importance analysis and deep case analysis. The result is described with use of case frame. It clarifies the roles of words in the given sentences. In addition, this case frame description is represented with use of RDF format, which provides machine-readable and interpretable form. E-learning material search will be precise and manageable with use of the proposing method.
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Transactions of Japanese Society for Information and Systems in Education, 24(3) 202-207, 2007
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IEICE technical report, 106(35) 43-47, May 6, 2006Architecture of a set of fimctionally distributed e-learning servers is proposed. Servers automatically exchanges learning contents and learner information with use of Web-services technology. The proposing architecture provides scalability of information quantity and processing capacity of e-learning services. Workload of learner related administration will be also reduced. Learner-adaptive content re-sequencing function is also proposed. With use of the function, each learner is able to learn on learning contents which fits his learning style.
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IEICE technical report, 106(35) 13-17, May 6, 2006A learning support system is proposed, which supports meta-cognitive skill acquisition. The authors focuses on the "problem understanding" process, the initial stage of problem solution. The proposing system provides interactive functions to assist acquisition of meta-cognitive skills. The system assists a learner to acquire meta-cognitive skills of self-recognition, think-aloud, deep thinking on given problems, and application skills on similar problems. The proposing system also provides a function to treat graphic information other than text, including scanning coordinate data that a learner draws graphics. To provide interactive functions including graphic data, the system supports a learner intuitive understanding of the problem.
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IEICE technical report, 105(519) 23-28, Jan 11, 2006University needs the new competitive power in order to change to sustainable organization under changing to the aging society with fewer children, and to the global competitive society. This paper proposes the academic competitiveness model, and considers its enhancement with strategic usage of Information Technology.
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Research report of JET Conferences, 2004(1) 31-36, Jan 24, 2004
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教育システム情報学会誌 = Transactions of Japanese Society for Information and Systems in Education, 21(1) 49-53, 2004
Books and Other Publications
10Presentations
296-
International Conference on Computers in Education (ICCE), Dec 5, 2025
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ICCE 2025 LLM-Edu 2025 Workshop, Dec 2, 2025
Professional Memberships
7Research Projects
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2017 - Mar, 2021
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2015 - Mar, 2018
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2014 - Mar, 2018
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, Apr, 2013 - Mar, 2016
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Grants-in-Aid for Scientific Research, Japan Society for the Promotion of Science, 2007 - 2010
Academic Activities
6Other
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Apr, 2008 - Apr, 2008上智大学FD委員会主催のワークショップでの講演。内容は、(1)パワーポイントの使い方、(2)Moodleの利用方法、(3)授業の構成-教材・課題・議論-などについて。
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Information Fluency Class Design in Sophia University, Information Processing, Vol. 53, No.6 2012
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Information Fluency Class Design in Sophia University, Information Processing, Vol. 53, No.6 2012