受賞: 2015.11.1 九州工大の野口君(元廣瀬研究室M1、現在宮野研究室M2)が若手OR研究会九州2015で最優秀賞を受賞しました。
2013.10.27 九州・
中国・
四国
地区における若手OR研究交流会2013で、「項目反応理論を用いた能力評価法の広報」(桑幡隆行君(M2))が優秀賞に選定されました 。topics1 topics2 2011.5.13 作村君(当時M2、現在D1)と
一井君(当時M1、現在M2)が火の国シンポジウムに発表した論文が情報処理学会九州支部「奨励賞」を受賞しました。論文名は「確率構造を仮定したときの推薦システムとそのアンケート評価への適用」。 photo
2010.11.12 日本計算機統計学会
第24回シンポジウムで、情報工学部大学院生の作村建紀(M2)と廣瀬英雄教授による「能力を確率変数としたときの SS モデルによる能力判定」が、学生研究発表賞を受賞しました。 photo topics1 topics2 2010.11.1 九州地区における若手OR研究交流会2010で、作村建紀君(M2)が、ロングトーク部門で「項目反応理論を使った最適能力判定システムについて」で、発表賞に選定されました 。 2010.8.25 H.
Hirose and T. Sakumura, An Accurate Ability Evaluation Method
for
Every Student with Small Problem Items Using The Item Response
Theory, Proceedings of the International Conference on Computer
and Advanced
Technology in Education (CATE 2010), pp.152-158, August 23-25 Maui,
Hawaii, USA (2010) が最優秀論文賞に選定されました
。 abstract
photo topics 2009.8.2 月原,
鈴木, 廣瀬: 項目反応理論による評価を加味した数学テストとe-learningシステムへの実装の試み, コンピュータ&エデュケーション(CIEC),
Vol.24, pp.70-76 (2008.6)が、CIEC論文賞を受賞しました。abstract photo
Full Paper:
Hideo Hirose, An Insight to Estimated Item Response Matrix in Item Response Theory, IEEE Access, Vol
11, pp.82239-82247, August 1, 2023. Abstract pdf
Hideo Hirose, Fluctuations of Ability Estimates in Testing in Item Response Theory, International Journal of Learning
Technologies and Learning Environments (IJLTLE), Vol
6, No 1, pp.1-20, October 31, 2022. Abstract pdf
Hideo Hirose, Accurate Student Ability Estimation by Removing Teacher Evaluation Bias via Full Computer Based Testing, International Journal of Learning
Technologies and Learning Environments (IJLTLE), Vol
4, No 1, pp.21-42, October 31, 2022. Abstract pdf
Hideo Hirose, Current Failure Prediction for Final Examination via Nearest Neighbor Method using Past Trends of Weekly Online Testing, International Journal of Learning
Technologies and Learning Environments (IJLTLE), Vol
4, No 1, pp.21-42, May 31, 2019. Abstract pdf
Hideo Hirose, Prediction of Success
or Failure for Examination using Nearest Neighbor Method
to the Trend of Weekly Online Testing, International
Journal of Learning Technologies and Learning Environments
(IJLTLE), Vol 2, No 1, pp.19-34, May 31, 2019. Abstract pdf
Hideo Hirose, Relationship Between Testing Time and Score in CBT, International
Journal of Learning Technologies and Learning Environments
(IJLTLE), Vol 2, No 1, pp.35-52, May 31, 2019. Abstract pdf
Hideo Hirose, Key Factor Not to Drop
Out is to Attend Lectures, Information Engineering Express,
Vol 5, No 1, pp.11-21, May 31, 2019. Abstract pdf 廣瀬:
ラーニングアナリティクス指向学習支援, コンピュータ&エデュケーション(CIEC),
Vol.45, pp.23-30 (2018.12) Abstract pdf
廣瀬 : 大規模授業支援テスティングシステムとそのラーニングアナリティクス,
統計数理, Vol.66, No.1, pp.79-96,
(2018.6) Abstract pdf
Hideo Hirose, Difference
Between Successful and Failed Students Learned from Analytics
of Weekly Learning Check Testing, Information Engineering
Express, Vol 4, No 1, pp.11-21, March 31, 2018. Abstract pdf
廣瀬 : 災害による被害拡大の予測について―感染症流行の予測を中心に―, IEICE
Fundamentals Review, Vol.10, No.4, pp.266-274,
(2017.4.3) Abstract pdf
T. Sakumura, H. Hirose,
A Bias Reduction of Abilities for Adaptive Online IRT Testing
Systems, International Journal of Smart Computing and
Artificial Intelligence (IJSCAI), Vol.1, No.1, pp.59-72,
2017.4 Abstract pdf
Hideo HIROSE, Dually
Adaptive Online IRT Testing System, Bulletin of Informatics
and Cybernetics Research Association of Statistical Sciences,
Vol.48, pp.1-17, December 2016. Abstract pdf
Hideo
HIROSE, Masakazu Tokunaga, Takenori Sakumura, Junaida Sulaiman,
Herdianti Darwis: Matrix Approach
for
the Seasonal Infectious Disease Spread Prediction, IEICE Transactions on
Fundamentals, Vol.E98-A, No.10, pp.2010-2017, Oct.1, 2015. Abstract
作村,徳永,廣瀬
: EMタイプIRTによる不完全マトリクスの完全化とその応用, 情報処理学会論文誌, 数理モデル化と応用 Vol.7
, No.2 , pp.17-26 (2014.11)Abstract
H. Hirose, T. Sakumura, T. Kuwahata,
Score allotment optimization method with application to comparison
of ability evaluation in testing between classical test theory
and item response theory, Information, Vol.17, No.
2, pp.391-410 (2014.2) Abstract pdf
H. Hirose, Validities of the Signed and
Unsigned Lecture Questionnaires Using the Item Response Theory,
US-China Education Review , Vol.1, No.5, pp.627-635 (2011.10) Abstract T. Sakumura, H. Hirose: Test evaluation
system via the Web using the item response theory, Information,
Vol.13, No.3, pp.647-656 (2010.5) Abstract H. Hirose: An optimal test design to evaluate
the ability of an examinee by using the stress-strength model, Journal
of Statistical Computation and Simulation, Vol.81, No.1,
pp. 79-87 (2011.1); first published 12/09/2009 (iFirst) DOI:10.1080/00949650903185979 Abstract 月原, 鈴木, 廣瀬: 項目反応理論による評価を加味した数学テストとe-learningシステムへの実装の試み,
コンピュータ&エデュケーション(CIEC), Vol.24, pp.70-76 (2008.6), Y. Tsukihara,
K. Suzuki, H. Hirose, A small implementation case of the mathematics
tests with the Item Response Theory evaluation into an e-learning
system, Computer & Education , Vol.24, pp.70-76 (2008.6)
Abstract 国際会議:
H.
Hirose, Analysis of Fluctuations of Ability Estimates in Testing, 10th International Conference on Learning Technologies and Learning Environments (LTLE2021), pp.148-153, July 11-16, 2021 abstract
H.
Hirose, A Relationship Between the SIR Model and the Generalized Logistic Distribution with Applications to SARS and COVID-19, 2nd International Conference on Decision Science, Theory and Management (DSTM 2021), pp.837-842, July 11-16, 2021. abstract
H.
Hirose, More Accurate Evaluation of Student's Ability Based
on A Newly Proposed Ability Equation, 9th International Conference
on Learning Technologies and Learning Environments (LTLE2020),
pp.176-182, September 1-15, 2020. abstract
H. Hirose, Current Failure Prediction for
Final Examination using Past Trends of Weekly Online Testing,
9th International Conference on Learning Technologies and Learning
Environments (LTLE2020), pp.142-148, September 1-15, 2020. abstract
H.
Hirose, Success/Failure Prediction for Final Examination using
the Trend of Weekly Online Testing, 7th International Conference
on Learning Technologies and Learning Environments (LTLE2018),
pp.139-145, July 8-12, 2018. abstract
H. Hirose, Attendance to Lectures is Crucial
in Order Not to Drop Out, 7th International Conference on Learning
Technologies and Learning Environments (LTLE2018), pp.194-198,
July 8-12, 2018. abstract
H. Hirose, Time Duration Statistics Spent
for Tackling Online Testing, 7th International Conference on
Learning Technologies and Learning Environments (LTLE2018),
pp.221-225, July 8-12, 2018. abstract
H.
Hirose, M. Takatou, Y. Yamauchi, T. Taniguchi, F. Kubo, M.
Imaoka, T. Koyama, Rediscovery of Initial Habituation Importance
Learned from Analytics of Learning Check Testing in Mathematics
for Undergraduate Students, 6th International Conference on
Learning Technologies and Learning Environments (LTLE2017),
pp.482-486, July 9-13, 2017.abstract
Hideo
Hirose, An Accurate Estimation Method for Abilities in Online
Adaptive Testing Based on Item Response Theory, The Seventh
Asian Conference
on Psychology & the Behavioral Sciences (ACP2017), pp.113-124, March 22-25,
2017, Kobe.abstract
Hideo
Hirose, Meticulous Learning Follow-up Systems for Undergraduate
Students Using the Online Item Response Theory, 5th International
Conference on Learning Technologies and Learning Environments
(LTLE2016), pp.427-432, July 10-14, 2016, Kumamoto, Japan. abstract
H. Hirose, M. Takatou, Y. Yamauchi, T.
Taniguchi, T. Honda, F. Kubo, M. Imaoka, T. Koyama, Questions
and Answers Database Construction for Adaptive Online IRT Testing
Systems: Analysis Course and Linear Algebra Course, 5th International
Conference on Learning Technologies and Learning Environments
(LTLE2016), pp.433-438, July 10-14, 2016, Kumamoto, Japan. abstract
Hideo Hirose, Learning Analytics to Adaptive
Online IRT Testing Systems ``Ai Arutte'' Harmonized with University
Textbooks, 5th International Conference on Learning Technologies
and Learning Environments (LTLE2016), pp.439-444, July 10-14,
2016, Kumamoto, Japan. abstract
Y. Tokusada, H. Hirose, Evaluation of Abilities
by Grouping for Small IRT Testing Systems, 5th International
Conference on Learning Technologies and Learning Environments
(LTLE2016), pp.445-449, July 10-14, 2016, Kumamoto, Japan. abstract
T. Sakumura, H. Hirose, Bias Reduction
of Abilities for Adaptive Online IRT Testing Systems, 5th International
Conference on Learning Technologies and Learning Environments
(LTLE2016), pp.450-455, July 10-14, 2016, Kumamoto, Japan. abstract
Yoshiko Tokusada, Hideo Hirose, Dually Adaptive
Online IRT Testing System to the Large Scale Data, 2nd International
Symposium on Applied Engineering and
Sciences (SAES2014), December 20-21, 2014, Fukuoka. abstract
Hirose,
Hideo; Aizawa, Yu, Automatically Growing Dually Adaptive Online
IRT Testing System, IEEE International Conference on Teaching,
Assessment, and Learning for Engineering 2014 (TALE 2014), 5C_5,
pp.528-533, December 8-10, 2014, Te Papa Tongarewa National Museum
of New Zealand, Wellington, New Zealand. abstract
Hirose, Hideo; Tokusada, Yoshiko; Noguchi,
Kazuhisa, Dually Adaptive Online IRT Testing System with Application
to High-School Mathematics Testing Case, IEEE International Conference
on Teaching, Assessment, and Learning for Engineering 2014 (TALE
2014), 6B_1, pp.447-452, December 8-10, 2014, Te Papa Tongarewa
National Museum of New Zealand, Wellington, New Zealand. abstract
Hideo Hirose and Yoshiko Tokusada, A Simulation
Study to the Dually Adaptive Online IRT Testing System, IEEE
International Conference on Teaching, Assessment, and Learning
for Engineering 2014 (TALE 2014), 8E_3, pp.97-102, December 8-10,
2014, Te Papa Tongarewa National Museum of New Zealand, Wellington,
New Zealand. abstract
H. Hirose, M. Tokunaga, T. Sakumura, J. Sulaiman,
H. Darwis, Matrix Approach for the Seasonal Infectious Disease
Spread Prediction, 6th Asia-Pacific International Symposium on
Advanced Reliability and Maintenance Modeling (APARM 2014), pp.137-144, August
21-23, 2014, Sapporo, Japan (2014). abstract H. Hirose, Comparison of Ability Evaluation
in Testing between the Classical Test Theory and the Item Response
Theory, The 11th Annual Hawaii International Conference on Education,
pp.2955-2967, January 6 - 9,
2013, Hawaii, USA, abstract H. Hirose, T. Sakumura, Item Response Prediction
for Incomplete Response Matrix Using the EM-type Item Response
Theory with Application to Adaptive Online Ability Evaluation
System, IEEE
International Conference on Teaching, Assessment, and Learning
for Engineering 2012 (TALE 2012), pp.8-12,
August 20-23, 2012, The Hong Kong Polytechnic University, Hong
Kong. abstract T.
Sakumura, T. Kuwahata and H. Hirose, An Adaptive Online Ability
Evaluation System Using the Item Response
Theory, Education& e-Learning (EeL2011), pp.51-54, November
7-8, 2011,
Singapore. abstract H. Hirose, Validities of The Signed and
Unsigned Lecture Questionnaires using the Item Response Theory,
The 9th Annual Hawaii International Conference on Education,
pp.1914-1922, January 4 - 7, 2011, Hawaii, USA, abstract T. Sakumura and H. Hirose, Student Ability
Evaluation using the Stress-Strength Model When Ability is the
Random Variable, Proceedings of the 2010 International Congress
on Computer Applications and Computational Science (CACS 2010),
pp.865-868, December 4-6, 2010, Singapore (2010). abstract H. Hirose and T. Sakumura, An Accurate Ability
Evaluation Method for Every Student with Small Problem Items
Using The Item Response Theory, Proceedings of the International
Conference on Computer and Advanced TEchnology in Education
(CATE 2010), pp.152-158, August 23-25 Maui, Hawaii, USA (2010). Awarded
the
Best Paper. abstract T. Sakumura and H. Hirose : Test Evaluation
System via Web using the Item Response Theory, "The
Fifth International Conference on Information" INFO2009,
pp.112-115, November 6-9, 2009, Kyoto University, Kyoto , Japan abstract 招待論文、解説: 廣瀬:2011年 統計検定2級・3級試験結果の分析 ―項目反応理論による解析―(第5章)、pp.59-75,
統計教育の質保証と検定問題の分析(研究叢書)、統計教育大学間連携ネットワーク(略称 JINSE : Japanese Inter-university
Network for Statistical Education)、2013.4 研究会: 廣瀬:大規模ラーニングシステムから得られるアナリティクスが真の評価に迫る:学生の習熟度評価への教員バイアスと確率的変動の関係,
OR学会中国四国支部講演(2020.12.19,
令和2.12.19), Zoom Live配信 < ==(2020.3.28, 令和2.3.28), 県立広島大学サテライトキャンパスひろしま 招待講演
廣瀬, 理工系大学の新入生全員を対象にした4年間のオンラインテストの実際〜CBTのPros & Cons,
第18回統計教育方法論WS・理数系教員授業力向上研修オンラインセッション
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