Model of knowledge construction based on analysis of answering process data for mathematics online test
| Project/Area Number |
26282033
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (B)
|
| Allocation Type | Partial Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Science education
|
|---|
| Research Institution | Nagoya University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
亀田 真澄 山陽小野田市立山口東京理科大学, 工学部, 准教授 (10194995)
吉冨 賢太郎 大阪府立大学, 高等教育推進機構, 准教授 (10305609)
谷口 哲也 日本大学, 医学部, 准教授 (10383556)
深澤 謙次 呉工業高等専門学校, 自然科学系分野, 准教授 (50238440)
安武 公一 広島大学, 社会科学研究科, 准教授 (80263664)
|
|---|
| Project Period (FY) |
2014-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥14,820,000 (Direct Cost: ¥11,400,000、Indirect Cost: ¥3,420,000)
Fiscal Year 2017: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
Fiscal Year 2016: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2015: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2014: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
|
|---|
| Keywords | ｅラーニング / 科学教育 / オンラインテスト / ラーニング・アナリティクス / 数学教育 / ネットワーク科学 / 数学敎育 / 自然科学教育 / 複雑ネットワーク / Learning Analytics / ネットワーク |
|---|
| Outline of Final Research Achievements |
We conducted research on e-learning online testing for the further spread of mathematical formula automatic assessment system which has been increasingly used in recent years and the modeling of knowledge acquisition by students based on data accumulated in the system . First of all, in order to further spread the mathematical formula automatic assessment system, we improved the mathematical expression input which has been conventionally pointed out. Specifically, we have developed a mathematical expression input interface applying a flick input method that can easily input mathematical formulas in devices such as smartphones. In addition, as a model construction of knowledge acquisition, based on the answer data obtained in the online test, we proposed a mechanism for inferring students' understanding level by using Bayesian network.
|
Report
(5 results)
Research Products
(84 results)
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
[Presentation] KETCindyの開発について2015
Author(s)
高遠節夫, 阿原一志, 入谷昭, 大内俊二, 金子真隆, 北原清志, 久保康幸, 小林茂樹, 中村泰之, 西浦孝治, 野町俊文, 濱口直樹, 前田善文, 牧下英世, 松宮篤, 山下哲
Organizer
RIMS研究集会「数学ソフトウェアとその効果的教育利用に関する研究」
Place of Presentation
京都大学
Year and Date
2015-08-31
Related Report
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
