| Presentation | 2021-03-06 An Attempt to Estimate Learners’ States during Programming Using Biometric Information Ryota Shinhama, Erina Makihara, Syusaku Yasoda, Keiko Ono, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to develop IT human resources, higher education institutions are offering classes that include programming exercises. However, since the ratio of teachers and TAs to learners is small, it is difficult for teachers to quickly respond tolearners who are stumbling. In this study, we aim to estimate the learner's state by focusing on biometric information and programming behavior in the learner's activity log. By being able to estimate the learner's state, teachers will be able to quickly detect learners who are stumbling and provide them with guidance. For this purpose, we obtained LF/HF and the number of blinks as biometric information and investigated the relationship with stumbling. In addition, we obtained file modification history and compilation history as programming behaviors, and investigated the relationship between them and biometric information in the stumbling state. The results showed that LF/HF and the number of blinks tended to increase in some stumbling conditions. Furthermore, when there was no progress during the coding, the LF/HF fluctuated more in a short period of time and the number of blinks increased. These results indicate that biometric data and programming behavior are useful as indicators to estimate the learner's state during programming. Based on the findings in this study, if it is possible to estimate the learner's state from biometric data and programming behavior, the burden on teachers will reduce and learning efficiency will improve. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Programming education / Biometric Information / Programming behavior / Assessing learning conditions |
| Paper # | KBSE2020-39 |
| Date of Issue | 2021-02-26 (KBSE) |
| Conference Information | |
| Committee | KBSE |
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| Conference Date | 2021/3/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hiroyuki Nakagawa(Osaka Univ.) |
| Vice Chair | Takuya Saruwatari(NTT Data) |
| Secretary | Takuya Saruwatari(OKI) |
| Assistant | Shinpei Ogata(Shinshu Univ.) / Erina Nakihara(Doshisha Univ,) |
| Paper Information | |
| Registration To | Technical Committee on Knowledge-Based Software Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Attempt to Estimate Learners’ States during Programming Using Biometric Information |
| Sub Title (in English) | |
| Keyword(1) | Programming education |
| Keyword(2) | Biometric Information |
| Keyword(3) | Programming behavior |
| Keyword(4) | Assessing learning conditions |
| 1st Author's Name | Ryota Shinhama |
| 1st Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 2nd Author's Name | Erina Makihara |
| 2nd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 3rd Author's Name | Syusaku Yasoda |
| 3rd Author's Affiliation | Doshisha University(Doshisha Univ.) |
| 4th Author's Name | Keiko Ono |
| 4th Author's Affiliation | Doshisha University(Doshisha Univ.) |
| Date | 2021-03-06 |
| Paper # | KBSE2020-39 |
| Volume (vol) | vol.120 |
| Number (no) | KBSE-423 |
| Page | pp.pp.31-35(KBSE), |
| #Pages | 5 |
| Date of Issue | 2021-02-26 (KBSE) |