| dc.contributor | 資科系 | - |
| dc.creator (作者) | Li, Tsai-yen | - |
| dc.creator (作者) | 李蔡彥 | zh_TW |
| dc.creator (作者) | Chang, Chun-yen | en_US |
| dc.creator (作者) | Wang, Hao-chuan | en_US |
| dc.date (日期) | 2008 | - |
| dc.date.accessioned | 8-May-2015 16:08:43 (UTC+8) | - |
| dc.date.available | 8-May-2015 16:08:43 (UTC+8) | - |
| dc.date.issued (上傳時間) | 8-May-2015 16:08:43 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75061 | - |
| dc.description.abstract (摘要) | The work aims to improve the assessment of creative problem-solving in science education by employing language tech- nologies and computational-statistical machine learning methods to grade students` natural language responses automat- ically. To evaluate constructs like creative problem-solving with validity, open-ended questions that elicit students` constructed responses are beneficial. But the high cost required in manually grading constructed responses could become an obstacle in applying open-ended questions. In this study, automated grading schemes have been developed and evalu- ated in the context of secondary Earth science education. Empirical evaluations revealed that the automated grading schemes may reliably identify domain concepts embedded in students` natural language responses with satisfactory inter-coder agreement against human coding in two sub-tasks of the test (Cohen`s Kappa = .65-.72). And when a single holistic score was computed for each student, machine-generated scores achieved high inter-rater reliability against human grading (Pearson`s r = .92). The reliable performance in automatic concept identification and numeric grading demon- strates the potential of using automated grading to support the use of open-ended questions in science assessments and enable new technologies for science learning. | - |
| dc.format.extent | 399032 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | Computers & Education , vol. 51, no. 4, pp. 1450-1466 | - |
| dc.subject (關鍵詞) | Computer-aided assessment; Automated grading; Creative problem-solving; Science learning assessment; Machine learning application | - |
| dc.title (題名) | Assessing creative problem-solving with automated text grading | - |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/j.compedu.2008.01.006 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/j.compedu.2008.01.006 | - |
