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| 論文名稱 | 建構個人音樂環境在提升數學學習能力之影響 |
| 研討會開始日期 | 2017-11-17 |
| 研討會結束日期 | 2017-11-17 |
| 所有作者 | 楊雄斌, 梁丁文, 吳志峰, 戴莉蓁 |
| 作者順序 | 第一作者 |
| 通訊作者 | 是 |
| 研討會名稱 | 2017 AII 研討會 |
| 是否具有對外公開徵稿及審稿制度 | 是 |
| 研討會舉行之國家 | NATTWN-中華民國 |
| 研討會舉行之城市 | 勤益大學 |
| 發表年份 | 2011 |
| 所屬計劃案 | 吳 |
| 可公開文檔 |
|
| 可公開文檔 | |
| 可公開文檔 | |
| 附件 |
2017論文.docx
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[摘要] :
數學學習成效與學生之數學理解能力與專注度有很大的關係，但因每個人在思考數學時的腦波有差異化，所以本研究提出遺傳演算法以自動方式找出每位學習者在數學理解力與專注力的腦波的變化率權重關係，另本研究藉此個人腦波的權重關係，完成一個自動點選與篩選背景音樂的系統，透過這個系統可以自動判讀哪一個背景音樂可以有效提升個人數學理解力與專注力等，此個人化背景音樂將有助於訓練學習者提升數學理解力，並探討腦波影響學習數學理解力的程度。
[參考文獻] :
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[2]. Lin, Y. P., Wang, C. H., Wu, T. L., Jeng, S. K., & Chen, J. H. " EEG-based emotion recognition in music listening " : A comparison of schemes for multiclass support vector machine. In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on (pp. 489-492). IEEE, 2009.
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[5]. Murugappan, M., Nagarajan, R., & Yaacob, S. "Comparison of different wavelet features from EEG signals for classifying human emotions ". InIndustrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on(Vol. 2, pp. 836-841). IEEE, 2009.
[6]. Pfurtscheller, G., and Klimesch, W. “Functional topography during a visuoverbal judgment task studied with event-related desynchronization mapping,” Journal of Clinical Neurophysiology (9:1), 1992, pp. 120-131.
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