Quantum Threat in Education

Main Article Content

Ali Alizoti

Abstract

This paper discusses the introduction of quantum ideas in general physics and education. Considering the fragile environment of physics education, the paper suggests three possible ways to help teaching and learning of quantum physics, (1) quantum metrics (2) simple experiments demonstrating quantum quantities (3) fractal and quantum analogies between worlds. From this perspective, this paper is also meant to be a test indicator of quantum popularity in physics and education.

Downloads

Download data is not yet available.

Article Details

Section
Articles

References

Asaad, R., & Ali, R. (2019). Back Propagation Neural Network(BPNN) and Sigmoid Activation Function in Multi-Layer Networks.Academic Journal Of Nawroz University,8(4), 216. doi: 10.25007/ajnu.v8n4a464.[2] Zhang C., Zhang Z.A, (2010). Survey of Recent Advances in Face Detection.Microsoft Corporation; Albuquerque, NM, USA. TechReport, No. MSR-TR-2010-66.[3] 3.Ekman P., Friesen W., Hager J.(2002). Facial Action Coding System: The Manual on CD ROM.A Human Face; Salt Lake City, UT, USA.[4] Li, M., Zang, S., Zhang, B., Li, S., & Wu, C. (2014). A review of remote sensing image classification techniques: The role of spatial-contextual information.European Journal of Remote Sensing,47(1), 389-411.[5] Kwon, O. W., Chan, K., Hao, J., & Lee, T. W. (2003). Emotion recognition by speech signals. InEighth European Conference on Speech Communication and Technology.[6] Schuller, B., Rigoll, G., & Lang, M. (2003, April). Hidden Markov model-based speech emotion recognition. In2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03).(Vol. 2, pp. II-1). IEEE.[7] El Ayadi, M., Kamel, M. S., & Karray, F. (2011). Survey on speech emotion recognition: Features, classification schemes, and databases.Pattern Recognition,44(3), 572-587.[8] Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., & Taylor, J. G. (2001). Emotion recognition in human-computer interaction.IEEE Signal processing magazine,18(1), 32-80.[9] Nwe, T. L., Foo, S. W., & De Silva, L. C. (2003). Speech emotion recognition using hidden Markov models.Speech communication,41(4), 603-623.[10] Busso, C., Lee, S., & Narayanan, S. (2009). Analysis of emotionally salient aspects of fundamental frequency for emotion detection.IEEE transactions on audio, speech, and language processing,17(4), 582-596