Relationship Between Private Tutoring And Mathematics Achievement
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Abstract
Abstract. This study aims to shed light on the association between private tutoring and academic achievement in mathematics among primary school students in Qatar. Utilizing data from the Trends in International Mathematics and Science Study (TIMSS) 2019, we employ a propensity score technique to elucidate the disparities in mathematics achievement levels between two distinct groups: students who receive private tutoring and those who do not. Our findings indicate that students who engage in private tutoring have lower odds of attaining higher achievement scores in mathematics.
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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