Understanding the Unending Learning Language Technique

Authors

  • Takudzwa Fadziso Chinhoyi University of Technology

DOI:

https://doi.org/10.18034/ajhal.v4i2.560

Keywords:

Never-ending learning language, knowledge base, Human learning

Abstract

Human beings learn different things from their experiences in life, beginning from when they were born to this planet and they keep improving as the day goes by. Though, machine learning techniques are becoming more useful in all areas of life, just like human beings. As such, humans instead learn many functions cumulatively while they are learning a single one. The goal of this research is to determine what motivates learners to learn. The data was qualitative. This research involves collecting data from libraries, reading, recording, and processing library collection materials without conducting any field research. This research presents reasons based on a literature review and on the researcher's thoughts about learning a second language. This supports discussions on factors influencing learners' language learning. The research found that there are four factors in the education process that influence language teaching and learning, these factors include curriculum, institution, teacher, and students. It can be deduced from the theory that in teaching and learning language as a category, not only focus on teacher and student factors but also other factors are relevant and affect each other to reach the learning goal. So understanding the four factors are critical in developing an effective language learning design. Effective learning language process creation is necessary to obtain synergy and maximum preparation of all the significant elements. The process in our educational environment will get us where we want to be.

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Author Biography

  • Takudzwa Fadziso, Chinhoyi University of Technology

    Institute of Lifelong Learning and Development Studies, Chinhoyi University of Technology, ZIMBABWE

References

Ganapathy, A. (2015). AI Fitness Checks, Maintenance and Monitoring on Systems Managing Content & Data: A Study on CMS World. Malaysian Journal of Medical and Biological Research, 2(2), 113-118. https://doi.org/10.18034/mjmbr.v2i2.553

Ganapathy, A. (2016). Speech Emotion Recognition Using Deep Learning Techniques. ABC Journal of Advanced Research, 5(2), 113-122. https://doi.org/10.18034/abcjar.v5i2.550

Ganapathy, A. (2017). Friendly URLs in the CMS and Power of Global Ranking with Crawlers with Added Security. Engineering International, 5(2), 87-96. https://doi.org/10.18034/ei.v5i2.541

Movva, L., Kurra, C., Koteswara Rao, G., Battula, R. B., Sridhar, M., & Harish, P. (2012). Underwater Acoustic Sensor Networks: A Survey on MAC and Routing Protocols. International Journal of Computer Technology and Applications, 3(3).

Neogy, T. K., & Paruchuri, H. (2014). Machine Learning as a New Search Engine Interface: An Overview. Engineering International, 2(2), 103-112. https://doi.org/10.18034/ei.v2i2.539

Paruchuri, H. (2015). Application of Artificial Neural Network to ANPR: An Overview. ABC Journal of Advanced Research, 4(2), 143-152. https://doi.org/10.18034/abcjar.v4i2.549

Paruchuri, H. (2017). Credit Card Fraud Detection using Machine Learning: A Systematic Literature Review. ABC Journal of Advanced Research, 6(2), 113-120. https://doi.org/10.18034/abcjar.v6i2.547

Ujwala, D., Ram Kiran, D. S., Jyothi, B., Fathima, S. S., Paruchuri, H., Koushik, Y. M. S. R. (2012). A Parametric Study on Impedance Matching of A CPW Fed T-shaped UWB Antenna. International Journal of Soft Computing and Engineering, 2(2), 433-436.

Vadlamudi, S. (2015). Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion. Engineering International, 3(2), 105-114. https://doi.org/10.18034/ei.v3i2.519

Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms? Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520

Vadlamudi, S. (2017). Stock Market Prediction using Machine Learning: A Systematic Literature Review. American Journal of Trade and Policy, 4(3), 123-128. https://doi.org/10.18034/ajtp.v4i3.521

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Published

2017-12-31

Issue

Section

Peer-reviewed Article

How to Cite

Fadziso, T. . (2017). Understanding the Unending Learning Language Technique. Asian Journal of Humanity, Art and Literature, 4(2), 141-146. https://doi.org/10.18034/ajhal.v4i2.560