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Home tuition learning often leads to enhanced motivation and engagement among students. The personalized attention and encouragement from tutors boost students' confidence and self-esteem, motivating them to put in their best effort and achieve academic success. Additionally, the ability to progress at their own pace and receive recognition for their achievements instills a sense of pride and satisfaction, fueling further motivation and dedication towards their studies.
Y. LeCun, F. Huang, and L. Bottou. Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings
of the 2004 IEEE Computer Society Conference on, 2, page II-97--104 Vol.2. (2004)
A. Harrer, R. Hever, and S. Ziebarth. Artificial Intelligence in Education - Building Technology Rich Learning Contexts that Work, 158, page 503-510. Amsterdam, IOS Press, (2007)
J. Moskaliuk, J. Kimmerle, and U. Cress. Proceedings of the International Conference of the Learning Sciences 2008(Bd. 2, S. 99-106). Utrecht, The Netherlands: International Society of the Learning Sciences, page 99-106. (2008)
C. Cattuto, D. Benz, A. Hotho, and G. Stumme. Proceedings of the 3rd Workshop on Ontology Learning and Population (OLP3), page 39--43. Patras, Greece, (July 2008)
Y. Kali, R. Levin-Peled, and Y. Dori. Computers in Human Behavior, 25 (5):
1067 - 1078(2009)Including the Special Issue: Design Patterns for Augmenting E-Learning Experiences.
M. Mawdesley, G. Long, S. Al-Jibouri, D. Scott, and J. Gribble. SAGSET 2008 - 38th Annual Conference: "Teaching and Learning through Gaming and Simulation, July 17-18, 2008, Nottingham University Business School, UK, (2008)
M. Derntl, and R. Motschnig-Pitrik. Proceedings of the 14th International Conference of the Society for Information Technology & Teacher Education (SITE03), page 2379-2382. Albuquerque, New Mexico, USA, (2003)
E. Navarro, and A. van der Hoek. CATEâ04: Proceedings of the 7th IASTED International Conference on Computers and Advanced Technology in Education, (2004)
H. Drachsler, H. Hummel, and R. Koper. RecSys '08: Proceedings of the 2008 ACM conference on Recommender systems, page 303--306. New York, NY, USA, ACM, (2008)
F. Lemmerich, and M. Atzmueller. Proc. LeGo-09: From Local Patterns to Global Models, Workshop at the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (2009)accepted.
M. Feuer, L. Towne, and R. Shavelson. Educational Researcher, 31 (8):
4(2002)“For example, when well-specified causal hypotheses can be formulated and randomization to treatment and control conditions is ethical and feasible, a randomized experiment is the best method for estimating effects” p. 8.
W. Schenck, and R. Möller. chapter Staged Learning of Saccadic Eye Movements with a Robot Camera Head, page 82-91. World Scientific, New Jersey, London, (2004)