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The traditional baseball instruction strategies were mainly conducted by the instructors with oral explanation and exemplification while students had to improve their performance in athletic activities through continuous practice. During the learning process of athletic skills, students oftentimes posed less confidence due to unskilled body movement resulting in lower achievement sense. Finally, they started to reject the engagement in relevant athletic activities and even never practice anymore. Therefore, this research aimed to explore the influence on the learning motivation and the performance of athletic skills made by students in the conventionally instructive mode by introducing the Computer-Aided Design (CAD) instruction strategies of the kinect baseball learning system. Research results indicated: (1) after the kinect baseball learning system was introduced into instruction, it positively affected the learning motivation of students; (2) after the kinect baseball learning system was introduced into instruction, it positively affected the performance of athletic skills of students.

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(1972) The Learning System. A New Approach to Facilitating Learning Based on Freedom. The Future and Educational Technology. Audiovisual Instruction , Vol. 17. No. 7. (szeptember) pp. 10

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Orvosi Hetilap
Authors: Judit Lám, Viktória Sümegi, Cecília Surján, Lajos Kullmann, and Éva Belicza

WHO draft guidelines for adverse event reporting and learning systems. World Health Organization, Geneva, 2005. 5 Council Recommendation of 9 June 2009 on patient safety, including

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The paper presents the first stage of a pilot project, which aims to introduce m-learning in mechanical engineering education. Basic concepts and technological considerations are discussed first, together with presentation of technical solutions for an m-learning system. We use some basic assumptions and make fundamental decisions related to the applied educational methodology and the hardware, software and network solutions. While selecting state-of-the-art hardware (HP iPAQ Pocket PC), we choose generally applicable and available software solutions.  We also describe the specific, but highly generalised m-learning environment and its elements. The conversion of educational materials, and especially the application of subject-specific media, is discussed later in detail. We devote special attention to and show how simulation models can be applied in course materials in m-learning environments. The applied software solutions provide flexibility and long-term applicability, despite the rapidly changing technical environment.

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Mesterséges intelligencia és az e-learning: Az online oktatás jövője

Artificial Intelligence and E-learning: The Future of Online Education

Educatio
Author: Zsolt Ábrahám

. (2004) Beyond Learners Interest: Personalized Paper Recommendation Based on Their Pedagogical Features for an E-learning System. Lecture Notes in Computer Science , 3157. pp. 301

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, http://library.wolfram.com/infocenter/MathSource/823/ , accessed May 201 Mathematics in architecture, e-Learning System of the Academic Network of Serbia , http://elearning.amres.ac.rs/moodle/course/view.php?id=139

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. Mangels L. R. Squire 1996 Aneostriatal habit learning system in humans Science 273 5280 1399

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Magyar Pszichológiai Szemle
Authors: Szabolcs Kéri, György Szekeres, Nóra Bagóczky, Zoltán Janka, György Benedek, Oguz Kelemen, and Rita Erdélyi

KNOWLTON, B. J., MANGELS, J. A., SQUIRE, L. R. (1996) A neostriatal habit learning system in humans. Science 273 , 1399-1401. A neostriatal habit learning system in humans Science

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Learning System. A New Approach to Facilitating Learning Based on Freedom. The Future and Educational Technology . http://www.iirp.edu/images/pdf/92906_THE_LEARNING_SYSTEM7.pdf

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. Ind. Ergon. , 67 , 216 – 228 . [2] Harrati N. , Bouchrika I. , Tari A. , Ladjailia A. ( 2016 ), Exploring user satisfaction for e-learning

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