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      The effect of using smart learning and online teaching strategies in motivating students to study sciences at Bethlehem University

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            Abstract

            Due to the advancement in today’s world technology and the challenges faced by Covoid-19 during which face to face teaching and learning became difficult to attain. Thus the need arose to utilize online modern technologies and smart learning techniques to carry out the teaching and learning missions. The social media has also played a major factor in spreading out information among students and teachers on smart learning tools, software and online applications which provided large means for accomplishing the desired tasks in teaching and learning indifferent areas including multimedia, programming, web development, and the various domains of natural sciences. This study was intended specifically to examine the influence of online teaching and smart learning on motivating students learning in the different disciplines of the Faculty of science. The survey was completed by 60 science students and it showed that there is no statistically significant correlation between students using online studying and online smart learning with high motivation.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            6 October 2022
            Affiliations
            [1 ] Software Engineering,Bethlehem University. 9 Freres Street, Bethlehem, Palestine
            [2 ] Computational Sciences & Engineering, Bethlehem University, 9 Freres Street, Bethlehem, Palestine
            [3 ] Arts, Palestine Ahliya University, Bethlehem, Palestine
            Author notes
            Author information
            https://orcid.org/0000-0001-8932-9619
            Article
            10.14293/S2199-1006.1.SOR-.PPKCBAJ.v1
            b3bf6c26-fda0-41b1-8d5d-06729ac6a23f

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 6 October 2022

            The datasets generated during and/or analysed during the current study are available in the repository: https://docs.google.com/spreadsheets/d/1_6xx256CHhAvsfz4DVXPlBMiSixNI23sPZ-r_54Sz7E/edit?usp=sharing, https://drive.google.com/file/d/1RBI0i8iztSqD_78q7NVS7C-hD_XFy8TB/view?usp=sharing
            Education,Computer science,Physics

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