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Analysis of the Effects of Smartification of the Schools on the Biology Learning of Students in the First Grade of High School

Received: 8 November 2016    Accepted: 30 November 2016    Published: 3 January 2017
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Abstract

Since biology is one of the basic courses which requires deep conceptual understanding, teaching it in the usual way \ has been faced with challenges. On the other hand, smart schooling is recommended as the best pattern for the technology and information development in education. This research aims to analyze the effects of smartifying the schools on students’ biology learning in the first grade of high school. The method applied is semi-trial with test and control groups. This research uses cluster random sampling among the high schools in Kermanshah. The first grade students of two classes with traditional education system and two classes with smart education system were selected. The sample size included 100 students divided by half into the test and control groups. The independent variable is the smart schools, and the dependent variable is learning. Chapter VIII content of the Biology Course was presented to both groups via traditional and smart methods. The applied tool was researcher-made learning examination, implemented in two phases (pre-test and post-test) on the groups. The results were analyzed via independent t-test in SPSS. The difference between the pre-test and post-test scores for both control and test groups reveals that there’s a significant difference between the two groups; the mean score is higher in the test group.

Published in Education Journal (Volume 6, Issue 1)
DOI 10.11648/j.edu.20170601.11
Page(s) 1-4
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Smartification, Learning, Traditional Schools, Smart Schools, Biology

References
[1] Dayizade, H. Shamnif, F. Hosseini Rowkesh, S. A. 2012. The Effects of Educational Software Applications on the Improvement of Learning Basic Skills in Art Courses. The quarterly Magazine of ICT in Educational Sciences. 1: 27-43.
[2] Tully, L. 1997. Technology façade. Boston: Allyn& Bakon
[3] Fazelian, P. Nazari, M. 2014. Effects of Smart Schooling and English Teaching-Learning. Amoozesh Zaban Magazine. 4: 12-17.
[4] Dalir Naaser, N. Hosseini Nasab, D. 2015. Comparative Study of Education Progress and Achievement Motivation in Elementary Students of Traditional and Smart Schools in Tabriz. Scientific Research Magazine of Amoozesh va Arzeshyabi. 29: 31-42.
[5] Zaameni, F. Kardan, S. 2010. Effects of ICT Application to Math Learning. The Quarterly Magazine of Etela’aat and Ertebataat dar Olume Tarbiaty. 1: 24-38.
[6] Turan B. 2014. Smart Board İn Mathematics Education, The Use Of Cartoon Characters İmpact On Student Success, Social and Behavioral Sciences, NO 143, PP: 809 – 815.
[7] f Piccoli G. 2001. Web-Based Virtual Learning Environments, MIS Quarterly. Steinmay R.. Spinath.
[8] Khan F. Masood M. 2014. The Effectiveness of an Interactive Multimedia Courseware with Cooperative Mastery Approach in Enhancing Higher Order Thinking Skills in Learning Cellular Respiration, ocial and Behavioral Sciences, NO 176, PP: 977 – 984.
[9] Wighting MJ. 2006. Effects of computer use on high school students' sense of ommunity. The Journal of Educational Research, VO 99, NO 6, PP: 371-379.
[10] Rafiee, M. 2015. Analysis of smartifying schools on elementary students’ learning in Bandar Abbas district 1. M. A. Dissertation. Azad University of Bandar Abbas, Management and Accounting Department.
[11] Spears AY. 2011. Investigating SMARTBoard technology for mathematics education to improve the learning of digital native students. ProQuest Dissertations and Theses, Lindenwold University.
[12] Atkinson S. 2004. Using Information and communication Technology in a modular Distance Learning Course, European journal of Engineering Education, Vol 3, NO, PP: 23-45.
[13] Zarei Zavaraki, A. Gharibi, F. 2012. Effects of Multimedia Education on Math Learning and Teaching for Mentally Retarded Female Students in Fourth Grade in Araak. Quarterly Magazine of Ravaanshenasi Afraade Estesnayie. 5: 1-19.
[14] Adib, Y. Raad Soleimani, L. Azimi, M. 2015. The Effects of Smart Schooling in Interaction Regarding ICT on Improvement of Teaching, Learning and Self-efficacy. Quarterly Magazine of Scientific Research of a New Approach to Education Management. 1: 21-42.
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  • APA Style

    Farzaneh Salehipour, Maryam Bohlouli. (2017). Analysis of the Effects of Smartification of the Schools on the Biology Learning of Students in the First Grade of High School. Education Journal, 6(1), 1-4. https://doi.org/10.11648/j.edu.20170601.11

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    ACS Style

    Farzaneh Salehipour; Maryam Bohlouli. Analysis of the Effects of Smartification of the Schools on the Biology Learning of Students in the First Grade of High School. Educ. J. 2017, 6(1), 1-4. doi: 10.11648/j.edu.20170601.11

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    AMA Style

    Farzaneh Salehipour, Maryam Bohlouli. Analysis of the Effects of Smartification of the Schools on the Biology Learning of Students in the First Grade of High School. Educ J. 2017;6(1):1-4. doi: 10.11648/j.edu.20170601.11

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  • @article{10.11648/j.edu.20170601.11,
      author = {Farzaneh Salehipour and Maryam Bohlouli},
      title = {Analysis of the Effects of Smartification of the Schools on the Biology Learning of Students in the First Grade of High School},
      journal = {Education Journal},
      volume = {6},
      number = {1},
      pages = {1-4},
      doi = {10.11648/j.edu.20170601.11},
      url = {https://doi.org/10.11648/j.edu.20170601.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20170601.11},
      abstract = {Since biology is one of the basic courses which requires deep conceptual understanding, teaching it in the usual way \ has been faced with challenges. On the other hand, smart schooling is recommended as the best pattern for the technology and information development in education. This research aims to analyze the effects of smartifying the schools on students’ biology learning in the first grade of high school. The method applied is semi-trial with test and control groups. This research uses cluster random sampling among the high schools in Kermanshah. The first grade students of two classes with traditional education system and two classes with smart education system were selected. The sample size included 100 students divided by half into the test and control groups. The independent variable is the smart schools, and the dependent variable is learning. Chapter VIII content of the Biology Course was presented to both groups via traditional and smart methods. The applied tool was researcher-made learning examination, implemented in two phases (pre-test and post-test) on the groups. The results were analyzed via independent t-test in SPSS. The difference between the pre-test and post-test scores for both control and test groups reveals that there’s a significant difference between the two groups; the mean score is higher in the test group.},
     year = {2017}
    }
    

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    AB  - Since biology is one of the basic courses which requires deep conceptual understanding, teaching it in the usual way \ has been faced with challenges. On the other hand, smart schooling is recommended as the best pattern for the technology and information development in education. This research aims to analyze the effects of smartifying the schools on students’ biology learning in the first grade of high school. The method applied is semi-trial with test and control groups. This research uses cluster random sampling among the high schools in Kermanshah. The first grade students of two classes with traditional education system and two classes with smart education system were selected. The sample size included 100 students divided by half into the test and control groups. The independent variable is the smart schools, and the dependent variable is learning. Chapter VIII content of the Biology Course was presented to both groups via traditional and smart methods. The applied tool was researcher-made learning examination, implemented in two phases (pre-test and post-test) on the groups. The results were analyzed via independent t-test in SPSS. The difference between the pre-test and post-test scores for both control and test groups reveals that there’s a significant difference between the two groups; the mean score is higher in the test group.
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Author Information
  • Department of Humanities, Doroud Branch, Islamic Azad University, Doroud, Iran

  • Department of Humanities, Doroud Branch, Islamic Azad University, Doroud, Iran

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