Creating Conducive Environment on Learning Math in Tetriary Education

Abstract

This study aims to create Basics Mathematics teaching materials for students who are assisted by online learning media called photomath android. Thus, it also aims to observe class environment created using this media. This research uses mixed method in which classes are given optimal treatment from aspects of personalization, involvement, intimacy, satisfaction, assignments, competition, innovation, individualization, source adequacy, and physical comfort. There is a significant difference between actual and preferred climate in the class. The treatments are carried out to improve the class environment in accordance with their respective indicators. The lecturer earnestly intervenes in improving the actual class environment like what students want (preferred). It shows that there are significant changes from the pre-test of actual class environment to its post-test which is better to bring the preferred class environment is much closer. The intervancy of the class environment resulted in the post-test was incerased to be 83%.

Keywords

Creating Conducive Environment , online learning media

References

  • [1] Z. Wu, A. Ahlström, B. Smith, J. Ardö, and L. Eklundh, “Climate data induced uncertainty in model-based estimations of terrestrial primary productivity Climate data induced uncertainty in model-based estimations of terrestrial primary productivity,” 2017.
  • [2] A. U. Khan, J. Jiang, P. Wang, and Y. Zheng, “Influence of watershed topographic and socio- economic attributes on the climate sensitivity of global river water quality Influence of watershed topographic and socio-economic attributes on the climate sensitivity of global river water quality,” 2017.
  • [3] J. Kalin, C. Peklaj, S. Pečjak, M. P. Levpušček, and M. V. Zuljan, “Elementary and Secondary School Students ’ Perceptions of Teachers ’ Classroom Management Competencies Pogledi učencev osnovnih in srednjih šol na učiteljeve kompetence vodenja razreda,” vol. 7, pp. 37–62, 2017.
  • [4] A. Grundstein, J. Durkee, J. Frye, T. Andersen, and J. Lieberman, “A Severe Weather Laboratory Exercise for an Introductory Weather and Climate Class Using Active Learning Techniques,” vol. 30, pp. 22–30, 2011.
  • [5] K. S. Mcneal, J. M. Spry, R. Mitra, and J. L. Tipton, “Measuring Student Engagement , Knowledge , and Perceptions of Climate Change in an Introductory Environmental Geology Course,” vol. 667, pp. 655–667, 2014.
  • [6] V. Damme, D. Fraine, V. Landeghem, and D. Fraine, “Factors affecting Mathematics achievement of first-year secondary school students in Central Uganda,” vol. 35, no. 3, pp. 1–16, 2015.
  • [7] H. Terry, “Teacher Creativity and School Climate,” vol. 226, no. Icss, pp. 708–710, 2018.
  • [8] “Advances in Social Science, Education and Humanities Research (ASSEHR), volume 158 International Conference on Teacher Training and Education 2017 (ICTTE 2017),” vol. 158, no. Ictte, pp. 583–588, 2017.
  • [9] R. Utari and M. Sutapa, “The Differences of Emphasis Among Teachers , Students and Parents Concerning School Climate,” vol. 14, pp. 406–411, 2016.
  • [10] J. X. Li and Y. Qi, “An Evaluation of Classroom Climate in the Computer-assisted Language Teaching,” no. Itms, 2015.
  • [11] R. Kramer, H. Schellen, and J. Van Schijndel, “Energy impact of ASHRAE ’ s museum climate classes : a simulation study on four museums with different quality of envelopes,” Energy Procedia, vol. 78, pp. 1317–1322, 2015.
  • [12] R. P. Kramer, H. L. Schellen, and A. W. M. Van Schijndel, “Impact of ASHRAE ’ s museum climate classes on energy consumption and indoor climate fluctuations : Full-scale measurements in museum Hermitage Amsterdam,” Energy Build., vol. 130, pp. 286–294, 2016.
  • [13] S. Alm and S. B. Låftman, “Children and Youth Services Review Future orientation climate in the school class : Relations to adolescent delinquency , heavy alcohol use , and internalizing problems,” Child. Youth Serv. Rev., vol. 70, pp. 324–331, 2016.
  • [14] S. Tram and O. Madsen, “ScienceDirect ScienceDirect ScienceDirect ScienceDirect Commissioning Learning Platform Manufacturing A models for capacity optimization Trade-off,” Procedia Manuf., vol. 23, no. 2017, pp. 93–98, 2018.
  • [15] S. Syahril and H. Hadiyanto, “Improving School Climate for Better Quality Educational Management,” J. Educ. Learn. Stud., vol. 1, no. 1, pp. 16–22, 2019.
  • [16] S. H. I. Dequan, “Study on Effect of Mixing Process on Green Sand Properties Based on Orthogonal Experimental Method,” no. Mems, pp. 693–696, 2012.
  • [17] A. Hasan, Rochmadi, H. Sulistyo, and S. Honggokusumo, “Rubber mixing process and its relationship with bound rubber and crosslink density,” IOP Conf. Ser. Mater. Sci. Eng., vol. 213, no. 1, 2017.
  • [18] C. Series, “The Significant Effects of Communication Activities in the Co-Curricular Towards Reducing Shyness Amongst Elementary School Children The Significant Effects of Communication Activities in the Co- Curricular Towards Reducing Shyness Amongst Elementary Scho,” 2018.
  • [19] W. Wahyu and R. S. Syaadah, “The Effectiveness of Problem-Based Learning Approach Based on Multiple Intelligences in Terms of Student ’ s Achievement , Mathematical Connection Ability , and Self-Esteem The Effectiveness of Problem-Based Learning Approach Based on Multiple Intelligenc.”

DOI : https://doi.org/10.32698//tech1315177