Development of Learning Management on Interactive Constructivist Approach in Biology Studies to Enhance Scientific Reasoning Abilities of Mathayomsuksa 5 Students

Authors

  • Saijittra Nisai Master of Education Degree, Kasetsart University
  • Wiparat Moosikajaroen Master of Education Degree, Kasetsart University
  • Nart Srilapo Master of Education Degree, Kasetsart University

Keywords:

Interactive constructivist approach, Scientific reasoning Ability

Abstract

The purposes of this research were (1) to compare the scientific reasoning abilities of Mathayomsuksa 5 Students through before and after learning activities on interactive constructivist approach in biology (2) to compare the scientific reasoning abilities of Mathayomsuksa 5 Students who passed learning activities on interactive constructivist approach in biology with a criterion of 70%. and (3) to study the students' satisfaction with learning activities on interactive constructivist approach in biology to promote the scientific reasoning abilities of Mathayomsuksa 5 Students. the sample group was 39 Mathayomsuksa 5 Students from two Mathematics-Science program classes, Thanyaburi school. the instruments in data collection consisted of based on interactive constructivist approach in biology about the circulatory system, the scientific reasoning test, and the satisfaction questionnaire for learning management base on interactive constructivist approach. percentage, mean, standard deviation, and t-test were used for analyzing data. The research findings revealed that (1) the students had scored the scientific reasoning abilities after learning higher than before learning at the .05 level of significance, (2) the students had scored the scientific reasoning abilities after learning higher than 70% at the .05 level of significance and (3) the students had a level of satisfaction with learning activities on interactive constructivist approach in biology at the most satisfactory level.

References

Azmitia, M., & Crowley, K. (2001). The rhythms of scientific thinking: A study of collaboration in an earthquake microworld. Washington, DC.: American Psychological Association.

Brown, et al. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of management information systems, 27(2), 9-54.

Chuapanich, C. (1999). Educational reform book series concepts and guidelines for teachers to support professional standards. Bangkok: Printing House of Chulalongkorn University.

Fanetti, T. M. (2011). The effect of problem-solving video games on the science reasoning skills of college students. University of Missouri-St. Louis. United States of America.

Friedler, et al. (1990). Learning scientific reasoning skills in microcomputer-based laboratories. Journal of research in science teaching, 27(1), 486-491.

Henriques. (1997). Constructivist learning and teaching. Retrieved from https://www.edu.uvic.ca/depts/snsc/temporary/cnstrct.html.

Kaewdee, W. (2005). Development of teaching-learning process based on interactive constructivist concept to promote scientific thinking and scientific presentations of secondary school students. Bangkok: Chulalongkorn University.

Kaewdang, R. (2001). Educational quality assurance: Everyone can do. Bangkok: Wattana Phanich.

Kuhn, D. (2002). What is scientific thinking and how does it develop? In U. Goswami (Ed.), Blackwell handbook of childhood cognitive development. Oxford: Blackwell Publishing.

Mahalee, K., & Fangkhamta, C. (2010). Understanding of the nature of science of Mathayom Suksa 1 students. Songklanakarin journal, 16(5), 795-809.

Ministry of Education. (2009). Basic education core curriculum 2008. Bangkok: Agricultural Cooperative Community Printing House of Thailand.

Noidee, R. (2006). Comparison of science fundamental knowledge and analytical reasoning ability science learning subject group of Mathayomsuksa 1 students. Phitsanulok: Phibunsongkhram Rajabhat University.

Pongthana, N. (2016). The effects of dispute and assessed instructional management on scientific reasoning ability and biology learning achievement of High School Students. Bangkok: Chulalongkorn University.

Sucharat, N. (2015). The development of instructional models based on the concept of model-based examination and context-based learning concepts to promote reasoning ability. science and student learning transfer Junior High School level. Bangkok: Chulalongkorn University.

Sawakngam, W. (2014). The ability to reason abilities required for 21st century learners. Journal of education, 42(2), 207.

Sandler. (2004). 1001 letters for all occasions: The best models for every business and personal need / Corey Sandler and Janice Keefe. Avon: Adams Media.

Shymansky, et al. (1998). Students’ perceptions and supervisors’ rating as assessments of interactive-constructivist science teaching in elementary School. Arlington, VA: National Science Foundation.

The Institute for the Promotion of Teaching Science and Technology. (2015). Organizing the learning of science groups basic education courses. Bangkok: Teachers Council of Thailand Printing House, Ladprao.

Yindeesug, S. (2014). Development of a social studies instructional model based on interactive constructivist approach and self-regulation to enhance critical thinking and curiosity of upper secondary School students. Bangkok: Chulalongkorn University.

Yore. (2001). What is meant by constructivist science teaching and will the science education community stay the course for meaningful reform?. Retrieved from https://www.ejse.southwestern.edu/article/view/7662/

Zeineddin, A. (2008). Scientific reasoning and epistemological commitments: coordination of theory and evidence among college science student (Doctoral dissertation). University of Illinois. United States of America.

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Published

2023-03-20

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บทความวิจัย