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Effect of Physical Modeling and Computer Animation Implemented with Social Constructivist Instruction on Understanding of Human Reproductive System

5 pagesPublished: February 12, 2020

Abstract

Purpose of the study, was to compare effectiveness of the physical modeling and computer animation implemented with social constructivist and traditionally designed instruction on 10th grade students’ understanding of human reproductive system, motivation to- wards learning biology and types of achievement goal orientation. Design of the study was quasi-experimental with 125 students from six intact classes in a private high school in Ankara. Three groups for both experimental and controlled groups were randomly as- signed. Students in experimental and control group were exposed to computer animation and physical modeling implemented with social constructivist instruction and traditionally designed biology instruction with respectively.
Results of MANOVA indicated that experimental group showed significantly better acquisition of the scientific concepts and higher motivation towards biology learning than traditionally designed biology instruction. Analysis of ANCOVA showed that students in control group had significantly higher tendency to have performance approach and performance avoidance goals. In contrary there is no significant difference in between two groups related with mastery approach and mastery avoidance goals.

Keyphrases: 2x2 achievement goal orientation, computer animations, motivation, physical modeling

In: Claudia Urrea (editor). Proceedings of the MIT LINC 2019 Conference, vol 3, pages 81-85.

BibTeX entry
@inproceedings{LINC2019:Effect_Physical_Modeling_Computer,
  author    = {Gonca Esendemir Eskin and Ömer Geban},
  title     = {Effect of Physical Modeling and Computer Animation Implemented with Social Constructivist Instruction on Understanding of Human Reproductive System},
  booktitle = {Proceedings of the MIT LINC 2019 Conference},
  editor    = {Claudia Urrea},
  series    = {EPiC Series in Education Science},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2306},
  url       = {/publications/paper/73z8},
  doi       = {10.29007/jghq},
  pages     = {81-85},
  year      = {2020}}
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