Research Article
IMPRECI: Model of Reflective Guidance for Candidates for Elementary School Teachers
@INPROCEEDINGS{10.4108/eai.11-10-2022.2325553, author={Faisal Faisal and Lala Jelita Ananda and Stelly Martha Lova}, title={IMPRECI: Model of Reflective Guidance for Candidates for Elementary School Teachers}, proceedings={Proceedings of the 4th International Conference on Innovation in Education, Science and Culture, ICIESC 2022, 11 October 2022, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2022}, month={12}, keywords={impreci reflective teacher elementary school}, doi={10.4108/eai.11-10-2022.2325553} }
- Faisal Faisal
Lala Jelita Ananda
Stelly Martha Lova
Year: 2022
IMPRECI: Model of Reflective Guidance for Candidates for Elementary School Teachers
ICIESC
EAI
DOI: 10.4108/eai.11-10-2022.2325553
Abstract
This study aims to produce a product in the form of a set of IMPRECI (Introduction, Modeling, Practice, Reflection, and Innovation) guidance models as an effort to produce reflective teacher candidates in elementary schools. This is done based on the problem of the low reflective ability of prospective teachers to produce continuous improvement in every learning practice in elementary schools. This research is a development research using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation). Data collection techniques were carried out through questionnaires, observations, interviews, and documentation. The instruments used in this study were questionnaires, observation sheets, interview guidelines, and documentation checklists. The research data analysis technique was in the form of quantitative and qualitative descriptive data analysis. The expert test and small group test data from the questionnaire were analyzed by percentage and explained qualitatively. Field test/user test data in the form of implementing the IMPRECI model in the classroom were analyzed with qualitative data analysis of flow models starting from data reduction, data presentation, to drawing conclusions. The results of the content validity test obtained an average value of 3.66 with the Very Valid category. The results of the construct validity test obtained an average of 3.75 in the Very Valid category.