TPACK competence of mathematics education students in designing constructivist learning

The problem and the aim of the study. This study examines mathematics education students' TPACK (Technological Pedagogical Content Knowledge) and constructivist learning skills. The major issue is mathematical education students' ability to integrate technology, pedagogical expertise, and mathematical content knowledge in a constructivist learning setting. The study topics include how well students employ constructivist ideas in learning design, how technology supports mathematics learning, and what variables impact their TPACK abilities. By studying it more, this research may help enhance the mathematics education curriculum and teacher training to meet 21st-century education needs. Research methods. Qualitative case study research is used in this work. 23 students of the mathematics education program at Universitas Negeri Surabaya were selected. After observing students in constructivist mathematics learning design activities, in-depth interviews were conducted to understand better their views on TPACK and the constructivist approach, and their learning plans were analyzed. Students' TPACK abilities in constructivist learning will be assessed using thematic and triangulated data analysis. The research findings may help explain the problems and opportunities of constructing a mathematics education curriculum, particularly when merging TPACK and constructivist techniques. Results. The average TPACK competency of math education students is 78.4%, according to studies. According to the TPACK component analysis, students scored 85.2% on the Technology Knowledge Test (TK), 79.6% on the Pedagogical Knowledge Test (PK), and 75.8% on the Content Knowledge Test (CK). However, CK component proficiency varied, suggesting mathematical content knowledge should be improved. In-depth interviews showed that students with formal educational technology training or courses had higher TPACK ratings (M = 82.1%) than those without (M = 76.3%). These data show that formal education and training improve TPACK abilities. To optimize the constructivist method, the CK component must be improved. This research shows that technology integration and mathematics subject mastery are crucial to constructivist learning curricula and training programs for mathematics education students. Conclusion. The constructivist learning TPACK skills of mathematics education students are examined in this study. Students demonstrated technology integration, instructional competency, and mathematical topic knowledge with an average TPACK score of 78.4%. According to TPACK component analysis, pupils have good technical skills (TK) but varied mathematics topic knowledge. TPACK scores are higher for technology education students, demonstrating the role of formal learning in competency. These findings show that CK needs to include constructivism better. In conclusion, comprehensive training and mathematical content additions can improve students' TPACK skills, enabling constructivist technology usage. These insights may assist in improving mathematics curriculum and training.