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Empowering Digital Pedagogy through ICT-Based Deep Learning for Numeracy and Computational Thinking in Elementary Schools Helsa, Yullys; Arlis, Syafri; Zainil, Melva; Zulnaidi, Hutkemri; Rachman, Bayu
Bubungan Tinggi: Jurnal Pengabdian Masyarakat Vol 8, No 1 (2026): FEBRUARY 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/btjpm.v8i1.17314

Abstract

This community service program aimed to strengthen elementary school teachers’ capacity to integrate ICT-based deep learning pedagogy in improving students’ numeracy and computational thinking (CT) literacy. The program involved 30 teachers within a local Teacher Learning Community and was implemented through participatory workshops and structured mentoring using a one-group pre-test–post-test design to examine program impact. The intervention focused on enhancing teachers’ competence in designing ICT-integrated lesson plans, learning activities, and assessments aligned with numeracy and CT indicators. Data were collected through teacher self-assessment, classroom observation, and students’ pre- and post-tests and analyzed descriptively to determine mean improvement and percentage gain. The results demonstrated a 24% increase in teachers’ ICT pedagogical competence, indicating strengthened instructional capacity. As a follow-up impact of improved teaching practice, students’ numeracy achievement increased by 24%, and computational thinking performance improved by 20%. These findings confirm that empowering teachers through ICT-integrated deep learning contributes to measurable improvements in instructional quality and supports the development of higher-order literacy skills. Overall, the program achieved its objective by reinforcing teacher capacity as the primary outcome, with positive learning gains emerging as a direct pedagogical impact within elementary classrooms.
Conceptual and procedural errors of pre-service elementary teachers in solving educational research statistics problems Rohimah, Siti Maryam; Putri, Sarah Anida; Helsa, Yullys
Jurnal Elemen Vol 12 No 1 (2026): January
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jel.v12i1.32327

Abstract

Pre-service elementary teachers often make errors in educational research and problem-solving, highlighting the need to examine the nature and causes of these errors. This study employed a qualitative descriptive case study design to identify the types of errors made by Elementary School Teacher Education (ESTE) students in solving educational research statistics problems and to examine the factors contributing to these errors. The participants were 58 ESTE students enrolled in a statistics course at a private university in Indonesia. Data were collected through problem-solving tests, interviews, and classroom observations. The test instrument was used to assess students’ understanding of statistical concepts, while interviews and observations explored cognitive and contextual factors influencing error occurrence. The findings indicate that conceptual errors occurred in 17% of cases and procedural errors in 22%. Conceptual errors were primarily due to difficulties interpreting statistical software outputs, whereas procedural errors were associated with inaccuracies in applying formulas and performing calculations. These findings contribute to a clearer theoretical understanding of conceptual and procedural errors in statistics learning and highlight the need for instructional approaches that balance conceptual and procedural aspects in educational research statistics.