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ANALISIS KESULITAN SISWA KELAS X DALAM MEMAHAMI MATERI STATISTIKA BERDASARKAN PROSEDUR NEWMAN Sukma Prasetya Idi Pangestu; M. Khafid Irsyadi; Kristiani
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 03 (2026): Volume 12 No. 03, September 2026 Published
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i03.18216

Abstract

The purpose of this study is to describe the difficulties experienced by 10th-grade students in statistics based on Newman’s procedure and to describe the factors that cause errors. This study used a qualitative approach. The research subjects consisted of 27 10th-grade students who were grouped using purposive sampling based on three ability categories. The results showed that the most common type of error among students was encoding errors in writing down the final for 81.48% of all errors. The factors contributing to these difficulties included a lack of understanding of statistical concepts, a lack of care in reading and understanding the questions, difficulty in determining the appropriate formula, a lack of precision in performing calculations, and a lack of familiarity with writing conclusions in accordance with the context of the question.
AI Acceptance and Learning Discipline in Vocational Mathematics Education Andi Fajeriani Wyrasti; Leonard Leonard; Kristiani Kristiani; Nuryanti Rumalolas; Riki Suliana Ranggawati Sidik
Formatif : Jurnal Ilmiah Pendidikan MIPA Vol. 16 No. 2 (2026): Formatif: Jurnal Ilmiah Pendidikan MIPA
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/formatif.v16i2.3546

Abstract

  This study examines the relationships among students’ acceptance of artificial intelligence (AI) for mathematics learning, self-regulated learning (SRL), and learning discipline. The proposed model extends a partial Technology Acceptance Model (TAM) by incorporating perceived ease of use (PEOU), perceived usefulness (PU), attitude toward use (ATU), and behavioural intention (BI), together with SRL and learning discipline. A quantitative cross-sectional survey was conducted with 206 vocational high school students (Sekolah Menengah Kejuruan/SMK) from DKI Jakarta, West Java, Central Java, and East Java, Indonesia. Data were analysed using partial least squares structural equation modelling (PLS-SEM). The results supported the TAM sequence: PEOU was positively associated with PU (β = .743, p < .001), PU with ATU (β = .738, p < .001), and ATU with BI (β = .851, p < .001). PU was positively associated with SRL (β = .393, p < .001), whereas BI was not significantly associated with SRL (β = .131, p = .195). SRL was positively associated with learning discipline (β = .593, p < .001; f² = .494). The model explained 24.1% of the variance in SRL and 45.2% of the variance in learning discipline. Mediation analysis showed a significant indirect association between PU and learning discipline through SRL (β = .233, 95% CI [.115, .348], p < .001), while the direct association between PU and learning discipline remained significant (β = .140, p = .030), indicating partial mediation. These findings suggest that perceived usefulness may be more educationally relevant than behavioural intention for understanding SRL and learning discipline in AI-supported mathematics learning.