Nov 2026· Journal of Education and Learning (EduLearn)· 0 citations· 42 references
Abstract
Teacher self-efficacy is particularly relevant to the teaching of science and mathematics and affects their teaching and learning through the teachers’ instructional practices. This study examines female pre-service teachers’ self-efficacy in teaching science and mathematics across three domains: planning, implementation, and assessment, and examines the factors influencing its development during practicum experiences. A mixed-methods design was used, quantitative data were collected using a validated scale from 86 female pre-service teachers, while qualitative data were obtained through a semi-structured interview. Data were analyzed with descriptive statistics and thematic analyses, respectively. The results indicated consistently high levels of self-efficacy across all domains, with the highest levels in instructional implementation, followed by planning and assessment. Qualitative findings further revealed that field-based experiences, mentoring, and reflective practice enhance confidence in lesson design, classroom management, and student engagement. The study concludes that self-efficacy develops through the interaction of cognitive, emotional, and contextual factors. These findings have practical implications for improving teacher education programs by emphasizing structured practicum experiences, reflective mentorship, and targeted pedagogical training, and they provide directions for future research on subject-specific teacher development.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
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The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
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It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
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