Explores polymer durability, oxidation mechanisms, accelerated aging, activation energy, and stress coupling, with case studies on polyamide 6.6 and the Arrhenius prediction method.
Explores sociotechnical controversies in research work, emphasizing the blurred boundaries of expertise and the intertwined nature of facts and values.
Delves into Bayesian Knowledge Tracing and Learning Curves, exploring the prediction of student knowledge over time and the importance of accurate performance measurement.
Emphasizes methodological principles, the interplay between technical and social aspects, and the significance of different observational perspectives.
