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In this paper, we conduct a Markov analysis of learners’ professional skill development based on their conversations in virtual internships, an emerging category of learning systems characterized by the epistemic frame theory. This theory claims that professionals develop epistemic frames, or the network of skills, knowledge, identity, values, and epistemology (SKIVE) that are unique to that profession. Our goal here is to model individual students’ development of epistemic frames as Markov processes and infer the stationary distribution of this process, i.e. of the SKIVE elements. Our analysis of a dataset from the engineering virtual internship Nephrotex showed that domain specific SKIVE elements have higher probability. Furthermore, while comparing the SKIVE stationary distributions of pairs of individual students and display the results as heat maps, we can identify students that play leadership or coordinator roles. 

Abstract Herein, we report the synthesis of a nitrone‐linked covalent organic framework, COF‐115, by combiningN,N′,N′,N′′′‐(ethene‐1, 1, 2, 2‐tetrayltetrakis(benzene‐4, 1‐diyl))tetrakis(hydroxylamine) and terephthaladehyde via a polycondensation reaction. The formation of the nitrone functionality was confirmed by solid‐state¹³C multi cross‐polarization magic angle spinning NMR spectroscopy of the¹³C‐isotope‐labeled COF‐115 and Fourier‐transform infrared spectroscopy. The permanent porosity of COF‐115 was evaluated through low‐pressure N₂, CO₂, and H₂sorption experiments. Water vapor and carbon dioxide sorption analysis of COF‐115 and the isoreticular imine‐linked COF indicated a superior potential ofN‐oxide‐based porous materials for atmospheric water harvesting and CO₂capture applications. Density functional theory calculations provided valuable insights into the difference between the adsorption properties of these COFs. Lastly, photoinduced rearrangement of COF‐115 to the associated amide‐linked material was successfully demonstrated.