Tangible Interaction and Learning: The Case for a Hybrid Approach

Research involving tangible interaction and children has often focused on how tangibles might sup- port or improve learning compared to more traditional methods. In this paper, we review three of our research studies involving tangible computer programming that have addressed this question in a variety of learning environments with a diverse population of children. Through these studies, we identify situations in which tangible interaction seems to offer advantages for learning; how- ever, we have also identify situations in which tangible interaction proves less useful and an alternative interaction style provides a more appropriate medium for learning. Thus, we advocate for a hybrid approach—one that offers teachers and learners the flexibility to select the most appropriate interaction style to meet the needs of a specific situation

Concert recording 2015-11-11

[Track 01]. La grande messe de Saint Hubert / Jules Cantin -- [Track 02]. Jagdmusik für Großes Jagdhorn / Friedrich Deisenroth -- [Track 03]. Fanfare for the southeast horn workshop / Randall E. Faust -- [Track 04]. De coelo veniet / Jacobus Gallus ; arranged by Marvin Howe -- [Track 05]. Farewell to Red Castle / Kerry Turner

Gaps in the Saturation Spectrum of Trees

A graph G is H-saturated if H is not a subgraph of G but the addition of any edge from the complement of G to G results in a copy of H. The minimum number of edges (the size) of an H-saturated graph on n vertices is denoted sat(n, H), while the maximum size is the well studied extremal number, ex(n, H). The saturation spectrum for a graph H is the set of sizes of H-saturated graphs between sat(n, H) and ex(n, H). In this paper we show that paths, trees with a vertex adjacent to many leaves, and brooms have a gap in the saturation spectrum

Intrathecal B-cell activation in LGI1 antibody encephalitis.

ObjectiveTo study intrathecal B-cell activity in leucine-rich, glioma-inactivated 1 (LGI1) antibody encephalitis. In patients with LGI1 antibodies, the lack of CSF lymphocytosis or oligoclonal bands and serum-predominant LGI1 antibodies suggests a peripherally initiated immune response. However, it is unknown whether B cells within the CNS contribute to the ongoing pathogenesis of LGI1 antibody encephalitis.MethodsPaired CSF and peripheral blood (PB) mononuclear cells were collected from 6 patients with LGI1 antibody encephalitis and 2 patients with other neurologic diseases. Deep B-cell immune repertoire sequencing was performed on immunoglobulin heavy chain transcripts from CSF B cells and sorted PB B-cell subsets. In addition, LGI1 antibody levels were determined in CSF and PB.ResultsSerum LGI1 antibody titers were on average 127-fold higher than CSF LGI1 antibody titers. Yet, deep B-cell repertoire analysis demonstrated a restricted CSF repertoire with frequent extensive clusters of clonally related B cells connected to mature PB B cells. These clusters showed intensive mutational activity of CSF B cells, providing strong evidence for an independent CNS-based antigen-driven response in patients with LGI1 antibody encephalitis but not in controls.ConclusionsOur results demonstrate that intrathecal immunoglobulin repertoire expansion is a feature of LGI1 antibody encephalitis and suggests a need for CNS-penetrant therapies

Learning Agent-based Modeling with LLM Companions: Experiences of Novices and Experts Using ChatGPT & NetLogo Chat

Large Language Models (LLMs) have the potential to fundamentally change the way people engage in computer programming. Agent-based modeling (ABM) has become ubiquitous in natural and social sciences and education, yet no prior studies have explored the potential of LLMs to assist it. We designed NetLogo Chat to support the learning and practice of NetLogo, a programming language for ABM. To understand how users perceive, use, and need LLM-based interfaces, we interviewed 30 participants from global academia, industry, and graduate schools. Experts reported more perceived benefits than novices and were more inclined to adopt LLMs in their workflow. We found significant differences between experts and novices in their perceptions, behaviors, and needs for human-AI collaboration. We surfaced a knowledge gap between experts and novices as a possible reason for the benefit gap. We identified guidance, personalization, and integration as major needs for LLM-based interfaces to support the programming of ABM.Comment: Conditionally accepted (with minor revisions) by Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24

Disentangling the Electronic and Lattice Contributions to the Dielectric Response of Photoexcited Bismuth

Elucidating the interplay between nuclear and electronic degrees of freedom that govern the complex dielectric behavior of materials under intense photoexcitation is essential for tailoring optical properties on demand. However, conventional transient reflectivity experiments have been unable to differentiate between real and imaginary components of the dielectric response, omitting crucial electron-lattice interactions. Utilizing thin film interference we unambiguously determined the photoinduced change in complex dielectric function in the Peierls semimetal bismuth and examined its dependence on the excitation density and nuclear motion of the A$_{1g}$ phonon. Our modeled transient reflectivity data reveals a progressive broadening and redshift of Lorentz oscillators with increasing excitation density and underscores the importance of both, electronic and nuclear coordinates in the renormalization of interband transitions.Comment: Manuscript (6 pages) plus supplemental material (6 pages

Pairing in fermionic systems: A quantum information perspective

The notion of "paired" fermions is central to important condensed matter phenomena such as superconductivity and superfluidity. While the concept is widely used and its physical meaning is clear there exists no systematic and mathematical theory of pairing which would allow to unambiguously characterize and systematically detect paired states. We propose a definition of pairing and develop methods for its detection and quantification applicable to current experimental setups. Pairing is shown to be a quantum correlation different from entanglement, giving further understanding in the structure of highly correlated quantum systems. In addition, we will show the resource character of paired states for precision metrology, proving that the BCS states allow phase measurements at the Heisenberg limit.Comment: 23 pages, 4 figure

Scattering at magnetic and nonmagnetic impurities on surfaces with strong spin-orbit coupling

Adsorption-induced reduction of surface-state conductivity in epitaxial Bi(111) films, a prototype system with large Rashba-induced surface-state splitting, by adsorbed atoms of Bi, Fe, and Co has been investigated by macroscopic surface magnetotransport measurements at a temperature of 10 K. A detailed analysis of magnetotransport, dc transport, and Hall data reveals that the scattering efficiencies for Co and Fe are larger by a factor of 2 than that for Bi. While for the latter charge transfer and change of band filling near the Fermi level are negligible, we find an increase of hole concentration upon Co and Fe adsorption. These atoms act as acceptors and immobilize on average about 0.5 electrons per adsorbed atom. Besides the dominant classical magnetoconductance signal the films show signatures of weak antilocalization, reflecting the strong spin-orbit coupling in Bi(111) surface states. This behavior can be changed to weak localization by the adsorption of high concentrations (0.1 monolayers) of magnetic impurities (Fe,Co), similarly to results found on the topological insulator Bi2Se3. Our results demonstrate that details of chemical bond formation for impurities are crucial for local spin moments and electronic scattering properties. © 2012 American Physical Society.DFGDAA

Visualizing biological data in museums : Visitor learning with an interactive tree of life exhibit

In this study, we investigate museum visitor learning and engagement at an interactive visualization of an evolutionary tree of life consisting of over 70,000 species. The study was conducted at two natural history museums where visitors collaboratively explored the tree of life using direct touch gestures on a multi-touch tabletop display. In the study, 247 youth, aged 8-15 years, were randomly assigned in pairs to one of four conditions. In two of the conditions, pairs of youth interacted with different versions of the tree of life tabletop exhibit for a fixed duration of 10minutes. In a third condition, pairs watched a 10minute video on a similar topic. Individual responses on a 53-item exit interview were then compared to responses from a fourth, baseline condition. Contrasting with the baseline condition, visitors who interacted with the tabletop exhibits were significantly more likely to reason correctly about core evolutionary concepts, particularly common descent and shared ancestry. They were also more likely to correctly interpret phylogenetic tree diagrams. To investigate the factors influencing these learning outcomes, we used linear mixed models to analyze measures of dyads' verbal engagement and physical interaction with the exhibit. These models indicated that, while our verbal and physical measures were related, they accounted for significant portions of the variance on their own, independent of youth age, prior knowledge, and parental background. Our results provide evidence that multi-touch interactive exhibits that enable visitors to explore large scientific datasets can provide engaging and effective learning opportunities