Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…

Undergraduate students usually study Laurent series in a standard course of Complex Analysis. One of the major applications of Laurent series is the classification of isolated singular points of complex functions. Although students are able to find series representations of functions, they may struggle to understand the meaning of the behaviour of…

Ariadne is a touch-based program for the learning of homotopies of paths, without the use of formalism, by building mental models. Using Ariadne, the user can construct points, paths by dragging points and homotopies by dragging paths as well as compute winding numbers of paths, all on a variety of surfaces, through touch gestures. Ariadne…

The ability to elicit information systems requirements is a necessary learning objective for students in a contemporary information systems curriculum, and is a skill vital to their careers. Common challenges in teaching this skill include both the lack of structure and guidance in information systems textbooks as well as the view that a student's…

Teaching and learning of technical terms constitute a major problem for ESP instructors and students. To help the students learn, retain, apply and relate technical terms, a multiple-associations instructional approach that focuses on connecting the printed form of the technical term with its pronunciation (the hidden sounds, double and silent…

The topic of sorting algorithms is a pleasant subject of informatics education. Not only is it so because the notion of sorting is well known from our everyday life, but also because as an algorithm task, whether we expect naive or practical solutions, it is easy to define and demonstrate. In my paper I will present some of the possible methods…

3D visualization assists in identifying diverse mechanisms of protein-DNA recognition that can be observed for transcription factors and other DNA binding proteins. We used Proteopedia to illustrate transcription factor-DNA readout modes with a focus on DNA shape, which can be a function of either nucleotide sequence (Hox proteins) or base pairing…

A new online tool called "Science Pipes" allows students to conduct biodiversity investigations. With this free tool, students create and run analyses that would otherwise require access to unwieldy data sets and the ability to write computer code. Using these data, students can conduct guided inquiries or hypothesis-driven research to…

Computer science core instruction attempts to provide a detailed understanding of dynamic processes such as the working of an algorithm or the flow of information between computing entities. Such dynamic processes are not well explained by static media such as text and images, and are difficult to convey in lecture. The authors survey the history…

How can we teach science to English language learners (ELLs) when even our native English speakers have trouble reading the textbook? To help science teachers meet this challenge, this article presents six text-comprehension strategies used by English for Speakers of other Languages (ESOL) teachers: metalinguistic awareness development,…

As collaborative learning in general, and pair programming in particular, has become widely adopted in computer science education, so has the use of pedagogical visualization tools for facilitating collaboration. However, there is little theory on collaborative learning with visualization, and few studies on their effect on each other. We build on…

The four sections of this paper provide an analysis of the structure of human memory. The first section, intended to provide a clear example of personal memory, examines a hypothetical episode in the life of an undergraduate student, and shows how one episode can give rise to three different forms of memory: personal, semantic, and rote…

Describes the visualization of a navigation classification scheme in an information retrieval (IR) system. Highlights include Charles Cutter's rules for creating a dictionary catalog; user needs; an example of undergraduate research using this scheme; and user interaction with the IR system. (Contains 64 references.) (Author/LRW)

Reviews visualization techniques for scientific disciplines and information retrieval and classification. Highlights include historical background of scientometrics, bibliometrics, and citation analysis; map generation; process flow of visualizing knowledge domains; measures and similarity calculations; vector space model; factor analysis;…

Provides an overview of information retrieval from mainframe systems to Web search engines; discusses collaborative filtering, data extraction, data visualization, agent technology, pattern recognition, classification and clustering, and virtual communities. Argues that rather than huge data-storage centers and proprietary software, we need…