The literature provides multiple measures of diversity along a single demographic dimension, but when it comes to studying the interaction of multiple diversity types (e.g. age, gender, and race), the field of useable measures diminishes. We present the use of decision trees as a machine learning technique to automatically identify the…

Phylogenetic trees are important tools for teaching and understanding evolution, yet students struggle to read and interpret them correctly. In this study, we extend a study conducted by Catley and Novick (2008) by investigating depictions of evolutionary trees in US textbooks. We investigated 1197 diagrams from 11 German and 11 United States…

Background and Context: Recursion in binary trees has proven to be a hard topic. There was not much research on enhancing student understanding of this topic. Objective: We present a tutorial to enhance learning through practice of recursive operations in binary trees, as it is typically taught post-CS2. Method: We identified the misconceptions…

Failed experiments are a common occurrence in research, yet many undergraduate science laboratories rely on established protocols to ensure students are able to obtain results. While it is logistically challenging to facilitate students' conducting their own experiments in the laboratory, allowing students to "fail" in a safe environment…

Given the importance of phylogenetic trees to understanding common ancestry and evolution, they are a necessary part of the undergraduate biology curriculum. However, a number of common misconceptions, such as reading across branch tips and understanding homoplasy, can pose difficulties in student understanding. Students also may take phylogenetic…

When physicians are asked to determine the positive predictive value from the a priori probability of a disease and the sensitivity and false positive rate of a medical test (Bayesian reasoning), it often comes to misjudgments with serious consequences. In daily clinical practice, however, it is not only important that doctors receive a tool with…

The Model of the Use of Evolutionary Trees (MUET)-curricular module that systematically and comprehensively introduces the learning of evolutionary trees for the lower-level college students was developed and implemented in an introductory organismal biology laboratory course at a mid-size, doctoral degree-granting institution. A…

The purpose of this study is to compare decision trees obtained by data mining algorithms used in various areas in recent years according to different criteria. In the study, similar and different aspects of the decision trees obtained by different methods for classifying the students as successful and unsuccessful in terms of science literacy…

This study aims to investigate environmentally responsible and sustainable development of 56 pre-service teachers which relevant to framework of sustainable development goals. The qualitative data were collected and analyzed by summarizing general perspectives. The 9 concepts were found and reported. The ways to sustain environments and education…

The Future Skills Report about the future of learning and higher Education (Ehlers & Kellermann, 2019) defines a variety of skills in which the active learner plays a central role. Starting from this perspective, our idea is to promote future skills with a digital data-driven study assistant for. As a theoretical foundation research about…

Contrary to the situation at primary, middle, and secondary school levels, university science courses provide students with very few opportunities to reflect upon the nature of science (NOS). The first goal of this study was to provide evidence that the co-construction of evolutionary trees, an important component of university biology education,…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Educational data mining involves the application of data mining techniques to student activity. However, in the context of computer programming, many data mining techniques can not be applied because they require vector-shaped input, whereas computer programs have the form of syntax trees. In this paper, we present ast2vec, a neural network that…

Relationships, such as the advisee/advisor relationship, in academia are typically taught to be used as a resource (a commodity) for the advancement of one's career. Problematizing the advising relationship draws attention to the inherent hierarchies and violence an advisor may perpetuate. In this article, we explore our resistance and healing…

University students in other disciplines without prior knowledge in statistics and/or programming language are introduced to the statistical method of decision trees in the programming language R during a 45-minute teaching and practice session. Statistics and programming skills are now frequently required within a wide variety of research fields…