Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…

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…

A wealth of evidence shows that exposure to the natural environment and nature-based learning can benefit children's physical, mental, social, and emotional health. Despite this, children are spending less time in nature and nature-based learning remains an underutilised pedagogical tool. Several barriers are frequently reported by teachers,…

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…

It is common in environmental education literature to read about 'transforming' mindsets; for example, moving from humanist to post-humanist viewpoints, or adopting Indigenous Knowledge perspectives. To illustrate how complicated such conceptual shifts are, both philosophically and pedagogically, the paper explores how we come to see and regard…

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…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

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,…

Gull, Levenson Goldstein, and Rosengarten (2018) examined the benefits and risks associated with tree climbing on child development and resiliency in regards to parental perspectives; however, it lacked a clear male perspective. The recommendations from that study mentioned that 93% of the responses originally came from mothers; hence, the need to…