Developmental scientists are often interested in subgroups of people who share commonalities in aspects of development; these subgroups often cannot be captured directly but instead must be inferred from other information. Mixture models can be used in these situations. Two specific types of mixture models, latent profile transition analyses and…

Data modeling practices are often invisible to students in introductory biology courses. However, developing a well-rounded understanding of these practices is critical for scientific literacy. Furthermore, introductory undergraduate science laboratory courses are often taught by graduate students or novice instructors with little autonomy,…

This paper explores the notion of "productive risk" as a way of understanding how diverse students can become re-makers of landscape architectural design practices and education. We trace the design trajectories of two first-year students at a South African tertiary institution and examine how the students negotiate the risk of drawing…

We investigated whether standardized neuropsychological tests and experimental cognitive paradigms measure the same cognitive faculties. Specifically, do neuropsychological tests commonly used to assess attention measure the same construct as attention paradigms used in cognitive psychology and neuroscience? We built on the "general attention…

The translation and adaptation of an assessment instrument into another language can be problematic, due, among other reasons, to sociocultural differences. This proved to be the case with the Spanish adaptation of the Students' Understanding of Models in Science (SUMS) questionnaire, a Likert-type scale developed originally in English. In light…

This paper introduces the COM-B model (Capabilities-Opportunities-Motivation:Behaviour) and its use in combination with the Behaviour Change Wheel (BCW) in developing an intervention which aims to promote the adoption of learning design methodologies by academic staff working with learning technologists in Higher Education (HE). Qualitative…

Science labs should promote reasoning that resembles the work that scientists do. However, this is often not the case. We present a lab in which students strive to find out which of two models best describes a physics experiment. The quantification of measurement uncertainties--another topic that is often neglected in high school…

Student modeling is one of the most important processes in adaptive systems. Although learning is individual, a model can be created based on patterns in student behavior. Since a student model can be created for more than one student, the use of machine learning techniques in student modeling is increasing. Artificial neural networks (ANNs),…

Contribution: The authors present a methodology for assessing both novelty and systems thinking, as expressed in the same conceptual models constructed by graduate engineering students. Background: Companies worldwide seek employees with creativity and systems thinking, since solving design problems requires both skills. Novelty and usefulness are…

Purpose: Studies of human capital and economic growth were initially focused on labour and physical capital, but it was later recognised that factors such as education, health, and technology also affected this relationship. The present study aims to examine the effects of education, health, and innovation/technology, as the components of human…

In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…

The purpose of this study was to develop an instructional design model for physical chemistry courses based on multiple representatives for chemistry education students in Indonesia. In this research, several types of development methods were adopted and conducted during the early stages of development. The Lee's approach was used as a…

The Karlson-Holm-Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates can be obtained in a somewhat different way to…

A basic mental model (BMM--in German 'Grundvorstellung') of a mathematical concept is a content-related interpretation that gives meaning to this concept. This paper defines normative and individual BMMs and concretizes them using the integral as an example. Four BMMs are developed about the concept of definite integral, sometimes used in specific…

Purpose: This research aims at investigating the increase in teaching and learning activities by using guided teaching model and what effect it makes on the achievement on learning outcomes. Guided teaching facilitates teaching and decision-making abilities of the students. Research Methodology: The study was carried out on a sample of 290…