Quantitative reasoning (QR) competencies are increasingly called for in the data rich and complex environment of STEM disciplines, including biology. Curricular reform efforts in QR have been directed at disseminating course design and pedagogy but less work has been directed at understanding what faculty at large view as crucial for student…

Background and Context: Learning to create self-directed and personally authentic programming projects involves encountering challenges and learning to get unstuck. Objective: This article investigates how one U.S. fourth-grade classroom engaged in practices which emphasized community supports, in the context of the classroom's implementation and…

The rapid advancement of artificial intelligence (AI) is transforming education and creating new opportunities for language learning and teaching. In English as a Foreign Language (EFL) contexts, idiomatic competence represents a persistent instructional challenge because it requires cultural awareness and contextual understanding. Traditional…

Engineering education in particular involves laboratory equipment and apparatus which requires safety procedures and substantial financial cost. Recent pandemic has also affected engineering education teaching and learning processes as all the classes and laboratory sessions need to be conducted via online distance learning (ODL) method.…

The oscillating atmospheric CO[subscript 2] concentrations at Mauna Loa, on the island of Hawaii, Hawaii, United States of America, are Fourier transformed in order to extract the period of oscillations. Also well-known as the Keeling curve, CO[subscript 2] concentrations (in time series) at Mauna Loa oscillate in direct association with seasonal…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…

Improving both the quantity and quality of existing data are placed at the center of research for adaptive micro open learning. To cover this research gap, our work targets on the current scarcity of both data and rules that represent open learning activities. An evolutionary rule generator is constructed, which consists of an outer loop and an…

The paper contributes to design discourse by drawing on Educational Design Research (EDR) that has been conducted into what we call a Zone of Possibility (ZoP) over the past seven years. We define a ZoP as a place where individuals can overcome the constraints of expectations and power structures to effect desired change. Specifically, this paper…

In this digital ITEMS module, Dr. Michael Bunch provides an in-depth, step-by-step look at how standard setting is done. It does not focus on any specific procedure or methodology (e.g., modified Angoff, bookmark, and body of work) but on the practical tasks that must be completed for any standard setting activity. Dr. Bunch carries the…

There is a growing body of research which explores the benefits to the elderly of playing digital games for knowledge acquisition, various skills enhancement and well-being. However, few systematic literature reviews have highlighted and updated the trends and findings regarding digital games designed for older users and learners. Also, a forced…

This paper demonstrates how the transcendental number "e" may be arrived at by observing the discharge of a capacitor through a fixed resistor and then modelling the system using a simple step-wise procedure. The experimental phase makes use of the Arduino microcontroller, while simple modelling of the system is carried out by means of…

This review covers the core concepts and design decisions of TensorFlow. TensorFlow, originally created by researchers at Google, is the most popular one among the plethora of deep learning libraries. In the field of deep learning, neural networks have achieved tremendous success and gained wide popularity in various areas. This family of models…

As an alternative to Cronbach's [alpha] for estimating scale reliability, McDonald's [omega] has attracted increased attention within the methodological community for its less stringent measurement assumptions. Notwithstanding, [omega] is still seldom used by practitioners, likely due to its unavailability in popular software packages (e.g., SPSS)…

This article builds on prior work that aims to measure computational learning (CL) during middle school. Since game computational sophistication (GCS) has been used as a proxy for a student's engagement in CL we build on their model to more completely describe the relationship between different types of building blocks of computer games and GCS.…

Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…