Single-subjects design has the advantage of providing detailed, individualized analyses of intervention. However, creating a tutorial for single-subject design (SSD) is challenging, and an effective version for online delivery is currently unavailable. Here, we developed an experiential SSD tutorial designed for online delivery and evaluated its…

Reading and understanding scientific literature is an essential skill for any scientist to learn. While students' scientific literacy can be improved by reading research articles, an article's technical language and structure can hinder students' understanding of the scientific material. Furthermore, many students struggle with interpreting graphs…

The COVID-19 pandemic has necessitated the need to reliably detect the presence of viral genomes in human clinical samples. The most accurate viral tests involve the use of qPCR. Thus, it is important for students to understand the mechanism to detect viral genomes by qPCR including critical qPCR controls and how to properly interpret qPCR data.…

Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…

As organizations become increasingly dependent on marketing analytics, universities are adapting their curricula to equip students with skills necessary to operate in data-rich environments. We describe six competencies that students need to become proficient with analytics: (1) assessing data quality, (2) understanding measurement, (3) managing…

This study aims to examine the effectiveness of metacognitive scaffolding in different inquiry tasks related to optics. Two high school classes participated in this study. One class, the treatment group (n = 33), which integrated metacognitive prompts into the simulation-based inquiry, was compared to the other class, the control group (n = 34),…

The development of a student's ability to make data-driven decisions has become a focus in higher education (Schield 1999; Stephenson and Caravello 2007). Data literacy, the ability to understand and use data to effectively inform decisions, is a fundamental component of information competence (Mandinach and Gummer 2013; Stephenson and Caravello,…

Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…

To address third- and fourth-year chemistry students' difficulties with the challenge of interpreting [superscript 1]H NMR spectra, a problem solving-cooperative learning technique was incorporated in a Spectra of Organic Compounds course. Using this approach helped students deepen their understanding of the basics of [superscript 1]H NMR…

This article examines a small-scale ethnographic survey of a single classroom. Drawing on the collected data, the discussion focuses on some of the problems encountered whilst collecting and interpreting data through self-report diaries. Amongst the issues considered are the perceptions of teachers and learners and their ability to articulate…

Background: This article reports on an evaluation study of a project seeking to develop the use of position-linked datalogging with primary pupils in environmental science contexts. Purpose: The study sought to find out the extent to which the project had developed: (1) participant teachers' confidence in using datalogging as an everyday part of…

Asserts that no attitude is more detrimental to democratic values than blind allegiance to numerical data. Maintains that children must challenge and debate numerical data. Includes examples of data collection and activities designed to encourage students to be skeptical about numerical information. (CFR)

Reports part of the results of the Design, Development, and Assessment in Mathematics Education Project that tested the booklet on descriptive statistics called "Data Visualization" in six experimental algebra classes in Whitnall, Wisconsin. Describes examples of problems presented, use of cooperative learning during instruction, and…