The relationship between confidence and accuracy has long been an important and controversial topic within the field of human memory. In a recent review article, Schwartz (2024). "Inferential theories of retrospective confidence." Metacognition & Learning.) competently summarized some of the key empirical findings on this issue and…

Efforts to encourage laboratory automation through student access to and usage of commercial equipment are hampered by prohibitive acquisition costs. Here, an automated liquid handler using manual pipettes was developed to operate on a commercial hobbyist 3D printer at a cost of US $325. Arising from an iterative design process that ensured…

As Artificial Intelligence (AI) keeps advancing, Generation Alpha and future generations are more likely to cope with situations that call for critical thinking by turning to AI and relying on its guidance without sufficient critical thinking. I defend this worry and argue that it calls for educational reforms that would be designed mainly to (a)…

Globally, educators and researchers use different terms to describe instructors' approaches when presenting instructional material in formal and informal settings. Terms commonly used to describe instructional approaches include teaching/instructional strategy, teaching/instructional method, and teaching/instructional technique. Although…

Culturally authentic literature is widely recognized for its efficacy in developing children's multicultural awareness and intercultural understanding. Through systematic examination and analysis of 53 Children's picture books featuring China and its culture published in North America, this study investigated the extent to which the selected books…

Artificial intelligence companies and researchers are currently working to create Artificial Superintelligence (ASI): AI systems that significantly exceed human problem-solving speed, power, and precision across the full range of human solvable problems. Some have claimed that achieving ASI -- for better or worse -- would be the most significant…

In this article, we argue that automated scoring engines should be transparent and construct relevant--that is, as much as is currently feasible. Many current automated scoring engines cannot achieve high degrees of scoring accuracy without allowing in some features that may not be easily explained and understood and may not be obviously and…

To explore the dynamics of processing in manuscript production, it is necessary to possess a system for recording the writer's graphic activity. This work describes the new version of the Eye and Pen program (version 3.01). In addition to the fact that it is now freely available (https://www.eyeandpen.net), the improvements described focus on its…

Sociologists increasingly face choices among competing algorithms that represent reasonable approaches to the same task, with little guidance in choosing among them. We develop a strategy that uses simulated data to identify the conditions under which different methods perform well and applies what is learned from the simulations to predict which…

Metacognitive monitoring, recognizing when one is accurate or not, is important because judgments of one's performance or knowledge often relate to control decisions, such as help seeking. Unfortunately, children and adults struggle to accurately monitor their performance during number-magnitude estimation. People's accuracy in estimating number…

Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…

Detection methods for item preknowledge are often evaluated in simulation studies where models are used to generate the data. To ensure the reliability of such methods, it is crucial that these models are able to accurately represent situations that are encountered in practice. The purpose of this article is to provide a critical analysis of…

Wildfires pose significant environmental threats in Australia, impacting ecosystems, human lives, and property. This review article provides a comprehensive analysis of various empirical and dynamic wildfire simulators alongside machine learning (ML) techniques employed for wildfire prediction in Australia. The study examines the effectiveness of…

The central dogma of molecular biology describes the transfer of genetic information from nucleic acids to proteins and stipulates that the system cannot work in the reverse direction. As a fundamental principle in biology, the dogma is as influential as it is controversial. Some commentators have debated the central dogma's empirical accuracy…

This paper explores the efficacy of ChatGPT, a generative artificial intelligence in educational contexts, particularly concerning its potential to assist students in overcoming academic challenges while highlighting its limitations. ChatGPT is suitable for solving general problems. When a student comes across academic challenges, ChatGPT may…