Metacognition is the engine of self-regulated learning. At the object level, learners seek information and choose learning tactics and strategies they forecast will develop knowledge. At the meta level, learners gather and analyze data about learning events to draw conclusions, such as: Is this tactic a good fit to conditions? Was it effective?…

Faculty and students alike can benefit from the use of educational technology, yet keeping up with the latest developments can pose a challenge for busy faculty. This article reviews one tool that could be used to facilitate teaching and learning in face-to-face, hybrid, or online courses. Acadly is an online platform and mobile application…

Data from assessment of library building use can aid in making important decisions, such as where a renovation would be most impactful, in addition to the actual impact of those types of renovations. This article examines space usage data collected at Valdosta State University's Odum Library from 2017 to 2021. Renovations in two key areas occurred…

The article describes project of the information system to control the teaching of Russian sign language. The aim of the conducted study is to consolidate existing algorithms and software tools to ensure the integrity, and objectivity in the implementation of professional training of specialists in the field of Russian sign language. The authors…

This article examines how students learn about data-driven decision-making by creating and using a dashboard to play an online version of the familiar Beer Game. The objective is to apply data visualization skills to a business system in a way that leads to effective decisions. The students not only build a dashboard in Tableau, they also use it…

Background/Context: Application Programming Interfaces (APIs) are becoming a core means to collect and disseminate data for education research and policy. Surveys can be costly, slow, and burden respondents, and manually downloading data files is slow and cumbersome when many files are needed. APIs provide a programmatic way to collect data or…

Students in an upper-level physical chemistry course utilized an open-sourced statistical software package to construct models fitted to experimental pressure-volume data. In the first part of the experiment, students familiarize themselves with model fitting. In the second part of the experiment, students determine which truncated version of the…

Interventions related to differential reinforcement (DR) are among the most frequently used within the field of applied behavior analysis (ABA). However, certain conditions can inhibit the level at which effects of these interventions maintain upon treatment challenges or generalize across contexts. This can result in the relapse, or recurrence of…

We present a complete, soup to nuts, modeling activity of a falling column of water. Many colleagues have used this material in teaching applications of first order separable differential equations. We describe how the material can be presented with students collecting their own data from online videos. One can then either offer the differential…

Digital systems are pervasive in modern societies -- augmenting personal and commercial driving, detecting cancer, and exploiting transitory events in financial markets. Attacks on these systems are growing in number, sophistication, and impact. Current cyber defenses are proving inadequate against some of these attacks. Cyber defense tools that…

The study advances the instrumental approach to mathematics education (Drijvers et al., 2013; Trouche, 2003), aiming to elucidate the interplay between students' reasoning competency, conceptual knowledge and tool utilisation in dynamic digital geometry and algebra environments. The dynamic properties of these environments pose a nuanced…

This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…

ChatGPT and AI programs are creating a stir on college campuses nationwide. Concerns about cheating are strong and many instructors are adopting new teaching strategies to dissuade students from using the technology in assignments. In the present study, undergraduate students in an introductory epidemiology course were assigned to use ChatGPT to…

Purpose: The purpose of this study was to investigate the effectiveness of a self-administered naming treatment for one individual, B.N., presenting with semantic variant primary progressive aphasia (svPPA) and a history of traumatic brain injury (TBI). Method: Naming treatment included components of Lexical Retrieval Cascade Treatment and was…

Traditional nursing and health education design courses usually only transfer knowledge via lectures, and lack interaction, drills and personalized feedback. However, the development and widespread adoption of generative artificial intelligence via the ChatGPT system presents an opportunity to address these issues. Some CIDI model-based ChatGPT…