The main goal of this study was to evaluate the impact of an animation and visualization of data structures (AVDS) tool on both perceptions and objective test performance. The study involved a rigorous experiment that assessed the usability, acceptability, and effectiveness of the AVDS tool in solving exercises. A total of 78 participants…

As big data and artificial intelligence become integral to business decision-making, business management students require proficiency in data science and big data. However, the use of instructional technologies, such as augmented reality (AR) and mind mapping to teach these subjects is limited. This study introduces an innovative pedagogical model…

This study investigates the extent to which paper-based data-driven learning (DDL) activities can improve Thai EFL students' grammar learning of conditional sentences (the second condition), as well as the participants' attitudes toward learning through the DDL approach. This was a two-week research using a one-group pre-test and post-test design.…

The research addresses how post-secondary education can enhance Black student participation in STEM fields, which historically lag behind their White counterparts. Through improvement science, the researchers test the effectiveness of providing scaffolded learning and awareness modules for faculty and staff to enhance curricular design efforts and…

The researchers believe that post-secondary education can provide a greater number of Black students with degrees in the fields of Science, Technology, Engineering, and Math (STEM). Using improvement science, this research aims to test whether providing scaffolded learning and awareness modules around success in STEM programs for faculty and staff…

An interdisciplinary undergraduate atmospheric science modeling course was cotaught at a midsize public university by three professors from atmospheric science, statistics, and design using a blended learning approach. The in-class portion of the course taught upper-level students numerical weather prediction modeling and statistical evaluation…

This intervention study aimed to test the effect of writing process feedback. Sixty-five Grade 10 students received a personal report based on keystroke logging data, including information on several writing process aspects. Participants compared their writing process to exemplar processes of equally scoring (position-setting condition) or…

For six semesters, activities have been incorporated into first year general chemistry courses in an effort to build student conceptual chemistry knowledge. The activities follow a learning cycle pedagogy (similar to Process Oriented Guided Inquiry Learning or POGIL activities) and consist of guiding questions involving animations, models,…

The purpose of this article is to assist general and special educators in identifying and implementing effective academic programming in the general education environment for students with autism spectrum disorder (ASD). Throughout this article, the authors attempt to demonstrate how students with ASD can successfully receive instruction in a…

This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…

In this study, a linked data-based annotation approach is proposed. A learning system has been developed based on the approach by providing an annotating function, a linked data enrichment function, a sharing function and faceted search function. To evaluate the effectiveness of this innovative approach, an experiment was carried out in which two…

The age of data analytics requires "data scientists" across a wide range of business disciplines with deep knowledge of how to manage and analyse vast amounts of data to support decision-making. As a result, new analytical tools are being taught in the Management Information Systems (MIS) or business analytics (BA) programs to foster…

A grand challenge is a problem that requires broad cooperation for successful resolution from a community of scholars. Several national and international organizations have generated lists of grand challenges to unify the efforts of scholars and practitioners in a field. However, the field of assessment has yet to identify its own set of grand…

This study assesses the effectiveness of critical thinking drills (CTDs), a repetitious classroom activity designed to improve methodological and statistical thinking in relation to psychological claims embedded in popular press articles. In each of four separate CTDs, students critically analyzed a brief article reporting a recent psychological…

A critical component of environmental education is to ensure student understanding and use of available technologies to better experience and analyze spatially distributed features of the environment. Combining mobile technologies with geographic information systems in field data collection may provide a unique opportunity for students to feel…