Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

Background: Problem-solving competences have evolved into key skills for professionals. Computer-based business simulations enable the analysis of problem-solving processes beyond end results. An important aspect of successful problem-solving is to systematically use built-in tools and process the provided information efficiently. Objectives: This…

Purpose: Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation…

Constructing a consensus problem space from extensive qualitative data for an ill-structured real-life problem and expressing the result to a broader audience is challenging. To effectively communicate a complex problem space, visualization of that problem space must elucidate inter-causal relationships among the problem variables. In this…

Mathematics is an essential subject in schools, helping develop cognitive skills such as critical analysis, logical reasoning, and problem-solving. However, academic achievement in mathematics often declines, with some students having difficulty understanding mathematical ideas. Many factors influence mathematics achievement, including students'…

The National Institute of Mental Health created the National Database for Autism Research (NDAR) to accelerate autism knowledge through data sharing and collaboration. However, our experience using NDAR reveals systematic challenges across several aspects of data submission, selection, management, and analysis that limit utility of this resource.…

In mathematics, the keyword strategy involves identifying a keyword and using that keyword to determine the operation needed to find a word problem's solution. We analyzed 747 high-stakes released items across grades 3, 4, 5, 6, 7, and 8. Of these, 57 items did not involve written text. Of the 690 text-based items, we classified 69% as directive…

In mathematics, the keyword strategy involves identifying a keyword (e.g., "altogether") and using that keyword to determine the operation needed to find a word problem's solution. We analyzed 747 high-stakes released items across Grades 3, 4, 5, 6, 7, and 8 from the Partnership for Assessment for Readiness for College and Careers and…

Purpose: This paper defines and assesses student learning patterns under the influence of problem-based learning (PBL) and their classification into a reasonable minimum number of classes. Study utilizes PBL implemented in an undergraduate Statistics and Operations Research course for techno-management students at a private university in India.…

Challenge: As biomedical engineers revolutionize medicine, biomedical engineering programs must adapt to the diverse learning styles of the current student population. Students are learning in new ways and instructional strategies need to be adopted. Novel Initiative: Understanding generational attributes is crucial for developing effective…

Bibliometric reviews of research have gained increased popularity since the mid-2010s. Yet, many readers may be uncertain as to the purpose and method of bibliometric reviews. This article provides an introduction to bibliometric reviews, clarifies their purpose, and elaborates on methods of data collection, analysis, and interpretation. The…

Experiential learning opportunities have been proven effective in teaching applied and complex subjects such as business analytics. Current business analytics pedagogy tends to focus heavily on the modeling phase with students often lacking a comprehensive understanding of the entire analytics process including dealing with real-life data that are…

Purpose: In a socio-educational context impregnated by social networks, feminist organizations and individuals have turned to social media to spread their knowledge. This paper aims to approach how feminist tweets are produced to ignite meaningful informal learning (IL) processes. Design/methodology/approach: This study uses an interdisciplinary…

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for students. In this study, we aimed to explore how undergraduate students use ChatGPT for problem-solving, what prompting strategies they develop, the link…

This article describes a wayfinding study conducted in an urban, academic library to better understand the experiences of multilingual student populations. The study, which incorporated traditional user experience methods and video ethnography, exposed communication obstacles and spatial challenges encountered by students of English for speakers…