This study introduces data mining methods to accounting education scholarship to explore the relationship between accounting students' current academic performance (grades), demographic information, pre-university entrance scores and predicted academic performance. It adopts a C4.5 classification algorithm based on decision-tree analysis to…

This pilot study examined (a) the perceived barriers to creating high-quality social and emotional learning (SEL) IEP goals for autistic students without intellectual disabilities, and (b) the impact of using a data-driven SEL IEP goal builder--a key component of the Ivymount Social Cognition Instructional Package (IvySCIP)--on the quality of SEL…

This original research is directed towards the information literacy of international master's students, focusing on the evaluation of their information-seeking behaviour during competitive and business intelligence processes, together with the subsequent verification methods they use once the desired information is found. During this research, 207…

Job advertisements provide accessible and practical data to explore labour market dynamics and recruitment trends. This paper presents a scoping review of empirical studies using teacher or teacher educator job advertisements as primary data. Particularly, this review will provide a structured overview of the methodology and objectives of the…

Technology continues to change and improve the marketing profession. Marketing research technologies such as eye-tracking and facial expression analysis allow marketers to gain more insights into consumer behaviors. Recently, these technologies have become more affordable and applicable in the classroom learning environment. A very recent addition…

This chapter explores how the Wisconsin Technical College System Student Success Center and the Success Center for Ohio Community Colleges provided support that encouraged data-informed decision-making among 2-year college stakeholders. A case study for each Center is presented to illustrate data-related strategies and lessons learned. The…

Addressing societal issues in civil and environmental engineering increasingly requires skills in data science and programming. To date, there is not much known about the extent students are learning these skills in current civil and environmental engineering curricula. We conducted a survey of accredited civil and environmental engineering…

Over the past 20 years, root cause analysis (RCA) has become one of the most widely used retrospective methods for detecting safety hazards in medicine and healthcare. Despite its wide use in management practice and growing popularity in academic research, there is currently a dearth of coverage of RCA in popular healthcare management textbooks…

This paper analyses the effect that the fulfilment of the European Higher Education Area (EHEA) has got among engineers in the information and communication technologies (ICT) sector. The focus is on Spain, and the comparison of the technical and managerial knowledge and skills most demanded by the sector in 2008 and 2018, coinciding with the…

Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…

Multilingual learners in Grades K-12 are often overidentified or underidentified for special education. The third edition of this groundbreaking text offers a better way to meet the needs of multilingual learners: by creating a culturally and linguistically responsive multi-tiered system of support (MTSS) and implementing a continuum of services…

These appendices supplement the full report "Linking Adult Education to Workforce Development in 2018-19: Early Implementation of the Workforce Innovation and Opportunity Act at the Local Level. Evaluation Report. NCEE 2023-001r" (ED626771). They provide additional information about the analyses conducted for the report and present…

Linear functions are an essential part of school and university education. Nevertheless, this topic is challenging for many students--especially in STEM topics. In this article, we contribute to the understanding of learning difficulties in the context of mathematical and physical problems. Here, we present the results of an eye-tracking study on…

In this article, we presented our findings regarding an online project-based learning course, delivered to 64 students from the Federal University of Sao Paulo, Brazil, during the COVID-19 pandemic, in the second semester of 2021. The course had the goal of teaching Project Management by means of a competition (the Data Science Olympics). Our goal…

Writing is an essential skill for success in many academic and professional settings. Despite receiving individualized feedback on their writing, many students struggle with writing in postsecondary education. This dissertation addresses this gap by focusing on the writing process--the moment-by-moment actions taken during writing--rather than the…