Curriculum evaluation is a process carried out to decide the effectiveness of training programs. In this process, the strengths and aspects of the training programs that are open to improvement are emphasized. Therefore, curriculum evaluation studies are an important part of curriculum development. In this respect, it is important to consider the…

By applying educational data mining methods to big data related to large-scale exams, functional relationships are discovered in a basic sense and hidden pattern(s) can be revealed. Within the scope of the research, to show how the self-organizing map (SOM) method can be used in terms of educational data mining, how SOM differs from other…

Observations from faculty who teach marketing indicate that a relatively small percentage of students have strong interest in quantitative analysis and many come into the marketing major out of the misperception that it is light on math. In reality, over 98% of marketing professionals use data during their decision-making processes, while 80% of…

The Latinx population is the largest group of racially and ethnically diverse students in the United States. Although disproportionality in school discipline has been documented for Latinx students, findings related to such disparities have been inconsistent. We examined disciplinary exclusion practices involving students with and without…

Despite the varied approaches to qualitative data analysis software (QDAS) instruction, teaching QDAS remains a challenge as students' skills with digital tools and understanding of qualitative research vary. In this paper, we report on our experiences providing QDAS instruction via an introductory NVivo 11 workshop to graduate students. To report…

Educational Data Mining plays a critical role in advancing the learning environment by contributing state-of-the-art methods, techniques, and applications. The recent development provides valuable tools for understanding the student learning environment by exploring and utilizing educational data using machine learning and data mining techniques.…

As teacher residency programs are housed in universities, charter networks, nonprofit organizations, school districts, and museums, they form a model ripe for analysis. In this study, we conduct a content analysis of a random sample of 20 teacher residency program websites, focusing on each program's stated purpose, structures, and attributes.…

This case study, based on qualitative research, aims to examine the doctoral dissertation abstracts written between 2010-2017. Therefore, in education, 3463 doctoral dissertations abstracts were accessed through Turkey's National Thesis Center website. The researchers developed an abstract review form. Each dissertation abstract was examined…

Currently "Big Data" is an emerging field that presents several Information Technology challenges regarding the capture, storage search, structure, and visualization of this data. The real challenge for organizations is to find ways to extract value from it and provide better services to their clients. The data generated in academic and…

How do scientists generate and weight candidate queries for hypothesis testing, and how does learning from observations or experimental data impact query selection? Field sciences offer a compelling context to ask these questions because query selection and adaptation involves consideration of the spatiotemporal arrangement of data, and therefore…

The success of school-based mental health interventions is often inconsistent, in part due to lack of input from teachers and students in the programme design. Therefore, the involvement and engagement of teachers in the co-production of an intervention, especially within data analysis, can create more innovative and effective solutions. This…

This paper is based on: (1) a literature review focussing on the impact of learning analytics on supporting learning and teaching; (2) a Delphi study involving international expert discussion on current opportunities and challenges of learning analytics; as well as (3) outlining a research agenda for closing identified research gaps. Issues and…

The purpose of this narrative synthesis of the curriculum-based measure (CBM) instructional utility literature is to deepen insight into the supports required to enrich teachers' instructional decision-making within curriculum-based measure-data-based individualization (CBM-DBI) in ways that enhance the learning outcomes of students with intensive…

The paper investigates the use of dashboards and data visualizations as a teaching tools in accounting units. Accounting has a growing demand for data analytics and visualization and current graduates usually lack understanding and skills in this area. The paper addresses this gap by introducing dashboards and data visualizations in teaching…

Although many schools in the Netherlands have purchased adaptive learning systems (ALSs) to reduce workload and improve differentiated instruction, the use of ALSs with teacher dashboards in the classroom does not in itself necessarily improve differentiated instruction. The question is, what skills and knowledge do teachers need to provide…