Written by two leading experts in education research and policy, "Common-Sense Evidence" is a concise, accessible guide that helps education leaders find and interpret data and research, and then put that knowledge into action. In the book, Nora Gordon and Carrie Conaway empower educators to address the federal Every Student Succeeds Act…

Multidimensional Item Response Theory (MIRT) is widely used in assessment and evaluation of educational and psychological tests. It models the individual response patterns by specifying functional relationship between individuals' multiple latent traits and their responses to test items. One major challenge in parameter estimation in MIRT is that…

Forty states, including the District of Columbia, have established state longitudinal data systems (SLDS). The data included, intended functions, and methods for establishing SLDS vary from state to state. Further, forty-nine states and the District of Columbia have received one or more federal grant to support SLDS development. The adoption of…

In interactive e-learning environments such as Intelligent Tutoring Systems, there are pedagogical decisions to make at two main levels of granularity: whole problems and single steps. Here, we focus on making the problem-level decisions of worked example (WE) vs. problem solving (PS) and the step-level decisions of elicit vs. tell. More…

There is a critical need to conduct empirical studies on teaching mixed methods research (MMR).This study used a mixed methods process evaluation to provide practical guidance on effective design elements and impactful teaching approaches among five cohort groups of students (2016-2020) enrolled in a doctoral MMR course. Students engaged in…

Analysis of user-generated data (for example process data from logfiles, learning analytics, and data mining) in computer-based environments has gained much attention in the last decade and is considered a promising evolving field in learning sciences. In the area of educational assessment, the benefits of such data and how to exploit them are…

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…