For the last one decade, research in self-regulated learning (SRL) and educational psychology has proliferated. Researchers and educators have focused on how to support leaners grow their SRL skills on both face-to-face and e-learning environments. In addition, recent studies and meta-analysis have greatly contributed to the domain knowledge on…

The "institutional databases audit" addresses common challenges of retention research by viewing existing databases and key surveys as resources for analyzing persistence rates. Such an audit helps verify whether student database elements have theoretically derived research referents. Positive results show that institutions can acquire…

For the first time in history, public schools have closed across the country, and students have been receiving instruction from their homes. But in their new role as educators, parents have been largely flying blind in their efforts to ensure that students are on track for success. This problem is not new: parents have always needed to be informed…

This project explored the reliability and utility of transcription in coding qualitative data across two studies in a program evaluation context. The first study tested the method of direct audio coding, or coding audio files without transcripts, using qualitative data software. The presence and frequency of codes applied in direct audio coding…

A challenge at the heart of personalized competency-based education (PCBE) is grouping and scheduling students according to their learning needs rather than their age. With this guidebook, you'll take a deep dive into the why and how of these foundational PCBE components. Gain clear guidance for gathering standards-based data and then using the…

This document includes two technical appendices that accompany the full report, "Increasing Community College Transfers: Progress and Barriers." The two appendixes include: (1) Data and Methods; and (2) Figures and Tables. [For the full report, "Increasing Community College Transfers: Progress and Barriers," see ED608004.]

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…