Students with specific learning disabilities (SLD) represent roughly five percent of U.S. public school students aged 3-21. Current federal policy outlines guidelines for identification of SLDs, while ultimately leaving specific procedures to the determination of state and local education agencies. Research into how the method used in…

The Integrated Quality Assessment (IQA) in China is an officially mandated system that uses student self-assessment in addition to information provided by tests and examinations and other sources to make judgements about student achievement across a range of qualities. Officially, this system of assessment serves two purposes: to help students…

Value-added metrics or models (VAMs) are an important component of the teacher evaluation process that evaluators use to determine the value teachers add to their students' academic achievement. VAMs are used to arrive at a score that is derived from the number of the teachers' students who pass and/or fail a standardized assessment. While prior…

Digital games have been used in various disciplines to enhance students' learning interest and effectiveness through the gaming contexts. However, most of the digital educational games use multiple-choice questions to confirm students' learning status, implying the challenge of understanding the actual learning status of students. Also, the gaming…

As trends continue in U.S. schools toward a more racially, ethnically, and linguistically diverse K-12 student population, school-based professionals have an important role in supporting students' mental health and learning. Practitioners, including school psychologists, school counselors, and social workers, are expected to have the knowledge,…

Early identification of students needing additional support is a foundational component of Multi-Tiered Systems of Support (MTSS). Due to the resource-intensive nature of implementing MTSS, it is critical that universal screening procedures are maximally accurate and efficient. The purpose of this study was to compare the classification accuracy…

Education officials have long hoped that the statewide academic assessments most students take each year could be used not only for accountability but also to guide instruction. Congress established the Innovative Assessment Demonstration Authority (IADA) program in 2015 to help address this goal, offering up to seven states temporary flexibility…

This appendix volume supplements "Evaluating the Federal Innovative Assessment Demonstration Authority: Early Implementation and Progress of State Efforts to Develop New Statewide Academic Assessments. Evaluation Report. NCEE 2023-004" analyzing the early progress of the first five assessment systems participating in the Innovative…

Education officials have long hoped that the statewide academic assessments most students take each year could be used not only for accountability but also to guide instruction. Congress established the Innovative Assessment Demonstration Authority (IADA) program in 2015 to help address this goal, offering up to seven states flexibility from…

Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning behavior becomes especially important, when dealing with open-ended exploration environments,…

Higher education student selection has significant societal, institutional and individual impacts. Thousands of applicants apply only for nursing, one of the major higher education disciplines. As the nursing profession is characterised by cognitive requirements, higher education institutions assess the learning skills of nursing applicants.…

Recently, machine learning (ML) has evolved and finds its application in higher education (HE) for various data analysis. Studies have shown that such an emerging field in educational technology provides meaningful insights into several dimensions of educational quality. An in-depth analysis of the application of ML could have a positive impact on…

Students' social belonging in introductory science, technology, engineering, and mathematics courses has repeatedly been shown to be an important influence on students' outcomes in these courses. Previous studies have further identified students' sense of belonging and belonging uncertainty as related but unique components of their broader social…

One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…

Initiating effective feedback processes is a major goal in university teaching. However, systematic investigations of structural feedback elements making instructor feedback economic, concise, motivating and beneficial for learning are still scarce. In our study, we compare two feedback modes with respect to learning gains and changes in…