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Hongwen Guo; Matthew S. Johnson; Daniel F. McCaffrey; Lixong Gu – ETS Research Report Series, 2024
The multistage testing (MST) design has been gaining attention and popularity in educational assessments. For testing programs that have small test-taker samples, it is challenging to calibrate new items to replenish the item pool. In the current research, we used the item pools from an operational MST program to illustrate how research studies…
Descriptors: Test Items, Test Construction, Sample Size, Scaling
Venn, Edward; Park, Jaeuk; Andersen, Line Palle; Hejmadi, Momna – Teaching in Higher Education, 2023
A common theme in the literature on learning technologies is the way in which they can facilitate engagement both within and outside of the classroom. However, a lack of a scholarly consensus on what constitutes engagement renders problematic the issue of how one makes meaningful sense of the data presented in studies. This paper presents an…
Descriptors: Undergraduate Students, Educational Technology, Emotional Response, Psychological Patterns
Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
Collier-Meek, Melissa A.; Fallon, Lindsay M.; Gould, Kaitlin – School Psychology Quarterly, 2018
Collecting treatment integrity data is critical for (a) strengthening internal validity within a research study, (b) determining the impact of an intervention on student outcomes, and (c) assessing the need for implementation supports. Although researchers have noted the increased inclusion of treatment integrity data in published articles, there…
Descriptors: Integrity, Data, Feedback (Response), Evaluation Methods
Crescenzi-Lanna, Lucrezia – British Journal of Educational Technology, 2020
Learning Analytics and Multimodal Learning Analytics are changing the way of analysing the learning process while students interact with an educational content. This paper presents a systematic literature review aimed at describing practices in recent Multimodal Learning Analytics and Learning Analytics research literature in order to identify…
Descriptors: Learning Modalities, Learning Analytics, Student Behavior, Progress Monitoring
Nyland, Rob – Journal of Educational Technology Systems, 2018
The purpose of this literature review is to understand the current state of research on tools that collect data for the purpose of formative assessment. We were interested in identifying the types of data collected by these tools, how these data were processed, and how the processed data were presented to the instructor or student for the purpose…
Descriptors: Formative Evaluation, Data Collection, Data Processing, Data Analysis
Fujimoto, Ken A.; Gordon, Rachel A.; Peng, Fang; Hofer, Kerry G. – AERA Open, 2018
Classroom quality measures, such as the Early Childhood Environment Rating Scale, Revised (ECERS-R), are widely used in research, practice, and policy. Increasingly, these uses have been for purposes not originally intended, such as contributing to consequential policy decisions. The current study adds to the recent evidence of problems with the…
Descriptors: Rating Scales, Early Childhood Education, Educational Quality, Preschool Curriculum
Moissa, Barbara; Gasparini, Isabela; Kemczinski, Avanilde – International Journal of Distance Education Technologies, 2015
Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for…
Descriptors: Large Group Instruction, Educational Technology, Online Courses, Educational Research
Papamitsiou, Zacharoula; Economides, Anastasios A. – Educational Technology & Society, 2014
This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and Educational Data Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence behind key objectives of the potential adoption of LA/EDM in generic educational strategic…
Descriptors: Data Analysis, Data Collection, Educational Research, Learning Processes
Patrikakou, Eva; Ockerman, Melissa S.; Hollenbeck, Amy Feiker – Professional Counselor, 2016
As a result of the Response to Intervention (RTI) mandate in schools across many states, school counselors are well-positioned to take a leadership role. The present research study examines how school counselors across the nation perceived their training and knowledge of RTI, as well as their confidence in its implementation. Results indicate that…
Descriptors: Response to Intervention, Program Implementation, School Counselors, Counselor Attitudes
Kristjansson, Alfgeir Logi; Sigfusson, Jon; Sigfusdottir, Inga Dora; Allegrante, John P. – Journal of School Health, 2013
Background: Collection of valid and reliable surveillance data as a basis for school health promotion and education policy and practice for children and adolescence is of great importance. However, numerous methodological and practical problems arise in the planning and collection of such survey data that need to be resolved in order to ensure the…
Descriptors: Data Collection, School Surveys, Foreign Countries, Health Promotion
Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
Drent, Marjolein; Meelissen, Martina R. M.; van der Kleij, Fabienne M. – Journal of Curriculum Studies, 2013
Worldwide, the interest of policy-makers in participating in studies from the International Association for the Evaluation of Educational Achievement (IEA), such as Trends in International Mathematics and Science Study (TIMSS) has been growing rapidly over the past two decades. These studies offer the opportunity to relate the teaching and…
Descriptors: International Programs, Mathematics Achievement, Science Achievement, Data Analysis
Knapp, Laura G.; Kelly-Reid, Janice E.; Ginder, Scott A. – National Center for Education Statistics, 2008
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other jurisdictions, such as Puerto Rico. This report presents information from the Winter 2007-2008 IPEDS web-based data collection. A postsecondary…
Descriptors: Postsecondary Education, Employment Level, School Personnel, Sex
Peer reviewedErwin, Wesley J.; Wheelright, Lori A. – Journal of Mental Health Counseling, 2002
Examines the effectiveness of the use of monetary incentives in mail survey data collection. Monetary incentives produces higher rates of return compared to mailings in which nonmonetary or no incentives are provided. The use of monetary incentives is more cost effective than other types of incentives and may be particularly valuable when…
Descriptors: Compensation (Remuneration), Data Collection, Incentives, Research Problems
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