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Schnell, Rainer; Thomas, Kathrin – Sociological Methods & Research, 2023
This article provides a meta-analysis of studies using the crosswise model (CM) in estimating the prevalence of sensitive characteristics in different samples and populations. On a data set of 141 items published in 33 either articles or books, we compare the difference ([delta]) between estimates based on the CM and a direct question (DQ). The…
Descriptors: Meta Analysis, Models, Comparative Analysis, Publications
Najera, Hector – Measurement: Interdisciplinary Research and Perspectives, 2023
Measurement error affects the quality of population orderings of an index and, hence, increases the misclassification of the poor and the non-poor groups and affects statistical inferences from binary regression models. Hence, the conclusions about the extent, profile, and distribution of poverty are likely to be misleading. However, the size and…
Descriptors: Poverty, Error of Measurement, Classification, Statistical Inference
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Deho, Oscar Blessed; Joksimovic, Srecko; Li, Jiuyong; Zhan, Chen; Liu, Jixue; Liu, Lin – IEEE Transactions on Learning Technologies, 2023
Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…
Descriptors: Learning Analytics, Models, Student Records, Prediction
Alexandron, Giora; Wiltrout, Mary Ellen; Berg, Aviram; Gershon, Sa'ar Karp; Ruipérez-Valiente, José A. – Journal of Computer Assisted Learning, 2023
Background: Massive Open Online Courses (MOOCs) have touted the idea of democratizing education, but soon enough, this utopian idea collided with the reality of finding sustainable business models. In addition, the promise of harnessing interactive and social web technologies to promote meaningful learning was only partially successful. And…
Descriptors: MOOCs, Evaluation, Models, Learner Engagement
Vasconcelos, André; Monsores, Jomar; Almeida, Tania; Quadros, Laura; Ogasawara, Eduardo; Quadros, João – Education and Information Technologies, 2023
The use of information technology in the academic environment has grown. Building different didactic techniques to help students learn and practice with Information Technology (IT) resources is common. However, applying these techniques does not necessarily mean that students may acquire knowledge. The differential idea of this work is to create…
Descriptors: Foreign Countries, Elementary Education, Elementary School Students, Computer Science Education
Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
Garcia, Manuel B. – Journal of Educational Computing Research, 2023
Computer programming is a difficult course for many students. Prior works advocated for group learning pedagogies in pursuit of higher-level reasoning and conceptual understanding. However, the methodological gaps in existing implementations warrant further research. This study conducted a three-armed cluster-randomized controlled trial to…
Descriptors: Computer Science Education, Programming, Cooperative Learning, Apprenticeships
Storm, Louise Kamuk; Svendsen, Annemari Munk – Sport, Education and Society, 2023
Physical education (PE) and youth sport comprise two different pedagogical contexts, but one thing they have in common is that coach and teacher play a managerial role in developing and maintaining the culture of the sports team or the class. We will therefore argue that they can be seen as cultural leaders. However, the concept of cultural…
Descriptors: Leadership, Cultural Awareness, Physical Education, Athletics
Lee, Hyewon; Hernandez, Paul R.; Tise, Joseph C.; Du, Wenyi – Theory Into Practice, 2023
Bandura's research on observational learning laid the foundation of role model research. Contemporary research shows role models support women and racial/ethnic minority students in STEM by buffering them from the deleterious effects of stereotype threats and boosting their self-efficacy. However, certain characteristics can make role models more…
Descriptors: Role Models, Diversity, College Students, STEM Education
Ghimire, Nav R. – Journal of Extension, 2023
This article explores the challenges of reporting outcomes of the Extension educational programs at land-grant universities and presents a model highlighting the focus and expectations of reporting in Cooperative Extension. This model provides a rationale for recognizing the relationship between program planning, evaluation, reporting, and…
Descriptors: Extension Education, Program Effectiveness, Land Grant Universities, Program Development
Xu, Yanhui – Australian Mathematics Education Journal, 2023
This paper describes a model of mathematics bianshi teaching using one problem with several solutions, changes, and applications in an inquiry-based classroom. Based on the model of mathematics bianshi teaching, the author discusses a class-room experience where one Chinese mathematics teacher takes a simple plane geometry problem to guide…
Descriptors: Models, Mathematics Instruction, Teaching Methods, Creativity
Deng, Xinjie; Yu, Zhonggen – Education and Information Technologies, 2023
As information technologies develop, social networking services have gradually gained attention from both researchers and practitioners. However, little is known about the technology adoption of social networking from the perspective of hedonic motivation. For this purpose, this study applied the hedonic motivation system adoption model (HMSAM) to…
Descriptors: Foreign Countries, College Students, Student Motivation, Models
Gunuc, Selim – Journal of College Student Retention: Research, Theory & Practice, 2023
Student engagement refers to the quality and quantity of students' psychological, cognitive, emotional and behavioral reactions to in-class and out-of-class academic and social activities to achieve successful learning outcomes. In literature, the Campus-Class-Technology (CCT) theory in student engagement was developed and tested with some models,…
Descriptors: Learner Engagement, Educational Technology, Models, Technology Integration
Danielson, Robert W.; Sinatra, Gale M.; Trevors, Greg; Muis, Krista R.; Pekrun, Reinhard; Heddy, Benjamin C. – Journal of Experimental Education, 2023
When individuals seek to learn about scientific information, they likely turn to the Internet. There, they will find multiple documents with conflicting points of view and varying degrees of accuracy. Integrating this information is challenging and may evoke epistemic emotions which may, in turn, influence how this information is integrated.…
Descriptors: Thinking Skills, Epistemology, Psychological Patterns, Causal Models