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Doo, Min Young – Education and Information Technologies, 2023
Universities are increasingly incorporating flipped learning as an effective instructional approach. Given the popularity of flipped learning, numerous studies have examined the psychological aspects of students and learning achievement in flipped learning classes. However, little research has examined the social influence processes of students in…
Descriptors: Undergraduate Students, Flipped Classroom, Models, Social Influences
Philip I. Pavlik; Luke G. Eglington – Grantee Submission, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
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Philip I. Pavlik; Luke G. Eglington – International Educational Data Mining Society, 2023
This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…
Descriptors: Students, Models, Regression (Statistics), Alternative Assessment
Nataliia Telendii – ProQuest LLC, 2023
Education is a constantly evolving field that requires continuous professional development. While policymakers continue to implement school reforms, many of them depend on teachers' ability to learn and improve instruction to increase student learning. Teachers have a double role in educational reforms by being simultaneously subjects and objects…
Descriptors: Faculty Development, Program Design, Program Effectiveness, Computer Security
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Afra Çalik; Ali Sen; Zeynep Aydin; Ercan Altug Yilmaz – International Society for Technology, Education, and Science, 2023
Gamification is an approach that solves real-life motivational problems with game design techniques by target a long-term behavioral change in participants. However, the application models in gamification design are limited and lack a holistic approach in scope. While existing models may seem sufficient on their own, they tend to focus on certain…
Descriptors: Gamification, Behavior Change, Holistic Approach, Design Requirements
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Mazlina Abdul Majid; Husnul Ajra; Mohammad Adam Ibrahim Fakhreldin; Md. Shohidul Islam; Khalid Adam Ismail Hammad – International Society for Technology, Education, and Science, 2023
One of the most persuasive technologies in developing universities' smart campus applications is the Internet of Things (IoT) technique. Deploying thousands of readily available devices connected to IoT systems by ignoring device vulnerabilities and threat strategies in smart campus infrastructure is exacerbating security challenges. Moreover,…
Descriptors: Educational Technology, Technology Uses in Education, Computer Security, Technological Literacy
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Muhammad Andiri Hendrawan; Romadhani Ardi – International Society for Technology, Education, and Science, 2023
The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…
Descriptors: Handheld Devices, Computer Oriented Programs, Models, Investment
Robin Clausen – Grantee Submission, 2023
Research over the monitoring of at-risk youth. Behavioral interventions have been the primary focus of this literature past two decades has focused on one aspect of dropout prevention: early identification an however, there is renewed emphasis placed on attendance and academic risk factors under ESSA. Recognizing a need to promote early…
Descriptors: Identification, Dropouts, At Risk Students, Prediction
Yuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
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Tsao, Jui-Jung; Tseng, Wen-Ta; Hsiao, Tsung-Yuan; Wang, Chaochang; Gao, Andy Xuesong – SAGE Open, 2021
Research has shown that the effectiveness of written corrective feedback (WCF) on writing performance depends on learners' engagement with WCF and its associated motivational state. However, little research has examined the inner causal relationships between motivation, learner engagement with WCF, and writing performance. The current study fills…
Descriptors: Student Motivation, Learner Engagement, Models, English (Second Language)
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Azra Moeed; Stephen Dobson; Sankari Saha – SpringerBriefs in Education, 2024
This book showcases a case study of the development of a generalist early childhood education (ECE) teacher into a confident and competent teacher of science in early childhood with support from a mentor. It argues that with guided mentoring, and later, timely support of a mentor as and when required, ECE teachers can deliver the curriculum, teach…
Descriptors: Early Childhood Education, Early Childhood Teachers, Science Instruction, Mentors
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Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
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Sally Hang; Geneva M. Jost; Amanda E. Guyer; Richard W. Robins; Paul D. Hastings; Camelia E. Hostinar – Child Development Perspectives, 2024
Loneliness becomes more prevalent as youth transition from childhood into adolescence. A key underlying process may be the puberty-related increase in biological stress reactivity, which can alter social behavior and elicit conflict or social withdrawal (fight-or-flight behaviors) in some youth, but increase prosocial (tend-and-befriend) responses…
Descriptors: Psychological Patterns, Puberty, Social Behavior, Models
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Brian John Winkel – International Journal of Mathematical Education in Science and Technology, 2024
We present a complete, soup to nuts, modeling activity of a falling column of water. Many colleagues have used this material in teaching applications of first order separable differential equations. We describe how the material can be presented with students collecting their own data from online videos. One can then either offer the differential…
Descriptors: Calculus, Learner Engagement, Video Technology, Mathematical Concepts
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Xiaohong Liu; Jianjun Gu; Jinlei Xu – International Journal of Technology and Design Education, 2024
Creativity and problem-solving are 21st-century skills that students must have to respond to the complex world dominated by technology. Teaching activities integrating Design Thinking (DT) have the potential to cultivate individual skills. As future in-service teachers, pre-service teachers need to understand DT so as to be able to use it in their…
Descriptors: Preservice Teachers, Design, Cognitive Processes, Models
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