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Lauren Weisberg

University of Florida · US
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Area of research
Computer Science Applications · Education
Research interest
Research topics from publications: Competency model development: The backbone of successful stealth assessments. Representative work: Abstract Background Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real‐time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the learning experience to their specific needs. This adaptability is closely intertwined with theories related to learning, engagement, and motivation. The foundation of stealth assessment rests on evidence‐cantered design (ECD), consisting of four core models: the Competency Model (CM), Evidence Model, Task Model, and Assembly Model. Objective The f
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Recent publications

Competency model development: The backbone of successful stealth assessments
Journal of Computer Assisted Learning 2024cited by 5position: middledoi

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Frequent collaborators

Seyedahmad Rahimi · University of Florida1 papers (2024–2024)Bowen Wang · Australian National University1 papers (2024–2024)Jie Lu · Fudan University1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024) · 1 papers (2024–2024)Eric G. Wright · University of Florida1 papers (2024–2024)Yukyeong Song · University of Florida1 papers (2024–2024)Xiaolan Wang · Guangdong University of Technology1 papers (2024–2024)
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