- Browse
Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
- Information Menu
Search Tips
- Navigation and Settings Menu
Change Preferences / Time Zone
Sign In
- Social Media Menu
Facebook
X (Twitter)
Tech-Driven Feedback: Leveraging Technology for Enhanced Learning and Assessment
Sat, April 13, 3:05 to 4:35pm, Philadelphia Marriott Downtown, Floor: Level 4, Franklin 13Session Type: Symposium
Abstract
This session focuses on the integration of educational technology to enhance assessment and feedback practices. The four presentations examine tools and methodologies that leverage technology to provide quality assessment and feedback. Researchers from the US, Germany, Italy, China, and Spain will explore technology's potential to empower learners and improve the learning experience. The four papers cover experimental studies on pre-tests and practice tests in Massive Open Online Courses (MOOCs), visual feedback design's impact on student reactions, academic development model validation for technology-enhanced assessment (TEA) in the Italian context, and a synthesis of technology-mediated self-assessment practices. This session's scholarly significance lies in providing actionable strategies to improve assessment practices, fostering better learning outcomes and student engagement in technology-enhanced learning environments worldwide.
Sub Unit
Chair
Papers
1. Feedback in Massive Open Online Courses: How It Works and How It Doesn’t - Anastasiya A. Lipnevich, City University of New York; Maria Janelli, Scratch Foundation; Carolina Lopera-Oquendo, City University of New York; Mi Jin Park, Graduate Center - CUNY; Felix Esser, Graduate Center - CUNY
2. How Visual Feedback Design Can Improve Students’ Affective Reactions to Automated, Negative Feedback Messages - Livia Kuklick, Humboldt University - Berlin; Marlit Annalena Lindner, IPN - Leibniz Institute for Science and Mathematics Education
Technology-Enhanced Assessment and Feedback: A Research to Inform an Academic Development Model - Federica Picasso, University of Trento; Anna Serbati, University of Trento; Paola Venuti, University of Trento
Technology-Mediated Self-Assessment in Higher Education: A Systematic Review - Xinyuan Cao, Education University of Hong Kong; Zi Yan, The Education University of Hong Kong; Ernesto Panadero, Dublin City University