Tina Seufert
Papers
3
Total Citations
107
H-Index
3
About
Tina Seufert is a leading researcher in the field of learning and instruction, with a particular focus on the cognitive and metacognitive processes that underpin effective learning in technology-enhanced environments. Her work centers on immersive virtual reality learning environments (VRLEs), where she investigates how to optimize instructional design to foster deep, meaningful learning rather than superficial engagement. A major contribution is her exploration of how prompts—specifically elaboration prompts—can activate learners and guide them toward building coherent mental models, even in highly immersive settings. Her research also examines the critical role of sequencing in multimedia learning, demonstrating that presenting pictorial information before text can significantly improve comprehension. With her most-cited paper garnering 46 citations and her work on adaptive human-robot interaction reaching 37 citations, Seufert’s impact is clear. She has also pioneered studies on conflict resolution strategies for domestic service robots, bridging cognitive science and human-robot interaction. Her findings offer practical, evidence-based guidelines for educators and designers, making her a pivotal voice in the future of digital learning.
Research Focus
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Top Papers
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