Student Response Systems in Higher Education: Moving Beyond Linear Teaching and Surface Learning

Abstract

Over the past decade, instructors in colleges and universities increasingly have used Student Response Systems (SRSs)--typically in large classes to increase the level of student engagement and learning. Research shows that both students and instructors perceive SRSs to be beneficial, although evidence of improved learning has been less clear. Experts emphasize that instructors must consider how technology might enhance good pedagogy in order for increases in learning to occur. SRSs do increase student engagement and provide prompt feedback—two key practices that promote learning. However, professional groups propose goals for students in higher education that focus on deep learning rather than the knowledge-centered emphasis of many large classes. Recent research shows that SRSs coupled with pedagogical enhancements can promote deep learning when teaching and questioning strategies center on higher-level thinking skills. A framework integrating the levels of student responses with principles for good pedagogical practice is provided as a guide for using SRSs to foster deep learning

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 85 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.