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Virginia Tech

Student Perceptions of Screencasted Feedback

Abstract

dc:description.abstract

This study addresses student perceptions of screencasted feedback compared to traditional written comments. Screencasts allow instructors to provide audio-visual feedback on a student's essay that is captured directly from the instructor's computer using a screencasting software. Using survey results from 31 first year composition students, this study found that students generally perceived screencasted feedback to be easier to understand, more engaging, and more helpful than traditional written comments. It also found that students perceived a stronger rapport between themselves and their instructor after receiving screencasted feedback, and that students generally prefer receiving screencasted feedback over written comments on their essays. This study was not able to discern if student writing improved more with screencasted feedback compared to written comments, nor was it able to definitively say if students were more motivated to improve their writing after receiving screencasted feedback.

Degree

thesis:*
Name thesis:degree_name
Master of Arts
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
English
Department dc:contributor.department
English
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Harding, Jonathan M.
Chair dc:contributor.committeechair
  • Lindgren, Chris A.
Committee members dc:contributor.committeemember
  • Commer, Carolyn
  • Warnick, Quinn

Subjects

dc:subject × 2

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:15960
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/83843

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Harding, Jonathan M.. Student Perceptions of Screencasted Feedback. masters thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/83843