reviewComputers and Education Artificial IntelligenceJan 21, 2024GOLD OA

Automatic assessment of text-based responses in post-secondary education: A systematic review

RGRujun GaoHMHillary MerzdorfSASaira AnwarMCM. Cynthia HipwellARArun R. Srinivasa

Texas A&M University

Indexed incrossrefdoaj

Abstract

Text-based open-ended questions in academic formative and summative assessments help students become deep learners and prepare them to understand concepts for a subsequent conceptual assessment. However, grading text-based questions, especially in large (>50 enrolled students) courses, is tedious and time-consuming for instructors. Text processing models continue progressing with the rapid development of Artificial Intelligence (AI) tools and Natural Language Processing (NLP) algorithms. Especially after breakthroughs in Large Language Models (LLM), there is immense potential to automate rapid assessment and feedback of text-based responses in education. This systematic review adopts a scientific and…

Citation impact

107
total citations
FWCI
34.23
Percentile
100%
References
80
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Authors

5

Topics & keywords

Topics
Keywords
  • Formative assessment
  • Summative assessment
  • Computer science
  • Grading (engineering)
  • Process (computing)
  • Artificial intelligence
  • Systematic review
  • Inclusion (mineral)
UN Sustainable Development Goals
  • Quality Education
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