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Do Adults Assess Themselves More Leniently or Stringently Than Assessing Peers? Difference Between Online Self-assessment and Peer Assessment

  • Chi Cheng Chang
  • , Wan Hsuan Yen*
  • , Ju Shih Tseng
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This study was to examine the difference between adults’ self-assessment and peer assessment. The participants were adult learners who used the web-based assessment system to assess themselves and assess their peers. Results revealed that the difference between assessing self and assessing peers was significant, while assessing self was more lenient or higher than assessing peers. Self-under-estimators had better peer-referenced stringency than the other two types of self-assessor. Self-assessor type influenced the difference between the two assessment modes, and influenced the stringency of self-assessment. The study finally provides valued implications in terms of theory and practice.

Original languageEnglish
Title of host publicationInnovative Technologies and Learning - 9th International Conference, ICITL 2026, Proceedings
EditorsChia-Ju Lin, Andreja Istenic, Andreja Istenic, Andreja Istenic, Tien-Chi Huang, Yueh-Min Huang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages52-59
Number of pages8
ISBN (Print)9783032321145
DOIs
Publication statusPublished - 2027
Event9th International Conference on Innovative Technologies and Learning, ICITL 2026 - Ljubljana, Slovenia
Duration: 2026 Aug 4 → 2026 Aug 6

Publication series

NameLecture Notes in Computer Science
Volume16842 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Innovative Technologies and Learning, ICITL 2026
Country/TerritorySlovenia
CityLjubljana
Period2026/08/04 → 2026/08/06

Keywords

  • Overestimate
  • Peer assessment
  • Self-assessment
  • Underestimate

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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