PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 3, 2025AL-ISHLAH Jurnal PendidikanOpen Access

English Education Students' Perceptions of Automated vs Human Assessment in Spoken English Proficiency

View Full Paper
Ask AI
Bookmark
Share

Authors

NANur AeniMMMuhalim MuhalimHGHasriani Ganteng

Discussion

Loading...

Member takes

Overview

Mixed-methods study reveals preferences for hybrid models in English assessment, indicating concerns about automated evaluation fairness.

Key Points

  • Students generally favor a hybrid approach, valuing both automated and human assessment for spoken English proficiency.
  • Quantitative analysis showed positive perceptions of automated feedback, particularly in helping improve pronunciation and fluency.
  • Qualitative insights highlighted concerns about algorithmic bias and the need for human empathy in evaluations.
  • The findings indicate a demand for transparent AI tools alongside human oversight to enhance language assessment frameworks.

Cite This Study

Aeni et al. (2025) studied this question.

synapsesocial.com/papers/68e03501f0e39f13e7fa397bhttps://doi.org/10.35445/alishlah.v17i3.7655
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automated versus peer assessment: Effects of learners' English public speaking2024 · 12 citations
  2. 2Navigating new Frontiers: university-level English language teachers' perceptions of AI-generated grammar exercises in language learning2025
  3. 3Students’ Perceptions of AI-Supported Learning in Fully Online General English Instruction2026
  4. 4Using AI for Students' Attitudes to Improve their Speaking Skills at a University2024 · 2 citations
  5. 5Students’ Perceptions of Feedback on Fluency and Pronunciation from AI and Teachers2025