“We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students

Artificial intelligence (AI) technologies have the potential to enhance learning, teaching, and assessment by providing AI-generated feedback to students. This study used five different AI plug-ins and four different knowledge bases for the optimization of feedback in classroom formative assessments. The sample consisted of 26 students and 13 teachers at five secondary schools in Norway. Interviews and unstructured observations were used to collect data. The findings indicate that AI-generated feedback is appreciated by both students and teachers. It provides immediate subject-specific, concrete, and relevant feedback. High-performing students were motivated to further improve their writing. However, some students found the feedback to be too general or complicated, and the teachers who had not conducted whole-term periodic planning struggled with using AI for formative assessment purposes. Finally, both students and teachers contend that the teacher needs to have the last word when AI takes over formative feedback procedures.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2025-01-09
DOI
https://doi.org/10.3390/educsci15010058
Citations
14
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
124.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

“We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students

Tony Burner, Yngve Lindvig, Jarl Inge Wærness
14 citations
Education Sciences
Student Assessment and Feedback
124.97
article

“We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students

Tony Burner, Yngve Lindvig, Jarl Inge Wærness
article en
14 citations

Abstract

Artificial intelligence (AI) technologies have the potential to enhance learning, teaching, and assessment by providing AI-generated feedback to students. This study used five different AI plug-ins and four different knowledge bases for the optimization of feedback in classroom formative assessments. The sample consisted of 26 students and 13 teachers at five secondary schools in Norway. Interviews and unstructured observations were used to collect data. The findings indicate that AI-generated feedback is appreciated by both students and teachers. It provides immediate subject-specific, concrete, and relevant feedback. High-performing students were motivated to further improve their writing. However, some students found the feedback to be too general or complicated, and the teachers who had not conducted whole-term periodic planning struggled with using AI for formative assessment purposes. Finally, both students and teachers contend that the teacher needs to have the last word when AI takes over formative feedback procedures.

Education SciencesVol. 15(1)
University of South-Eastern Norway (NO), Learn By Motion (NO)
Quality Education
Openalex Percentile: Top 0%
Student Assessment and Feedback
124.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

“We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students — Tony Burner, Yngve Lindvig, et al. · Education Sciences (2025) | TGRS Research Map | TGRS