MARC

LEADER 00000nab a2200000uu 4500
001 3159411507
003 UK-CbPIL
022 |a 2227-7102 
022 |a 2076-3344 
024 7 |a 10.3390/educsci15010058  |2 doi 
035 |a 3159411507 
045 2 |b d20250101  |b d20251231 
084 |a 231457  |2 nlm 
100 1 |a Burner, Tony  |u Department of Languages and Literature Studies, University of South-Eastern Norway, 3045 Drammen, Norway 
245 1 |a “We Should Not Be Like a Dinosaur”—Using AI Technologies to Provide Formative Feedback to Students 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
610 4 |a OpenAI 
651 4 |a Norway 
653 |a SWOT analysis 
653 |a Students 
653 |a Curricula 
653 |a Workloads 
653 |a Teachers 
653 |a Chatbots 
653 |a Innovations 
653 |a Schools 
653 |a Knowledge 
653 |a Surveillance 
653 |a General Data Protection Regulation 
653 |a Education 
653 |a Learning 
653 |a Writing 
653 |a Formative evaluation 
653 |a Automation 
653 |a Generative artificial intelligence 
653 |a Accountability 
653 |a Planning 
653 |a Integrated approach 
653 |a Literacy 
653 |a Learning Analytics 
653 |a Critical Thinking 
653 |a Curriculum Development 
653 |a Expertise 
653 |a Lesson Plans 
653 |a Elementary Education 
653 |a Effect Size 
653 |a Artificial Intelligence 
653 |a Evaluative Thinking 
653 |a Educational Assessment 
653 |a Computer Assisted Testing 
653 |a Intelligent Tutoring Systems 
653 |a Influence of Technology 
653 |a Curriculum Design 
653 |a Learning Processes 
653 |a Computers 
653 |a Assessment Literacy 
653 |a Computer Assisted Instruction 
653 |a Feedback (Response) 
653 |a Elementary School Students 
653 |a Elementary Schools 
653 |a Holistic Approach 
653 |a Educational Facilities Improvement 
700 1 |a Lindvig, Yngve  |u Learnlab, 0164 Oslo, Norway; <email>yngve@learnlab.net</email> (Y.L.); <email>jarlinge@learnlab.net</email> (J.I.W.) 
700 1 |a Wærness, Jarl Inge  |u Learnlab, 0164 Oslo, Norway; <email>yngve@learnlab.net</email> (Y.L.); <email>jarlinge@learnlab.net</email> (J.I.W.) 
773 0 |t Education Sciences  |g vol. 15, no. 1 (2025), p. 58 
786 0 |d ProQuest  |t Education Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3159411507/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3159411507/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3159411507/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch