[vc_row][vc_column][vc_column_text] << Return to Programme Assessment Chair: Lei Shi 10:30-11:00 Detecting LLM-Generated Short Answers and Effects on Learner Performance Shambhavi Bhushan, Danielle R Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta and Kenneth Koedinger 11:00-11:30 Prompt vs. Supervise: A Case of Using Language Models to Assess Students’
Start
18/09/2025 - 10:30
End
18/09/2025 - 12:30
Assessment
Chair: Lei Shi
10:30-11:00
Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta and Kenneth Koedinger
Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta and Kenneth Koedinger
11:00-11:30
Prompt vs. Supervise: A Case of Using Language Models to Assess Students’ Science Explanations
Shamya Karumbaiah, Ananya Ganesh and Shanglin Yang
Prompt vs. Supervise: A Case of Using Language Models to Assess Students’ Science Explanations
Shamya Karumbaiah, Ananya Ganesh and Shanglin Yang
11:30-12:00
Automated Approaches for Concept Map Assessment: A Systematic Review
Laís Pisetta Van Vossen, Joice Luiz Jeronimo, Elaine Harada Teixeira de Oliveira and Isabela Gasparini
Automated Approaches for Concept Map Assessment: A Systematic Review
Laís Pisetta Van Vossen, Joice Luiz Jeronimo, Elaine Harada Teixeira de Oliveira and Isabela Gasparini
12:00-12:30
Code-aware LLM prompting in deductive qualitative analysis: A study in multi-framework analysis of learning designs ⭐
María Jesús Rodríguez-Triana, Mohamed Saban, Juan I. Asensio-Pérez, Luis P. Prieto, Inmaculada Haba-Ortuño, Cristina Villa-Torrano and Denis Gillet
Code-aware LLM prompting in deductive qualitative analysis: A study in multi-framework analysis of learning designs ⭐
María Jesús Rodríguez-Triana, Mohamed Saban, Juan I. Asensio-Pérez, Luis P. Prieto, Inmaculada Haba-Ortuño, Cristina Villa-Torrano and Denis Gillet
⭐ Nominated to “Best Paper” Award.