XI Conference – European Congress of Methodology

Session

Symposium : "Artificial Intelligence and Large Language Models: Item Development and Validation, Educational Interventions, and Emotion Analysis of Videos"

23 Jul 2025, 15:00

323. Leveraging AI Tutors to Enhance Student Learning: A Controlled Educational Intervention Study

23/07/2025, 15:00

Oral Presentation

This study investigates the effectiveness of AI-tutored learning environments in implementing evidence-based learning techniques among undergraduate students. Drawing from cognitive science principles, particularly those outlined in Willingham’s (2023) work, we developed an innovative intervention utilizing AI tutors to simulate personalized learning environments focused on three key areas:...

324. Generative Psychometrics via AI-GENIE: Automatic Item Generation and Validation via Network-Integrated Evaluation

23/07/2025, 15:20

Oral Presentation

The rapid advancement of artificial intelligence (AI), particularly large language models (LLMs), has introduced powerful tools for various research domains, including psychological scale development. This study presents a fully automated method to efficiently generate and select high-quality, non-redundant items for psychological assessments using LLMs and network psychometrics. Our approach...

325. Performance-Based Item Development and Validation in Silica: LLMs and Generative Psychometrics for Struc- tural Validity and Item Difficulty

23/07/2025, 15:40

Oral Presentation

Recent advances in large language models (LLMs) present opportunities for developing performance-based items in educational and psychological assessment. We introduce P-AI-GENIE (Performance-based Automatic Item Generation and Network-Integrated Evaluation), an extension of AI-GENIE that focuses on generating and validating performance items. The talk will cover how items can be developed and...

326. Decoding Emotion Dynamics in Videos using Dynamic Exploratory Graph Analysis and Zero-Shot Image Classification.

23/07/2025, 16:00

Oral Presentation

We propose a novel approach for modeling and understanding the dynamics of emotion facial expression recognition (FER) scores. Recent advancements in deep learning and transformer-based neural network architectures enable the time series analysis of FER scores extracted from images and videos. This type of data can be important for psychological research of affective dynamics and emotion...

162. Artificial Intelligence and Large Language Models: Item Development and Validation, Educational Interventions, and Emotion Analysis of Videos

Design/Research methods

Symposium