Text-based question difficulty prediction: A systematic review of automatic approaches

S AlKhuzaey, F Grasso, TR Payne… - International Journal of …, 2023 - Springer
Designing and constructing pedagogical tests that contain items (ie questions) which
measure various types of skills for different levels of students equitably is a challenging task …

The SIETTE automatic assessment environment

R Conejo, E Guzmán, M Trella - International Journal of Artificial …, 2016 - Springer
This article describes the evolution and current state of the domain-independent Siette
assessment environment. Siette supports different assessment methods—including classical …

[HTML][HTML] Fusing ECG signals and IRT models for task difficulty prediction in computerised educational systems

M Arevalillo-Herráez, S Katsigiannis, F Alqahtani… - Knowledge-Based …, 2023 - Elsevier
Accurately assessing task difficulty is a critical aspect to achieve adaptation in computer-
based educational systems. In real-world scenarios, task difficulty estimation can be …

Knowledge about others' knowledge: how accurately do teachers estimate their students' test scores?

MA Güzel, TO Başokçu - Metacognition and Learning, 2023 - Springer
Besides learners' awareness of their knowledge, a growing number of studies also
emphasise the importance of teachers' awareness of how well their students perform to …

A systematic literature review of methodology of learning evaluation based on item response theory in the context of programming teaching

JS Santos, WL Andrade, J Brunet… - 2020 IEEE Frontiers in …, 2020 - ieeexplore.ieee.org
This Research Full Paper presents a Systematic Literature Review (SLR) that investigates
state-of-the-art methods, processes, approaches, and instruments based on Item Response …

Deep-learning approach to educational text mining and application to the analysis of topics' difficulty

L Araujo, F López-Ostenero, J Martínez-Romo… - IEEE …, 2020 - ieeexplore.ieee.org
Learning analytics has emerged as a promising tool for optimizing the learning experience
and results, especially in online educational environments. An important challenge in this …

Exploring the relationship between homework task difficulty, student engagement and performance

R Lynch, A Hurley, O Cumiskey, B Nolan… - Irish Educational …, 2019 - Taylor & Francis
This article considers the relationship between differential homework task difficulty, student
engagement and performance across four Irish post-primary school sites. A total of 236 …

Field-testing multiple-choice questions with AI examinees: English grammar items

H Maeda - Educational and Psychological Measurement, 2024 - journals.sagepub.com
Field-testing is an essential yet often resource-intensive step in the development of high-
quality educational assessments. I introduce an innovative method for field-testing newly …

Automatic estimation of exercises' difficulty levels in a tutoring system for teaching the conversion of natural language into first‐order logic

I Perikos, F Grivokostopoulou, K Kovas… - Expert …, 2016 - Wiley Online Library
The estimation of the difficulty level of exercises is a fundamental aspect of intelligent
tutoring systems, and it is necessary in order to achieve better adaptation to the students' …

Novel Feature-Based Difficulty Prediction Method for Mathematics Items Using XGBoost-Based SHAP Model

X Yi, J Sun, X Wu - Mathematics, 2024 - mdpi.com
The level of difficulty of mathematical test items is a critical aspect for evaluating test quality
and educational outcomes. Accurately predicting item difficulty during test creation is thus …