Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…

Assessing the difficulty of reading comprehension questions is crucial to educational methodologies and language understanding technologies. Traditional methods of assessing question difficulty rely frequently on human judgments or shallow metrics, often failing to accurately capture the intricate cognitive demands of answering a question. This…

The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

The COVID-19 pandemic situation spreading around the world had brought dynamic changes in every field of life since 2019, especially in the learning processes. The processes of learning were done by using online platform. In a sudden shift in the learning processes, students were forced to adapt. Consequently, the processes of online learning…

The use of Learning Management System (LMS) is widespread in academic institutions across worldwide as technology integration in education keeps evolving. This study aims at investigating students' acceptance of using LMS for online testing. Additionally, the study seeks to thoroughly examine the reasons that lead to their acceptance of this…

Based on an exhaustive study from 2001-2003 involving 14 high schools in the EU, a definition of the educational content and the aligned methodology for high school levels was developed for two areas--cyber safety and cybersecurity--with the aim of improving the knowledge and skills of students and their teachers. Available sources, including…

Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…

Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…

An important issue about testing and assessment is that despite their significant role as item writers, assessors, or decision-makers, teachers' perception of testing and assessment in the English as a foreign language (EFL) context and how their perception differs with certain variables are usually ignored. This study aims to explore teachers'…