The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach,…

We developed a hands-on course in molecular biology for undergraduate underrepresented in medicine (URM) students. To incentivize student preparation for team-based learning (TBL) activities, we implemented a novel grading schema that requires a minimum individual readiness assurance test (iRAT) score to share the team group readiness assurance…

This article presents the original model of the computer adaptive testing and grade formation, based on scientifically recognized theories. The base of the model is a personalized algorithm for selection of questions depending on the accuracy of the answer to the previous question. The test is divided into three basic levels of difficulty, and the…

This paper reports on the outcomes of a three-year study investigating the use of digital technologies to increase the authenticity of high-stakes summative assessment in four Western Australian senior secondary courses. The study involved 82 teachers and 1015 students and a range of digital forms of assessment using computer-based exams, digital…

As a result of the Canterbury earthquake on 4 September 2010, and associated aftershocks on 22 February 2011 and 13 June 2011, final examinations in the two first-year Economics papers at Canterbury University were cancelled at short notice in Semester 1, 2011. The final examination weightings were spread over the remaining assessments to obtain a…

We present a novel approach to the automated marking of student programming assignments. Our technique quantifies the structural similarity between unmarked student submissions and marked solutions, and is the basis by which we assign marks. This is accomplished through an efficient novel graph similarity measure ("AssignSim"). Our experiments…

This paper describes a study comparing paper-based marking (PBM) and onscreen marking (OSM) in Hong Kong utilising English language essay scripts drawn from the live 2007 Hong Kong Certificate of Education Examination (HKCEE) Year 11 English Language Writing Paper. In the study, 30 raters from the 2007 HKCEE Writing Paper marked on paper 100…

This paper reports on a case study that evaluates the validity of assessing students via a computerized peer-marking process, rather than on their production of an essay in a particular subject area. The study assesses the higher-order skills shown by a student in marking and providing consistent feedback on an essay. In order to evaluate the…

The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…