Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…

Online learning has grown due to the advancement of technology and flexibility. Online examinations measure students' knowledge and skills. Traditional question papers include inconsistent difficulty levels, arbitrary question allocations, and poor grading. The suggested model calibrates question paper difficulty based on student performance to…

As the world reeled from the realization that a pandemic of a magnitude not seen in a century was upon us, and that physical distancing to reduce the speed of transmission was going to necessitate suspension of regular classes, university faculty members scrambled to convert their planned lectures from in-person to online formats. This article…

Many educators consider grades calculated from statistical algorithms more accurate, objective, and reliable than grades they calculate themselves. But in this research, the authors first asked teachers to use their professional judgment to choose a summary grade for hypothetical students. When the researchers compared the teachers' grade with the…

This paper attempts to address the possibility of real change after a hundred years of exam-based assessments that produce a single mark or grade as feedback on students' progress and abilities. It uses visual feedback and analysis of graduate attribute assessment to foreground the diversity of aspects of a student's performance across subject…

Current and emerging technologies enable Open Distance Learning (ODL) institutions integrate e-Learning in innovative ways and add value to the existing teaching-learning and assessment processes. ODL e-Assessment systems have evolved from Computer Assisted/Aided Assessment (CAA) systems through intelligent assessment and feedback systems.…

Although technology for automatic grading of multiple choice exams has existed for several decades, it is not yet as widely available or affordable as it should be. The main reasons preventing this adoption are the cost and the complexity of the setup procedures. In this paper, "Eyegrade," a system for automatic grading of multiple…

Automated essay scoring programs are becoming more common and more technically advanced. They provoke strong reactions from both their advocates and their detractors. Arguments tend to fall into two categories: technical and principled. This paper argues that since technical difficulties will be overcome with time, the debate ought to be held in…

The COVID-19 pandemic poses significant challenges for higher education across the UK. This year's cohort of university applicants now face months of uncertainty, as they try to make decisions on their future amid exam cancellations and a new system to determine grades, all without face-to-face support from their school. For students currently…

This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…

In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…

Summary writing is an important part of many English Language Examinations. As grading students' summary writings is a very time-consuming task, computer-assisted assessment will help teachers carry out the grading more effectively. Several techniques such as latent semantic analysis (LSA), n-gram co-occurrence and BLEU have been proposed to…

This study aimed to explore the effects of marking and metacognition-evaluated feedback (MEF) in computer-based testing (CBT) on student performance and review behavior. Marking is a strategy, in which students place a question mark next to a test item to indicate an uncertain answer. The MEF provided students with feedback on test results…

This article details the implementation and use of a "Review Stage" within the CAP (computerised assessment by peers) tool as part of the assessment process for a post-graduate module in e-learning. It reports upon the effect of providing the students with a "second chance" in marking and commenting their peers' essays having been able to view the…

Effective criterion referenced assessment requires grade descriptors to clarify to students what skills are required to gain higher grades. But do students and staff actually have the same perception of the grading system, and if so, do they perform better than those whose perceptions are less accurately aligned with those of staff? Since…