Machine learning methods can be used to reduce the manual workload in exam grading, making it possible for teachers to spend more time on other tasks. However, when it comes to grading exams, fully eliminating manual work is not yet possible even with very accurate automated grading, as any grading mistakes could have significant consequences for…

Automated assessment is well-established within computer science courses but largely absent from human--computer interaction courses. Automating the assessment of human--computer interaction (HCI) is challenging because the coursework tends not to be computational but rather highly creative, such as designing and implementing interactive…

The aim of this study was to document the university faculty members' views related to digital education during the COVID-19 pandemic and subsequently its influence on students' academic performance, encountered obstacles, and recognized prospects. A concurrent triangulation strategy by employing (QUAN+QUAL) mixed method design was used in this…

The shift to online platforms has heightened concerns about academic misconduct, particularly contract cheating, where students outsource work to third parties. While research has examined perceptions of this issue, less attention has been given to concrete teacher-led strategies, especially within English as a Foreign Language (EFL) contexts.…

Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…

This study examines log data from proctored examinations from two classes offered as part of a large online graduate program in computer science. In these two classes, students are permitted to access any internet content during their exams, which themselves have remained largely unchanged over the last several semesters. As a result, when ChatGPT…

Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to algorithms coursework. To understand the work that has been done in the area, we present a systematic survey and literature review of CS Education studies. We search for research that is both…

This conceptual study explores and proposes strategies for enhancing security and academic integrity within the Open and Distance e-learning (ODeL) context, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. As higher education continues to evolve, the reliance on online assessments has become more…

Purpose: To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.…

The current educational landscape is flooded with new technological tools, especially with the arrival of artificial intelligence, which is applicable at all levels of instructional practices. However, the application of technology in assessment in higher education has been understudied. This study focused on filling this research gap by examining…

This investigation elucidates the adoption and integration of Augmented Reality (AR) and Virtual Reality (VR) technologies within educational assessments, focusing on the distinctions between pre-service and in-service teachers. Leveraging an integrated theoretical framework that combines the General Extended Technology Acceptance Model for…

No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…

This study examines how authentic assessment could nurture students' epistemic agency: their sense of agency in using, evaluating and producing knowledge. Authentic assessment commonly emphasises 'realism' and 'employability skills'. As important as these ideas are, this approach to authentic assessment neglects the key academic value of…

The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…

Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…