The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…

The aim of this research is to examine the pre-service teachers' opinions on online assessment during the COVID-19 process. In the study, which was designed with a phenomenological design, data were collected from 138 teacher candidates with a structured interview form consisting of open-ended questions created by the researchers and analyzed by…

A partially-automated method of assessment is proposed, in which automated question setting is used to generate individualized versions of a coursework assignment, which is completed by students and marked by hand. This is designed to be (a) comparable to a traditional written coursework assignment in validity, in that complex and open-ended tasks…

In MOOCs for programming, Automated Testing and Feedback (ATF) systems are frequently integrated, providing learners with immediate feedback on code assignments. The analysis of the large amounts of trace data collected by these systems may provide insights into learners' patterns of utilizing the automated feedback, which is crucial for the…

Online quizzes and learning platforms provided by textbook publishers have become common components of undergraduate education. Here, I examine how participation in these formative assessments related to student course performance. Over multiple semesters, students completed either free online unlimited attempt quizzes or assignments from a…

This study examined faculty and student perceptions of renewable assignments within an OER-enabled pedagogy framework. Building on Wiley and Hilton's (2018) framework, this study focused on the subset of practices that result in renewable assignments. Renewable assignments leverage OER permissions (reuse, redistribute, retain, remix, revise) to…

The current paper focusses on the teachers' attitude towards and experiences with e-learning tools at two universities in different phases of e-learning implementation. The study population comprises teachers at university level and a simple random sampling method was used. A total of 45 teachers in bachelor programmes from the Faculty of…

Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…

The purpose of this study was to connect the learning school of computer education students at Dehasen University Bengkulu in using google class. This type of research is descriptive qualitative. Respondents' answers using the google form application. Data were analyzed by stages of reduction, display and conclusion drawing or verification. The…

This study examines business students' learning and assessment under remote teachings during the COVID-19 pandemic in a well-established Finnish university. A survey method is used to collect information on 336 business students including 42 accounting students. As indicated by students' responses, a majority of the students succeeded in assessing…

This study investigates unproctored assignment-based assessment implementation in an online teaching environment compared to on-site assessment. A mixed-method research approach was conducted with the participation of 284 English-major students, 6 teachers, and 4 experts at a university in Vietnam. Data collection instruments included a…

Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…

One significant challenge in the field of measuring ability is measuring the current ability of a learner while they are learning. Many forms of inference become computationally complex in the presence of time-dependent learner ability, and are not feasible to implement in an online context. In this paper, we demonstrate an approach which can…

The COVID-19 Pandemic has resulted the change in every sector of life. Education institutions transform their learning methods from face-to-face learning to online-based distance learning to keep the learning process running during the pandemic era. The purpose of this study is to obtain the description and analysis results regarding learning…

COVID-19 has affected university students' learning experiences on a great scale. The aim of this study was to understand the enablers and barriers to the effectiveness of online learning in a university course during the COVID-19 pandemic, using a qualitative case study approach. Participants were 44 first-year university students enrolled in a…