One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…

This study aims to find out the level of students' hitting skills and student responses after using ball-hitting skills. This type of research is a mixed method with an explanatory model. The sampling technique used was purposive sampling with a sample of 30 students who were active and contracted in the cricket courses. Before collecting data,…

Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…

This pilot study looks at how the author proactively sought to mitigate the issue of cheating when giving online tests during the Spring 2021 semester, at a time when the COVID-19 pandemic forced many teachers around the world to use modalities that involved distance learning. The genesis, implementation and results of the strategy used during the…

The aim of this quasi-experimental study was to incorporate a cardiac simulation into a computer exam for Level 4 nursing students to determine if it would affect their anxiety levels and overall scores. Nursing education must constantly improve as technology and evidence-based practice evolves the world of healthcare. Literature regarding…

Special education laws set clear and stringent deadlines for school psychologists to complete eligibility or reevaluation assessments that are valid and comprehensive. Prior to the COVID-19 pandemic, these assessments primarily took place face-to-face and aligned with standardized assessment practices. School closures and virtual learning…

Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…

Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…

Team-based learning (TBL) is an active learning instructional strategy shown to improve student learning in large-enrollment courses. Although early implementations of TBL proved generally effective in an undergraduate exercise physiology course that delivered an online individual readiness assurance test (iRAT) before class, the instructor…

Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor.…

Using item-response theory to model rater effects provides an alternative solution for rater monitoring and diagnosis, compared to using standard performance metrics. In order to fit such models, the ratings data must be sufficiently connected in order to estimate rater effects. Due to popular rating designs used in large-scale testing scenarios,…

This study aims to see the effect of student perceptions on web-based character assessment on the results of student character assessment. The population in this study was a junior high school in Batanghari Regency with a sample of 322 students using the purposive sampling technique. Quantitative methods are used in this study with descriptive and…

We introduce a short answer scoring engine made up of an ensemble of deep neural networks and a Latent Semantic Analysis-based model to score short constructed responses for a large suite of questions from a national assessment program. We evaluate the performance of the engine and show that the engine achieves above-human-level performance on a…

This study presents the results of a sequential explanatory mixed-method approach to investigate the Iranian English language non-gainers of a computerized dynamic reading comprehension test (CDRT) by utilizing a learning style survey. Using an interventionist approach, the researchers used the CDRT software to explore English learners' perceptual…

Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…