Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…

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…

In support of new local and state discussions about how to most effectively utilize technology in the classroom, Project Tomorrow, in collaboration with Spectrum Business®, is publishing a new series of reports that examine each of the three digital divides (the access, design and use divides) through the lens of the Speak Up Research findings.…

Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…

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…

Games play a very important role in promoting incidental learning and help in exploring both the conscious and subconscious processes such as insight of a learner. Digital Game-Based Learning and assessments are now an integral part of educational practices. When designed effectively digital games can take the learners from the stage of…

In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…

Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

As a teacher in the San Antonio Independent School District, Addison Davis encountered a significant challenge--maintaining student engagement during the last periods of the school day. These periods often felt like a battle between his students' growing restlessness and his efforts to keep them focused on the content. Initially, he relied heavily…

Conventional team-based learning (TBL) uses a paper-based system to deliver a team-quiz component of the instructional method. We observed the use of this paper-based system in various settings and identified it could be challenging in a large classroom. Challenges include distributing paper answer cards, time to grade them, and additional…

A student's profile defines the best way a student chooses to learn. It comprises information on student's characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their…

In the wake of the COVID-19 boom in remote administration of language tests, it appears likely that remote administration will be a permanent fixture in the language testing landscape. Accordingly, language test providers, stakeholders, and researchers must grapple with the implications of remote proctoring on valid, fair, and just uses of tests.…

This paper explores the use of cameras and video recordings in educational contexts, employing the concepts of Panopticon, Synopticon, and Omniopticon as analytical frameworks. After discussing these three concepts as different models of power, we analyse how they encompass a range of distinctive approaches to leveraging cameras in educational…

Test takers wishing to gain an unfair advantage often share answers with other test takers, either sharing all answers (a full key) or some (a partial key). Detecting key sharing during a tight testing window requires an efficient, easily interpretable, and rich form of analysis that is descriptive and inferential. We introduce a detection method…