Simulated testing has become more prevalent in higher education, especially as competency-based institutions begin to incorporate micro-credentials and skills certificates into their curriculum. Competency-based assessment falls outside traditional norm-based testing practices used in K-12 education, and is largely focused on criterion referenced…

This study sought to determine whether an evaluator conducting electronic course evaluations in person in a classroom increased response rates. At a large public university in the United States, course evaluations were being conducted electronically, attaining a response rate of <50% over several semesters. At the end of the Spring 2015 at this…

Computer-based assessment (CBA) is an important area of e-learning research. Most studies of CBA technology add new constructs to existing user acceptance models and rarely consider the moderating effects. However, the self-regulation (SR) levels (i.e., high or low) in an e-learning environment substantially affect individual learning behaviour…

The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2019 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2019…

The New York State Education Department (NYSED) has a partnership with Questar Assessment Inc. (Questar) for the development of the 2019 Grades 3-8 English Language Arts Tests. Teachers from across the State work with NYSED in a variety of activities to ensure the validity and reliability of the New York State Testing Program (NYSTP). The 2019…

Computerized adaptive testing (CAT), which was first developed four decades ago, begins with a large pool of questions and then selects individual questions for test takers, depending on their responses as they progress. As the test taker answers questions correctly, the questions become more difficult. As the test taker answers incorrectly, the…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…

Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…

Using self-paced reading, the present study compared native English and adult L1-Korean-L2-English speakers' processing behaviors during online comprehension of underinformative scalar sentences and non-scalar sentences like "Some/All elephants have trunks and ears." Results indicate that native speakers showed online sensitivity (i.e.…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Online teacher education programs can be more situated by engaging student teachers in Internet-based collaborative reflection (ICR) and e-learning-oriented assessment (ELOA) via Web 2.0 technology. Thus, this study explored how the role of English-as-a-foreign-language (EFL) student teachers' ICR practices and ELOA can enhance student teachers'…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…

Nowadays, mathematics education providing challenging, interesting, interactive and technology-oriented learning experiences to students attracts attention both in research and practice. Among those experiences, competitions, due to their role of integrating the interest and desire of students to compete in education, challenging their potentials…