The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…

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…

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…

Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…

Scoring of teachers' noticing responses is typically burdened with rater bias and reliance upon interrater consensus. The authors sought to make the scoring process more objective, equitable, and generalizable. The development process began with a description of response characteristics for each professional noticing component disconnected from…

In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…

Intelligent tutoring systems (ITS), like human tutors, try to adapt to student's knowledge level so that the instruction is tailored to their needs. One aspect of this adaptation relies on the ability to have an understanding of the student's initial knowledge so as to build on it, avoiding teaching what the student already knows and focusing on…

Content balancing is one of the most important components in the computerized adaptive testing (CAT) especially in the K to 12 large scale tests that complex constraint structure is required to cover a broad spectrum of content. The purpose of this study is to compare the weighted penalty model (WPM) and the weighted deviation method (WDM) under…

The No Child Left Behind (NCLB) legislation spawned a plethora of standardized testing services for all the high stakes testing required by the law. We argue that one-size-fits all assessments disadvantage students who are English Language Learners, in the USA, as well as students with limited economic resources, special needs, and not reading on…

This study was designed to determine the degree of use, level of client satisfaction of professional development and educational services, and to identify suggestions for improving services. Results from a mixed methodology approach indicated moderate to high levels of satisfaction in two program areas and moderate to high levels of…

It is unrealistic to suppose that standard item response theory (IRT) models will be appropriate for all new and currently considered computer-based tests. In addition to developing new models, researchers will need to give some attention to the possibility of constructing and analyzing new tests without the aid of strong models. Computerized…

The videodisc, audiodisc, overlapping instruction, mapping, adaptive testing strategies, intricate instructional branching, and complex media selection models are common expectations for quality courseware today. A two team development structure, consisting of an instructional development team and a test development team, is proposed. This paper…

This paper argues that the most important role the intelligent videodisc can fulfill is to provide a mechanism for effectively integrating testing and instruction. This integration will produce at least four important benefits: (1) increased learning by the student, (2) more interesting instructional materials, (3) gains in the efficiency of…

This paper provides a technology-based review of World Wide Web-based testing technologies. It suggests an evaluation framework that could be used by practitioners in Web-based education to understand and compare features available in various Web-based testing systems. In order to compare existing options, the life cycle of a question in Web-based…

A study was conducted to evaluate the effects of choice of item response theory (IRT) model, parameter calibration group, starting ability estimate, and stopping criterion on the conversion of an 80-item vocabulary test to computer adaptive format. Three parameter calibration groups were tested: (1) a group of 1,000 high school seniors, (2) a…