In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

In classroom assessments, examinees can often answer test items multiple times, resulting in sequential multiple-attempt data. Sequential diagnostic classification models (DCMs) have been developed for such data. As student learning processes may be aligned with a hierarchy of measured traits, this study aimed to develop a sequential hierarchical…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

Today, many students are moving towards higher education courses that do not suit them and end up failing. The purpose of this study is to help provide counselors with better knowledge so that they can offer future students courses corresponding to their profile. The second objective is to allow the teaching staff to propose training courses…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

The present paper offers a definition of peer assessment and then reviews the major syntheses on its effectiveness. However, the main part of this paper is preoccupied with how to do PA successfully. A typology of 44 elements explains the differences between the many types of peer assessment. Then a theoretical model outlines some of the processes…

Although competency-based education (CBE) has existed since the early 1970s adult-focused degree programs, interest in CBE has spiked in recent years due to the increased attention on higher education affordability and accountability. This article reviews the extant literature on CBE to address the following questions: (a) What are the definitions…

This article presents the results of a national study of 39 higher education institutions that collected information about their practices for faculty development for online teaching and particularly the content and training activities used during 2011-2012. This study found that the most frequently offered training content (97% of the…

Institutional research (IR) has a variety of definitions. International societies, such as the US-based Association for Institutional Research (AIR), stress not so much the topics of research, but the outcomes: "improved understanding, planning, management, and operation of postsecondary educational institutions and agencies";…

This paper presents the results of a project on generating diagnostic feedback for guided learning in a first-year course on programming and a Master's course on software quality. An online multiple-choice questions (MCQs) system is integrated with neural network-based data analysis. Findings about how students use the system suggest that the…

There has been much recent discussion among educators on the topic of implementing a response to intervention (RTI) framework to identify special education needs for students with specific learning disabilities. There is good reason for such discussion, as all students benefit from RTI when implemented with integrity and fidelity. The result of…

Perhaps the greatest value of response to intervention (RTI) as a decision framework is that it brings attention to variables (e.g., mastery of prerequisite skills, frequency of instructional corrective feedback, reinforcement schedules for correct responding) that if changed might make a meaningful difference for students (e.g., child rate of…

Three studies are reported that assess 5-, 7- and 10-year-old children's cognitive inclusion of the ingroup in the self. Each study investigated a different ingroup: gender, family, and age group. Children were shown sets of cards identifying particular trait adjectives and were asked to rate the extent to which the traits applied to the self, the…