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W. Holmes Finch; Jerrell C. Cassady; C. Addison Helsper – International Journal of Testing, 2024
The Academic Anxiety Scale (AAS; Cassady, 2022; Cassady et al., 2019) is a measure of the construct academic anxiety, which is a generalized representation of anxieties experienced by learners in educational settings. Academic anxiety has been identified as a preclinical indicator of anxiety that provides important predictive utility to clinical…
Descriptors: Validity, Anxiety, Academic Achievement, Behavior Rating Scales
Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
Anagha Ani; Ean Teng Khor – Education and Information Technologies, 2024
Predictive modelling in the education domain can be utilised to significantly improve teaching and learning experiences. Massive Open Online Courses (MOOCs) generate a large volume of data that can be exploited to predict and evaluate student performance based on various factors. This paper has two broad aims. Firstly, to develop and tune several…
Descriptors: MOOCs, Classification, Artificial Intelligence, Prediction
Sami Mahajna; Ayman Agbaria; Mohanad Mustafa – Irish Educational Studies, 2024
The main purpose of the present study was to examine the typology of Palestinian student-teachers living in Israel according to four variables: (a) the type of motivation, (b) perceived suitability, (c) career choice satisfaction and (d) student-teacher commitment. Data were collected from 113 first-year Palestinian Arab students studying at…
Descriptors: Student Teachers, Student Characteristics, Classification, Place of Residence
Lucrecia Santibañez; Michael A. Gottfried; Jennifer A. Freeman – Educational Researcher, 2024
This article used a rich longitudinal data set from four school districts in California to study absenteeism patterns among students classified as an English learner (EL). We looked at absence patterns overall and disaggregated by EL classification, grade level, and pre/post COVID-19. When their demographic and school-level factors are considered,…
Descriptors: English Language Learners, School Districts, Instructional Program Divisions, Age Differences
Tao Jiang; Hai Feng Qian; Fu Qiang Li; Tai Jun Wang – International Journal of Science Education, 2025
The education system strives to help students from low-income families achieve academic success. Academic resilience is related to not only individuals but also classrooms and schools. This study aimed to construct a comprehensive resilience model in science domains that presents the image of resilient students and describes the mechanisms by…
Descriptors: Classification, Secondary School Students, Resilience (Psychology), Academic Achievement
Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
Raymond Ankrum – Journal of Education and Learning, 2025
This qualitative study explores the strategies employed by Black male principals to foster and sustain parent engagement in urban charter schools with a predominantly Black student body. Grounded in Epstein's (1995) typology of parent involvement and Bass's (2020) theory of Black Masculine Care (BMC) reveals that these principals leverage their…
Descriptors: African Americans, Principals, Urban Schools, Charter Schools
Jamiu Adekunle Idowu – International Journal of Artificial Intelligence in Education, 2024
This systematic literature review investigates the fairness of machine learning algorithms in educational settings, focusing on recent studies and their proposed solutions to address biases. Applications analyzed include student dropout prediction, performance prediction, forum post classification, and recommender systems. We identify common…
Descriptors: Algorithms, Dropouts, Prediction, Academic Achievement
Bülent Basaran – Education and Information Technologies, 2024
This study aims to classify student profiles based on the type and frequency of Information and Communication Technologies (ICT) usage. Each profile exhibits homogeneous characteristics and heterogeneous characteristics compared to other groups. Additionally, the study investigates whether covariates at the school and student levels create…
Descriptors: Foreign Countries, International Assessment, Secondary School Students, Achievement Tests
Mary Elizabeth Lockhart; Oi-Man Kwok; Myeongsun Yoon – International Journal of Science Education, 2024
The construct of science identity has been gaining attention across various domains in the educational arena. To date, however, no studies have used a person-centered quantitative approach within science identity research that is based upon traditional identity theory. Hence, there is an absence of a theoretical underpinning of the number of…
Descriptors: Sciences, Self Concept, Classification, Rural Schools
Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2024
We present two types of validity evidence to support inferences and decisions about use of easyCBMs in relation to state testing programs. The first type involves the use of Benchmarks in reading to use in making predictions of performance on the Smarter Balanced (SB) test. These predictions can be made both well in advance (several months) or…
Descriptors: Classification, Accuracy, Validity, Criteria
Tim Gill – Research Matters, 2025
One of the main aims of Core Maths qualifications when they were introduced into the post-16 curriculum in 2014 was to help students develop their understanding of maths and its application to different subject areas, particularly in relation to further study (e.g., higher education). In this article, we explore whether Core Maths is fulfilling…
Descriptors: Mathematics Education, Classification, Educational Benefits, Dropout Rate
Jennifer L. Steele – Education Economics, 2024
The question of why postsecondary institutions produce different labor market outcomes is difficult to answer due to unobserved student characteristics. Here, I leverage students' geographic proximity to three classifications of postsecondary institutions -- earnings-enhancing, competitive, and Historically Black Colleges and Universities (HBCUs).…
Descriptors: Outcomes of Education, Black Colleges, Selective Admission, Institutional Characteristics
Tiffany Wu; Christina Weiland – Society for Research on Educational Effectiveness, 2024
Background/Context: Chronic absenteeism is a serious problem that has been linked to lower academic achievement, diminished socioemotional skills, and an increased likelihood of high school dropout (Allensworth et al., 2021; Gottfried, 2014). As a result, many schools have begun to embrace early warning systems (EWS) as a tool to identify and flag…
Descriptors: Attendance, Early Childhood Education, Intervention, Artificial Intelligence
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