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Mo Zhang; Paul Deane; Andrew Hoang; Hongwen Guo; Chen Li – Educational Measurement: Issues and Practice, 2025
In this paper, we describe two empirical studies that demonstrate the application and modeling of keystroke logs in writing assessments. We illustrate two different approaches of modeling differences in writing processes: analysis of mean differences in handcrafted theory-driven features and use of large language models to identify stable personal…
Descriptors: Writing Tests, Computer Assisted Testing, Keyboarding (Data Entry), Writing Processes
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Ashima Kukkar; Rajni Mohana; Aman Sharma; Anand Nayyar – Education and Information Technologies, 2024
In the profession of education, predicting students' academic success is an essential responsibility. This study introduces a novel methodology for predicting students' pass or fail outcome in certain courses. The system utilises academic, demographic, emotional, and VLE sequence information of students. Traditional prediction methods often…
Descriptors: Predictor Variables, Academic Achievement, Pass Fail Grading, Long Term Memory
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Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
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Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
Abedtash, Hamed – ProQuest LLC, 2017
Precision medicine refers to the delivering of customized treatment to patients based on their individual characteristics, and aims to reduce adverse events, improve diagnostic methods, and enhance the efficacy of therapies. Among efforts to achieve the goals of precision medicine, researchers have used observational data for developing predictive…
Descriptors: Medical Evaluation, Records (Forms), Patients, Information Technology
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Forslund Frykedal, Karin; Samuelsson, Marcus – Scandinavian Journal of Educational Research, 2016
This article explores students' accommodation and resistance while participating in group work. The data collected are from fieldwork observations in several classrooms over the course of four terms in different secondary school classes in Sweden, and also from interviews with the students. Through this data analysis, we report that the students…
Descriptors: Cooperative Learning, Groups, Student Attitudes, Secondary School Students
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von Davier, Alina A.; Halpin, Peter F. – ETS Research Report Series, 2013
Collaboration is generally recognized as a core competency of today's knowledge economy and has taken a central role in recent theoretical and technological developments in education research. Yet, the methodology for assessing the learning benefits of collaboration continues to rely on educational tests designed for isolated individuals. Thus,…
Descriptors: Cooperative Learning, Problem Solving, Research, Psychometrics
Gemici, Sinan; Lim, Patrick; Karmel, Tom – National Centre for Vocational Education Research (NCVER), 2013
This report uses Longitudinal Surveys of Australian Youth (LSAY) data to look at the impact of schools on a student's tertiary entrance rank (TER) and the probability of them going to university (controlling for TER). It shows that the characteristics of schools do matter: although young people's individual characteristics are the main drivers of…
Descriptors: Academic Achievement, Factor Analysis, Individual Characteristics, Youth
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McMullen, Steven C.; Rouse, Kathryn E. – Economics of Education Review, 2012
This study exploits a unique policy environment and a large panel dataset to evaluate the impact of school crowding on student achievement in Wake County, NC. We also estimate the effects of two education policy initiatives that are often used to address crowding: multi-track year-round calendars and mobile classrooms. We estimate a multi-level…
Descriptors: Academic Achievement, Reading Achievement, Individual Characteristics, Crowding
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Pozzoli, Tiziana; Gini, Gianluca – Journal of Early Adolescence, 2013
The authors employed Latane and Darley's model about bystanders' behavior to explain children's active defending and passive bystanding behavior in school bullying. The three central steps of the model were operationalized by measuring provictim attitudes, personal responsibility for intervention, and coping strategies. Moreover, the role of…
Descriptors: Foreign Countries, Bullying, Models, Childhood Attitudes
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Feldman, Maurice; McConnell, David; Aunos, Marjorie – Journal of Mental Health Research in Intellectual Disabilities, 2012
Parents with cognitive impairments (CI) are overrepresented in child custody cases and their children are at risk for adverse outcomes. Ecological-transactional researchers propose that child outcomes are a function of the interaction of multiple distal, intermediate, and proximal risk and resilience factors. This study tested the fit of, and…
Descriptors: Child Abuse, Mental Health, Child Custody, Foreign Countries
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Sandmann, Lorilee R.; Jordan, Jenny W.; Mull, Casey D.; Valentine, Thomas – Journal of Higher Education Outreach and Engagement, 2014
Community engagement professionals and partners serve as, work with, study, and build the capacity of boundary spanners. To augment knowledge about these functions, the Weerts-Sandmann Boundary Spanning Conceptual Framework (2010) has been operationalized through a survey instrument to examine community engagement boundary-spanning behaviors by…
Descriptors: Outreach Programs, Change Agents, Community Involvement, Employee Attitudes
Frillman, Sharron Ann – ProQuest LLC, 2011
This phenomenological study examined the experiences of twelve female African Americans enrolled as fulltime undergraduate engineering students at North Carolina Agricultural and Technical State University, an historically Black university, and seven female African Americans enrolled as undergraduate engineering students at Purdue University in…
Descriptors: Engineering Education, Qualitative Research, African American Institutions, Engineering
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Lewin, Arie Y.; Zwany, Abram – Personnel Psychology, 1976
The potential application of decision process models to the development of a class of empirically derived and testable models of the behavior of individuals in peer rating situations is explored. (Author)
Descriptors: Data Analysis, Diagrams, Evaluative Thinking, Individual Characteristics
Li, Qing – International Electronic Journal for Leadership in Learning, 2008
The objectives of this paper are twofold. First, a research model, namely, Model for the Study of Bullying and Other School Violence, is proposed, outlined, and delineated, arguing that this model is theoretically grounded and empirically validated by reviewing the related literature. In this model, five major components are proposed that are…
Descriptors: Violence, Bullying, Multivariate Analysis, Correlation
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