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Qing Wang; Xizhen Cai – Journal of Statistics and Data Science Education, 2024
Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…
Descriptors: Active Learning, Class Activities, Classification, Artificial Intelligence
Jackson, Dennis L.; McLellan, Chelsea; Frey, Marc P.; Rauti, Carolyn M. – Canadian Journal of Education, 2020
Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…
Descriptors: Student Behavior, Personality Traits, Classification, Undergraduate Students
Abdelhadi, Abdelhakim; Ibrahim, Yasser; Nurunnabi, Mohammad – Education Sciences, 2019
This study aims to use group technology to classify students at the classroom level into clusters according to their learning style preferences. Group technology is used, due to the realization that many problems are similar, and that by grouping similar problems, single solutions can be found for a set of problems. The Felder and Silverman style,…
Descriptors: Cognitive Style, Engineering Education, Teaching Styles, Student Interests
Konstantinidis-Pereira, Alicja – Perspectives: Policy and Practice in Higher Education, 2018
This paper summarises a new method of grouping postgraduate taught (PGT) courses introduced at Oxford Brookes University as a part of a Portfolio Review. Instead of classifying courses by subject, the new cluster approach uses statistical methods to group the courses based on factors including flexibility of study options, level of specialisation,…
Descriptors: Graduate Students, Portfolios (Background Materials), Statistical Analysis, Classification
Choi, Hongkyu; Lee, Ji Eun; Hong, Won-joon; Lee, Kyumin; Recker, Mimi; Walker, Andy – International Educational Data Mining Society, 2016
This research connects several data-driven educational data mining approaches to a framework for interaction developed in educational research. In particular, 10 million usage data points collected by a Learning Management System used by students and teachers in 450 online undergraduate courses were analyzed with this framework. A range of…
Descriptors: Integrated Learning Systems, Data Analysis, Multivariate Analysis, Multiple Regression Analysis
Ma, Dongmei; Yu, Xiaoru; Zhang, Haomin – Journal of Psycholinguistic Research, 2017
The present study aimed to investigate second language (L2) word-level and sentence-level automatic processing among English as a foreign language students through a comparative analysis of students with different proficiency levels. As a multidimensional and dynamic construct, automaticity is conceptualized as processing speed, stability, and…
Descriptors: English (Second Language), Second Language Learning, Language Processing, Psycholinguistics
Tovar, Angel E.; Chavez, Alvaro Torres – Psychological Record, 2012
We analyzed stimulus class formation in a human study and in a connectionist model (CM) with a yes/no procedure, using compound stimuli. In the human study, the participants were six female undergraduate students; the CM was a feed-forward back-propagation network. Two 3-member stimulus classes were trained with a similar procedure in both the…
Descriptors: Models, Stimuli, Classification, Undergraduate Students
Larrañaga, Nekane; Garcia, Iñaki; Azurmendi, Maria-Jose; Bourhis, Richard – Journal of Multilingual and Multicultural Development, 2016
This study analyses the influence of ethnic identity on the acculturation orientations of Basque undergraduates, towards groups in traditional contact (native Basques and native Spaniards) and towards recent immigrant groups. Five dimensions were used to measure the Basque and/or Spanish identities: linguistic, cultural, political, global, and the…
Descriptors: Self Concept, Ethnic Groups, Intergroup Relations, Acculturation
Rodríguez Amaya, Laura; Betancourt, Tania; Collins, Kristina Henry; Hinojosa, Orlando; Corona, Carlos – International Journal of STEM Education, 2018
Background: Undergraduate research experiences (UREs) have been proposed as means to increase the retention and engagement of minority--and more specifically Hispanic--college students in science, technology, engineering, and mathematics (STEM) majors. This study explores the impact of student characteristics such as gender, classification,…
Descriptors: Mentors, Case Studies, Hispanic American Students, STEM Education
de la Fuente, Jesús; Justicia, Fernando; Sander, Paul; Cardelle-Elawar, Maria – Electronic Journal of Research in Educational Psychology, 2014
Introduction: The 3P and DEDEPRO Models predict interactive relationships among "presage," "process," and "product" variables through teaching and learning of self-regulation. The DEDEPRO Model has established different possibilities for interaction between student characteristics of self-regulation and external…
Descriptors: Foreign Countries, Undergraduate Students, Self Control, Models
Knight, David B. – ProQuest LLC, 2012
Members of government and industry have called for greater emphasis within U.S. colleges and universities on producing engineers who can enter and advance a more competitive, globally connected workforce. Looking toward this future, engineers will need to exhibit strong analytical skills as in the past, but they also will need to be proficient in…
Descriptors: Undergraduate Students, Engineering Education, Outcomes of Education, Classification
Knight, David B. – Educational Evaluation and Policy Analysis, 2014
Colleges and universities are being pressed to seek innovative ways to measure student learning outcomes and identify the conditions that lead to their development. Understanding how students group according to a multidimensional set of learning outcomes provides information on the extent to which institutions are meeting goals. This study…
Descriptors: Classification, Multivariate Analysis, Engineering Education, Higher Education
Vancleef, Linda M. G.; Vlaeyen, Johan W. S.; Peters, Madelon L. – Psychological Assessment, 2009
Research has identified several anxiety and fear constructs that contribute directly or indirectly to the chronic course of pain. One way to gain insight into the frequently observed interrelations between these constructs may be by conceptualizing them within a hierarchical structure. In this structure, general and specific constructs are…
Descriptors: Anxiety, Fear, Pain, Vertical Organization
Hardof-Jaffe, Sharon; Hershkovitz, Arnon; Abu-Kishk, Hama; Bergman, Ofer; Nachmias, Rafi – International Working Group on Educational Data Mining, 2009
The purpose of this study is to empirically reveal strategies of students' organization of learning-related digital materials within an online personal information archive. Research population included 518 students who utilized the personal Web space allocated to them on the university servers for archiving information items, and data describing…
Descriptors: Data Analysis, Organization, Information Management, Undergraduate Students
Cobarsi, Josep; Bernardo, Merce; Coenders, Germa – Campus-Wide Information Systems, 2008
Purpose: First, this article seeks to establish a conceptual model for campus information systems for students, in order to make their comparison possible for strategic management purposes. Second, it seeks to test this conceptual model in a fieldwork on Spanish higher education institutions, in order to relate information systems characteristics…
Descriptors: Knowledge Management, Undergraduate Students, Strategic Planning, Information Needs
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