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Showing 1 to 15 of 37 results Save | Export
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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
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Cömert, Zeynep; Samur, Yavuz – Interactive Learning Environments, 2023
Almost in every aspect of life, classification and categorization make it easier for humans to analyze complex structures and systems. In games, the classification of the players based on their demographics, behaviors, expectations and preferences of the game is important to increase players' motivation and satisfaction. Likewise, knowing the…
Descriptors: Classification, Student Characteristics, Models, Student Motivation
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Zhou, Ying; An, Xin; Li, Xiuting; Li, Lewei; Gong, Xue; Li, Yushun; Chai, Ching Sing; Liang, Jyh-Chong; Tsai, Chin-Chung – Australasian Journal of Educational Technology, 2022
Studies measuring online learning have adopted different perspectives, resulting in different approaches to their assessment of online learning. However, when we consider the literature from a wider angle, there may be complimentary or contrasting relationships. This study performed content analysis on a total of 44 studies that used…
Descriptors: Questionnaires, Electronic Learning, Content Analysis, Educational Environment
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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
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Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
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Hemsley-Brown, Jane; Oplatka, Izhar – International Journal of Educational Management, 2015
Purpose: The purpose of this paper is to systematically document, scrutinise and critically analyse the current research literature on higher education choice to: establish the scope of the studies; map the factors associated with choice; identify the key strengths and weaknesses in the research literature; critically analyse the extant research…
Descriptors: College Choice, Educational Quality, Databases, Educational Research
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Terrion, Jenepher Lennox; Leonard, Dominique – Mentoring & Tutoring: Partnership in Learning, 2007
Peer mentoring in higher education is regarded as an effective intervention to ensure the success and retention of vulnerable students. Many universities and colleges have therefore implemented some form of mentoring program as part of their student support services. While considerable research supports the use of peer mentoring to improve…
Descriptors: Classification, Student Characteristics, Mentors, College Students
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Gaynor, Alan Kibbe – International Education Studies, 2012
This system dynamics analysis draws on the literature to outline the factors commonly discussed as predictive of and, perhaps, causally related to problematic differences in academic achievement among students who vary in race, ethnicity, and social class. It first treats these as a wide-ranging set of exogenous variables, many of which interact…
Descriptors: Achievement Gap, Racial Differences, Ethnic Groups, Social Class
Switzky, Harvey N.; And Others – Education and Training of the Mentally Retarded, 1982
Research is reviewed regarding the characteristics and classification of severe and profound mental retardation. The literature suggests that the two groups have distinctively different characteristics that may form functional subcategories of individual differences related to educational and training programs. Attempts to identify these…
Descriptors: Classification, Severe Mental Retardation, Student Characteristics
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Magowan, S. A. – Scottish Educational Review, 1980
This brief overview on dyslexia notes the problems of defining this syndrome, presents a profile of a "typical" dyslexic child, and describes the three sub-types of dyslexia which have been identified. (SJL)
Descriptors: Auditory Perception, Children, Classification, Dyslexia
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MacMillan, Donald L. – Education and Treatment of Children, 1998
Presents evidence to show variability across states in the use of the severe-emotional-disturbance designation for students and the frequency of comorbid and trimorbid cases being classified as learning disabled. Findings are presented from ongoing projects to illustrate differential profiles for comorbid children. (Author/CR)
Descriptors: Classification, Clinical Diagnosis, Disability Identification, Elementary Secondary Education
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Spagna, Michael E. – Remedial and Special Education, 1998
Discusses the definition of dyslexia, reintroduces the concept of marker variables, proposes a strategy for developing an updated marker variable system, presents a preliminary working set of dyslexia marker variables, and calls for eventual adoption of this or similar marker variable systems to facilitate future research efforts. (Author/CR)
Descriptors: Adults, Children, Classification, Clinical Diagnosis
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Sternberg, Robert J. – Gifted Child Quarterly, 2000
This article discusses how giftedness is currently defined and presents an alternative view based on a balance theory of wisdom. The theory is described as a useful way of conceptualizing wisdom. Sources of differences in wisdom and the need for development of wisdom as a form of giftedness are addressed. (Contains references.) (Author/CR)
Descriptors: Ability Identification, Adults, Classification, Cognitive Ability
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Salend, Spencer J.; Rohena, Elba – Intervention in School and Clinic, 2003
This article provides the American Psychiatric Association's definition of attention deficit disorder (ADD) and then gives an overview of ADD by considering the three types of ADD, the developmental impact of ADD, factors contributing to ADD, identification and assessment of students with ADD (emphasizing multimethod and consideration of…
Descriptors: Attention Deficit Disorders, Classification, Definitions, Disability Identification
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