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Khayi, Nisrine Ait; Rus, Vasile – International Educational Data Mining Society, 2019
In this paper, we applied a number of clustering algorithms on pretest data collected from 264 high-school students. Students took the pre-test at the beginning of a 5-week experiment in which they interacted with an intelligent tutoring system. The primary goal of this work is to identify clusters of students exhibiting similar knowledge…
Descriptors: High School Students, Cluster Grouping, Prior Learning, Intelligent Tutoring Systems
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Bloom, Quinn; Curran, Michaela; Brint, Steven – Journal of Higher Education, 2020
Over the last three decades, interdisciplinary cluster hiring programs have become popular on research university campuses as an approach to fostering interdisciplinary collaboration. These programs have not yet been rigorously evaluated across multiple institutions and multiple thematic fields. The paper reports the results of a survey of 199…
Descriptors: Interdisciplinary Approach, Research Universities, Cluster Grouping, Administrator Attitudes
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Rodrigues, Carla Veiga; Figueiredo, Ana Betriz; Rocha, Sara; Ward, Sam; Tavares, Hugo Braga – Journal of Alcohol and Drug Education, 2018
Introduction: Adolescence is a period of physical, psychological, cognitive and emotional changes, where autonomy from parental control is demanded. Adolescents are often self-discovering, frequently adopting sexual and drug exploration behaviors. As a result, health status in both adolescence and adulthood can be influenced. Methods: A…
Descriptors: Student Behavior, Risk, Questionnaires, Grade 8
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Özkaya, Ali – Educational Research and Reviews, 2018
The purpose of this study is to perform bibliometric analysis of the scientific researches published in mathematics education subject area between 1980 and 2018, to find out the general layout of the scientific knowledge and communication structure of the field using an objective method, driven from the data. The publications were analyzed…
Descriptors: Bibliometrics, Mathematics Education, Databases, Cluster Grouping
Lujie Chen; Artur Dubrawski – Grantee Submission, 2017
We propose a data driven method for decomposing population level learning curve models into mutually exclusive distinctive groups each consisting of similar learning trajectories. We validate this method on six knowledge components from the log data from an online tutoring system ASSISTment. Preliminary analysis reveals interpretable patterns of…
Descriptors: Learning Trajectories, Learning Processes, Intelligent Tutoring Systems, Cluster Grouping
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Cai, Zhiqiang; Li, Hiyiang; Hu, Xiangen; Graesser, Art – Grantee Submission, 2016
This paper provides an alternative way of document representation by treating topic probabilities as a vector representation for words and representing a document as a combination of the word vectors. A comparison on summary data shows that this representation is more effective in document classification. [This paper was published in:…
Descriptors: Probability, Natural Language Processing, Models, Automation
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Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
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Liu, Yan – Educational Administration Quarterly, 2020
Purpose: This study is primarily interested in the operational evidence of distributed leadership using large-scale and multicountry data. Specifically, this study investigates (a) how three position-based human units--the principal, the management team, and teachers--could lead nine school leadership functions together and (b) how the country and…
Descriptors: Leadership Styles, Participative Decision Making, Leadership Responsibility, Principals
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Arora, Skand; Goel, Manav; Sabitha, A. Sai; Mehrotra, Deepti – American Journal of Distance Education, 2017
The open nature of Massive Open Online Courses (MOOCs) attracts a large number of learners with different backgrounds, skills, motivations, and goals. This has brought a need to understand such heterogeneity in populations of MOOC learners. Categorizing these learners based upon their interaction with the course can help address this need and…
Descriptors: Online Courses, Heterogeneous Grouping, Learner Engagement, Student Characteristics
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Stewart, Kitty; Campbell, Tammy; Gambaro, Ludovica – British Journal of Sociology of Education, 2019
Evidence suggests that early education can promote children's development and narrow attainment gaps between those from lower-income and higher-income families. However, realisation of these potential benefits depends on many factors, feasibly including peer composition. We use national census data for a year-group cohort of children in England in…
Descriptors: Low Income Students, Foreign Countries, Public Education, Cluster Grouping
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Spybrook, Jessaca; Kelcey, Ben; Dong, Nianbo – Society for Research on Educational Effectiveness, 2016
Cluster randomized trials (CRTs), or studies in which intact groups of individuals are randomly assigned to a condition, are becoming more common in evaluation studies of educational programs. A specific type of CRT in which clusters are randomly assigned to treatment within blocks or sites, known as multisite cluster randomized trials (MSCRTs),…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, Cluster Grouping
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Sindhgatta, Renuka; Marvaniya, Smit; Dhamecha, Tejas I.; Sengupta, Bikram – International Educational Data Mining Society, 2017
Question answering forums in online learning environments provide a valuable opportunity to gain insights as to what students are asking. Understanding frequently asked questions and topics on which questions are asked can help instructors in focusing on specific areas in the course content and correct students' confusions or misconceptions. An…
Descriptors: Questioning Techniques, Interviews, Electronic Learning, Online Courses
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Shikalepo, Elock Emvula – African Educational Research Journal, 2018
This study sought to discover the challenges facing the implementation of School Cluster System in Oshikoto region. Five Cluster Centre Principals (CCPs) and twenty eight teachers were sampled as participants. Questionnaires, documentary analysis and focus group interviews were used as research instruments for the study. Questionnaires were…
Descriptors: Foreign Countries, Barriers, Educational Quality, Rural Schools
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Knight, Melinda – Business and Professional Communication Quarterly, 2018
An analysis of user interactions, proceedings papers, and Association for Business Communication-sponsored journals reveals an absence of attention to accessibility and disability. While researchers may have demonstrated a passing awareness of the 1990 American with Disabilities Act (ADA) and its implications, so far those implications have not…
Descriptors: Accessibility (for Disabled), Disabilities, Metadata, Business Communication
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Pouwels, J. Loes; Salmivalli, Christina; Saarento, Silja; van den Berg, Yvonne H. M.; Lansu, Tessa A. M.; Cillessen, Antonius H. N. – Child Development, 2018
The aim of this study was to determine how trajectory clusters of social status (social preference and perceived popularity) and behavior (direct aggression and prosocial behavior) from age 9 to age 14 predicted adolescents' bullying participant roles at age 16 and 17 (n = 266). Clusters were identified with multivariate growth mixture modeling…
Descriptors: Bullying, Adolescents, Student Participation, Predictive Validity
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