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Kirkendall, Abbie; Linton, Kristen; Farris, Saritha – Journal of Applied Research in Intellectual Disabilities, 2017
Background: Individuals with an intellectual disability are vulnerable to having end-of-life decisions made for them merely due to the presence of a disability. As a result, decisions made by others may not reflect the exact wishes of the individual. Methods: This review examines literature on individuals with an intellectual disability in making…
Descriptors: Intellectual Disability, Decision Making, Death, Literature Reviews
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Regional Educational Laboratory Southeast, 2019
In spring 2015 Mississippi began testing the college readiness of all grade 11 public high school students and found that approximately 18 percent were ready for college math, a percentage that had changed little by 2017/18. This study examined: (1) the sequences of math courses that Mississippi students took in grades 6-11; (2) the math…
Descriptors: Grade 6, Grade 7, Grade 8, Grade 9
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Cahn, E. Susanna – Journal of Educators Online, 2018
The influence of classroom context on the probability of being caught cheating is compared between face-to-face classes and online classes. A decision tree model assigned in the context of a management science class presents alternatives, including unethical choices, risks and rewards, and a decision facing a potential ethical dilemma. Part of the…
Descriptors: Ethics, Cheating, Student Behavior, Decision Making
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Villanueva, Idalis; Carothers, Taya; Di Stefano, Marialuisa; Khan, Md. Tarique Hasan – Education Sciences, 2018
The purpose of this exploratory special issue study was to understand the hidden curriculum (HC), or the unwritten, unofficial, or unintended lessons, around the professionalization of engineering faculty across institutions of higher education. Additionally, how engineering faculty connected the role of HC awareness, emotions, self-efficacy, and…
Descriptors: Engineering Education, College Faculty, Hidden Curriculum, Self Efficacy
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Brewer, Steven L.; Brewer, Hannah J.; Kulik, Keri S. – Journal of School Health, 2018
BACKGROUND: Bullying is more likely to happen in schools than in any other location. The purpose of this study is to use decision tree analyses to predict specific risk factors for bullying to identify areas of interest for school-based bullying prevention. METHODS: We obtained data from the 2013 National Crime Victimization Study (NCVS) School…
Descriptors: Bullying, Victims, Predictor Variables, Prediction
American Institutes for Research, 2015
Education in the 21st century is awakening to a call for students who are not only proficient with academic content but who also have developed the social and emotional (SE) knowledge, attitudes, and skills that are necessary for success in college and careers. This brief refers to that combination of knowledge, attitudes, and skills as SE…
Descriptors: Social Development, Emotional Development, Knowledge Level, Student Attitudes
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Davenport, Rick D.; Mann, William; Lutz, Barbara – Assistive Technology, 2012
Comparatively little research has been conducted regarding the smart technology needs of the older adult population despite the proliferation of smart technology prototypes. The purpose of this study was to explore the perceived smart technology needs of older adults with mobility impairments while using an ethnographic research approach to…
Descriptors: Baby Boomers, Ethnography, Older Adults, Decision Making
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Bahr, Peter Riley; Fagioli, Loris P.; Hetts, John; Hayward, Craig; Willett, Terrence; Lamoree, Daniel; Newell, Mallory A.; Sorey, Ken; Baker, Rachel B. – Community College Review, 2019
Objective: Standardized placement tests remain the primary means by which new community college students are assessed and placed in the hierarchy of math and English coursework. A growing body of evidence indicates that placement tests tend to underestimate students' likelihood of achieving passing grades in college-level courses, leading to…
Descriptors: Student Placement, Accuracy, Community Colleges, Predictor Variables
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Gushchina, Oksana; Ochepovsky, Andrew – Turkish Online Journal of Distance Education, 2019
The article shows the role of data mining methods at the stages of the e-learning risk management for the various participants. The article proves the e-learning system fundamentally contains heterogeneous information, for its processing it is not enough to use the methods of mathematical analysis but it is necessary to apply the new educational…
Descriptors: Data Analysis, Information Retrieval, Electronic Learning, Risk Management
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Brandmaier, Andreas M.; von Oertzen, Timo; McArdle, John J.; Lindenberger, Ulman – Psychological Methods, 2013
In the behavioral and social sciences, structural equation models (SEMs) have become widely accepted as a modeling tool for the relation between latent and observed variables. SEMs can be seen as a unification of several multivariate analysis techniques. SEM Trees combine the strengths of SEMs and the decision tree paradigm by building tree…
Descriptors: Structural Equation Models, Multivariate Analysis, Computation, Factor Analysis
Willett, Terrence – RP Group, 2017
In order to improve the accuracy of students' placement into California Community College English as Second Language (ESL) courses and move them more efficiently toward completion, the statewide Common Assessment Initiative (CAI) is developing placement processes for student assessment in credit ESL that contain a multiple measures component. As…
Descriptors: Community Colleges, College Students, Student Placement, English Language Learners
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Block, Stephanie D.; Foster, E. Michael; Pierce, Matthew W.; Berkoff, Molly C.; Runyan, Desmond K. – Applied Developmental Science, 2013
In suspected child sexual abuse some professionals recommend multiple child interviews to increase the likelihood of disclosure or more details to improve decision-making and increase convictions. We modeled the yield of a policy of routinely conducting multiple child interviews and increased convictions. Our decision tree reflected the path of a…
Descriptors: Crime, Interviews, Sexual Abuse, Child Abuse
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Wanapu, Supachanun; Fung, Chun Che; Kerdprasop, Nittaya; Chamnongsri, Nisachol; Niwattanakul, Suphakit – Education and Information Technologies, 2016
The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system.…
Descriptors: Correlation, Cognitive Style, Resource Units, Foreign Countries
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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
American Institutes for Research, 2015
Assessing individuals' social and emotional (SE) knowledge, attitudes, and skills is a complex task. It requires careful consideration of the assessment purpose, rigor, practicality, burden, and ethics. Once you have considered these factors and have determined that you are, in fact, "Ready to Assess," you are ready to act and choose an…
Descriptors: Social Development, Emotional Development, Knowledge Level, Student Attitudes
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