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Mao, Ye; Zhi, Rui; Khoshnevisan, Farzaneh; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2019
Early prediction of student difficulty during long-duration learning activities allows a tutoring system to intervene by providing needed support, such as a hint, or by alerting an instructor. To be effective, these predictions must come early and be highly accurate, but such predictions are difficult for open-ended programming problems. In this…
Descriptors: Difficulty Level, Learning Activities, Prediction, Programming
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Yeung, Shirley – Multilingua: Journal of Cross-Cultural and Interlanguage Communication, 2016
This article examines two social categories brought into being by recent migration policies in Switzerland: the expatriate (or "expat") and the migrant. Treating these categories as relationally constituted, the article explores how this distinction was constructed and managed in response to processes of European harmonization in the…
Descriptors: Classification, Immigrants, Social Integration, Public Policy
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Holden, Mark P.; Newcombe, Nora S.; Resnick, Ilyse; Shipley, Thomas F. – Cognitive Science, 2016
Memory for spatial location is typically biased, with errors trending toward the center of a surrounding region. According to the category adjustment model (CAM), this bias reflects the optimal, Bayesian combination of fine-grained and categorical representations of a location. However, there is disagreement about whether categories are malleable.…
Descriptors: Memory, Spatial Ability, Bias, Bayesian Statistics
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Felisa L. Tibbitts – International Journal of Human Rights Education, 2017
In 2002, the author published three models for categorizing human rights education practice in the formal and non-formal education sectors: Values and Awareness, Accountability and Transformation, which are widely cited in the HRE literature. The original models were developed by applying grounded theory from a practitioner's point of view about…
Descriptors: Civil Rights, Citizenship Education, Models, Educational Practices
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Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
In a highly systematic literature, researchers have investigated the manner in which people make feature inferences in paradigms involving uncertain categorizations (e.g., Griffiths, Hayes, & Newell, 2012; Murphy & Ross, 1994, 2007, 2010a). Although researchers have discussed the implications of the results for models of categorization and…
Descriptors: Models, Classification, Inferences, Cognitive Psychology
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Holden, Mark P.; Newcombe, Nora S.; Shipley, Thomas F. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Memories for spatial locations often show systematic errors toward the central value of the surrounding region. The Category Adjustment (CA) model suggests that this bias is due to a Bayesian combination of categorical and metric information, which offers an optimal solution under conditions of uncertainty (Huttenlocher, Hedges, & Duncan,…
Descriptors: Spatial Ability, Memory, Models, Task Analysis
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Patamakajonpong, Mana; Chandarasupsang, Tirapot – Journal of Workplace Learning, 2015
Purpose: This paper aims to present an alternative practical framework to classify the skill and knowledge of the individual trainees by comparing it with the expert in an organization. This framework gives the benefit to the organization in order to know the ability level of the personnel and to be able to provide the personnel development method…
Descriptors: Classification, Engineering, Skills, Ability
Whitehill, Jacob; Williams, Joseph; Lopez, Glenn; Coleman, Cody; Reich, Justin – International Educational Data Mining Society, 2015
High attrition rates in massive open online courses (MOOCs) have motivated growing interest in the automatic detection of student "stopout". Stopout classifiers can be used to orchestrate an intervention before students quit, and to survey students dynamically about why they ceased participation. In this paper we expand on existing…
Descriptors: Online Courses, Stopouts, Intervention, Automation
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Dimou, Helen; Kameas, Achilles – Quality Assurance in Education: An International Perspective, 2016
Purpose: This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom's taxonomy of learning objectives and two instructional design models: Kolb's model…
Descriptors: Quality Assurance, Educational Quality, Cognitive Style, Adult Education
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Malkiewich, Laura; Baker, Ryan S.; Shute, Valerie; Kai, Shimin; Paquette, Luc – International Educational Data Mining Society, 2016
Educational games have become hugely popular, and educational data mining has been used to predict student performance in the context of these games. However, models built on student behavior in educational games rarely differentiate between the types of problem solving that students employ and fail to address how efficacious student problem…
Descriptors: Classification, Problem Solving, Educational Games, Models
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Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
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Haines, Sarah; Richman, Laila; Hartley, Renee; Schmid, Rachel – Science Activities: Classroom Projects and Curriculum Ideas, 2017
The unique organism project was designed as a culminating assessment for a biological classification unit in a middle school setting. Students developed a model to represent their unique organism. Using the model, students were required to demonstrate how their unique organism interacts with its environment, and how its internal and external…
Descriptors: Biology, Classification, Science Instruction, Models
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McIver, Derrick; Fitzsimmons, Stacey; Flanagan, David – Journal of Management Education, 2016
Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…
Descriptors: Instructional Design, Knowledge Management, Teaching Methods, Decision Making
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Pilz, Matthias – Vocations and Learning, 2016
The ways in which vocational education and training (VET) systems are structured vary significantly from country to country, both because different countries have different objectives for their VET systems and because VET is differently embedded within the education and labour market systems of any individual country. International research in…
Descriptors: Vocational Education, Classification, Comparative Education, Models
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Hughes, John; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2016
The high rate of students taking developmental education courses suggests that many students graduate from high school unready to meet college expectations. A college readiness screener can help colleges and school districts better identify students who are not ready for college credit courses. The primary audience for this guide is leaders and…
Descriptors: College Readiness, Screening Tests, Test Construction, Predictor Variables
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