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Conner, Nathan W.; Gates, Hailey; Stripling, Christopher T. – Journal of Agricultural Education, 2017
The globalization of the agriculture industry has created an emerging need for agricultural education in the United States to take a more globalized approach to prepare students for future careers in agriculture. The purpose of this study was to identify international agricultural concepts for secondary agricultural education curriculum. A Delphi…
Descriptors: Agricultural Education, Global Approach, Secondary Education, Delphi Technique
Edwards, Jerri D.; Lister, Jennifer J.; Elias, Maya N.; Tetlow, Amber M.; Sardina, Angela L.; Sadeq, Nasreen A.; Brandino, Amanda D.; Bush, Aryn L. Harrison – Journal of Speech, Language, and Hearing Research, 2017
Purpose: Studies suggest that deficits in auditory processing predict cognitive decline and dementia, but those studies included limited measures of auditory processing. The purpose of this study was to compare older adults with and without probable mild cognitive impairment (MCI) across two domains of auditory processing (auditory performance in…
Descriptors: Older Adults, Case Studies, Auditory Perception, Cognitive Processes
Borleffs, Elisabeth; Maassen, Ben A. M.; Lyytinen, Heikki; Zwarts, Frans – Reading and Writing: An Interdisciplinary Journal, 2017
This narrative review discusses quantitative indices measuring differences between alphabetic languages that are related to the process of word recognition. The specific orthography that a child is acquiring has been identified as a central element influencing reading acquisition and dyslexia. However, the development of reliable metrics to…
Descriptors: Language Classification, Morphology (Languages), Phonemes, Language Processing
Deng, Weiling; Monfils, Lora – ETS Research Report Series, 2017
Using simulated data, this study examined the impact of different levels of stringency of the valid case inclusion criterion on item response theory (IRT)-based true score equating over 5 years in the context of K-12 assessment when growth in student achievement is expected. Findings indicate that the use of the most stringent inclusion criterion…
Descriptors: Item Response Theory, Equated Scores, True Scores, Educational Assessment
Porcu, Mariano; Giambona, Francesca – Journal of Early Adolescence, 2017
Latent class analysis (LCA) is a statistical method used to group individuals (cases, units) into classes (categories) of an unobserved (latent) variable on the basis of the responses made on a set of nominal, ordinal, or continuous observed variables. In this article, we introduce LCA in order to demonstrate its usefulness to early adolescence…
Descriptors: Statistical Analysis, Classification, Early Adolescents, National Surveys
Hong, Jon-Chao; Hwang, Ming-Yueh; Lu, Chow-Chin; Tsai, Chi-Ruei – Research in Science Education, 2017
Microteaching has gained considerable attention for its effectiveness in rapid and contextual training in professional development programs. However, the interpretive quality of the teaching demonstration and peer feedback may influence individuals' attribution and self-correction, leading to ineffective learning. In this study, a microteaching…
Descriptors: Classification, Microteaching, Faculty Development, Feedback (Response)
Moreton, Elliott; Pater, Joe; Pertsova, Katya – Cognitive Science, 2017
Linguistic and non-linguistic pattern learning have been studied separately, but we argue for a comparative approach. Analogous inductive problems arise in phonological and visual pattern learning. Evidence from three experiments shows that human learners can solve them in analogous ways, and that human performance in both cases can be captured by…
Descriptors: Phonology, Concept Formation, Learning Processes, Difficulty Level
Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Cimpian, Joseph R. – Journal of Research on Educational Effectiveness, 2017
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Intervention, Quasiexperimental Design, Simulation
Zhu, Guangtian; Wang, Jue – Physical Review Physics Education Research, 2017
Students' categorization of physics problems reflects their expertise in problem solving. We conducted a pseudolongitudinal study to investigate the development of students' categorization ability. Over 250 Chinese students from grade 10 to grade 12 were asked to categorize 20 problems of kinematics and mechanics into suitable categories based on…
Descriptors: Foreign Countries, High School Students, Classification, Expertise
O'Brien, Jonathan J. – Journal of College and Character, 2017
This qualitative study explored educational leaders' conduct in self-reported critical incidents (n = 50). Incidents were analyzed for participants' orientations to self or others and professional values, and assigned to one of four position types: authority, equity, compliance, or strategy. The typology categorizes participants' ethical actions…
Descriptors: Classification, Moral Values, Qualitative Research, Critical Incidents Method
Clauser, Jerome C.; Hambleton, Ronald K.; Baldwin, Peter – Educational and Psychological Measurement, 2017
The Angoff standard setting method relies on content experts to review exam items and make judgments about the performance of the minimally proficient examinee. Unfortunately, at times content experts may have gaps in their understanding of specific exam content. These gaps are particularly likely to occur when the content domain is broad and/or…
Descriptors: Scores, Item Analysis, Classification, Decision Making
Briggs, Derek C.; Circi, Ruhan – International Journal of Testing, 2017
Artificial Neural Networks (ANNs) have been proposed as a promising approach for the classification of students into different levels of a psychological attribute hierarchy. Unfortunately, because such classifications typically rely upon internally produced item response patterns that have not been externally validated, the instability of ANN…
Descriptors: Artificial Intelligence, Classification, Student Evaluation, Tests
Kauffman, James M.; Anastasiou, Dimitris; Maag, John W. – Exceptionality, 2017
Special education is losing its identity--its visibility, distinctiveness, budget, and basic functions are all at risk. Special education functions include (a) sorting, categorizing, and labeling students who need it; (b) making the right comparisons; (c) honoring diversity but changing "particular" differences; (d) managing stigma; (e)…
Descriptors: Special Education, Classification, Labeling (of Persons), Comparative Analysis
Guzman-Munoz, Francisco Javier – Educational Psychology, 2017
Mixing examples of different categories (interleaving) has been shown to promote inductive learning as compared with presenting examples of the same category together (massing). In three studies, we tested whether the advantage of interleaving is exclusively due to the mixing of examples from different categories or to the temporal gap introduced…
Descriptors: Classification, Comparative Analysis, Logical Thinking, Learning
Khusniati, Miranita; Parmin; Sudarmin – Journal of Turkish Science Education, 2017
The implementation of local wisdom-based science learning model through reconstruction of indigenous science is hoped to improve student's conservationist character. Through this model, student will be familiarized with science and local wisdom to improve their existing conservationist characters. Characters measured in this study were…
Descriptors: Teaching Methods, Indigenous Knowledge, Science Instruction, Conservation (Environment)

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