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Kapelner, Adam; Soterwood, Jeanine; Nessaiver, Shalev; Adlof, Suzanne – IEEE Transactions on Learning Technologies, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
Santilli, Sara; Marcionetti, Jenny; Rochat, Shékina; Rossier, Jérôme; Nota, Laura – Journal of Career Development, 2017
The consequences of economic crisis are different from one European context to the other. Based on life design (LD) approach, the present study focused on two variables--career adaptability and a positive orientation toward future (hope and optimism)--relevant to coping with the current work context and their role in affecting life satisfaction. A…
Descriptors: Foreign Countries, Adolescents, Vocational Adjustment, Psychological Patterns
Denby, Thomas; Schecter, Jeffrey; Arn, Sean; Dimov, Svetlin; Goldrick, Matthew – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Phonotactics--constraints on the position and combination of speech sounds within syllables--are subject to statistical differences that gradiently affect speaker and listener behavior (e.g., Vitevitch & Luce, 1999). What statistical properties drive the acquisition of such constraints? Because they are naturally highly correlated, previous…
Descriptors: Phonology, Probability, Learning Processes, Syllables
Kehler, Andrew; Rohde, Hannah – Discourse Processes: A multidisciplinary journal, 2017
According to Question-Under-Discussion (QUD) models of discourse interpretation, clauses cohere with the preceding context by virtue of providing answers to (usually implicit) questions that are situated within a speaker's goal-driven strategy of inquiry. In this article we present four experiments that examine the predictions of a QUD model of…
Descriptors: Prediction, Questioning Techniques, Models, Expectation
Liu, Yan; Bellibas, Mehmet Sukru; Printy, Susan – Educational Management Administration & Leadership, 2018
Distributed leadership is a dynamic process and reciprocal interaction of the leader, the subordinates and the situation. This research was inspired by the theoretical framework of Spillane in order to contextualize distributed leadership and compare the variations using the Teaching and Learning International Survey 2013 data. The two-level…
Descriptors: Structural Equation Models, Context Effect, Teacher Characteristics, Participative Decision Making
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
Hwang, Wu-Yuin; Chen, Hong-Ren; Chen, Nian-Shing; Lin, Li-Kai; Chen, Jin-Wen – Educational Technology & Society, 2018
Education research has shown that reflective study can efficiently enhance learning, and the acquisition of knowledge and skills from real-life situations has become a focus of interest for scholars. The knowledge-learning model based on verbal instruction, used in traditional classrooms, does not make use of real-life situations that encourage…
Descriptors: Foreign Countries, Learning Processes, Context Effect, Reflection
Parker, Philip D.; Marsh, Herbert W.; Guo, Jiesi; Anders, Jake; Shure, Nikki; Dicke, Theresa – Journal of Educational Psychology, 2018
In this paper, we develop an information distortion model (IDM) of social class differences in self-beliefs and values. The IDM combines psychological biases on frame-of-reference effects with sociological foci on ability stratification. This combination is hypothesized to lead to working-class children having more positive math self-beliefs and…
Descriptors: Case Studies, Academic Aspiration, Social Class, Longitudinal Studies
Mihaly, Kata; McCaffrey, Daniel; Sass, Tim R.; Lockwood, J. R. – Education Finance and Policy, 2013
We consider the challenges and implications of controlling for school contextual bias when modeling teacher preparation program effects. Because teachers are not randomly distributed across schools, failing to account for contextual factors in achievement models could bias preparation program estimates. Including school fixed effects controls for…
Descriptors: Teacher Education Programs, Teacher Education, Program Evaluation, Context Effect
Tambunan, Hamonangan; Dalimunte, Amirhud; Silitonga, Marsangkap – International Education Studies, 2017
The scenario based e-learning in Electrical Engineering Education Learning (EEEL) was developed by covering the scope and characteristics of all subjects and the competence unit of graduates in the field of pedagogy, professional, social and personality, with url addresed http://jpte-ft-unimed.edu20.org. The scenario incorporates the concept of…
Descriptors: Vignettes, Engineering Education, Learning Motivation, Teacher Attitudes
Soebari, Titien S.; Aldridge, Jill M. – Learning Environments Research, 2015
The focus of this article is two-fold. First, it describes a model that can be used to guide the evaluation of teacher professional development. The model combines important components of existing models and incorporates the use of students' perceptions for examining teacher change. Second, the article reports the evaluation of a teacher…
Descriptors: Student Attitudes, Educational Environment, Teacher Education Programs, Professional Development
Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Hiebert, Elfrieda H.; Pearson, P. David – Elementary School Journal, 2014
The Common Core State Standards represent the first standards document to address whether students are able to read progressively more complex texts as they progress across the grades. This article gives an overview of the three components of the model of text complexity that were identified in Appendix A of the Standards and also were the basis…
Descriptors: State Standards, Difficulty Level, Readability, Readability Formulas
Wang, X. Christine; Christ, Tanya; Chiu, Ming Ming – Early Child Development and Care, 2014
Addressing a critical need for effective vocabulary practices in early childhood classrooms, we conducted a design experiment to achieve three goals: (1) developing a comprehensive model for early childhood vocabulary instruction, (2) examining the effectiveness of this model, and (3) discerning the contextual conditions that hinder or facilitate…
Descriptors: Early Childhood Education, Preschool Education, Disadvantaged Youth, Native Language Instruction

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