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Campbell, Ashley; Soifer, Don – American Enterprise Institute, 2021
The Southern Nevada Urban Micro Academy (SNUMA) is a first-of-its-kind partnership between the North Las Vegas city government and an innovation-focused education nonprofit to create microschools, operated entirely outside of incumbent public school systems and designed specifically as an in-person solution for city families to counter pandemic…
Descriptors: Public Schools, Private Schools, Partnerships in Education, Expenditure per Student
Johnson, Martin; Majewska, Dominika – Cambridge University Press & Assessment, 2022
This review uses research literature to outline the characteristics, benefits and disadvantages of formal, non-formal, and informal learning. There appears to be a consensus around the meanings of formal and informal learning. Formal learning broadly aligns with organised, institutionalised learning models (such as learning seen in schools),…
Descriptors: Teaching Methods, Informal Education, Models, Educational Cooperation
Babette Moeller; Teresa Duncan; Jason Schoeneberger; John Hitchcock; Matthew McLeod – Grantee Submission, 2022
Teacher quality, along with the school context, classroom practice, and student mathematics achievement, are the key components in Clarke and Hollingsworth's (2002) model that depicts teachers' professional growth as an ongoing, dynamic, and interactive enterprise. Comfort and preparedness are dispositions that, along with teacher knowledge, are…
Descriptors: Equal Education, Access to Education, Mathematics Instruction, Faculty Development
Rusmana, Ai Nurlaelasari; Roshayanti, Fenny; Ha, Minsu – Asia-Pacific Science Education, 2020
Metacognitive ability is enormously important for improving students' learning performance. However, overconfidence bias may hinder students' metacognition abilities. Therefore, in this study, we conducted an intervention to reduce or debias overconfidence among students using the KAAR (knowledge, awareness, action, and reflection) model. Ninety…
Descriptors: Undergraduate Students, Metacognition, Biology, Science Education
Bieda, Kristen N.; Visnawathan, Aditya; McCrory, Raven; Sikorskii, Pavel – PRIMUS, 2020
Preparing students placing into developmental mathematics for success in undergraduate mathematics and preparing future teachers for the increasing demands of K-12 school settings are both persistent, yet seemingly divergent, problems facing higher education. In this paper, we shed light on a model that attempts to address aspects of each problem…
Descriptors: Models, Remedial Instruction, Mathematics Instruction, Mathematics Teachers
Alrashidi, Oqab; Phan, Huy P.; Ngu, Bing H. – International Education Studies, 2016
Engagement is a prominent theoretical orientation that has received great attention from educators and researchers. This article provides a literature overview of the engagement construct pertaining to its various definitions, dimensions, and major conceptualisations. In addition, the review sheds light on two major approaches to engagement in the…
Descriptors: Learner Engagement, Definitions, Models, Academic Achievement
Neely, Kimberly D.; Bunton, Kate; Story, Brad H. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: This study used a computational vocal tract model to investigate the relationship of diphthong duration and vocal tract movement magnitude to measures of the F2 trajectory in CV words. Method: Three words ("bough," "boy," and "buy") were simulated on the basis of an adult female vocal tract model, in which…
Descriptors: Correlation, Adults, Speech, Measurement Techniques
Gruenenfelder, Thomas M.; Recchia, Gabriel; Rubin, Tim; Jones, Michael N. – Cognitive Science, 2016
We compared the ability of three different contextual models of lexical semantic memory (BEAGLE, Latent Semantic Analysis, and the Topic model) and of a simple associative model (POC) to predict the properties of semantic networks derived from word association norms. None of the semantic models were able to accurately predict all of the network…
Descriptors: Memory, Semantics, Associative Learning, Networks
Rus, Vasile; Gautam, Dipesh; Swiecki, Zachari; Shaffer, David W.; Graesser, Arthur C. – International Educational Data Mining Society, 2016
Engineering virtual internships are simulations where students role play as interns at fictional companies, working to create engineering designs. To improve the scalability of these virtual internships, a reliable automated assessment system for tasks submitted by students is necessary. Therefore, we propose a machine learning approach to…
Descriptors: Engineering Education, Internship Programs, Computer Simulation, Models
The 2I/E Model: Integrating Temporal Comparisons into the Internal/External Frame of Reference Model
Wolff, Fabian; Nagy, Gabriel; Retelsdorf, Jan; Helm, Friederike; Köller, Olaf; Möller, Jens – Journal of Educational Psychology, 2019
The 2I/E model is an extension of Marsh's (1986) classical internal/external frame of reference (I/E) model. Whereas the classical I/E model describes the formation of academic self-concept by the joint operation of social (external) and dimensional (internal) comparisons, the 2I/E model integrates temporal comparisons as an additional internal…
Descriptors: Comparative Analysis, Self Concept, Academic Achievement, Grades (Scholastic)
López-Bonilla, Luis Miguel; López-Bonilla, Jesús Manuel – British Journal of Educational Technology, 2017
The debate about the role of attitude in the technology acceptance model (TAM) seems to have re-emerged in two prestigious journals in the field of educational technology. Among the publications on this debate, there are authors in favour of excluding the attitude of TAM, whereas others are in favour of including it. These opinions are derived…
Descriptors: Computer Attitudes, Adoption (Ideas), Models, Educational Technology
Bhatia, Sudeep – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Preferences are influenced by the presence or absence of salient choice options, known as reference points. This behavioral tendency is traditionally attributed to the loss aversion and diminishing sensitivity assumptions of prospect theory. In contrast, some psychological research suggests that reference dependence is caused by attentional biases…
Descriptors: Comparative Analysis, Learning Theories, Preferences, Attention
Comparing Freshman and Doctoral Engineering Students in Design: Mapping with a Descriptive Framework
Carmona Marques, P. – European Journal of Engineering Education, 2017
This paper reports the results of a study of engineering students' approaches to an open-ended design problem. To carry out this, sketches and interviews were collected from 9 freshmen (first year) and 10 doctoral engineering students, when they designed solutions for orange squeezers. Sketches and interviews were analysed and mapped with a…
Descriptors: Comparative Analysis, College Freshmen, Doctoral Programs, Graduate Students
Loukina, Anastassia; Zechner, Klaus; Yoon, Su-Youn; Zhang, Mo; Tao, Jidong; Wang, Xinhao; Lee, Chong Min; Mulholland, Matthew – ETS Research Report Series, 2017
This report presents an overview of the "SpeechRater"? automated scoring engine model building and evaluation process for several item types with a focus on a low-English-proficiency test-taker population. We discuss each stage of speech scoring, including automatic speech recognition, filtering models for nonscorable responses, and…
Descriptors: Automation, Scoring, Speech Tests, Test Items
Smith, Amanda R. – Reading Research Quarterly, 2017
In this article, the author argues that new theoretical approaches to literacy are necessary for making visible the affective, embodied, and noncognitive domains of textual meaning making that are often obscured in traditional approaches. To experiment with this argument, the author conducted two analyses on the same data set, using…
Descriptors: Comparative Analysis, Multiple Literacies, Ethnography, Case Studies

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