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Guimaraes, Leovani Marcial; da Silva Lima, Renato – IEEE Transactions on Education, 2023
Contribution: This article presents a novel approach that demonstrates how students' learning can be improved by increasing classroom adherence to active learning (AL) application, in a typical engineering education (EE) environment. It does that by using classroom observation protocol data and student assessment grades analyzed by a statistical…
Descriptors: Engineering Education, Teaching Methods, Active Learning, Outcomes of Education
Li, Xiaoxia; Zhu, Wanxia – Education and Information Technologies, 2023
Based on the existing 3P model, this paper constructed a new 3P model under the blended-project-based learning (BPBL) environment, used the course teaching data to verify this model, and revealed the potential factors that affect the learning process and learning outcomes. The results showed that the presage variables of academic motivation and…
Descriptors: Transfer of Training, Skill Development, Blended Learning, Active Learning
Sam Sims; Jake Anders; Matthew Inglis; Hugues Lortie-Forgues; Ben Styles; Ben Weidmann – Annenberg Institute for School Reform at Brown University, 2023
Over the last twenty years, education researchers have increasingly conducted randomised experiments with the goal of informing the decisions of educators and policymakers. Such experiments have generally employed broad, consequential, standardised outcome measures in the hope that this would allow decisionmakers to compare effectiveness of…
Descriptors: Educational Research, Research Methodology, Randomized Controlled Trials, Program Effectiveness
Meirav Hen – Continuity in Education, 2023
Pediatric hospitalization is known to be associated with adverse developmental and psychosocial outcomes for young patients. Art therapy is a direct means of addressing the emotional world of the hospitalized child. However, the hospital setting sometimes requires adaptations of this practice to a short-term mode. To explore the characteristics of…
Descriptors: Hospitalized Children, Art Therapy, Allied Health Personnel, Work Environment
Tang, Chaoying; Li, Qin; Kaufman, James C. – Journal of Creative Behavior, 2018
Empirical studies on the relationship between affect and creativity often produce conflicting results. This inconsistency has led us to believe that the relationship between affect and creativity may be better understood by looking at potential moderators. Our study looked specifically at trait affect and self-perceived creativity. Using the…
Descriptors: Creativity, Correlation, Problem Solving, Models
Liu, Kai; Tatinati, Sivanagaraja; Khong, Andy W. H. – IEEE Transactions on Learning Technologies, 2020
Activity-centric data gather feedback on students' learning to enhance learning effectiveness. The heterogeneity and multigranularity of such data require existing data models to perform complex on-the-fly computation when responding to queries of specific granularity. This, in turn, results in latency. In addition, existing data models are…
Descriptors: Context Effect, Models, Learning Analytics, Data Use
Molitoris, Joseph J. – Journal of College Science Teaching, 2020
The Coronavirus outbreak allows for a number of possible applications to classroom teaching (biology, computer science, Earth science, physics, statistics), as well as student research. A number of simple models reproduce fairly well the case numbers (total confirmed cases) of the Coronavirus pandemic in specific regions. These models may also be…
Descriptors: COVID-19, Pandemics, Interdisciplinary Approach, Teaching Methods
Weiss, Selina; Steger, Diana; Schroeders, Ulrich; Wilhelm, Oliver – Journal of Intelligence, 2020
Intelligence has been declared as a necessary but not sufficient condition for creativity, which was subsequently (erroneously) translated into the so-called threshold hypothesis. This hypothesis predicts a change in the correlation between creativity and intelligence at around 1.33 standard deviations above the population mean. A closer…
Descriptors: Intelligence, Creativity, Prediction, Correlation
Kim, Min Kyu; Gaul, Cassandra J.; Kim, So Mi; Madathany, Reeny J. – Technology, Knowledge and Learning, 2020
While key concepts embedded within an expert's textual explanation have been considered an aspect of expert model, the complexity of textual data makes determining key concepts demanding and time consuming. To address this issue, we developed Student Mental Model Analyzer for Teaching and Learning (SMART) technology that can analyze an experts'…
Descriptors: Natural Language Processing, Educational Technology, Concept Mapping, Accuracy
Nguyen, Anh – International Education Studies, 2020
In-service training is an integral part of an educational system as teachers always need to update their educational and professional knowledge for a more effective teaching delivery. Ensuring the effectiveness of the in-service training programmes is, however, very challenging. In this article, we introduce the use of the CIPO model, i.e.,…
Descriptors: Inservice Teacher Education, Foreign Countries, Program Effectiveness, Models
Schalk, Lennart; Roelle, Julian; Saalbach, Henrik; Berthold, Kirsten; Stern, Elsbeth; Renkl, Alexander – Applied Cognitive Psychology, 2020
Worked examples support learning. However, if they introduce easy-to-confuse concepts or principles, specific ways of providing worked examples may influence their effectiveness. Multiple worked examples can be introduced blocked (i.e., several for the same principle) or interleaved (i.e., switching between principles), and can be sequentially or…
Descriptors: Problem Solving, Instructional Effectiveness, College Students, Teaching Methods
Dichev, Christo; Dicheva, Darina; Irwin, Keith – International Journal of Educational Technology in Higher Education, 2020
The majority of user models in gamification are based on user's gamer personality. However, the motivations driving individuals' learning behavior differ from their motivations when playing. There is no evidence that learners' experiences in gamified activities are described by these models. Thus, an alternative model capturing learners'…
Descriptors: Game Based Learning, Educational Games, Personality Traits, Learning Motivation
Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
Albó, Laia; Hernández-Leo, Davinia – Australasian Journal of Educational Technology, 2020
This article reports on a study about how massive open online course (MOOC)-based blended learning designs can be visually represented to facilitate their comprehension and sharing. We carried out an iterative co-creation process with different stakeholders to conceptualise a visual learning design representation model within the context of…
Descriptors: Online Courses, Blended Learning, Instructional Design, Decision Making
Harimurti, Yudi Widagdo; Fauzan, Encik Muhammad; Purbasari, Indah; Yulianingsih, Indra – Journal of Social Studies Education Research, 2020
This study aims to discuss democracy education practice on electing members of the Village Consultative Body in the Regency of Bangkalan --Indonesia. Through this study, the authors intend to describe models by which used in electing members of the Village Consultative Body (BPD) within the Regency of Bangkalan --Indonesia as well as to explore…
Descriptors: Foreign Countries, Citizenship Education, Democracy, Participative Decision Making

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