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Dayal, Priya Dharshni; Ali-Chand, Zakia – New Zealand Journal of Educational Studies, 2022
This paper discusses the significance of model-based teaching on the topic of ionic and metallic bonding in Year 12 Chemistry in a New Zealand secondary school. Based on the conceptualization of the sub-macro level understanding of the bonding structure and properties of ionic and metallic compounds, models and drawings were used as an effective…
Descriptors: Science Instruction, Teaching Methods, Chemistry, Models
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Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
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Andrade, Eric Francelino; Zaine Teixeira Debortoli, Gabriele; Gomes Batista, Victor Luiz; Newton Bizetto Meira de Andrade, James; Orlando, Débora Ribeiro; Rocha Lobo-Junior, Adalfredo – Journal of Biological Education, 2022
Learning the physiology of the cardiovascular system can be difficult for students, but the use of active teaching methodologies can help and enhance learning. To facilitate the understanding of how the cardiovascular system works, we built a functional model for Veterinary Medicine students attending a cardiovascular physiology lecture and…
Descriptors: Physiology, Veterinary Medical Education, Teaching Methods, Active Learning
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Bateman, Kathryn M.; Ham, Joy; Barshi, Naomi; Tikoff, Basil; Shipley, Thomas F. – Journal of Geoscience Education, 2023
Spatial skills are embedded in all aspects of the geosciences. The teaching and learning of spatial skills has been a challenging, but vital, endeavor. To support student learning of spatial skills in undergraduate courses, we designed scaffolds for spatially dependent content in a mid-level geoscience course using playdough to allow students to…
Descriptors: Geology, Science Instruction, Course Content, Spatial Ability
Sfetcu, Nicolae – Online Submission, 2023
The emotional intelligence models have helped to develop different tools for construct assessment. Each theoretical paradigm conceptualizes emotional intelligence from one of two perspectives: ability or mixed model. Ability models consider emotional intelligence as a pure form of mental ability and therefore as pure intelligence. Mixed models of…
Descriptors: Models, Emotional Intelligence, Cognitive Ability, Cognitive Processes
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Klimanova, Liudmila; Hellmich, Emily A. – Foreign Language Annals, 2021
Culture in the teaching and learning of foreign languages tends to be stereotypical and monolithic, marginalizing the diversity of local cultures and practices and resulting in a monocultural and monolingual bias. Expanding on the ACTFL Cultures and Comparisons Standards, the current article presents the MAPS model for Exploring Local Cultures…
Descriptors: Second Language Learning, Second Language Instruction, Cultural Awareness, Teaching Methods
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Hartshorne, Joshua K. – First Language, 2020
Ambridge argues that the existence of exemplar models for individual phenomena (words, inflection rules, etc.) suggests the feasibility of a unified, exemplars-everywhere model that eschews abstraction. The argument would be strengthened by a description of such a model. However, none is provided. I show that any attempt to do so would immediately…
Descriptors: Models, Language Acquisition, Language Processing, Bayesian Statistics
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Raley, Sheida K.; Burke, Kathryn M.; Hagiwara, Mayumi; Shogren, Karrie A.; Wehmeyer, Michael L.; Kurth, Jennifer A. – Intellectual and Developmental Disabilities, 2020
There is a strong link between the development of skills associated with self-determination (i.e., choice-making, decision-making, problem solving, goal setting and attainment, planning, self-management, self-advocacy, self-awareness, and self-knowledge) and positive school (e.g., academic achievement) and postschool (e.g., employment, community…
Descriptors: Models, Learning Processes, Inclusion, Student Needs
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Tawafak, Ragad M.; Romli, Awanis B. T.; Arshah, Ruzaini bin Abdullah; Malik, Sohail Iqbal – Education and Information Technologies, 2020
The technology enhancement learning (TEL) needs continuous use and high perception from learners with collaborative of technologies and multi-media applications. The problem of continuous intention in e-learning applications relies on the type of technology used that changes from one university to another. This study aims to design a framework…
Descriptors: Teaching Methods, Electronic Learning, Models, Multimedia Materials
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Yasin, Muhamad; Fakhri, Jamal; Siswadi; Faelasofi, Rahma; Safi'i, Ahmad; Supriadi, Nanang; Syazali, Muhamad; Wekke, Ismail Suardi – European Journal of Educational Research, 2020
This study aims to determine the effect of the application of the Search, Solve, Create, and Share (SSCS) learning model to the mathematical reflective thinking skills and the students' mathematical problem-solving abilities. This research is a type of Quasi-Experimental Design research with a 2x2 factorial research design. Data collection…
Descriptors: Instructional Effectiveness, Reflection, Thinking Skills, Problem Solving
Shafee Mohammed – ProQuest LLC, 2020
Predicting learning and human behavior in general is a challenging endeavor. Machine learning driven predictive modeling have been an increasingly popular means to understand disparities in student performance. With more than a handful of approaches to predictive modeling, the current literature of predicting learning is plagued with issues such…
Descriptors: Prediction, Short Term Memory, Blended Learning, Student Behavior
Lyniesha Chanell Wright – ProQuest LLC, 2020
Effectively mastering organic chemistry means having the ability to recognize structural patterns, identify properties or behaviors as a result of patterns, manipulate and transform representations, and predict future outcomes. Often students rely on rote memorization of seemingly disconnected information instead of developing a sound…
Descriptors: Organic Chemistry, Science Instruction, Visualization, Models
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Zagorskis, Viktors; Kapanieks, Atis; Gorbunovs, Aleksandrs; Kadakovska, Zane – International Association for Development of the Information Society, 2018
Complex mathematical approaches exist in biological, social, and educational sciences, creating models to understand and explain cognition processes in human brain. Yet, the logged raw data is just an initial learners' behavior footprint in Virtual Learning Environments. Exploratory Data analysis would help to deepen the understanding of cognition…
Descriptors: Learning Processes, Cognitive Ability, Electronic Learning, Brain
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Cruz, Laura; Cunningham, Kathryn; Smentkowski, Brian; Steiner, Hillary – To Improve the Academy, 2019
This article presents a scholarship of teaching and learning (SoTL) scaffold, a conceptual model designed for educational developers (and others) who support the values, practices, and production of the SoTL, both on their campuses and beyond. The SoTL scaffold explicates distinct support levels, ranging from spark to lead, each of which call for…
Descriptors: Teaching Methods, Learning Processes, Educational Development, Concept Formation
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Doan, Thanh-Nam; Sahebi, Shaghayegh – International Educational Data Mining Society, 2019
One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…
Descriptors: Data Analysis, Performance Factors, Prediction, Models
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