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Gogus, Aytac – Online Learning, 2023
Offering online courses can be seen as a way of enhancing the three essential "presences" (teaching, cognitive, and social) of the Community of Inquiry (CoI) model. Creating and enhancing cognitive, teaching, and social presences require an innovation for teachers during planning, implementing, and evaluating their online courses. As…
Descriptors: Online Courses, Electronic Learning, Learning Experience, Cognitive Processes
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Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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Patricia A. Alexander; P. Karen Murphy – Educational Psychology Review, 2024
In 2006, after receiving the Division 15 Career Award, Alexander delivered a keynote address entitled "Evolution of a Learning Theory: A Case Study." This presentation was a clarion call for greater respect for and attention to scientific speculation in educational psychology as a critical component in theory building. To build her case,…
Descriptors: Learning Theories, Case Studies, Scientific Principles, Educational Psychology
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Danielle Kearns-Sixsmith – Mentoring & Tutoring: Partnership in Learning, 2024
Tutoring promotes student achievement, academic independence, and the reduction of anxiety. While ample studies support tutoring for enhancing student success, few address how to evaluate tutoring. This quandary led to research in building and testing a meta-model that identified the hallmarks of one-on-one high-quality online tutoring.…
Descriptors: Electronic Learning, Tutoring, Higher Education, Educational Quality
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Craig J. Cullen; Lawrence Ssebaggala; Amanda L. Cullen – Mathematics Teacher: Learning and Teaching PK-12, 2024
In this article, the authors share their favorite "Construct It!" activity, which focuses on rate of change and functions. The initial approach to instruction was procedural in nature and focused on making use of formulas. Specifically, after modeling how to find the slope of the line given two points and use it to solve for the…
Descriptors: Models, Mathematics Instruction, Teaching Methods, Generalization
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Anat Korem – European Journal of Psychology of Education, 2024
Teasing among children is frequent in school life. Continued exposure to verbal abuse has negative effects on children's development, including damage to their feeling of safeness and their self-image, withdrawal, and avoiding social situations. This essay focuses on developing the social competence of children who face continuing situations such…
Descriptors: Models, Interpersonal Competence, Peer Relationship, Bullying
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Elouise Botes; Jean-Marc Dewaele; Samuel Greiff; Thomas Goetz – Studies in Second Language Acquisition, 2024
Personality has been identified as a possible antecedent to emotions experienced in the foreign language (FL) classroom. However, contrasting results and differing personality models have resulted in ambiguous findings. This study set out to delve deeper into the role of personality as a predictor of FL emotions through a series of increasingly…
Descriptors: Personality, Prediction, Second Language Learning, Psychological Patterns
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Teo Susnjak – International Journal of Artificial Intelligence in Education, 2024
A significant body of recent research in the field of Learning Analytics has focused on leveraging machine learning approaches for predicting at-risk students in order to initiate timely interventions and thereby elevate retention and completion rates. The overarching feature of the majority of these research studies has been on the science of…
Descriptors: Prediction, Learning Analytics, Artificial Intelligence, At Risk Students
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David Arthur; Hua-Hua Chang – Journal of Educational and Behavioral Statistics, 2024
Cognitive diagnosis models (CDMs) are the assessment tools that provide valuable formative feedback about skill mastery at both the individual and population level. Recent work has explored the performance of CDMs with small sample sizes but has focused solely on the estimates of individual profiles. The current research focuses on obtaining…
Descriptors: Algorithms, Models, Computation, Cognitive Measurement
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Il Do Ha – Measurement: Interdisciplinary Research and Perspectives, 2024
Recently, deep learning has become a pervasive tool in prediction problems for structured and/or unstructured big data in various areas including science and engineering. In particular, deep neural network models (i.e. a basic core model of deep learning) can be viewed as an extension of statistical models by going through the incorporation of…
Descriptors: Artificial Intelligence, Statistical Analysis, Models, Algorithms
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Siripon Saenboonsong; Akarapon Poonsawad – Journal of Education and Learning, 2024
The aims of this study were to synthesize and evaluate the learning model in gamification environment together with cartoon animation media to promote students' creative problem-solving skills. This study was divided into three phases, (i) synthesized and evaluated the appropriateness of learning model (ii) developed cartoon animation and (iii)…
Descriptors: Problem Solving, Creative Thinking, Cartoons, Gamification
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Erica du Toit; Ben Marx; Rozanne Smith – Advances in Accounting Education: Teaching and Curriculum Innovations, 2024
The International Integrated Reporting Council introduced the concept of integrated thinking skills to the accounting world overall. This study uses a constructivist approach to address the development of integrated thinking skills for future professional accountants during higher education. This issue is relevant as many professional accounting…
Descriptors: Thinking Skills, Skill Development, Accounting, Higher Education
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Prihar, Ethan; Vanacore, Kirk; Sales, Adam; Heffernan, Neil – International Educational Data Mining Society, 2023
There is a growing need to empirically evaluate the quality of online instructional interventions at scale. In response, some online learning platforms have begun to implement rapid A/B testing of instructional interventions. In these scenarios, students participate in series of randomized experiments that evaluate problem-level interventions in…
Descriptors: Electronic Learning, Intervention, Instructional Effectiveness, Data Collection
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Monsalve-Pulido, Julian; Aguilar, Jose; Montoya, Edwin – Education and Information Technologies, 2023
The adaptation of traditional systems to service-oriented architectures is very frequent, due to the increase in technologies for this type of architecture. This has led to the construction of frameworks or methodologies for adapting computational projects to service-oriented architecture (SOA) technology. In this work, a framework for adaptation…
Descriptors: Artificial Intelligence, Information Technology, Design, Governance
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Schriebl, Daniela; Müller, Andreas; Robin, Nicolas – Science & Education, 2023
The terms 'authenticity' and 'authentic' have been used increasingly frequently in educational contexts over the past decades. In science education, authenticity is claimed to be a crucial concept, inter alia, for students' motivation and interest in science. However, both terms are used, defined and conceptualised in various and ambiguous ways.…
Descriptors: Science Education, Authentic Learning, Student Motivation, Models
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