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Nick Clark; John A. Scherpereel – Journal of Political Science Education, 2024
Scholars of teaching and learning frequently examine whether simulations promote content knowledge and engagement with course material. But many educators use simulations to promote additional goals. This article suggests that designers of political simulations often pursue four ends: "knowledge, engagement, skills, and empathy (KESE)."…
Descriptors: Political Science, Teaching Methods, Simulation, Instructional Effectiveness
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Farrokhnia, Maliheh; Zarei, Mitra – Program: Electronic Library and Information Systems, 2013
Purpose: The purpose of this paper is to offer an example of how ontology, such as CIDOC, can be turned into a format from the perspective of an object. In fact, it illustrates the possible semantic analysis of an object description into a view neutral machine-interpretable form. The aim is to show that a museum object located in a museum can be…
Descriptors: Foreign Countries, Museums, Libraries, Archives
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Hopple, Christine J. – Strategies: A Journal for Physical and Sport Educators, 2019
This article describes simple techniques for adding interactive elements to bulletin boards to not only capture students' interest, but to also help further their knowledge of key physical education concepts and skills.
Descriptors: Student Interests, Physical Education, Teaching Methods, Concept Formation
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Baillie, Landon D.; Banow, Ryan; Botterill, Justin J. – Education and Information Technologies, 2022
Lecture capture is a technology where live lectures are recorded in a digital format and made available to students to view at their convenience. The use of this technology in higher education has steadily increased despite mixed results as to whether it is beneficial to student achievement. The current study utilized a two-group…
Descriptors: Lecture Method, Technology Uses in Education, Video Technology, Higher Education
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Lu, Yu; Wang, Deliang; Chen, Penghe; Meng, Qinggang; Yu, Shengquan – International Journal of Artificial Intelligence in Education, 2023
As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Data Analysis
Jorge J. Sanchez – ProQuest LLC, 2022
This dissertation is not a dissertation, at least not in the traditional white-normed academic standards. Let's call it a project. This project aims to capture the lived experiences of Latinos navigating a whitestream educational system while using Hip-Hop culture as a form of empowerment. Whitestream schooling is causing cultural genocide that…
Descriptors: Decolonization, Music, Popular Culture, Self Concept
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Bandola-Gill, Justyna; Arthur, Megan; Ivor Leng, Rhodri – Evidence & Policy: A Journal of Research, Debate and Practice, 2023
Background: 'Co-production' is one of the key concepts in evidence-informed policy and practice -- in terms of both its theoretical importance and its practical applications - being consistently discussed as the most effective strategy for mobilising evidence in policy and practice contexts. The concept of co-production was developed (almost)…
Descriptors: Policy, Evidence Based Practice, Intellectual Disciplines, Theory Practice Relationship
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Zhenchang Xia; Nan Dong; Jia Wu; Chuanguo Ma – IEEE Transactions on Learning Technologies, 2024
As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…
Descriptors: Graphs, Artificial Intelligence, Multivariate Analysis, Prediction
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Cress, Ulrike; Held, Christoph; Kimmerle, Joachim – Computers & Education, 2013
Tag clouds generated in social tagging systems can capture the collective knowledge of communities. Using as a basis spreading activation theories, information foraging theory, and the co-evolution model of cognitive and social systems, we present here a model for an "extended information scent," which proposes that both collective and individual…
Descriptors: Online Searching, Search Strategies, Hypermedia, Social Networks
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Sheila Quaid; Helen Williams – International Journal of Inclusive Education, 2024
As HE professional educators in Social Sciences, we teach a curriculum which foregrounds inequalities. This includes inequalities related to diverse social groups and differences of race, class, gender, disability and sexuality, underpinned by global approaches. Learners are asked to reconsider the social world through a critical lens with perhaps…
Descriptors: Social Sciences, Equal Education, Disadvantaged, Teacher Student Relationship
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Kersting, Nicole B.; Smith, James E.; Vezino, Beau – ZDM: Mathematics Education, 2021
In this article, we report on the development of a novel, video-based measure of teachers' moment-to-moment noticing as knowledge-filtered perception. We developed items to capture teachers' perception of similarity of their own teaching to the teaching shown in three short video clips of authentic classroom instruction. We describe the item…
Descriptors: Video Technology, Technology Uses in Education, Teacher Behavior, Observation
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Ramberg, Ulf; Edgren, Gudrun; Wahlgren, Marie – Teaching in Higher Education, 2021
Capturing progression in students' formal knowledge and employability skills is essential in higher education but evokes questions concerning how to assess and monitor progression. While methods for capturing students' formal knowledge progression have traditionally been at the forefront, methods for capturing employability skills have been less…
Descriptors: Knowledge Level, Employment Potential, Job Skills, Skill Development
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Rabbani, Abed G.; Heo, Wookjae; Lee, Jae Min – Journal of Education for Business, 2022
This research aims to classify college students into meaningful groups based on their subjective financial knowledge (SFK), objective financial knowledge (OFK), and comparative financial knowledge (CFK) using Latent Profile Analysis (LPA). LPA captures underlying dynamics within the grouping variables and compares group differences. Results of LPA…
Descriptors: Profiles, College Students, Money Management, Knowledge Level
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Scruggs, Richard; Baker, Ryan S.; Pavlik, Philip I., Jr.; McLaren, Bruce M.; Liu, Ziyang – Educational Technology Research and Development, 2023
Despite considerable advances in knowledge tracing algorithms, educational technologies that use this technology typically continue to use older algorithms, such as Bayesian Knowledge Tracing. One key reason for this is that contemporary knowledge tracing algorithms primarily infer next-problem correctness in the learning system, but do not…
Descriptors: Algorithms, Prediction, Knowledge Level, Video Games
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Shi, Yang; Schmucker, Robin; Chi, Min; Barnes, Tiffany; Price, Thomas – International Educational Data Mining Society, 2023
Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…
Descriptors: Computer Science Education, Data Analysis, Programming, Coding
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