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Yupeng Lin; Zhonggen Yu – Interactive Technology and Smart Education, 2024
Purpose: The application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research…
Descriptors: Bibliometrics, Artificial Intelligence, Educational Technology, Technology Uses in Education
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Nuno Verdelho Trindade; Lidia Custodio; Alfredo Ferreira; Joao Madeiras Pereira – IEEE Transactions on Learning Technologies, 2024
Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…
Descriptors: Computer Simulation, Computer Graphics, Visualization, Computer Assisted Instruction
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Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
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Yasuhiro, Yusuke; Ishimura, Masachika; Kinugawa, Tohru – Physics Education, 2020
We have added two improvements to a self-luminous LED stroboscope (a flashing point-like projectile developed for introductory mechanics): downsizing by replacing heavy and risky batteries with a compact and safe capacitor of several Farads (a so-called Super-C) and wireless control via ordinary IR (infrared) communications. Consequently, the…
Descriptors: Mechanics (Physics), Science Equipment, Photography, Motion
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Jiang, Shiyan; Kahn, Jennifer – International Journal of Computer-Supported Collaborative Learning, 2020
Data visualization technologies are powerful tools for telling evidence-based narratives about oneself and the world. This paper contributes to the literature on data science education by examining the sociotechnical practices of data wrangling--strategies for selecting and managing large, aggregated datasets to produce a model and story. We…
Descriptors: Data Collection, Data Analysis, Visualization, Story Telling
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Liu, Sisi; Peng, Ming – Journal of Creative Behavior, 2020
Creativity is linked to broad scope of attention, a state or trait that allocates attentional resources over a wide range of perceptual stimuli. According to the attentional priming hypothesis, a mechanism underlying the creativity--attention link is that broad perceptual attention scope primes broad conceptual attention scope--the activation of a…
Descriptors: Attention, Creativity, Hypothesis Testing, Priming
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Blair, Morgan; Zanidean, Alex – Strategic Enrollment Management Quarterly, 2020
Data interpretation can be difficult. Data visualization techniques from the manufacturing industry make interpretation easier. Control charts display trends in context, so it is clear when performance is truly changing and when it is not. Decision makers know when to act, when to maintain, and when to celebrate. This article discusses the use of…
Descriptors: Enrollment Management, Decision Making, Data Interpretation, Visualization
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Pelanek, Radek – Journal of Learning Analytics, 2021
In this work, we consider learning analytics for primary and secondary schools from the perspective of the designer of a learning system. We provide an overview of practically useful analytics techniques with descriptions of their applications and specific illustrations. We highlight data biases and caveats that complicate the analysis and its…
Descriptors: Learning Analytics, Elementary Schools, Secondary Schools, Educational Technology
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Schumacher, Fabian; Wilde, Matthias – European Journal of Educational Research, 2021
Professional teaching competence is significantly influenced by beliefs about teaching and learning. Prospective teachers start their teacher training with quite persistent beliefs about learning processes. These beliefs are mainly influenced by the way they experienced their own lessons as a student at school. Previous biology lessons at school…
Descriptors: Preservice Teachers, Science Teachers, Biology, Student Attitudes
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Lau, Siu-Kit; Joshi, Noopur; Pang, Ming Fai – International Journal of Art & Design Education, 2021
Visual instruction complementing verbal lectures is known to promote learning among students. In this study, the role of visual instruction in engaging learners effectively via the simplification of technical concepts was examined. Different aspects of visualisation, such as order of presenting and dimensionality, were tested to observe their…
Descriptors: Teaching Methods, Visual Aids, Design, Undergraduate Students
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Wu, Jiun-Yu; Yang, Christopher C. Y.; Liao, Chen-Hsuan; Nian, Mei-Wen – Educational Technology & Society, 2021
This methodological-theoretical synergy provides an integrative framework of learning analytics through the development of the human-and-machine symbiotic reinforcement learning. The framework intends to address the challenges of the current learning analytics model, including a lack of internal validity, generalizability, immediacy,…
Descriptors: Learning Analytics, Electronic Learning, Man Machine Systems, Artificial Intelligence
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Changpetch, Pannapa; Reid, Moya – Journal of Education for Business, 2021
Based on a statistical analysis, undergraduate business students are shown to prefer classification tree over six other standard data mining techniques. Data were collected over a 4-year period from students taking a data mining course offered at a business university in the US. The principal reason given by students for this preference is that…
Descriptors: Data Analysis, Models, Statistical Analysis, Undergraduate Students
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Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
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Xie, Heping; Zhao, Tingting; Deng, Sue; Peng, Ji; Wang, Fuxing; Zhou, Zongkui – Journal of Computer Assisted Learning, 2021
Eye movement modelling examples (EMME) are computer-based videos displaying the visualized eye gaze behaviour of a domain expert person (model) while carefully executing the learning or problem-solving task. The role of EMME in promoting cognitive performance (i.e., final scores of learning outcome or problem solving) has been questioned due to…
Descriptors: Eye Movements, Attention, Cognitive Ability, Learning Processes
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Lelis, Catarina – Design and Technology Education, 2021
University students often struggle with choosing a topic for their final projects due to the lack of a supporting and defining framework for said selection. Should the student be oriented toward reflecting on how each of the possible topics to choose from can become an impactful project in the short, mid and long run, maybe that selection becomes…
Descriptors: Student Projects, Design, Selection Tools, Visualization
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