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Anna G. Brady – Research in Science Education, 2024
Computer-based learning environments (CBLEs) are powerful tools to support student learning. Increasingly of interest is the data that is recorded as learners interact with a CBLE. This "process data" yields opportunities for researchers to examine learners' engagement with a CBLE and explore whether specific interactions are associated…
Descriptors: Electronic Learning, Educational Environment, Data Use, Learner Engagement
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Lubna Hakami; Davinia Hernández-Leo; Ishari Amarasinghe; Batuhan Sayis – British Journal of Educational Technology, 2024
Despite the growing interest in using multimodal data to analyse students' actions in Computers-Supported Collaborative Learning (CSCL) settings, studying teacher's orchestration load in such settings remains overlooked. The notion of classroom orchestration, and orchestration load, offer a lens to study the implications of increasingly complex…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Teacher Responsibility, Faculty Workload
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Kerstin Huber; Maria Bannert – Journal of Computing in Higher Education, 2024
The empirical study investigates what log files and process mining can contribute to promoting successful learning. We want to show how monitoring and evaluation of learning processes can be implemented in the educational life by analyzing log files and navigation behavior. Thus, we questioned to what extent log file analyses and process mining…
Descriptors: Learning Processes, Data Analysis, Navigation (Information Systems), Student Behavior
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Pelanek, Radek – IEEE Transactions on Learning Technologies, 2020
A measure of similarity of educational items has many applications in adaptive learning systems and can be useful also for teachers and content creators. We provide a thorough overview of approaches for measuring item similarity. We document the computation pipeline, explicitly highlighting many choices that have to be made in order to quantify…
Descriptors: Educational Technology, Instructional Materials, Measurement Techniques, Differences
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Anabela Anabela Malpique; Mustafa Asil; Deborah Pino-Pasternak; Susan Ledger; Timothy Teo – Reading and Writing: An Interdisciplinary Journal, 2025
Digital tools are an integral part of most writing communities across the globe, enhancing the criticality of gaining a comprehensive understanding of both paper and computer-based writing acquisition and development. The relationships between transcription skills and children's paper-based writing performance are well documented. Less is known…
Descriptors: Handwriting, Writing Skills, Keyboarding (Data Entry), Spelling
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Bin Meng; Fan Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This paper proposes a computer-aided teaching model using knowledge graph construction and learning path recommendation. It first creates a multimodal knowledge graph to illustrate complex relationships among knowledge. Learning elements and sequences are then used to form time sequences stored as directed graphs, supporting flexible path…
Descriptors: Students, Teachers, Computer Assisted Instruction, Knowledge Representation
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Carrie Wright; Qier Meng; Michael R. Breshock; Lyla Atta; Margaret A. Taub; Leah R. Jager; John Muschelli; Stephanie C. Hicks – Journal of Statistics and Data Science Education, 2024
With unprecedented and growing interest in data science education, there are limited educator materials that provide meaningful opportunities for learners to practice "statistical thinking," as defined by Wild and Pfannkuch, with messy data addressing real-world challenges. As a solution, Nolan and Speed advocated for bringing…
Descriptors: Statistics, Statistics Education, Open Educational Resources, Case Method (Teaching Technique)
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Vykopal, Jan; Seda, Pavel; Svabensky, Valdemar; Celeda, Pavel – IEEE Transactions on Learning Technologies, 2023
Hands-on computing education requires a realistic learning environment that enables students to gain and deepen their skills. Available learning environments, including virtual and physical laboratories, provide students with real-world computer systems but rarely adapt the learning environment to individual students of various proficiency and…
Descriptors: Students, Educational Technology, Computer Assisted Instruction, Media Adaptation
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Shreiner, Tamara L.; Guzdial, Mark – British Journal of Educational Technology, 2022
In this study, support for teaching data literacy in social studies is provided through the design of a pedagogical support system informed by participatory design sessions with both pre-service and in-service social studies teachers. It provides instruction on teaching and learning data literacy in social studies, examples of standards-based…
Descriptors: Computer Assisted Instruction, Information Literacy, Data, Statistics Education
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Ian Thacker; Rebecca Schroeder; Sara Shields-Menard; Nickolas Goforth – International Journal of Science and Mathematics Education, 2025
To create opportunities for meaningful applications of data science for diverse students, we developed and implemented an online learning module focused on engaging students at a Hispanic Serving Institution (HSI) in an analysis of authentic soil data. Development of the module occurred over three design iterations involving interviews with 10…
Descriptors: Hispanic American Students, Minority Serving Institutions, Data Science, Undergraduate Students
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Karel Kok; Burkhard Priemer – Physical Review Physics Education Research, 2023
Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…
Descriptors: Data Analysis, Comparative Analysis, Secondary School Students, Teaching Methods
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Li, Yanyan; Zhang, Muhua; Su, You; Bao, Haogang; Xing, Shuang – Educational Technology Research and Development, 2022
Learning analytics dashboards have been developed to facilitate teacher guidance in computer-supported collaborative learning (CSCL). As yet, little is known about how teachers interpret dashboard information to facilitate guidance in their teaching practice. This study examined teachers' behavior patterns in interpreting information from…
Descriptors: Teacher Behavior, Teacher Attitudes, Educational Technology, Guidance
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HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
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Yuchen Liu; Stanislav Pozdniakov; Roberto Martinez-Maldonado – Australasian Journal of Educational Technology, 2024
Learning analytics (LA) dashboards are becoming increasingly available in various learning settings. However, teachers may face challenges in understanding and interpreting the data visualisations presented on those dashboards. In response to this, some LA researchers are incorporating visual cueing techniques, like data storytelling (DS), into LA…
Descriptors: Visualization, Story Telling, Data Use, Cognitive Processes
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Wu, Zhenhua; Chiang, Feng-Kuang – Interactive Learning Environments, 2023
Although computer-assisted vocabulary acquisition tools have been widely applied to English as a foreign language learning, the kinesthetic and tactile potential of such tools has not been fully utilized. Embodied cognition suggested that the change of practice modality (from handwriting to keyboarding), involves different sensory-motor…
Descriptors: Instructional Effectiveness, Keyboarding (Data Entry), English (Second Language), Second Language Learning
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