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Showing 1,726 to 1,740 of 6,467 results Save | Export
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Murai, Yumiko; Ikejiri, Ryohei; Yamauchi, Yuhei; Tanaka, Ai; Nakano, Seiko – Interactive Learning Environments, 2023
Cultivating children's creativity and imagination is fundamental to preparing them for an increasingly complex and uncertain future. Engaging in creative learning enables children to think independently and critically, work cooperatively, and take risks while actively engaged in meaningful projects. While current trends in education, such as maker…
Descriptors: Creativity, Imagination, Teaching Methods, Computer Science Education
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Silvia García-Méndez; Francisco de Arriba-Pérez; Francisco J. González-Castaño – International Association for Development of the Information Society, 2023
Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…
Descriptors: Higher Education, Artificial Intelligence, Computer Software, Usability
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Zhanxia Yang; Patricia Moore Shaffer; Courtney Hagan; Parastu Dubash; Marina Bers – Grantee Submission, 2023
The aim of this study was to explore how the Coding as Another Language (CAL) curriculum, developed by Boston College's DevTech Research Group and utilizing the ScratchJr app, impacted students' computational thinking, coding skills, and reading comprehension. To accomplish this, the research team randomly assigned thirteen schools in a…
Descriptors: Coding, Second Language Learning, Curriculum Development, Programming Languages
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Baosen Zhang; Ariana Frkonja-Kuczin; Zhong-Hui Duan; Aliaksei Boika – Journal of Chemical Education, 2023
Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…
Descriptors: Classification, Laboratory Equipment, Visual Aids, Optics
Qian, Yizhou – ProQuest LLC, 2018
With the expansion of computer science (CS) education, CS teachers in K-12 schools should be cognizant of student misconceptions and be prepared to help students establish accurate understanding of computer science and programming. This exploratory design-based research (DBR) study implemented a data-driven approach to identify secondary school…
Descriptors: Misconceptions, Data, Decision Making, Computer Science Education
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Tuomi, Pauliina; Multisilta, Jari Antero; Saarikoski, Petri; Suominen, Jaakko – Education and Information Technologies, 2018
Digitalization is one of the most promising ways to increase productivity in the public sector and is needed to reform the economy by creating new innovation related jobs. The implementation of digital services requires problem solving, design skills, logical thinking, an understanding of how computers and networks operate, and programming…
Descriptors: Foreign Countries, Coding, Programming, Computer Science Education
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Nordahl-Hansen, Anders; Øien, Roald A.; Fletcher-Watson, Sue – Journal of Autism and Developmental Disorders, 2018
Portrayals of characters with autism spectrum disorder (ASD) and/or with autistic traits on film and in TV-series are increasing. Such portrayals may contribute in increasing awareness of the condition but can also increase stereotypes. Thus, these character portrayals are subject to heated debate within the ASD-community, but also in the general…
Descriptors: Autism, Television, Programming (Broadcast), Stereotypes
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Li, Jie; van der Linden, Wim J. – Journal of Educational Measurement, 2018
The final step of the typical process of developing educational and psychological tests is to place the selected test items in a formatted form. The step involves the grouping and ordering of the items to meet a variety of formatting constraints. As this activity tends to be time-intensive, the use of mixed-integer programming (MIP) has been…
Descriptors: Programming, Automation, Test Items, Test Format
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Hwang, Mark – e-Journal of Business Education and Scholarship of Teaching, 2018
The purpose of this teaching case is to develop a hands-on exercise on graph processing using a hybrid system. The paper provides a background on graph databases and how graph processing is supported in a hybrid system, SAP HANA. It also details step-by-step instructions on how to create, modify, and process a graph database using SAP HANA. The…
Descriptors: Graphs, Databases, Programming Languages, Mathematics
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Balaton, M. C.; Da Silva, L. F.; Carvalho, P. S. – Physics Education, 2020
In this paper, we aim to show strategies for improving graph interpretation skills at middle and high school students using OZOBOT® BIT, a small and relatively low-cost programmable robot which had been used to teach programming to young children. OZOBOT's speed can be controlled by drawing lines with colour codes, as well as through a visual…
Descriptors: Middle School Students, High School Students, Skill Development, Graphs
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Gallego-Romero, Jesús Manuel; Alario-Hoyos, Carlos; Estévez-Ayres, Iria; Delgado Kloos, Carlos – Educational Technology Research and Development, 2020
Massive Open Online Courses (MOOCs) can be enhanced with the so-called learning-by-doing, designing the courses in a way that the learners are involved in a more active way in the learning process. Within the options for increasing learners' interaction in MOOCs, it is possible to integrate (third-party) external tools as part of the instructional…
Descriptors: Learner Engagement, Student Behavior, Learning Analytics, Online Courses
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Buteau, Chantal; Gueudet, Ghislaine; Muller, Eric; Mgombelo, Joyce; Sacristán, Ana Isabel – International Journal of Mathematical Education in Science and Technology, 2020
The instrumental approach is a useful theoretical lens for understanding students' learning processes with a main focus on the transformation of an artefact (a human design for a goal-directed activity) into a meaningful instrument (i.e. an artefact and schemes developed by the student). In this paper, we articulate the instrumental approach for…
Descriptors: Undergraduate Students, College Mathematics, Programming Languages, Active Learning
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Daleiden, Patrick; Stefik, Andreas; Uesbeck, P. Merlin; Pedersen, Jan – ACM Transactions on Computing Education, 2020
There are many paradigms available to address the unique and complex problems introduced with parallel programming. These complexities have implications for computer science education as ubiquitous multi-core computers drive the need for programmers to understand parallelism. One major obstacle to student learning of parallel programming is that…
Descriptors: Randomized Controlled Trials, Performance Factors, Programming, Computer Science Education
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Padgett, R. Noah; Morgan, Grant B. – Measurement: Interdisciplinary Research and Perspectives, 2020
The "extended Rasch modeling" (eRm) package in R provides users with a comprehensive set of tools for Rasch modeling for scale evaluation and general modeling. We provide a brief introduction to Rasch modeling followed by a review of literature that utilizes the eRm package. Then, the key features of the eRm package for scale evaluation…
Descriptors: Computer Software, Programming Languages, Self Esteem, Self Concept Measures
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Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
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