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Rob Wilson; Derek Bosworth; Luke Bosworth; Jeisson Cardenas-Rubio; Rosie Day; Shyamoli Patel; Ha Bui; Xinru Lin; Daniel Seymour; Chris Thoung – National Foundation for Educational Research, 2022
This report is part of a suite of documents produced under the heading of Working Paper 2, which has been prepared for "The Skills Imperative 2035: Essential Skills for Tomorrow's Workforce" research programme. This report presents results for some "Alternative scenarios" which have been developed to explore the range of…
Descriptors: Foreign Countries, Labor Market, Macroeconomics, Economic Change
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Lonneke Boels; Enrique Garcia Moreno-Esteva; Arthur Bakker; Paul Drijvers – International Journal of Artificial Intelligence in Education, 2024
As a first step toward automatic feedback based on students' strategies for solving histogram tasks we investigated how strategy recognition can be automated based on students' gazes. A previous study showed how students' task-specific strategies can be inferred from their gazes. The research question addressed in the present article is how data…
Descriptors: Eye Movements, Learning Strategies, Problem Solving, Automation
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Anand Jeyaraj – Journal of Information Systems Education, 2024
A significant activity in the business analytics process is enrichment, which deals with acquiring and combining data from external sources. While different strategies for enrichment are possible, it can be accomplished more efficiently through automation using Python scripts. Since business students may not be immersed in technology skills and…
Descriptors: Scaffolding (Teaching Technique), Business Administration Education, Data Analysis, Programming Languages
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Duo Liu; Lei Wang; Terry Tin-Yau Wong; R. Malatesha Joshi – Journal of Research in Reading, 2024
Background: Rapid automatised naming (RAN) has been found to predict children's reading and arithmetic abilities. However, the underlying mechanisms for its involvement in the two abilities are not clear. This study examines how RAN shared variances with domain-general and domain-specific abilities in predicting reading and arithmetic in Chinese…
Descriptors: Grade 3, Elementary School Students, Foreign Countries, Automation
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Xiaoqin Shi; Xiaoqing Wang; Wei Zhang – Language Testing in Asia, 2024
Automatic Speech Scoring (ASS) has increasingly become a useful tool in oral proficiency testing for Second Language (L2) learners. However, limited studies investigate the alignment of ASS indices with the Complexity, Accuracy, and Fluency (CAF)--the three dimensions in evaluating L2 speakers' oral proficiency, and the subsequent impact indices…
Descriptors: Speech Communication, Oral Language, Language Proficiency, Scoring
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Qi Wang; Shengquan Yu – Interactive Learning Environments, 2024
Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…
Descriptors: Electronic Learning, Educational Resources, Automation, Models
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Wai Tong Chor; Kam Meng Goh; Li Li Lim; Kin Yun Lum; Tsung Heng Chiew – Education and Information Technologies, 2024
The programme outcomes are broad statements of knowledge, skills, and competencies that the students should be able to demonstrate upon graduation from a programme, while the Educational Taxonomy classifies learning objectives into different domains. The precise mapping of a course outcomes to the programme outcome and the educational taxonomy…
Descriptors: Artificial Intelligence, Engineering Education, Taxonomy, Educational Objectives
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Mikyung Kim Wolf; Saerhim Oh – Language Learning & Technology, 2024
With the increased rigor of academic standards, high expectations of academic writing skills have been imposed on students in U.S. K-12 schools. For English learner (EL) students who cope with the dual challenges of learning rigorous subject matters and developing their English language proficiency simultaneously, extra support and effective…
Descriptors: Middle School Students, English Language Learners, Feedback (Response), Academic Language
Editorial Projects in Education, 2023
Technology plays a vital role in career-readiness education, equipping students with the skills necessary for success in the modern workforce. This Spotlight will help readers learn more about workforce readiness after-school programs; explore strategies to get girls more interested in STEM careers; investigate the benefits of virtual work-based…
Descriptors: Career Readiness, Technology, Labor Force Development, After School Programs
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Orhani, Senad; Saramati, Emir; Drini, Lulzim – European Journal of Educational Management, 2023
In recent years, our schools have faced the necessity of creating a new school administration system, which would provide a good basis for electronic management. In this article, we will show how an electronic school management system works, and we will track the teachers' opinions from our school regarding the use of the electronic school…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, School Administration
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Gholizadeh, Gholamreza; Rahimi, Mehrak – Contemporary Educational Technology, 2023
Mobile learning has extensively influenced students' learning gains and motivation due to the hardware and software development of mobile devices and applications in recent decades. On-the-go learning increases the capacity for flexible and joyful learning and guarantees access to the instructional content anywhere, anytime. Despite their…
Descriptors: Self Management, Automation, Error Correction, Vocabulary
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Love, Tyler S.; Cysyk, Joshua P.; Attaluri, Anilchandra; Tunks, Robert D.; Harter, Kevin; Sipos, Renee – Journal of Science Education and Technology, 2023
Programming and automation continue to evolve rapidly and advance the capabilities of science, technology, engineering, and mathematics (STEM) fields. However, physical computing (the integration of programming and interactive physical devices) integrated within biomedical contexts remains an area of limited focus in secondary STEM education…
Descriptors: STEM Education, Teacher Attitudes, Teaching Methods, Scientific Concepts
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C. H., Dhawaleswar Rao; Saha, Sujan Kumar – IEEE Transactions on Learning Technologies, 2023
Multiple-choice question (MCQ) plays a significant role in educational assessment. Automatic MCQ generation has been an active research area for years, and many systems have been developed for MCQ generation. Still, we could not find any system that generates accurate MCQs from school-level textbook contents that are useful in real examinations.…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Automation, Test Items
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Su, Jiahong; Yang, Weipeng – ECNU Review of Education, 2023
Purpose: Artificial intelligence (AI) chatbots, such as ChatGPT and GPT-4, developed by OpenAI, have the potential to revolutionize education. This study explores the potential benefits and challenges of using ChatGPT in education (or "educative AI"). Design/Approach/Methods: This paper proposes a theoretical framework called…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication, Educational Technology
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Kim, Hyojoon; Song, Jinwoong – Research in Science Education, 2023
Online learning overcomes space and time constraints; however, it presents challenges in teacher-learner interaction. This study explores the potential of feedback in online formative assessment (OFA) to enhance such interactions. This study identified different types of feedbacks and analyzed the characteristics of interactions between teachers,…
Descriptors: Teacher Student Relationship, Interaction, Computer Assisted Testing, Formative Evaluation
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