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Ghosh, Biswadip – Information Systems Education Journal, 2022
This case is a narrative of the acquisition of HIRA, a healthcare IT startup, by Conversant, a large global consulting powerhouse from a few years back. The clash of two different company cultures, their conflicting business strategies, different IT infrastructures, and very different customer sets created significant challenges in their…
Descriptors: Information Technology, Entrepreneurship, Organizational Change, Business
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Yamashita, Takashi; Cummins, Phyllis A. – Community College Journal of Research and Practice, 2022
Advancing technologies such as artificial intelligence and robots are steadily replacing jobs in the USA. Continuous skill-upgrading and re-skilling are critical for workers to remain employable throughout their careers. In these social and economic contexts, community colleges play significant roles to provide workforce education and training…
Descriptors: Automation, Community Colleges, Risk, Job Skills
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Sperling, Katarina; Stenliden, Linnéa; Nissen, Jörgen; Heintz, Fredrik – European Journal of Education, 2022
Machine learning and other artificial intelligence (AI) technologies are predicted to play a transformative role in primary education, where these technologies for automation and personalization are now being introduced to classroom instruction. This article explores the rationales and practices by which machine learning and AI are emerging in…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Mathematics Instruction
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Geng, Jingxin; Razali, Abu Bakar – English Language Teaching, 2022
Automated Writing Evaluation program (AWE) has gained increasing ground in ESL/EFL writing instruction because of its instructional features, such as the instant automated writing score system and the diagnostic corrective feedback in real-time for individual written drafts. However, there is little known about how the automated feedback provided…
Descriptors: Program Effectiveness, Automation, Writing Evaluation, Undergraduate Students
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Gorgun, Guher; Yildirim-Erbasli, Seyma N.; Epp, Carrie Demmans – International Educational Data Mining Society, 2022
The need to identify student cognitive engagement in online-learning settings has increased with our use of online learning approaches because engagement plays an important role in ensuring student success in these environments. Engaged students are more likely to complete online courses successfully, but this setting makes it more difficult for…
Descriptors: Online Courses, Group Discussion, Learner Engagement, Student Participation
Michael Matta; Milena A. Keller-Margulis; Sterett H. Mercer – Grantee Submission, 2022
Although researchers have investigated technical adequacy and usability of written-expression curriculum-based measures (WE-CBM), the economic implications of different scoring approaches have largely been ignored. The absence of such knowledge can undermine the effective allocation of resources and lead to the adoption of suboptimal measures for…
Descriptors: Cost Effectiveness, Scoring, Automation, Writing Tests
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Laura Lohman – Journal of Faculty Development, 2022
Cross-disciplinary manifestations of teaching and learning centers' traditional role in fostering community and connection among faculty are especially important amid decentralization and distributed work locations spurred by the COVID-19 pandemic. This article details practical applications of codeless workflow automation platforms to support…
Descriptors: Teacher Centers, Automation, Organizational Communication, Technology Uses in Education
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
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