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Rahm, Lina – Learning, Media and Technology, 2023
The relationship between technical development and education is a reciprocal one, where education always stands in relation to those skills, competencies, and techniques that are anticipated as necessary in a technological future. At the same time, skills and competencies are also necessary to drive innovation and technical development for the…
Descriptors: Automation, Artificial Intelligence, Educational History, Genealogy
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Anita Pásztor-Kovács; Attila Pásztor; Gyöngyvér Molnár – Interactive Learning Environments, 2023
In this paper, we present an agenda for the research directions we recommend in addressing the issues of realizing and evaluating communication in CPS instruments. We outline our ideas on potential ways to improve: (1) generalizability in Human-Human assessment tools and ecological validity in Human-Agent ones; (2) flexible and convenient use of…
Descriptors: Cooperation, Problem Solving, Evaluation Methods, Teamwork
Laura K. Allen; Arthur C. Grasser; Danielle S. McNamara – Grantee Submission, 2023
Assessments of natural language can provide vast information about individuals' thoughts and cognitive process, but they often rely on time-intensive human scoring, deterring researchers from collecting these sources of data. Natural language processing (NLP) gives researchers the opportunity to implement automated textual analyses across a…
Descriptors: Psychological Studies, Natural Language Processing, Automation, Research Methodology
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Laing, Gregory; Kirkham, Ross; Van Kampen, Toine – e-Journal of Business Education and Scholarship of Teaching, 2020
The purpose of this paper is to present an automated approach for the marking and grading of the commonly used accounting practice assignment for first year financial accounting. The automated system has potential benefits for the reduction in time and cost to the running of the course as well as providing students with an objective standardised…
Descriptors: Automation, Grading, Accounting, Business Administration Education
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Winifred Bentil; Chern Li Liew – Journal of Electronic Resources Librarianship, 2024
This study investigates staffing competencies and collaboration for electronic resource management (ERM) in public and private university libraries in Ghana. Interviews were conducted with twenty-four library staff from two public and two private universities and three consortium executives. The findings revealed similarities and differences in…
Descriptors: Foreign Countries, Academic Libraries, Library Personnel, Electronic Libraries
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Sami Baral; Eamon Worden; Wen-Chiang Lim; Zhuang Luo; Christopher Santorelli; Ashish Gurung; Neil Heffernan – Grantee Submission, 2024
The effectiveness of feedback in enhancing learning outcomes is well documented within Educational Data Mining (EDM). Various prior research have explored methodologies to enhance the effectiveness of feedback to students in various ways. Recent developments in Large Language Models (LLMs) have extended their utility in enhancing automated…
Descriptors: Automation, Scoring, Computer Assisted Testing, Natural Language Processing
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Jonathan K. Foster; Peter Youngs; Rachel van Aswegen; Samarth Singh; Ginger S. Watson; Scott T. Acton – Journal of Learning Analytics, 2024
Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos…
Descriptors: Learning Analytics, Automation, Classification, Artificial Intelligence
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Yifan Li; Anmin Liu; Runming Si; Leyan Liu; Qidong Zhao – Journal of Chemical Education, 2024
The plate and frame filtration experiment is one of the essential experiments performed by undergraduate students during their practical education. While this experiment often relies on the conventional manual recording of data and calculation, there are frequent problems with data collection because capturing transient data of filtrate volume and…
Descriptors: Internet, Automation, Undergraduate Study, College Science
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Miguel Ángel Escotet – Prospects, 2024
Artificial Intelligence is a fast-evolving technology with enormous potential for education, higher education, and learning. AI can also negatively impact how societies and their citizens engage ethically with these generated, still-unexplored tools. These technological breakthroughs present both opportunity and potential peril. The problem of any…
Descriptors: Futures (of Society), Artificial Intelligence, Technology Uses in Education, Higher Education
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Nunes, Andreia; Cordeiro, Carolina; Limpo, Teresa; Castro, São Luís – Journal of Computer Assisted Learning, 2022
Background: Automated Writing Evaluation (AWE) systems to aid writing learning and instruction in primary and secondary education are growing increasingly popular. However, their effectiveness is hardly known. We conducted a systematic review focusing on the effects of these systems providing writing feedback to students in school settings.…
Descriptors: Writing Evaluation, Automation, Program Evaluation, Writing Instruction
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Khiat, Henry – Active Learning in Higher Education, 2022
Effective time management is essential for us all, whether students or anyone else. There are many factors which affect how well students manage their time and in what ways. As with everything, some are excellent at managing their time and others are not. As faculty, we can assist our learners to better manage their time, whether this is in the…
Descriptors: Time Management, Automation, Self Control, Learning Strategies
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Matsuda, Noboru; Wood, Jesse; Shrivastava, Raj; Shimmei, Machi; Bier, Norman – Journal of Educational Data Mining, 2022
A model that maps the requisite skills, or knowledge components, to the contents of an online course is necessary to implement many adaptive learning technologies. However, developing a skill model and tagging courseware contents with individual skills can be expensive and error prone. We propose a technology to automatically identify latent…
Descriptors: Skills, Models, Identification, Courseware
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Frana, Philip L. – Honors in Practice, 2022
An interdisciplinary honors course titled "Minds, Machines, and Meaning" incorporates the notion of the algorithmic imaginary, which explains how people make use of algorithms to create new information infrastructures and communities and how these algorithms shape us in turn. Describing a culminating writing assignment in speculative…
Descriptors: Honors Curriculum, Interdisciplinary Approach, Mathematics, Writing Assignments
Francine Bard Fabricant – ProQuest LLC, 2022
This exploratory case study examined how and if career counselors learned about the impact of automation and artificial intelligence (AI) on occupations, including which actions, activities, and conditions helped or hindered their learning, and what impact this learning had on their professional practice. The data included questionnaires and…
Descriptors: Career Counseling, Counselors, Automation, Artificial Intelligence
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Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
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