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Dorottya Demszky; Jing Liu; Heather C. Hill; Dan Jurafsky; Chris Piech – Educational Evaluation and Policy Analysis, 2024
Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…
Descriptors: Online Courses, Automation, Feedback (Response), Large Group Instruction
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Sun, Bo; Zhu, Yunzong; Yao, Zeng; Xiao, Rong; Xiao, Yongkang; Wei, Yungang – IEEE Transactions on Learning Technologies, 2020
Reading comprehension tasks are commonly used for developing students' reading ability. In order to adaptively recommend reading comprehension materials to students engaged in computerized testing, the information in an item bank (a collection of test items stored in a dataset) must be effectively indexed. Familiarity with the topics present in…
Descriptors: Automation, Indexing, Item Banks, Classification
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Muuli, Eerik; Tõnisson, Eno; Lepp, Marina; Luik, Piret; Palts, Tauno; Suviste, Reelika; Papli, Kaspar; Säde, Merilin – Education and Information Technologies, 2020
There are thousands of participants in different programming MOOCs (Massive Open Online Courses) which means thousands of solutions have to be assessed. As it is very time-consuming to assess that amount of solutions manually, using automated assessment is essential. Since task requirements must be strict for the solutions to be automatically…
Descriptors: Online Courses, Programming, Computer Assisted Testing, Visual Stimuli
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Maio, Shannon; Dumas, Denis; Organisciak, Peter; Runco, Mark – Creativity Research Journal, 2020
In recognition of the capability of text-mining models to quantify aspects of language use, some creativity researchers have adopted text-mining models as a mechanism to objectively and efficiently score the Originality of open-ended responses to verbal divergent thinking tasks. With the increasing use of text-mining models in divergent thinking…
Descriptors: Creative Thinking, Scores, Reliability, Data Analysis
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Amigud, Alexander – Studies in Higher Education, 2020
This paper presents the results of an exploratory study that examined engagement approaches of contract cheating services on the Twitter platform. The literature portrays the grey academic market as an invisible hand that magically delivers academic content at the click of a button, which leaves a wide gap in our understanding of their outreach…
Descriptors: Cheating, Ethics, Social Media, Plagiarism
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Brahman, Faeze; Varghese, Nikhil; Bhat, Suma; Chaturvedi, Snigdha – International Educational Data Mining Society, 2020
Despite several advantages of online education, lack of effective student-instructor interaction, especially when students need timely help, poses significant pedagogical challenges. Motivated by this, we address the problems of automatically identifying posts that express confusion or urgency from Massive Open Online Course (MOOC) forums. To this…
Descriptors: Automation, Online Courses, Discussion Groups, Identification
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Warnes, Zachary; Smirnov, Evgueni – International Educational Data Mining Society, 2020
Selecting courses in an open-curriculum education program is a difficult task for students and academic advisors. Course recommendation systems nowadays can be used to reduce the complexity of this task. To control the recommendation error, we argue that course recommendations need to be provided together with "statistical" confidence.…
Descriptors: Course Selection (Students), Automation, Validity, Prediction
Tuomela, Mikko S. – ProQuest LLC, 2020
An overwhelming mass of data is available in today's digital world. The fact that certain data exists does not mean that it is accessible; and if it is accessible, it is not necessarily usable. In this work, noting the prevalence of the web interface to read content online, an augmented web solution is presented to help readers with comprehension:…
Descriptors: Automation, Documentation, Reading Comprehension, Technology Uses in Education
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Sellar, Sam; Gulson, Kalervo N. – Journal of Education Policy, 2021
New cognitive infrastructures are emerging as digital platforms and artificial intelligence enable new forms of automated thinking that shape human decision-making. This paper (a) offers a new theoretical perspective on automated thinking in education policy and (b) illustrates how automated thinking is emerging in one specific policy context. We…
Descriptors: Automation, Artificial Intelligence, Educational Policy, Decision Making
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Denning, Peter J.; Tedre, Matti – Informatics in Education, 2021
Over its short disciplinary history, computing has seen a stunning number of descriptions of the field's characteristic ways of thinking and practicing, under a large number of different labels. One of the more recent variants, notably in the context of K-12 education, is "computational thinking", which became popular in the early 2000s,…
Descriptors: Thinking Skills, Computation, Computer Science, Mathematics
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Ramos, Ilmara Monteverde Martins; Ramos, David Brito; Gadelha, Bruno Freitas; de Oliveira, Elaine Harada Teixeira – IEEE Transactions on Learning Technologies, 2021
Forming groups in distance education is challenging for teachers because, with this modality, only 20% of the classes are held in person with the students. Thus, it is essential to achieve satisfactory results with automated approaches that can help teachers. In this article, an automated approach is proposed to assist teachers in recommending…
Descriptors: Cooperative Learning, Integrated Learning Systems, Electronic Learning, Distance Education
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Nelson, Laura K.; Burk, Derek; Knudsen, Marcel; McCall, Leslie – Sociological Methods & Research, 2021
Advances in computer science and computational linguistics have yielded new, and faster, computational approaches to structuring and analyzing textual data. These approaches perform well on tasks like information extraction, but their ability to identify complex, socially constructed, and unsettled theoretical concepts--a central goal of…
Descriptors: Coding, Content Analysis, Computer Use, Artificial Intelligence
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Ren, Ran; Zhang, Jiansong; Jiang, Yi – Journal of Civil Engineering Education, 2021
Construction management education in the architecture, engineering, and construction (AEC) domain is increasingly challenged with managing limited resources while increasing instructors' teaching effectiveness and improving students' learning outcomes. To address this challenge, the authors proposed a new automated activity-on-node (AON)…
Descriptors: Construction Management, Educational Innovation, Grading, Automation
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Pal, Saurabh; Pramanik, Pijush Kanti Dutta; Majumdar, Tripti; Choudhury, Prasenjit – Education and Information Technologies, 2019
Video-based learning offers a learner a self-paced, lucid, memorizable, and a flexible way of learning. The availability of abundant educational video materials on the web has certainly abetted an individual's learning means. But the lack of necessary information about the videos makes it difficult for the learner to search and select the exact…
Descriptors: Metadata, Automation, Electronic Learning, Video Technology
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Vallo Hult, Helena; Byström, Katriina – Studies in Continuing Education, 2022
Digitalisation does not only transform material constructions of workplaces and work but also social constructions for employees' interaction and learning at work. In this paper, we explore emerging challenges related to the digitalisation of workplaces aiming for an understanding of the changing prerequisites for working and competence. Our…
Descriptors: Workplace Learning, Information Systems, Technology, Automation
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