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Zhou, Yuhao; Li, Xihua; Cao, Yunbo; Zhao, Xuemin; Ye, Qing; Lv, Jiancheng – International Educational Data Mining Society, 2021
In educational applications, "Knowledge Tracing" (KT) has been widely studied for decades as it is considered a fundamental task towards adaptive online learning. Among proposed KT methods, Deep Knowledge Tracing (DKT) and its variants are by far the most effective ones due to the high flexibility of the neural network. However, DKT…
Descriptors: Online Courses, Computer Assisted Instruction, Networks, Learning Analytics
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Sha, Lele; Rakovic, Mladen; Li, Yuheng; Whitelock-Wainwright, Alexander; Carroll, David; Gaševic, Dragan; Chen, Guanliang – International Educational Data Mining Society, 2021
Classifying educational forum posts is a longstanding task in the research of Learning Analytics and Educational Data Mining. Though this task has been tackled by applying both traditional Machine Learning (ML) approaches (e.g., Logistics Regression and Random Forest) and up-to-date Deep Learning (DL) approaches, there lacks a systematic…
Descriptors: Classification, Computer Mediated Communication, Learning Analytics, Data Analysis
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Carreres, Ángeles; Noriega-Sánchez, María – Research-publishing.net, 2021
While translation has been used for centuries for the purpose of language learning, there is no doubt that recent approaches in the area of language and translation pedagogy have helped re-conceptualise -- and re-operationalise -- translation in radically new ways. In the last two decades, the role of translation in language teaching and learning…
Descriptors: Translation, Second Language Learning, Second Language Instruction, Guidelines
Baloch, Sidrah; Kane, Thomas J.; Scherer, Ethan; Staiger, Douglas O. – Annenberg Institute for School Reform at Brown University, 2021
Educators must balance the needs of students who start the school year behind grade level with their obligation to teach grade-appropriate content to all students. Educational software could help educators strike this balance by targeting content to students' differing levels of mastery. Using a regression discontinuity design and detailed…
Descriptors: Educational Technology, Computer Software, Computer Uses in Education, Acceleration (Education)
Hartvigsen, Teresa; Durfee, Melanie; Call, Todd; Throndsen, Jennifer – Utah State Board of Education, 2021
The Early Interactive Reading Software Program encourages literacy growth and achievement in students in grades K-3. The program addresses early reading through the use of computer-based literacy software which provides individualized instruction designed to supplement students' classroom learning. During the 2019-2020 school year, these software…
Descriptors: Elementary School Students, Primary Education, Reading Instruction, Computer Assisted Instruction
Crossley, Scott; Wan, Qian; Allen, Laura; McNamara, Danielle – Grantee Submission, 2021
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…
Descriptors: Writing Skills, Cognitive Processes, Essays, Cues
Katherine Ruthann McKinney – ProQuest LLC, 2021
Postsecondary faculty do not provide detailed, individualized, and timely feedback to students, although faculty and students consider feedback an integral aspect of higher education. Text expander technology, or software programs that automatically convert snippets of predetermined text into longer phrases, can aid postsecondary faculty in…
Descriptors: College Faculty, Adoption (Ideas), Technology, Instructional Innovation
Lynette Hazelton; Jessica Nastal; Norbert Elliot; Jill Burstein; Daniel F. McCaffrey – Grantee Submission, 2021
In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing
Isaac M. Opper – Annenberg Institute for School Reform at Brown University, 2021
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…
Descriptors: Randomized Controlled Trials, Sample Size, Statistical Bias, Artificial Intelligence
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Juliana E. Raffaghelli; Bonnie Stewart – OTESSA Conference Proceedings, 2021
In the higher education context, an increasing concern on the technical or instrumental approach permeates attention to academics' data literacies and faculty development. The need for data literacy to deal specifically with the rise of learning analytics in higher education has been raised by some authors, though in spite of some focus on the…
Descriptors: Statistics Education, Faculty Development, Higher Education, Learning Analytics
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James Elliott – Journal of Learning Development in Higher Education, 2021
This case study details the implementation of task-specific PowerPoint™ presentations for an undergraduate diagnostic radiography module in response to the first COVID-19 lockdown in the United Kingdom. A series of short, focussed learning materials was created over a two-month period to alleviate student anxieties and improve assessment literacy…
Descriptors: Foreign Countries, COVID-19, Pandemics, Case Studies
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Kang, Myunghee; Kim, Seyoung; Yoon, Seonghye; Chung, Warren – Journal of Interactive Learning Research, 2017
The purpose of this study was to set future directions of the Cyber Home Learning System in Korea based on its current status. The Cyber Home Learning System has been designed and used by K-12 students to study voluntarily at home using online lessons. The development process of the Cyber Home Learning System was composed of the following four…
Descriptors: Foreign Countries, Online Courses, Database Management Systems, Computer System Design
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Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang; Lee, Jang Ho – Language Learning & Technology, 2022
The purpose of this article is to set out the design principles and architecture of a second language (L2) learning voice chatbot. Building on L2 acquisition theories and chatbot research, in this article, we report on a South Korean government-funded longitudinal project in which we designed and developed a chatbot called "Ellie".…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
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Finch, Holmes – Practical Assessment, Research & Evaluation, 2022
Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…
Descriptors: Data Analysis, Statistical Inference, Models, College Faculty
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Meepung, Tippawan; Pratsri, Sajeewan – International Education Studies, 2022
The objectives of this research were to (1) develop virtual commerce using the design thinking process to promote modern entrepreneurship, (2) carry out a suitability assessment of this process, and (3) evaluate digital entrepreneurship competency (DEC). The research process was therefore divided into 3 phases in accordance with these aims. The…
Descriptors: Entrepreneurship, Business Administration, Design, Thinking Skills
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