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Prasad, Aditya; Wood, Samantha M. W.; Wood, Justin N. – Developmental Science, 2019
What are the origins of object permanence? Despite widespread interest in this question, methodological barriers have prevented detailed analysis of how experience shapes the development of object permanence in newborn organisms. Here, we introduce an automated controlled-rearing method for studying the emergence of object permanence in strictly…
Descriptors: Object Permanence, Animals, Neonates, Infant Behavior
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Harrak, Fatima; Bouchet, François; Luengo, Vanda – International Educational Data Mining Society, 2019
Students' questions categorization is a challenging task as the available corpora are often limited in size (particularly with languages other than English) and require a costly preliminary manual annotation to train the classifiers. Ensemble learning can help improve machine learning results by combining several models, and is particularly…
Descriptors: Classification, Questioning Techniques, Artificial Intelligence, Documentation
Crossley, Scott A.; Kim, Minkyung; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2019
Summarization is an effective strategy to promote and enhance learning and deep comprehension of texts. However, summarization is seldom implemented by teachers in classrooms because the manual evaluation of students' summaries requires time and effort. This problem has led to the development of automated models of summarization quality. However,…
Descriptors: Automation, Writing Evaluation, Natural Language Processing, Artificial Intelligence
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Conijn, Rianne; Kahr, Patricia; Snijders, Chris – Journal of Learning Analytics, 2023
Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…
Descriptors: Ethics, Writing Evaluation, Artificial Intelligence, Essays
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Frydenberg, Mark – Information Systems Education Journal, 2023
The Internet of Things (IoT) is a network of objects that can exchange data with other devices also connected to the Internet. One of the most common consumer examples of IoT is home automation, as a variety of smart devices, including doorbells, lightbulbs, thermostats, and refrigerators are now available which users can control remotely using…
Descriptors: Internet, Computer Software, Automation, Information Technology
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Bin Zou; Yiran Du; Zhimai Wang; Jinxian Chen; Weilei Zhang – SAGE Open, 2023
The development of artificial intelligence (AI) technology has enhanced the use of automated speech evaluation systems for language learners to practice speaking skills. This study investigated whether various automatic feedback offered by AI speech evaluation programs can help English as a foreign language (EFL) learners develop speaking skills.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Speech Skills
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Samuel Cunningham; Abby Cathcart; Tina Graham – Student Success, 2023
Student Evaluation of Teaching surveys (SETs) are used at universities to inform teaching practice and subject design. However, there is increasing concern about the impact of allegations, abuse, and discrimination in survey open text components. Here we discuss the implementation of an automated screening mechanism using a combination of…
Descriptors: Teacher Evaluation, Teacher Welfare, Student Welfare, Student Surveys
Emily Dux Speltz – ProQuest LLC, 2023
Writing is an essential skill for success in many academic and professional settings. Despite receiving individualized feedback on their writing, many students struggle with writing in postsecondary education. This dissertation addresses this gap by focusing on the writing process--the moment-by-moment actions taken during writing--rather than the…
Descriptors: Writing Instruction, Individualized Instruction, Automation, Feedback (Response)
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Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
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Changhao Liang; Izumi Horikoshi; Rwitajit Majumdar; Brendan Flanagan; Hiroaki Ogata – Educational Technology & Society, 2023
Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…
Descriptors: Automation, Grouping (Instructional Purposes), Groups, Student Characteristics
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Xiaoming Xi – Language Assessment Quarterly, 2023
Following the burgeoning growth of artificial intelligence (AI) and machine learning (ML) applications in language assessment in recent years, the meteoric rise of ChatGPT and its sweeping applications in almost every sector have left us in awe, scrambling to catch up by developing theories and best practices. This special issue features studies…
Descriptors: Artificial Intelligence, Theory Practice Relationship, Language Tests, Man Machine Systems
Daryl Monear; Isaac Kwakye; Mark Lundgren; Rebecca Byrne; Summer Kenesson; Travis Dulany; David Wallace; Terje Gjertsen; Erika Borg; Kristofer Johnson – Washington Student Achievement Council, 2023
The Washington Student Achievement Council (WSAC) has prepared this analysis in collaboration with the State Board for Community and Technical Colleges (SBCTC), the Workforce Training and Education Coordinating Board (Workforce Board), and the Association of Washington Business, as part of a broad educational needs assessment outlined in RCW…
Descriptors: Higher Education, Labor Market, Alignment (Education), Needs Assessment
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Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
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Murad, Dina Fitria; Heryadi, Yaya; Isa, Sani Muhamad; Budiharto, Widodo – Education and Information Technologies, 2020
The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are…
Descriptors: Automation, Online Systems, Electronic Learning, Prediction
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
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