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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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Sung, Euisuk; Kim, Juhyun – Technology and Engineering Teacher, 2021
For many years, the trend in technology and engineering education has moved toward computer-oriented technologies such as robotics, programming, and computer-aided design (CAD). The concepts of automation and artificial intelligence were introduced more than six decades ago and became pervasive in daily life through actively using them in various…
Descriptors: Artificial Intelligence, STEM Education, Teaching Methods, Elementary Secondary Education
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Jiang, Zhehan; Shi, Dexin; Distefano, Christine – Educational and Psychological Measurement, 2021
The costs of an objective structured clinical examination (OSCE) are of concern to health profession educators globally. As OSCEs are usually designed under generalizability theory (G-theory) framework, this article proposes a machine-learning-based approach to optimize the costs, while maintaining the minimum required generalizability…
Descriptors: Artificial Intelligence, Generalizability Theory, Objective Tests, Foreign Countries
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Bernardo, Allan B. I.; Cordel, Macario O., II; Lucas, Rochelle Irene G.; Teves, Jude Michael M.; Yap, Sashmir A.; Chua, Unisse C. – Education Sciences, 2021
Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors that contribute to low reading proficiency, specifically variables that can be the target of interventions to help students with poor…
Descriptors: Foreign Countries, English (Second Language), Reading Ability, Artificial Intelligence
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Nurshatayeva, Aizat; Page, Lindsay C.; White, Carol C.; Gehlbach, Hunter – Research in Higher Education, 2021
Our field experiment extends prior work on college matriculation by testing the extent to which an artificially intelligent (AI) chatbot's outreach and support to college students (N = 4442) reduced summer melt and improved first-year college enrollment at a 4-year university. Specifically, we investigate which students the intervention proves…
Descriptors: Artificial Intelligence, Computer Mediated Communication, College Freshmen, Enrollment
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Zhai, Xiaoming – Journal of Science Education and Technology, 2021
As cutting-edge technologies, such as machine learning (ML), are increasingly involved in science assessments, it is essential to conceptualize how assessment practices are innovated by technologies. To partially meet this need, this article focuses on ML-based science assessments and elaborates on how ML innovates assessment practices in science…
Descriptors: Artificial Intelligence, Educational Innovation, Science Education, Evaluation Methods
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Wu, Jiun-Yu; Yang, Christopher C. Y.; Liao, Chen-Hsuan; Nian, Mei-Wen – Educational Technology & Society, 2021
This methodological-theoretical synergy provides an integrative framework of learning analytics through the development of the human-and-machine symbiotic reinforcement learning. The framework intends to address the challenges of the current learning analytics model, including a lack of internal validity, generalizability, immediacy,…
Descriptors: Learning Analytics, Electronic Learning, Man Machine Systems, Artificial Intelligence
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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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Phuengrod, Siriluk; Wannapiroon, Panita; Nilsook, Prachyanun – Higher Education Studies, 2021
The objectives of the study were as follows: (1) to study of the component of the student relationship management system process with intelligent conversational agent platform, (2) to design the student relationship management system process with intelligent conversational agent platform, and (3) to evaluate the student relationship management…
Descriptors: Management Systems, College Students, Artificial Intelligence, Technology Uses in Education
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Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
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Oral, Sevket Benhur – Educational Philosophy and Theory, 2021
What it means to be human is inherently incomplete or in a state of permanent mutability. This is excellent for it opens the way to the questions of the inhuman, posthuman, and nonhuman to take center stage in the analysis of what it means to be a subject, which is a core question for education. The question of the inhuman at the core of the human…
Descriptors: Educational Philosophy, Psychiatry, Educational Theories, Environment
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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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Saadia, Drissi – International Journal of Web-Based Learning and Teaching Technologies, 2021
Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Artificial Intelligence
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Sense, Florian; Krusmark, Michael; Fiechter, Joshua; Collins, Michael G.; Sanderson, Lauren; Onia, Joshua; Jastrzembski, Tiffany – International Educational Data Mining Society, 2021
Cardiopulmonary resuscitation (CPR) is a foundational lifesaving skill for which medical personnel are expected to be proficient. Frequent refresher training is needed to prevent the involved skills from decaying. Regular low-dose, high-frequency training for staff at fixed intervals has proven successful at maintaining CPR competence but does not…
Descriptors: First Aid, Training, Artificial Intelligence, Prediction
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Dong, Yihuan; Marwan, Samiha; Shabrina, Preya; Price, Thomas; Barnes, Tiffany – International Educational Data Mining Society, 2021
Over the years, researchers have studied novice programming behaviors when doing assignments and projects to identify struggling students. Much of these efforts focused on using student programming and interaction features to predict student success at a course level. While these methods are effective at early detection of struggling students in…
Descriptors: Navigation (Information Systems), Academic Achievement, Learner Engagement, Programming
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