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Maidment, Tristan; Yu, Mingzhi; Lobczowski, Nikki; Kovashka, Adriana; Walker, Erin; Litman, Diane; Nokes-Malach, Timothy – International Educational Data Mining Society, 2022
Working collaboratively in groups can positively impact performance and student engagement. Intelligent social agents can provide a source of personalized support for students, and their benefits likely extend to collaborative settings, but it is difficult to determine how these agents should interact with students. Reinforcement learning (RL)…
Descriptors: Robotics, Cooperative Learning, Artificial Intelligence, Training
Abdallah Obeidat, Fadel Ali; Saleh, Salmiza – Journal of Curriculum and Teaching, 2022
This study aims to investigate the relationship between levels of fluid intelligence and higher-order thinking skills according to Bloom's three levels classification (analysis, evaluation, creation) among sixth grade students in Jordan in the subject of work and energy as one of the science book topics for the first semester of the academic year…
Descriptors: Foreign Countries, Grade 6, Middle School Students, Thinking Skills
Jones, Rebekah; Zane, Emily R.; Grossman, Ruth B. – Autism & Developmental Language Impairments, 2022
Background & Aims: Discourse markers, such as "well" or "like," serve a variety of functions to support conversational reciprocity: filling pauses, aiding word-finding, and modulating turn-taking by holding the conversational floor. Previous research shows that autistic individuals use discourse markers less frequently than…
Descriptors: Autism Spectrum Disorders, Language Usage, Incidence, Preadolescents
Walczak-Kozlowska, Tamara; Chrzan-Detkos, Magdalena; Harciarek, Michal – Early Education and Development, 2022
Research Findings: For early prevention of academic difficulties, it is crucial to identify developmental trajectories of preterm children with focus on the efficiency of basic cognitive processes. Thus, the aim of this study was to characterize school readiness of children born before 32 weeks of gestation and to investigate its potential…
Descriptors: Foreign Countries, Children, Premature Infants, Attention
Shin, Jinnie; Gierl, Mark J. – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…
Descriptors: Computer Assisted Testing, Scoring, Essays, Automation
Chalioti, Evangelia – Journal of Economic Education, 2022
The author of this article describes the content of her course titled "Economics of Artificial Intelligence and Innovation." The course is offered by the Department of Economics of Yale University at a senior undergraduate level. The author also teaches this course at the MBA program of the Yale School of Management in another format.…
Descriptors: Course Content, Economics, Artificial Intelligence, Innovation
Coro, Gianpaolo; Bardelli, Serena; Cuttano, Armando; Fossati, Nicoletta – Education and Information Technologies, 2022
Training through simulation in neonatology relies on sophisticated simulation devices that give realistic feedback to trainees during simulated scenarios. It aims at training highly specialised medical teams in established operational skills, timely clinical manoeuvres, and successful synergy with other professionals. For effective teaching, it is…
Descriptors: Training, Neonates, Medical Education, Computer Simulation
Yaneva, Victoria; Clauser, Brian E.; Morales, Amy; Paniagua, Miguel – Advances in Health Sciences Education, 2022
Understanding the response process used by test takers when responding to multiple-choice questions (MCQs) is particularly important in evaluating the validity of score interpretations. Previous authors have recommended eye-tracking technology as a useful approach for collecting data on the processes test taker's use to respond to test questions.…
Descriptors: Eye Movements, Artificial Intelligence, Scores, Test Interpretation
Martinez, Kimberly M.; Holden, LaTasha R.; Hart, Sara A.; Taylor, Jeanette – Developmental Psychology, 2022
Noncognitive factors have gained attention in recent years as potential intervention targets for academic achievement improvement in students. Two notable facets, intelligence mindset and grit, have been of particular interest. Both have been shown to consistently improve educational outcomes, although little work has focused on reading ability.…
Descriptors: Academic Achievement, Academic Persistence, Reading Ability, Reading Comprehension
Despujol, Ignacio; Castañeda, Linda; Marín, Victoria I.; Turró, Carlos – International Journal of Educational Technology in Higher Education, 2022
By the end of 2020, over 16,300 Massive Open Online Courses (MOOCs) from 950 universities worldwide had enrolled over 180 million students. Interest in MOOCs has been matched by significant research on the topic, including a considerable number of reviews. This study uses Machine Learning techniques and human expert supervision to generate a…
Descriptors: MOOCs, Artificial Intelligence, Literature Reviews, Teaching Methods
Thomas, Christopher L.; Heath, Joshua A. – Psychology in the Schools, 2022
Numerous empirical investigations have explored the contribution of emotional intelligence to academic success. Although these studies have contributed to the literature, most have adopted variable-centric analytic approaches that may mask our understanding of the nuanced association between emotional intelligence, noncognitive factors, and…
Descriptors: College Students, Emotional Intelligence, Academic Achievement, Student Motivation
Hamim, Touria; Benabbou, Faouzia; Sael, Nawal – International Journal of Web-Based Learning and Teaching Technologies, 2022
The student profile has become an important component of education systems. Many systems objectives, as e-recommendation, e-orientation, e-recruitment and dropout prediction are essentially based on the profile for decision support. Machine learning plays an important role in this context and several studies have been carried out either for…
Descriptors: Mathematics, Artificial Intelligence, Man Machine Systems, Student Characteristics
Schuurmans, Isabel K.; Luik, Annemarie I.; Maat, Donna A.; Hillegers, Manon H. J.; Ikram, M. Arfan; Cecil, Charlotte A. M. – Child Development, 2022
Early life stress (ELS) is associated with lower IQ and academic achievement; however, it remains unclear whether it additionally explains their discrepancy. In 2,401 children (54% girls, 30.2% migration background) from the population-based study Generation R Study, latent factors of prenatal and postnatal (age 0-10) ELS were estimated, and…
Descriptors: Early Experience, Anxiety, Intelligence Quotient, Academic Achievement
Sebbaq, Hanane; El Faddouli, Nour-eddine – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this study is, First, to leverage the limitation of annotated data and to identify the cognitive level of learning objectives efficiently, this study adopts transfer learning by using word2vec and a bidirectional gated recurrent units (GRU) that can fully take into account the context and improves the classification of the…
Descriptors: MOOCs, Classification, Electronic Learning, Educational Objectives
Chen, Victor; Bland, Timothy Beryl – Theory and Research in Education, 2022
We argue that the compelling critical perspective put forward by Michael Sandel in "The Tyranny of Merit" could benefit from the account of power that "Cut Loose" advanced in its earlier typology. First, the ways that principles of meritocracy serve the interests of particular social groups become clearer when we consider more…
Descriptors: Moral Values, Governance, Intelligence, Ability

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