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Rylands, Leanne Jill; Shearman, Don – International Journal of Mathematical Education in Science and Technology, 2018
This paper considers the effects of both free optional mathematics learning support and engagement on the mathematics performance in a foundation mathematics subject of a cohort of engineering students entering university with poor mathematical skills. New engineering students were directed to either a foundation or standard mathematics subject…
Descriptors: Engineering Education, Technology Education, Mathematics Instruction, College Freshmen
Shi, Genghu; Lippert, Anne M.; Shubeck, Keith; Fang, Ying; Chen, Su; Pavlik, Philip, Jr.; Greenberg, Daphne; Graesser, Arthur C. – Grantee Submission, 2018
Reading comprehension is often assessed by having students read passages and administering a test that assesses their understanding of the text. Shorter assessments may fail to give a full picture of comprehension ability while more thorough ones can be time consuming and costly. This study used data from a conversational intelligent tutoring…
Descriptors: Reading Comprehension, Intelligent Tutoring Systems, Adults, Accuracy
L2 Learner Cognitive Psychological Factors about Artificial Intelligence Writing Corrective Feedback
Wu, LiQin; Wu, Yong; Zhang, XiangYang – English Language Teaching, 2021
Although the study of artificial intelligence (AI) used in language teaching and learning is increasingly prevailing, research on language two (L2) learner cognitive psychological factors about AI writing corrective feedback (WCF) is scarce. This paper explores L2 learner cognitive psychology of pigai, an AI evaluating system for English writings…
Descriptors: Artificial Intelligence, Error Correction, Feedback (Response), Second Language Instruction
Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems
Matthews, Sarah D.; Proctor, Michael D. – Educational Technology & Society, 2021
The COVID-19 pandemic hit the United States in 2020 resulting in a public health caseload surge precipitating deployment of military and federal medical units, states issuing emergency orders to engage retired medical professionals, and novice or inadequately trained healthcare workers thrust into service to meet the pressing need. The novelty and…
Descriptors: Public Health, Health Personnel, Volunteers, Training Methods
Shen, Shitian; Chi, Min – International Educational Data Mining Society, 2016
We explored a series of feature selection methods for model-based Reinforcement Learning (RL). More specifically, we explored four common correlation metrics and based on them, we proposed the fifth one named Weighed Information Gain (WIG). While much existing correlation-based feature selection methods mostly explored high correlation by default,…
Descriptors: Correlation, Selection, Methods, Intelligent Tutoring Systems
Kaser, Tanja; Klingler, Severin; Schwing, Alexander G.; Gross, Markus – IEEE Transactions on Learning Technologies, 2017
Intelligent tutoring systems adapt the curriculum to the needs of the individual student. Therefore, an accurate representation and prediction of student knowledge is essential. Bayesian Knowledge Tracing (BKT) is a popular approach for student modeling. The structure of BKT models, however, makes it impossible to represent the hierarchy and…
Descriptors: Bayesian Statistics, Models, Intelligent Tutoring Systems, Networks
Steiner, Christina M.; Albert, Dietrich – Cogent Education, 2017
Ontologies play an important role as knowledge domain representations in technology-enhanced learning and instruction. Represented in form of concept maps they are commonly used as teaching and learning material and have the potential to enhance positive educational outcomes. To ensure the effective use of an ontology representing a knowledge…
Descriptors: Concept Mapping, Content Validity, Intelligent Tutoring Systems, Elementary School Science
Howard, Cynthia; Jordan, Pamela; Di Eugenio, Barbara; Katz, Sandra – International Journal of Artificial Intelligence in Education, 2017
Despite a growing need for educational tools that support students at the earliest phases of undergraduate Computer Science (CS) curricula, relatively few such tools exist--the majority being Intelligent Tutoring Systems. Since peer interactions more readily give rise to challenges and negotiations, another way in which students can become more…
Descriptors: Computer Science Education, Undergraduate Study, Intelligent Tutoring Systems, Artificial Intelligence
Aravind, Vasudeva Rao; Croyle, Kevin – Malaysian Online Journal of Educational Technology, 2017
Students learn scientific concepts and mathematical calculations relating to scientific principles by repetition and reinforcement. Teachers and instructors cannot practically spend the long time required during tutorials to patiently teach students the calculations. Usually, teachers assign homework to provide practice to students, hoping that…
Descriptors: Physics, College Science, Computation, Scientific Concepts
Schroeder, Noah L.; Craig, Scotty D. – Journal of Educational Computing Research, 2017
This study examined the influence of three levels of learner control on learners' perceptions when learning with a pedagogical agent. Pedagogical agents have shown promise for improving learning and connections with learning materials within video-based instruction, and research has shown that agent design choices can influence how agents are…
Descriptors: Learner Controlled Instruction, Student Attitudes, Intelligent Tutoring Systems, Pacing
Wetzel, Jon; VanLehn, Kurt; Butler, Dillan; Chaudhari, Pradeep; Desai, Avaneesh; Feng, Jingxian; Grover, Sachin; Joiner, Reid; Kong-Sivert, Mackenzie; Patade, Vallabh; Samala, Ritesh; Tiwari, Megha; van de Sande, Brett – Interactive Learning Environments, 2017
This paper describes Dragoon, a simple intelligent tutoring system which teaches the construction of models of dynamic systems. Modelling is one of seven practices dictated in two new sets of educational standards in the U.S.A., and Dragoon is one of the first systems for teaching model construction for dynamic systems. Dragoon can be classified…
Descriptors: Intelligent Tutoring Systems, Models, Computer Interfaces, Comparative Analysis
Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2017
By combining the benefits from Intelligent Tutoring Systems (ITSs) and video games, educational games offer the unique potential to capture learners' interest, compel them to persist with targeted tasks, and can result in improved mastery of educational content and skills. These benefits are described within the context of educational game…
Descriptors: Educational Games, Intelligent Tutoring Systems, Educational Benefits, Learning Motivation
Karumbaiah, Shamya; Lizarralde, Rafael; Allessio, Danielle; Woolf, Beverly; Arroyo, Ivon; Wixon, Naomi – International Educational Data Mining Society, 2017
We present results of a randomized controlled study that compared different types of affective messages delivered by pedagogical agents. We used animated characters that were empathic and emphasized the malleability of intelligence and the importance of effort. Results showed significant correlations between students who received more…
Descriptors: Affective Behavior, Empathy, Correlation, Mathematics Skills
Mi, Fei; Faltings, Boi – International Educational Data Mining Society, 2017
Massive open online courses (MOOCs) have demonstrated growing popularity and rapid development in recent years. Discussion forums have become crucial components for students and instructors to widely exchange ideas and propagate knowledge. It is important to recommend helpful information from forums to students for the benefit of the learning…
Descriptors: Online Courses, Sequential Approach, Discussion Groups, Student Interests

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