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Baker, Ryan S. – International Journal of Artificial Intelligence in Education, 2016
The initial vision for intelligent tutoring systems involved powerful, multi-faceted systems that would leverage rich models of students and pedagogies to create complex learning interactions. But the intelligent tutoring systems used at scale today are much simpler. In this article, I present hypotheses on the factors underlying this development,…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Hypothesis Testing, Data Collection
Yang, Diyi; Kraut, Robert E.; Rose, Carolyn P. – Journal of Educational Data Mining, 2016
Although thousands of students enroll in Massive Open Online Courses (MOOCs) for learning and self-improvement, many get confused, harming learning and increasing dropout rates. In this paper, we quantify these effects in two large MOOCs. We first describe how we automatically estimate students' confusion by looking at their clicking behavior on…
Descriptors: Online Courses, Dropouts, Dropout Rate, Correlation
Al-Omari, Mohammad; Carter, Jenny; Chiclana, Francisco – International Journal of Information and Learning Technology, 2016
Purpose: The purpose of this paper is to identify a framework to support adaptivity in e-learning environments. The framework reflects a novel hybrid approach incorporating the concept of the event-condition-action (ECA) model and intelligent agents. Moreover, a system prototype is developed reflecting the hybrid approach to supporting adaptivity…
Descriptors: Electronic Learning, Integrated Learning Systems, Online Courses, Cognitive Style
Slater, Stefan; Baker, Ryan; Ocumpaugh, Jaclyn; Inventado, Paul; Scupelli, Peter; Heffernan, Neil – Grantee Submission, 2016
The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models…
Descriptors: Semantics, Mathematical Applications, Teacher Developed Materials, Correlation
Slater, Stefan; Baker, Ryan; Ocumpaugh, Jaclyn; Inventado, Paul; Scupelli, Peter; Heffernan, Neil – International Educational Data Mining Society, 2016
The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models…
Descriptors: Semantics, Mathematical Applications, Teacher Developed Materials, Correlation
MacLellan, Christopher J.; Harpstead, Erik; Patel, Rony; Koedinger, Kenneth R. – International Educational Data Mining Society, 2016
While Educational Data Mining research has traditionally emphasized the practical aspects of learner modeling, such as predictive modeling, estimating students knowledge, and informing adaptive instruction, in the current study, we argue that Educational Data Mining can also be used to test and improve our fundamental theories of human learning.…
Descriptors: Educational Research, Data Collection, Learning Theories, Recall (Psychology)
Scott A. Crossley; Danielle S. McNamara – Grantee Submission, 2016
The purpose of this handbook is to provide actionable information to educators, administrators, and researchers about current, available research-based educational technologies that provide adaptive (personalized) instruction to students on literacy, including reading comprehension and writing. This handbook is comprised of chapters by leading…
Descriptors: Educational Technology, Literacy, Reading Comprehension, Writing Skills
Mohamed, Hafidi; Lamia, Mahnane – International Journal of Web-Based Learning and Teaching Technologies, 2015
Learners usually meet cognitive overload and disorientation problems when using e-learning system. At present, most of the studies in e-learning either concentrate on the technological aspect or focus on adapting learner's interests or browsing behaviors, while, learner's skill level and learners' success rate is usually neglected. In this paper,…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Online Courses, Difficulty Level
Hung, Wei-Chen; Smith, Thomas J.; Smith, M. Cecil – British Journal of Educational Technology, 2015
Technology provides the means to create useful learning and practice environments for learners. Well-designed cognitive tutor systems, for example, can provide appropriate learning environments that feature cognitive supports (ie, scaffolding) for students to increase their procedural knowledge. The purpose of this study was to conduct a series of…
Descriptors: Intelligent Tutoring Systems, Usability, Research Methodology, Man Machine Systems
Mohammed, Phaedra; Mohan, Permanand – International Journal of Artificial Intelligence in Education, 2015
Cultural awareness, when applied to Intelligent Learning Environments (ILEs), contours the overall appearance, behaviour, and content used in these systems through the use of culturally-relevant student data and information. In most cases, these adaptations are system-initiated with little to no consideration given to student-initiated control…
Descriptors: Intelligent Tutoring Systems, Cultural Awareness, Subcultures, Student Diversity
Elmadani, Myse; Mitrovic, Antonija; Weerasinghe, Amali; Neshatian, Kourosh – Research and Practice in Technology Enhanced Learning, 2015
Eye-movement tracking and student-system interaction logs provide different types of information which can be used as a potential source of real-time adaptation in learning environments. By analysing student interactions with an intelligent tutoring system (ITS), we can identify sub-optimal behaviour such as not paying attention to important…
Descriptors: Intelligent Tutoring Systems, Attention, Eye Movements, Man Machine Systems
Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken – International Educational Data Mining Society, 2015
Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…
Descriptors: Bayesian Statistics, Models, Skill Development, Intelligent Tutoring Systems
Vera, Gil; Daniel, Víctor; Awad, Gabriel – International Association for Development of the Information Society, 2015
The agents responsible of execution of physical infrastructure projects of the Government of Antioquia must know the theories and concepts related to the socio-environmental management of physical infrastructure projects. In the absence of tools and the little information on the subject, it is necessary to build a m-learning tool to facilitate to…
Descriptors: Intelligent Tutoring Systems, Electronic Learning, Artificial Intelligence, State of the Art Reviews
Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Journal of Educational Psychology, 2017
Prior research shows that multiple representations can enhance learning, provided that students make connections among them. We hypothesized that support for connection making is most effective in enhancing learning of domain knowledge if it helps students both in making sense of these connections and in becoming perceptually fluent in making…
Descriptors: Elementary School Students, Grade 4, Grade 5, Learning
Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2017
Prior research shows that multiple representations can enhance learning, provided that students make connections among them. We hypothesized that support for connection making is most effective in enhancing learning of domain knowledge if it helps students both in making sense of these connections and in becoming perceptually fluent in making…
Descriptors: Elementary School Students, Grade 4, Grade 5, Comprehension

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