Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 9 |
Descriptor
| Cognitive Processes | 10 |
| Intelligent Tutoring Systems | 10 |
| Pretests Posttests | 10 |
| Models | 5 |
| Difficulty Level | 4 |
| Educational Technology | 4 |
| Computer Software | 3 |
| Electronic Learning | 3 |
| Prediction | 3 |
| Scores | 3 |
| Teaching Methods | 3 |
| More ▼ | |
Source
Author
| Acuff, Samuel | 1 |
| Baker, Ryan S. J. d. | 1 |
| Bensebaa, Tahar | 1 |
| Butler, Heather | 1 |
| Cai, Zhiqiang | 1 |
| Calders, Toon | 1 |
| Chi, Min | 1 |
| Conati, Cristina | 1 |
| Corbett, Albert T. | 1 |
| Dolan, Robert P. | 1 |
| Forsyth, Carol | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 9 |
| Journal Articles | 8 |
| Collected Works - Proceedings | 1 |
| Speeches/Meeting Papers | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 5 |
| High Schools | 2 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Grade 10 | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
| Gates MacGinitie Reading Tests | 1 |
| Motivated Strategies for… | 1 |
What Works Clearinghouse Rating
Sullins, Jeremiah; Acuff, Samuel; Neely, Daniel; Hu, Xiangen – Journal of Educational Multimedia and Hypermedia, 2018
Is it possible to teach a learner to become a better question asker in as little as 25 minutes? Given that many teachers and school districts do not have the resources to provide individualized question training to students, the current study sought to explore the benefits of using animated pedagogical agents to teach question-asking skills in a…
Descriptors: Prior Learning, Questioning Techniques, Training, Intelligent Tutoring Systems
Mao, Ye; Lin, Chen; Chi, Min – Journal of Educational Data Mining, 2018
Bayesian Knowledge Tracing (BKT) is a commonly used approach for student modeling, and Long Short Term Memory (LSTM) is a versatile model that can be applied to a wide range of tasks, such as language translation. In this work, we directly compared three models: BKT, its variant Intervention-BKT (IBKT), and LSTM, on two types of student modeling…
Descriptors: Prediction, Pretests Posttests, Bayesian Statistics, Short Term Memory
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
Liu, Ran; Koedinger, Kenneth R. – Journal of Educational Data Mining, 2017
As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Hafidi, Mohamed; Bensebaa, Tahar – International Journal of Information and Communication Technology Education, 2014
Several adaptive and intelligent tutoring systems (AITS) have been developed with different variables. These variables were the cognitive traits, cognitive styles, and learning behavior. However, these systems neglect the importance of the learner's multiple intelligences, the learner's skill level and the learner's feedback when implementing…
Descriptors: Intelligent Tutoring Systems, Models, Foreign Countries, Pretests Posttests
Forsyth, Carol; Pavlik, Philip, Jr.; Graesser, Arthur C.; Cai, Zhiqiang; Germany, Mae-lynn; Millis, Keith; Dolan, Robert P.; Butler, Heather; Halpern, Diane – International Educational Data Mining Society, 2012
"OperationARIES!" is an Intelligent Tutoring System that teaches scientific inquiry skills in a game-like atmosphere. Students complete three different training modules, each with natural language conversations, in order to acquire deep-level knowledge of 21 core concepts of research methodology (e.g., correlation does not mean…
Descriptors: Learning, Cognitive Processes, Logical Thinking, Scientific Methodology
Stott, Angela; Hattingh, Annemarie – Educational Technology & Society, 2015
The paper presents a case study of the use of conceptual tutoring software to promote deep learning of the scientific concept of density among 50 final year pre-service student teachers in a natural sciences course in a South African university. Individually-paced electronic tutoring is potentially an effective way of meeting the students' varied…
Descriptors: Intelligent Tutoring Systems, Computer Software, Case Studies, Scientific Concepts
Baker, Ryan S. J. d.; Corbett, Albert T.; Gowda, Sujith M. – Journal of Educational Psychology, 2013
Recently, there has been growing emphasis on supporting robust learning within intelligent tutoring systems, assessed by measures such as transfer to related skills, preparation for future learning, and longer term retention. It has been shown that different pedagogical strategies promote robust learning to different degrees. However, the student…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Genetics, Science Instruction
May, Patricia – International Journal for Technology in Mathematics Education, 2004
Most research in the area of Computer Algebra Systems (CAS) has been designed to compare the effectiveness of instructional technology to traditional lecture-based formats. While results are promising, research also indicates evidence of the steep learning curve imposed by the technology. Yet no studies have been conducted to investigate this…
Descriptors: Prediction, Educational Technology, Algebra, Cognitive Processes
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring

Peer reviewed
Direct link
