Publication Date
| In 2026 | 0 |
| Since 2025 | 167 |
| Since 2022 (last 5 years) | 574 |
| Since 2017 (last 10 years) | 1121 |
| Since 2007 (last 20 years) | 1925 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| Taiwan | 50 |
| China | 46 |
| United Kingdom | 29 |
| Pennsylvania | 27 |
| Germany | 25 |
| Turkey | 24 |
| Canada | 22 |
| Massachusetts | 22 |
| Spain | 22 |
| India | 16 |
| United States | 16 |
| More ▼ | |
Laws, Policies, & Programs
| Every Student Succeeds Act… | 3 |
| Elementary and Secondary… | 2 |
| American Rescue Plan Act 2021 | 1 |
| No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 4 |
| Meets WWC Standards with or without Reservations | 6 |
| Does not meet standards | 2 |
Heffernan, Neil T.; Heffernan, Cristina Lindquist – International Journal of Artificial Intelligence in Education, 2014
The ASSISTments project is an ecosystem of a few hundred teachers, a platform, and researchers working together. Development professionals help train teachers and get teachers to participate in studies. The platform and these teachers help researchers (sometimes explicitly and sometimes implicitly) simply by using content the teacher selects. The…
Descriptors: Intelligent Tutoring Systems, Educational Research, Formative Evaluation, Artificial Intelligence
Snow, Erica L.; Jackson, G. Tanner; McNamara, Danielle S. – Grantee Submission, 2014
Self-regulative behaviors are dynamic and evolve as a function of time and context. However, dynamical fluctuations in behaviors are often difficult to measure and therefore may not be fully captured by traditional measures alone. Utilizing system log data and two novel statistical methodologies, this study examined emergent patterns of controlled…
Descriptors: Educational Technology, Computer Uses in Education, Educational Games, Intelligent Tutoring Systems
Crossley, Scott A.; McNamara, Danielle S. – Grantee Submission, 2014
This study explores correlations between human ratings of essay quality and component scores based on similar natural language processing indices and weighted through a principal component analysis. The results demonstrate that such component scores show small to large effects with human ratings and thus may be suitable to providing both summative…
Descriptors: Essays, Computer Assisted Testing, Writing Evaluation, Scores
Sao Pedro, Michael A.; Gobert, Janice D.; Baker, Ryan S. – Grantee Submission, 2014
We explore in this paper if automated scaffolding delivered via a pedagogical agent within a simulation can help students acquire data collection inquiry skills. Our initial analyses revealed that such scaffolding was effective for helping students who initially did not know two specific skills, designing controlled experiments and testing stated…
Descriptors: Automation, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Data Collection
Godwin-Jones, Robert – Language Learning & Technology, 2016
Over the last 20 years Robert Godwin-Jones has written 48 columns on "Emerging Technologies"; an additional six columns have been written by guest columnists. Several topics have been re-examined in regular intervals of approximately five years, namely digital literacy (Vol. 4, Num. 2; Vol. 10, Num. 2; Vol. 14, Num. 3; Vol. 19, Num. 3)…
Descriptors: Second Language Learning, Computer Assisted Instruction, Educational Technology, Affordances
Akyuz, Halil Ibrahim; Keser, Hafize – Cypriot Journal of Educational Sciences, 2015
The aim of this study is to investigate the effect of an educational agent, used in online task based learning media, and its form characteristics on problem solving ability perceptions of students. 2x2 factorial design is used in this study. The first study factor is the role of the educational agent and the second factor is form characteristics…
Descriptors: Problem Solving, Student Attitudes, Self Concept, Educational Technology
Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif – Educational Sciences: Theory and Practice, 2015
Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Knowledge Level
Merlo, Jarrad R.; Gruba, Paul A. – Australian Review of Applied Linguistics, 2015
Despite an increased emphasis on form-focused instruction (FFI), the use of the computer as a grammar tutor has remained largely unexamined for nearly two decades. With new technologies at hand, there is a need to take a fresh look at online grammar tutors and link designs more strongly to contemporary second language acquisition (SLA) principles…
Descriptors: Video Technology, Grammar, Second Language Learning, Second Language Instruction
Rau, Martina A.; Aleven, Vincent; Rummel, Nikol – Journal of Educational Psychology, 2015
Research shows that multiple external representations can significantly enhance students' learning. Most of this research has focused on learning with text and 1 additional graphical representation. However, real instructional materials often employ multiple "graphical" representations (MGRs) in addition to text. An important open…
Descriptors: Graphs, Instructional Materials, Instructional Effectiveness, Educational Experiments
Olsen, Jennifer K.; Rummel, Nikol; Aleven, Vincent – Grantee Submission, 2015
To learn from an error, students must correct the error by engaging in sense-making activities around the error. Past work has looked at how supporting collaboration around errors affects learning. This paper attempts to shed further light on the role that collaboration can play in the process of overcoming an error. We found that good…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Cooperative Learning
Beasley, Robert; Bryant, Nathan L.; Dodson, Phillip T.; Entwistle, Kevin C. – Journal of Educational Multimedia and Hypermedia, 2013
The purpose of this study was to investigate the effects of textisms (i.e., abbreviated spellings, acronyms, and other shorthand notations) on learning, study time, and instructional perceptions in an online artificial intelligence instructional module. The independent variable in this investigation was experimental condition. For the control…
Descriptors: Written Language, Learning, Study Habits, Student Attitudes
Matsuda, Noboru; Yarzebinski, Evelyn; Keiser, Victoria; Raizada, Rohan; Cohen, William W.; Stylianides, Gabriel J.; Koedinger, Kenneth R. – Journal of Educational Psychology, 2013
This article describes an advanced learning technology used to investigate hypotheses about learning by teaching. The proposed technology is an instance of a teachable agent, called SimStudent, that learns skills (e.g., for solving linear equations) from examples and from feedback on performance. SimStudent has been integrated into an online,…
Descriptors: Intelligent Tutoring Systems, Tutor Training, Computer Simulation, Artificial Intelligence
Gosha, Kinnis – ProQuest LLC, 2013
This dissertation presents the design, development and short-term evaluation of an embodied conversational agent designed to mentor human users. An embodied conversational agent (ECA) was created and programmed to mentor African American computer science majors on their decision to pursue graduate study in computing. Before constructing the ECA,…
Descriptors: STEM Education, African American Students, Mentors, Computer Science Education
Olsen, Jennifer K.; Belenky, Daniel M.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2013
Collaborative and individual instruction may support different types of knowledge. Optimal instruction for a subject domain may therefore need to combine these two modes of instruction. There has not been much research, however, on combining individual and collaborative learning with Intelligent Tutoring Systems (ITSs). A first step is to expand…
Descriptors: Cooperative Learning, Intelligent Tutoring Systems, Teaching Methods, Educational Technology
Ansari, Sid; Sykes, Edward R. – Technology, Instruction, Cognition and Learning, 2012
Enthymemes are a manner of presenting a deductive argument. A deductive argument consists of three elements: A major premise (e.g., All men are mortal.), a minor premise (e.g., Aristotle is a man.), and a conclusion (i.e., Therefore, Aristotle is mortal.). An enthymeme is a truncated deductive argument; one of the members is left unstated. From a…
Descriptors: Persuasive Discourse, Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education

Peer reviewed
Direct link
