NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,141 to 1,155 of 2,203 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Fossati, Davide; Di Eugenio, Barbara; Ohlsson, Stellan; Brown, Christopher; Chen, Lin – Technology, Instruction, Cognition and Learning, 2015
Based on our empirical studies of effective human tutoring, we developed an Intelligent Tutoring System, iList, that helps students learn linked lists, a challenging topic in Computer Science education. The iList system can provide several forms of feedback to students. Feedback is automatically generated thanks to a Procedural Knowledge Model…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Feedback (Response), Information Retrieval
Peer reviewed Peer reviewed
Direct linkDirect link
Snow, Erica L.; Allen, Laura K.; Jackson, G. Tanner; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2015
Using students' process data from the game-based Intelligent Tutoring System (ITS) iSTART-ME, the current study examines students' propensity to use system currency to unlock game-based features, (i.e., referred to here as "spendency"). This study examines how spendency relates to students' interaction preferences, in-system performance,…
Descriptors: Intelligent Tutoring Systems, Educational Games, High School Students, Preferences
Peer reviewed Peer reviewed
Direct linkDirect link
Nye, Benjamin D. – International Journal of Artificial Intelligence in Education, 2015
As information and communication technology access expands in the developing world, learning technologies have the opportunity to play a growing role to enhance and supplement strained educational systems. Intelligent tutoring systems (ITS) offer strong learning gains, but are a class of technology traditionally designed for most-developed…
Descriptors: Intelligent Tutoring Systems, Developing Nations, Educational Trends, Educational Technology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Husby, Olaf; Koreman, Jacques; Martínez-Paricio, Violeta; Abrahamsen, Jardar E.; Albertsen, Egil; Hedayatfar, Keivan; Bech, Øyvind – Research-publishing.net, 2015
The pronunciation of a second or foreign language is often very challenging for L2 learners. It is difficult to address this topic in the classroom, because learners with different native languages (L1s) can have very different challenges. We have therefore developed a Computer-Assisted Listening and Speaking Tutor (CALST), which selectively…
Descriptors: Second Language Instruction, Pronunciation, Computer Assisted Instruction, Intelligent Tutoring Systems
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Rod D. Roscoe; Erica L. Snow; Laura K. Allen; Danielle S. McNamara – Grantee Submission, 2015
The Writing Pal is an intelligent tutoring system designed to support writing proficiency and strategy acquisition for adolescent writers. A fundamental aspect of the instructional model is automated formative feedback that provides concrete information and strategies oriented toward student improvement. In this paper, the authors explore…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Revision (Written Composition)
Peer reviewed Peer reviewed
Direct linkDirect link
Rod D. Roscoe; Erica L. Snow; Laura K. Allen; Danielle S. McNamara – Technology, Instruction, Cognition and Learning, 2015
The Writing Pal is an intelligent tutoring system designed to support writing proficiency and strategy acquisition for adolescent writers. A fundamental aspect of the instructional model is automated formative feedback that provides concrete information and strategies oriented toward student improvement. In this paper, the authors explore…
Descriptors: Intelligent Tutoring Systems, Automation, Feedback (Response), Revision (Written Composition)
Peer reviewed Peer reviewed
Direct linkDirect link
Paiva, R. C.; Ferreira, M. S.; Frade, M. M. – Journal of Computer Assisted Learning, 2017
The growth of the higher education population and different school paths to access an academic degree has increased the heterogeneity of students inside the classroom. Consequently, the effectiveness of traditional teaching methods has reduced. This paper describes the design, development, implementation and evaluation of a tutoring system (TS) to…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Mathematical Concepts, Mastery Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hartmann, Christian; Olsen, Jennifer K.; Brand, Charleen; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2017
Social interdependence is a key concept in CSCL research. However, investigations of students' positive and negative interdependence during collaborative activities have often relied on self-report, rather than dialogue analysis. Bringing together politeness and social interdependence theory, we assessed "dialogue indicators" of positive…
Descriptors: Elementary School Students, Computer Uses in Education, Cooperative Learning, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hauk, Shandy; Matlen, Bryan; Thomas, Larry – Grantee Submission, 2017
A variety of computerized interactive learning platforms exist. Most include instructional supports in the form of problem sets. Feedback to users ranges from a single word like "Correct!" to offers of hints and partially- to fully-worked examples. Behind-the-scenes design of systems varies as well--from static dictionaries of problems…
Descriptors: Community Colleges, Algebra, Web Based Instruction, Randomized Controlled Trials
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fang, Ying; Nye, Benjamin; Pavlik, Philip; Xu, Yonghong Jade; Graesser, Arthur; Hu, Xiangen – International Educational Data Mining Society, 2017
Student persistence in online learning environments has typically been studied at the macro-level (e.g., completion of an online course, number of academic terms completed, etc.). The current examines student persistence in an adaptive learning environment, ALEKS (Assessment and LEarning in Knowledge Spaces). Specifically, the study explores the…
Descriptors: Learning Processes, Academic Persistence, Correlation, Academic Achievement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kamsa, Imane; Elouahbi, Rachid; El Khoukhi, Fatima – Turkish Online Journal of Distance Education, 2018
Learners' concentration is an essential factor for learning and acquisition. The duration of concentration varies from one individual to another. Some learners have a long duration of concentration; whereas, others have a short one. Leaving the learner in front of a screen for a random duration is a strategy that does not optimize online learning.…
Descriptors: Study Habits, Attention, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
DeFalco, Jeanine A.; Rowe, Jonathan P.; Paquette, Luc; Georgoulas-Sherry, Vasiliki; Brawner, Keith; Mott, Bradford W.; Baker, Ryan S.; Lester, James C. – International Journal of Artificial Intelligence in Education, 2018
Tutoring systems that are sensitive to affect show considerable promise for enhancing student learning experiences. Creating successful affective responses requires considerable effort both to detect student affect and to design appropriate responses to affect. Recent work has suggested that affect detection is more effective when both physical…
Descriptors: Psychological Patterns, Stress Variables, Educational Games, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
Peer reviewed Peer reviewed
Direct linkDirect link
Weston-Sementelli, Jennifer L.; Allen, Laura K.; McNamara, Danielle S. – International Journal of Artificial Intelligence in Education, 2018
Source-based essays are evaluated both on the quality of the writing and the content appropriate interpretation and use of source material. Hence, composing a high-quality source-based essay (an essay written based on source material) relies on skills related to both reading (the sources) and writing (the essay) skills. As such, source-based…
Descriptors: Reading Comprehension, Writing Strategies, Writing Instruction, Essays
Pages: 1  |  ...  |  73  |  74  |  75  |  76  |  77  |  78  |  79  |  80  |  81  |  ...  |  147