Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Computer Assisted Instruction | 3 |
| Individual Differences | 3 |
| Intelligent Tutoring Systems | 3 |
| Error Patterns | 2 |
| Instructional Design | 2 |
| Learning Processes | 2 |
| Mastery Learning | 2 |
| Models | 2 |
| Simulation | 2 |
| College Students | 1 |
| Communication (Thought… | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkEglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Download full textEglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Ayedoun, Emmanuel; Hayashi, Yuki; Seta, Kazuhisa – IEEE Transactions on Learning Technologies, 2020
This article proposes a computer-based approach to effectively enhance second language learners' willingness to communicate in the target language. To do so, we implemented a conversational agent embedding a dialogue management model based on two conversational strategies (i.e., communication strategies and affective backchannels), serving as…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Second Language Learning, Second Language Instruction
