Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 6 |
Descriptor
Author
Akihito Kamata | 1 |
Azhar, Aqil Zainal | 1 |
Bicknell, Klinton | 1 |
Chang, Li-ping | 1 |
Choi, Youngduck | 1 |
Chou, Chun-Ting | 1 |
Doris Baker | 1 |
Eric Larson | 1 |
Gal, Kobi | 1 |
Gustafson, Erin | 1 |
Kim, Byungsoo | 1 |
More ▼ |
Publication Type
Reports - Research | 6 |
Speeches/Meeting Papers | 6 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Grade 2 | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Primary Education | 1 |
Audience
Location
South Korea | 2 |
Japan | 1 |
Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Test of English for… | 2 |
What Works Clearinghouse Rating
Portnoff, Lucy; Gustafson, Erin; Rollinson, Joseph; Bicknell, Klinton – International Educational Data Mining Society, 2021
Students using self-directed learning platforms, such as Duolingo, cannot be adequately assessed relying solely on responses to standard learning exercises due to a lack of control over learners' choices in how to utilize the platform: for example, how learners choose to sequence their studying and how much they choose to revisit old material. To…
Descriptors: Second Language Learning, Language Tests, Educational Technology, Electronic Learning
Chang, Li-ping; Chou, Chun-Ting – Research-publishing.net, 2022
In this study, we held a 12-hour workshop focused on training the Data-Driven Learning (DDL) approach for in-service Chinese teachers aiming to implement this pedagogy in Mandarin Chinese classrooms in the future. We analyzed data from a postworkshop questionnaire to understand how the individual-level traits of Chinese teachers (such as their…
Descriptors: Faculty Development, Language Teachers, Second Language Learning, Second Language Instruction
Azhar, Aqil Zainal; Segal, Avi; Gal, Kobi – International Educational Data Mining Society, 2022
This paper studies the use of Reinforcement Learning (RL) policies for optimizing the sequencing of online learning materials to students. Our approach provides an end to end pipeline for automatically deriving and evaluating robust representations of students' interactions and policies for content sequencing in online educational settings. We…
Descriptors: Reinforcement, Instructional Materials, Learning Analytics, Policy Analysis
Zhongdi Wu; Eric Larson; Makoto Sano; Doris Baker; Nathan Gage; Akihito Kamata – Grantee Submission, 2023
In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…
Descriptors: Prediction, Vocabulary Development, English (Second Language), Second Language Learning
Mirzaei, Maryam Sadat; Meshgi, Kourosh – Research-publishing.net, 2022
This article introduces self-regulation features with Partial and Synchronized Caption (PSC) for practicing listening skills and fostering self-paced and autonomous learning. PSC generates a partial caption by focusing on acoustically and lexically difficult words and synchronizes each word's appearance with the speaker's speech. The aim is to…
Descriptors: Metacognition, Listening Comprehension, English (Second Language), Second Language Learning
Kim, Byungsoo; Yu, Hangyeol; Shin, Dongmin; Choi, Youngduck – International Educational Data Mining Society, 2021
The needs for precisely estimating a student's academic performance have been emphasized with an increasing amount of attention paid to Intelligent Tutoring System (ITS). However, since labels for academic performance, such as test scores, are collected from outside of ITS, obtaining the labels is costly, leading to label-scarcity problem which…
Descriptors: Academic Achievement, Intelligent Tutoring Systems, Prediction, Scores