Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 5 |
| Since 2017 (last 10 years) | 6 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Evaluators | 6 |
| Learning Analytics | 6 |
| Comparative Analysis | 4 |
| Computer Software | 3 |
| Artificial Intelligence | 2 |
| Ethics | 2 |
| Evaluation Methods | 2 |
| Feedback (Response) | 2 |
| Intelligent Tutoring Systems | 2 |
| Intervention | 2 |
| Models | 2 |
| More ▼ | |
Source
| Journal of Educational Data… | 2 |
| IEEE Transactions on Learning… | 1 |
| International Educational… | 1 |
| Journal of Educational and… | 1 |
| Journal of New Approaches in… | 1 |
Author
| Cui, Jialin | 2 |
| Gehringer, Edward | 2 |
| Jia, Qinjin | 2 |
| Liu, Chengyuan | 2 |
| Rashid, Parvez | 2 |
| Xiao, Yunkai | 2 |
| Young, Mitchell | 2 |
| Bosch, Nigel | 1 |
| Cano García, Elena | 1 |
| Darvishi, Ali | 1 |
| Gasevic, Dragan | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 6 |
| Journal Articles | 5 |
| Speeches/Meeting Papers | 1 |
Education Level
| Elementary Education | 2 |
| Higher Education | 2 |
| Postsecondary Education | 2 |
| Early Childhood Education | 1 |
| Grade 1 | 1 |
| Grade 2 | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Intermediate Grades | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| More ▼ | |
Audience
Location
| Spain (Barcelona) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Darvishi, Ali; Khosravi, Hassan; Rahimi, Afshin; Sadiq, Shazia; Gasevic, Dragan – IEEE Transactions on Learning Technologies, 2023
Engaging students in creating learning resources has demonstrated pedagogical benefits. However, to effectively utilize a repository of student-generated content (SGC), a selection process is needed to separate high- from low-quality resources as some of the resources created by students can be ineffective, inappropriate, or incorrect. A common…
Descriptors: Student Developed Materials, Educational Assessment, Peer Evaluation, Evaluation Methods
Reagan Mozer; Luke Miratrix; Jackie Eunjung Relyea; James S. Kim – Journal of Educational and Behavioral Statistics, 2024
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Evaluation Methods, Writing Evaluation, Comparative Analysis
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – Journal of Educational Data Mining, 2022
Instant feedback plays a vital role in promoting academic achievement and student success. In practice, however, delivering timely feedback to students can be challenging for instructors for a variety of reasons (e.g., limited teaching resources). In many cases, feedback arrives too late for learners to act on the advice and reinforce their…
Descriptors: Student Projects, Learning Analytics, Intelligent Tutoring Systems, Feedback (Response)
Jia, Qinjin; Young, Mitchell; Xiao, Yunkai; Cui, Jialin; Liu, Chengyuan; Rashid, Parvez; Gehringer, Edward – International Educational Data Mining Society, 2022
Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…
Descriptors: Student Projects, Feedback (Response), Natural Language Processing, Guidelines
Lluch Molins, Laia; Cano García, Elena – Journal of New Approaches in Educational Research, 2023
One of the main generic competencies in Higher Education is "Learning to Learn". The key component of this competence is the capacity for self-regulated learning (SRL). For this competence to be developed, peer feedback seems useful because it fosters evaluative judgement. Following the principles of peer feedback processes, an online…
Descriptors: Learning Analytics, Learning Management Systems, Peer Evaluation, Higher Education
Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests

Peer reviewed
Direct link
