Publication Date
In 2025 | 0 |
Since 2024 | 3 |
Since 2021 (last 5 years) | 5 |
Since 2016 (last 10 years) | 7 |
Since 2006 (last 20 years) | 7 |
Descriptor
Source
Grantee Submission | 7 |
Author
Aaron R. Lyon | 1 |
Alex R. Dopp | 1 |
Amy Ogan | 1 |
Beigman Klebanov, Beata | 1 |
Bryce D. McLeod | 1 |
Burstein, Jill | 1 |
Danielle S. McNamara | 1 |
David L. Neumann | 1 |
David Lang | 1 |
Dragan Gasevic | 1 |
Dragos-Georgian Corlatescu | 1 |
More ▼ |
Publication Type
Journal Articles | 7 |
Reports - Research | 5 |
Information Analyses | 1 |
Opinion Papers | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
Esther Ulitzsch; Qiwei He; Steffi Pohl – Grantee Submission, 2024
This is an editorial for a special issue "Innovations in Exploring Sequential Process Data" in the journal Zeitschrift für Psychologie. Process data refer to log files generated by human-computer interactive items. They document the entire process, including keystrokes, mouse clicks as well as the associated time stamps, performed by a…
Descriptors: Educational Innovation, Man Machine Systems, Educational Technology, Computer Assisted Testing
Emma R. Dear; Bryce D. McLeod; Nicole M. Peterson; Kevin S. Sutherland; Michael D. Broda; Alex R. Dopp; Aaron R. Lyon – Grantee Submission, 2024
Introduction: Due to usability, feasibility, and acceptability concerns, observational treatment fidelity measures are often challenging to deploy in schools. Teacher self-report fidelity measures with specific design features might address some of these barriers. This case study outlines a community-engaged, iterative process to adapt the…
Descriptors: Measures (Individuals), Data Collection, Observation, Learning Analytics
Jionghao Lin; Shaveen Singh; Lela Sha; Wei Tan; David Lang; Dragan Gasevic; Guanliang Chen – Grantee Submission, 2022
To construct dialogue-based Intelligent Tutoring Systems (ITS) with sufficient pedagogical expertise, a trendy research method is to mine large-scale data collected by existing dialogue-based ITS or generated between human tutors and students to discover effective tutoring strategies. However, most of the existing research has mainly focused on…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Dialogs (Language), Man Machine Systems
René F. Kizilcec; Maximilian Chen; Kaja K. Jasinska; Michael Madaio; Amy Ogan – Grantee Submission, 2021
School closures due to teacher strikes or political unrest in low-resource contexts can adversely affect children's educational outcomes and career opportunities. Phone-based educational technologies could help bridge these gaps in formal schooling, but it is unclear whether or how children and their families will use such systems during periods…
Descriptors: Electronic Learning, Handheld Devices, Telecommunications, Educational Technology
Beigman Klebanov, Beata; Priniski, Stacy; Burstein, Jill; Gyawali, Binod; Harackiewicz, Judith; Thoman, Dustin – Grantee Submission, 2018
Collection and analysis of students' writing samples on a large scale is a part of the research agenda of the emerging writing analytics community that promises to deliver an unprecedented insight into characteristics of student writing. Yet with a large scale often comes variability of contexts in which the samples were produced--different…
Descriptors: Learning Analytics, Context Effect, Automation, Generalization
Michelle M. Neumann; Jason L. Anthony; Noé A. Erazo; David L. Neumann – Grantee Submission, 2019
The framework and tools used for classroom assessment can have significant impacts on teacher practices and student achievement. Getting assessment right is an important component in creating positive learning experiences and academic success. Recent government reports (e.g., United States, Australia) call for the development of systems that use…
Descriptors: Early Childhood Education, Futures (of Society), Educational Assessment, Evaluation Methods