Andrew Olney
Associated IES Content
FY2022
FY2022 Single-Session Peer Review Panel
FY2021
FY2021 Single-Session Peer Review Panel
FY2019 - FY2021
FY2019-FY2021 Statistics and Modeling Peer Review Panel
Grant
Using Adaptive Practice to Improve Recall and Understanding in Postsecondary Anatomy and Physiology
The project team developed and refined an online platform called the Mobile Fact and Concept Training System (MoFaCTS). This platform aimed to support community college students taking introductory courses in anatomy and physiology. Many students find these introductory courses challenging, and difficulties in understanding the material often hinder their progress in obtaining certificates or degrees. MoFaCTS sought to address these issues by enhancing students' understanding and retention o...
Federal funding program:
Award number:
R305A190448
FY2017 - FY2020
FY2017 - FY2020 Statistics and Modeling Peer Review Panel
FY2016 - FY2019
FY2016 - FY2019 Statistics and Modeling Peer Review Panel
Grant
Automating the Measurement and Assessment of Classroom Discourse
The purpose of this project is to automate the Classroom Language Assessment System (CLASS 4.24), a computer program developed at the University of Wisconsin Center for Education Research. CLASS 4.24 is used to code classroom interactions between a teacher and his or her students, and (a) has successfully identified key instructional variables promoting reading achievement, (b) has been used to successfully support professional development, and (c) is currently used for teacher education at ...
Federal funding program:
Award number:
R305A130030
Grant
Center for the Study of Adult Literacy (CSAL): Developing Instructional Approaches Suited to the Cognitive and Motivational Needs for Struggling Adults
The Center for the Study of Adult Literacy (CSAL) sought to improve our understanding of ways to advance the reading skills of struggling adult learners reading at the 3rd to 8th grade levels.
Federal funding program:
Award number:
R305C120001
Grant
Guru: A Computer Tutor that Models Expert Human Tutors
There is substantial empirical evidence that one-on-one human tutoring is an effective supplement to typical classroom instruction. Yet, human tutors cannot be provided to every child—as there are simply not enough tutors. This project will develop Guru, a computer-based intelligent tutoring system, to assist high school students with biology learning.
Federal funding program:
Award number:
R305A080594
View More