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Pavlik, Philip I., Jr.; Eglington, Luke G. – Grantee Submission, 2021
An intelligent textbook may be defined as an interaction layer between the text and the student, helping the student master the content in the text. The Mobile Fact and Concept Training System (MoFaCTS) is an adaptive instructional system for simple content that has been developed into an interaction layer to mediate textbook instruction and so is…
Descriptors: Textbooks, Intelligent Tutoring Systems, Electronic Learning, Instructional Design
Monique H. Harrison; Philip A. Hernandez – Grantee Submission, 2022
The interview experience is only one component of the process of interviewing -- software programmes can coordinate the pre-interview steps and begin a digitally-mediated relationship with participants long before the actual interview commences. This essay provides examples of how researchers can maximise their time and energy by digitally…
Descriptors: College Freshmen, Interviews, Computer Uses in Education, Computer Software
Luke G. Eglington; Philip I. Pavlik – Grantee Submission, 2020
Decades of research has shown that spacing practice trials over time can improve later memory, but there are few concrete recommendations concerning how to optimally space practice. We show that existing recommendations are inherently suboptimal due to their insensitivity to time costs and individual- and item-level differences. We introduce an…
Descriptors: Scheduling, Drills (Practice), Memory, Testing
Hartwig, Marissa K.; Rohrer, Doug; Dedrick, Robert F. – Grantee Submission, 2021
Many randomized controlled experiments in the classroom have found that mathematics learning is improved dramatically when practice problems of one kind are distributed across multiple assignments (spaced) and mixed with other kinds of problems (interleaved). In two studies, we investigated students' knowledge of spacing and interleaving. In Study…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Students, Drills (Practice)
Cynthia Miller; Michael J. Weiss – Grantee Submission, 2021
This paper presents new estimates of the effects of the City University of New York's (CUNY's) Accelerated Study in Associate Programs (ASAP) model, evaluated using a randomized controlled trial first in New York and later through a replication in Ohio. It presents longer-term effects of CUNY ASAP in New York, showing that the program's effect on…
Descriptors: Community Colleges, Program Effectiveness, Associate Degrees, Bachelors Degrees
Hume, Kara; Regan, Tara; Megronigle, Laura; Rhinehalt, Charlene – Grantee Submission, 2016
Ms. Bellamy was a beloved high school teacher serving students on the autism spectrum, as well as a highly visible staff member on her campus, where she was the varsity tennis coach. Her unexpected death affected everyone on campus and across the broader community, none more so than the eight students with autism spectrum disorder (ASD) with whom…
Descriptors: Autism, Pervasive Developmental Disorders, Grief, Coping
Rubin, Mollie; Patrick, Susan Kemper; Goldring, Ellen B. – Grantee Submission, 2017
This paper studies the early implementation of a school improvement effort in two high schools. We examine what explains variation in the teacher adoption of program practices. Our findings highlight the tension between encouraging immediate adoption of program practices and the longer term goals of schoolwide culture change. We find that highly…
Descriptors: Administrator Surveys, Adoption (Ideas), Alignment (Education), Beliefs
DeRocchis, Anthony M.; Michalenko, Ashley; Boucheron, Laura E.; Stochaj, Steven J. – Grantee Submission, 2018
This Innovative Practice Category Work In Progress paper presents an application of machine learning and data mining to student performance data in an undergraduate electrical engineering program. We are developing an analytical approach to enhance retention in the program especially among underrepresented groups. Our approach will provide…
Descriptors: Engineering Education, Data Analysis, Undergraduate Students, Artificial Intelligence
Corsello, Maryann; Sharma, Anu; Jerabek, Angela – Grantee Submission, 2015
Building Assets Reducing Risks (BARR) is a social emotional model that achieves academic outcomes through combining use of real-time student data with proven relationship-building strategies and intensive teacher collaboration to prevent course failure. BARR is a recipient of US Department of Education "Investing in Innovation (i3)"…
Descriptors: Teacher Collaboration, Student Improvement, Improvement Programs, Information Utilization