Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Institution
Articles 1 - 3 of 3
Full-Text Articles in Physical Sciences and Mathematics
The Impact Of Project-Based Learning On Students In High School Chemistry In Rural Maine, Brianna Degone
The Impact Of Project-Based Learning On Students In High School Chemistry In Rural Maine, Brianna Degone
Electronic Theses and Dissertations
Project-based learning (PBL) is an instructional strategy that is promoted throughout education for its use of active learning and ability to connect to real-world applications. Studies have been conducted on PBL ranging from early elementary grades through graduate courses, however little research considers the effectiveness of PBL at the secondary science level. This thesis considers the use of PBL and describes the implementation of a PBL unit in a rural Maine 11th grade chemistry classroom. The thesis aims to better understand the impact PBL has on students’ content learning and additional skills acquired through the PBL learning process. Along with …
Participatory Learning: Measuring Learning And Educational Technology Acceptance, Erick Sanchez Suasnabar
Participatory Learning: Measuring Learning And Educational Technology Acceptance, Erick Sanchez Suasnabar
Dissertations
Participatory Learning (PL) integrates several learning approaches, engaging students throughout the entire assignment process for both online and face-to-face courses. Beyond simply providing a solution, students also craft a problem (problem-based learning), grade each other (peer assessment and feedback), evaluate themselves (self-assessment), and can view others’ work (learning by example). This dissertation research explores the resulting learning effects. Contributions to both educational and Information Systems research include extending an early PL model and experiments that applied the PL approach to examinations, by validating and testing new constructs based on user activity and critical thinking. In addition, the study explores a …
Reducing The Manual Annotation Effort For Handwriting Recognition Using Active Transfer Learning, Eric Burdett
Reducing The Manual Annotation Effort For Handwriting Recognition Using Active Transfer Learning, Eric Burdett
Theses and Dissertations
Handwriting recognition systems have achieved remarkable performance over the past several years with the advent of deep neural networks. For high-quality recognition, these models require large amounts of labeled training data, which can be difficult to obtain. Various methods to reduce this effort have been proposed in the realms of active and transfer learning, but not in combination. We propose a framework for fitting new handwriting recognition models that joins active and transfer learning into a unified framework. Empirical results show the superiority of our method compared to traditional active learning, transfer learning, or standard supervised training schemes.