Digital assessment and learning platform for educational institutes
| bracu.type.group | Student Works | |
| dc.contributor.advisor | Shakil, Arif | |
| dc.contributor.author | Baidya, Asim | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.date.accessioned | 2025-02-13T04:00:44Z | |
| dc.date.available | 2025-02-13T04:00:44Z | |
| dc.date.copyright | 2024 | |
| dc.date.issued | 2024-10 | |
| dc.description | Cataloged from PDF version of thesis. | |
| dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024. | en_US |
| dc.description.abstract | This project is about an online learning platform that would facilitate teachers and students in gaining a comprehensive understanding of individual students’ aptitudes and deficiencies in a specific course or topic. It will provide valuable insights for analyzing students’ performance and progress. Teachers can efficiently create a wide range of question sets for quizzes in many subjects using this platform, using several provided question formats. In addition, teachers can observe students’ real-time activity, such as tracking the duration of each student’s work and gaining insight into individual performance on specific questions or tests. Students can monitor their progress on quiz and test through thorough performance reports. Additionally, users can assess their expertise in specific topics using tag-based analysis of questions, allowing them to concentrate on the areas that require improvement. In addition, they can create rich toggle based notes to enhance their preparation. Essentially, this proposed site would offer adaptable interfaces to serve the changing requirements of educators and learners, including both teachers and students, to establish a conducive environment for efficient learning and evaluation. | en_US |
| dc.description.degree | Bachelor of Science in Computer Science | |
| dc.description.statementofresponsibility | Asim Baidya | |
| dc.format.extent | 35 pages | |
| dc.identifier.other | ID 20301239 | |
| dc.identifier.uri | http://hdl.handle.net/10361/25394 | |
| dc.language.iso | en | en_US |
| dc.publisher | BRAC University | en_US |
| dc.rights | BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
| dc.subject | Real-time activity | en_US |
| dc.subject | Online learning platform | en_US |
| dc.subject | Schema validation | en_US |
| dc.subject | Toggle notes | en_US |
| dc.subject.lcsh | Real-time control--Computer programs. | |
| dc.subject.lcsh | Machine learning. | |
| dc.title | Digital assessment and learning platform for educational institutes | en_US |
| dc.type | Thesis | en_US |