Open AccessThe Teaching Laboratory Data Management (TLDM) System
Author(s) -
Derek Yau Chung Choy,
Jackie Sibley,
D. C. W. Kannangara
Publication year - 2019
Publication title -
proceedings of the ... ceea conference
Language(s) - English
Resource type - Journals
ISSN - 2371-5243
DOI - 10.24908/pceea.vi0.13732
Subject(s) - grading (engineering) , raw data , computer science , scalability , mathematics education , class (philosophy) , raw score , computational science , database , programming language , engineering , mathematics , artificial intelligence , civil engineering
In the teaching laboratory, students generate large amounts of data and often struggle with the subsequent calculations for results. Grading the substantial amounts of results and calculations from a large class is very taxing for teachers, who are left with less time to interact with students. The TLDM system aims to resolve the primary challenge associated with laboratory experimental calculations: while the numerical operations for a given experiment are expected to be the same, the correct numerical results vary based on the unique raw data collected by each student. The system provides scalable instructional scaffolding to guide students through their own calculations. The system also works to generate custom marking keys unique to each student’s raw data to assist teachers in grading the numerical component of reports, leaving them with more time to provide feedback in other areas.