Abstract
In engineering practice, estimation plays a crucial role, leading to the development of the Modelling Based Estimation Learning Environment (MEttLE). MEttLE is a technology-enhanced open-ended learning platform designed to assist undergraduate learners in tackling intricate engineering estimation problems. It incorporates various scaffolding features such as simulators, hints, an information center, expert guidance, question prompts, and problem mapping to aid learners throughout the modeling and estimation process. However, the complexity inherent in ill-structured problems, such as estimation, combined with the openness of the OELE’s design, presents numerous challenges for novice undergraduate learners interacting with the TEL environment. This study delves into understanding the specific challenges encountered by learners when solving estimation problems within the MEttLE environment. Through analysis of students’ screen recordings and stimulated recall interviews, we uncovered various challenges associated with the estimation process and the OELE design. Estimation-related challenges revolve around fundamental tasks such as hypothesis formation, discerning relationships between critical parameters, and contextualizing models, all integral to successful problem-solving in estimation tasks. Similarly, challenges related to the OELE include interpreting data provided by its features, understanding the central focus of the simulator, and promoting reflective thinking throughout the problem-solving process. Collaboration is a common practice in engineering problem-solving and is valued in addressing ill-structured problems. It enables learners to find effective problem solutions while working in OELEs. Given the challenges learners face in mastering estimation complexities and the demands posed by the OELE, investigating the role of collaboration in estimation problem-solving within OELEs is crucial.
Presenters
Ulfa Haneef KhwajaPhd Research Scholar, Educational Technology, Indian Institute of Technology Bombay, Maharashtra, India
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Estimation learning Open-ended learning environments Ill structured problem solving
