Evaluating mechanical engineering learning through digitalization

Evaluating machine learning models for engineering problems

The use of machine learning (ML), and in particular, artiicial neural networks (ANN), in engineering applications has increased dramatically over the last years. However, by and large, the development of such applications or their report lack proper evaluation. Deecient evaluation practice was observed in the general neural networks community and again in engineering applications through a surv...

Evaluating E-learning Platforms through Scorm Specifications

E-learning platforms can be evaluated using multiple criteria and methods. This situation requires the elaboration of frameworks and models to drive such evaluation. There are some frameworks addressed to systematize the evaluation of e-learning platforms. However, a general problem in these evaluation frameworks is the lack of “benchmarks” to provide a formal reference in the analysis and comp...

Evaluating Inquiry Learning Through Recognition-Based Tasks

The Rashi inquiry learning environment for human biology was evaluated using a new instrument for assessing gains in scientific inquiry skills. The instrument was designed to be sensitive to the small pre-post skill gains that are hypothesized for short learning interventions. It is also designed to be scored with less effort than the verbal protocol analysis methods most often used to asses hi...

E-Learning in Engineering through Videoconferencing

In addition to their ability to reach distant learners, interactive e-learning environments have the potential to make the teaching-learning process more effective. This paper highlights some of the e-learning implementation efforts at the Addis Ababa Institute of Technology (AAiT) in Ethiopia. This case study shows that limited resources do not deter a developing nation from exploiting the pow...

Minimization of Mechanical Aspects of Friction through Surface Engineering