The use of remote labs in undergraduate courses has been reported in literature several times since the mid 90's. Nevertheless, very few articles present results about the learning gains obtained by students using them, especially with a large number of students, thus suggesting a lack of data concerning their pedagogical effectiveness. This paper addresses such a gap by presenting some preliminary results concerning the use of a remote laboratory, known as VISIR, in a large undergraduate course on Applied Physics, with over 500 students enrolled.

Engineering labs are an essential part in engineering education, since they provide practical knowledge for students, illustrate concepts and principles, and improve technical skills. Remote labs allow devices, equipment, and instrumentations to be shared with other universities. In addition, they relax time and space constraints, and are capable of being adapted to the pace of each student; in the case, there was insufficient time in the laboratory. This paper describes an empirical study, which embeds two stages of assessment. In the first stage, we are concerned with finding out the level of flexibility when applying the engineering remote lab VISIR as a contemporary remote lab technology in the engineering faculty at Al-Quds University in Jerusalem in Palestine, and whether the engineering students will accept such technology to interact with in their future lab courses or not. In the second stage of the assessment study, a more in-depth comparative analysis will be carried out in order to have a categorization of VISIR in the landscape of the engineering labs, such as hands-on and simulations. The three lab approaches will be compared with each other by means of an experimental testing based on assessment criteria that are in accordance with the fundamental course objectives of engineering instructional labs: student's retention rate and satisfaction survey, as well as their performance.

The use of remote labs in undergraduate courses has been reported in literature several times since the mid 90's. Nevertheless, very few articles present results about the correspondent learning gains obtained by students, and in what conditions those systems can be more efficient, thus suggesting a lack of data concerning their pedagogical effectiveness. This paper addresses such a gap by presenting some initial findings concerning the use of a remote lab (VISIR), in a large undergraduate course on Physics, with over 550 students enrolled.

Infusion pumps have multiple uses according to their location. According to its use, there is a need to control specific parameters. The objective of this work is to implement and to assembly all the modules of an infusion pump, controlling all the functions. The control was implemented with the microcontroller board based Arduino and a webpage was developed to assist the user to record, retrieve and access information about the operating conditions.

The demand for a low cost, portable and accurate instrumentation system for structural monitoring is increasing as civil structures appear to be monitored for their lifetime. Face to conventional solutions, the issue can be handled as to develop an interrogation system based on a CCD spectrometer. A method pointing out to improve the instrumentation characteristics of the whole system was developed. The initial low wavelength resolution of the spectrometer (0.2 nm) is enhanced through a sub-pixel resolution algorithm. This algorithm, capable of a /spl ap/ 200 times improvement in the resolution, is presented in this work. Final characteristics are validated within the calibration process. It is made a comparison between the results obtained with the designed system and others reported, using similar models. As the measurement quality depends on the interrogation method and associated wavelength resolution, future developments are planned. They are described and analyzed in the final part of the paper.

The detection of glucose is crucial for diagnosing diseases such as diabetes and enables timely medical intervention. In this study, a disposable enzymatic screen-printed electrode electrochemical biosensor enhanced with machine learning (ML) for quantifying glucose in serum is presented. The platinum working surface was modified by chemical adsorption with biographene (BGr) and glucose oxidase, and the enzyme was encapsulated in polydopamine (PDP) by electropolymerisation. Electrochemical characterisation and morphological analysis (scanning and transmission electron microscopy) confirmed the modifications. Calibration curves in Cormay serum (CS) and selectivity tests with chronoamperometry were used to evaluate the biosensor’s performance. Non-linear ML regression algorithms for modelling glucose concentration and calibration parameters were tested to find the best-fit model for accurate predictions. The biosensor with BGr and enzyme encapsulation showed excellent performance with a linear range of 0.75–40 mM, a correlation of 0.988, and a detection limit of 0.078 mM. Of the algorithms tested, the decision tree accurately predicted calibration parameters and achieved a coefficient of determination above 0.9 for most metrics. Multilayer perceptron models effectively predicted glucose concentration with a coefficient of determination of 0.828, demonstrating the synergy of biosensor technology and ML for reliable glucose detection.