Time Efficient Assessment and Feedback Methods for Large Computer-Aided-Design Cohorts

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    Timely and individualized feedback on coursework is desirable from a student perspective as it facilitates formative development and encourages reflective learning practice. Faculty however are faced with a significant and potentially time consuming challenge when teaching larger cohorts if they are to provide feedback which is timely, individualized and detailed. Additionally, for subjects which assess non-traditional submissions, such as Computer-Aided-Design (CAD), the methods for assessment and feedback tend not to be so well developed or optimized. Issues can also arise over the consistency of the feedback provided. Evaluations of Computer-Assisted feedback in other disciplines (Denton et al, 2008), (Croft et al, 2001) have shown students prefer this method of feedback to traditional “red pen” marking and also that such methods can be more time efficient for faculty.
    Herein, approaches are described which make use of technology and additional software tools to speed up, simplify and automate assessment and the provision of feedback for large cohorts of first and second year engineering students studying modules where CAD files are submitted electronically. A range of automated methods are described and compared with more “manual” approaches. Specifically one method uses an application programming interface (API) to interrogate SolidWorks models and extract information into an Excel spreadsheet, which is then used to automatically send feedback emails. Another method describes the use of audio recordings made during model interrogation which reduces the amount of time while increasing the level of detail provided as feedback.
    Limitations found with these methods and problems encountered are discussed along with a quantified assessment of time saving efficiencies made.

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    Original languageEnglish
    Number of pages11
    Publication statusPublished - 09 Jun 2015
    Event11th International CDIO Conference - Chengdu University of Information Technology , Chengdu, China
    Duration: 08 Jun 201511 Jun 2015

    Conference

    Conference11th International CDIO Conference
    CountryChina
    CityChengdu
    Period08/06/201511/06/2015

      Research areas

    • CAD, assessment, feedback, computer-assisted, automated, audio,

    ID: 15941753