Using Focus to Personalise Learning and Feedback in Software Engineering Education

被引:1
|
作者
Modi, Bansri Amish [1 ]
Cain, Andrew [1 ]
Wood-Bradley, Guy [1 ]
Renzella, Jake [2 ]
机构
[1] Deakin Univ, Melbourne, Vic, Australia
[2] Univ New South Wales, Sydney, NSW, Australia
关键词
Assessment; Rubrics; Formative Feedback;
D O I
10.1109/ICSE-SEET58685.2023.00033
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Learning can be greatly enhanced by effective feedback. Traditional assessment approaches in higher education often result in feedback being used to justify marks awarded, which is often disregarded once the assessment is complete. In this paper, we explore the idea of incorporating a focus mechanism to connect feedback between assessment tasks and units, discuss how this can be applied to enhance software engineering education, and present results from several staff focus groups exploring the idea. The focus groups discussed the model, its application within software engineering units, and its limitations, with staff helping co-create the enhancements to the model through discussing experiences/sharing opinions/providing insights on assessment within their units. Results indicate that staff believe that the changes will benefit their teaching and highlighted several opportunities for this initiative to encourage students to have a more holistic view of their studies. The main challenges identified were staff workload and complexity for students which must be addressed in implementing this idea.
引用
收藏
页码:296 / 301
页数:6
相关论文
共 50 条
  • [1] A flipped classroom to personalise learning for engineering students
    Thi Thuy Hang Bui
    Kaur, Amrita
    Tran Van Hung
    INTERNATIONAL JOURNAL OF LEARNING TECHNOLOGY, 2022, 17 (02) : 97 - 114
  • [2] ON USING LEARNING ANALYTICS TO PERSONALISE LEARNING
    Kurilovas, Eugenijus
    Krikun, Irina
    Melesko, Jaroslav
    ICERI2016: 9TH INTERNATIONAL CONFERENCE OF EDUCATION, RESEARCH AND INNOVATION, 2016, : 6987 - 6996
  • [3] Influence of Learning Analytics in Software Engineering Education
    Pratheesh, N.
    Devi, T.
    2013 IEEE INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN COMPUTING, COMMUNICATION AND NANOTECHNOLOGY (ICE-CCN'13), 2013, : 712 - 716
  • [4] NECESSITY OF LEARNING ANALYTICS IN SOFTWARE ENGINEERING EDUCATION
    Pratheesh, N.
    Devi, T.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2015, 10 (03) : 269 - 281
  • [5] Active and Inductive Learning in Software Engineering Education
    Sedelmaier, Yvonne
    Landes, Dieter
    2015 IEEE/ACM 37TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, VOL 2, 2015, : 418 - 427
  • [6] Learning Environment Interoperability in Software Engineering Education
    Bigler, Dimitri
    Manz, Julian
    Lee, Kevin
    Fischer, David
    Hagel, Georg
    2024 36TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING EDUCATION AND TRAINING, CSEE & T 2024, 2024,
  • [7] ENGINEERING SOFTWARE FOCUS
    Hibbert, Lee
    PROFESSIONAL ENGINEERING, 2009, 22 (08) : 35 - +
  • [8] Leveraging AI and Machine Learning to Personalise Music Education
    Wang, Puying
    EUROPEAN JOURNAL OF EDUCATION, 2025, 60 (01)
  • [9] Using rationale for software engineering education
    Dutoit, AH
    Wolf, T
    Paech, B
    Borner, L
    Rückert, R
    18TH CONFERENCE ON SOFTWARE ENGINEERING EDUCATION & TRAINING, PROCEEDINGS, 2005, : 129 - 136
  • [10] On Using Learning Analytics to Personalise Learning in Virtual Learning Environments
    Mamcenko, Jelena
    Kurilovas, Eugenijus
    PROCEEDINGS OF THE 16TH EUROPEAN CONFERENCE ON E-LEARNING (ECEL 2017), 2017, : 353 - 361