A comparative analysis of the skilled use of automated feedback tools through the lens of teacher feedback literacy

被引:11
作者
Shum, Simon Buckingham [1 ]
Lim, Lisa-Angelique [1 ]
Boud, David [1 ,2 ,3 ]
Bearman, Margaret [2 ]
Dawson, Phillip [2 ]
机构
[1] Univ Technol Sydney, Connected Intelligence Ctr, Broadway,POB 123, Ultimo, NSW 2007, Australia
[2] Deakin Univ, Melbourne, Australia
[3] Middlesex Univ, London, England
关键词
Feedback literacy; Automated feedback; Learning analytics; Artificial Intelligence; Digital literacy; LEARNING SUPPORT; ANALYTICS; REFLECTION;
D O I
10.1186/s41239-023-00410-9
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Effective learning depends on effective feedback, which in turn requires a set of skills, dispositions and practices on the part of both students and teachers which have been termed feedback literacy. A previously published teacher feedback literacy competency framework has identified what is needed by teachers to implement feedback well. While this framework refers in broad terms to the potential uses of educational technologies, it does not examine in detail the new possibilities of automated feedback (AF) tools, especially those that are open by offering varying degrees of transparency and control to teachers. Using analytics and artificial intelligence, open AF tools permit automated processing and feedback with a speed, precision and scale that exceeds that of humans. This raises important questions about how human and machine feedback can be combined optimally and what is now required of teachers to use such tools skillfully. The paper addresses two research questions: Which teacher feedback competencies are necessary for the skilled use of open AF tools? and What does the skilled use of open AF tools add to our conceptions of teacher feedback competencies? We conduct an analysis of published evidence concerning teachers' use of open AF tools through the lens of teacher feedback literacy, which produces summary matrices revealing relative strengths and weaknesses in the literature, and the relevance of the feedback literacy framework. We conclude firstly, that when used effectively, open AF tools exercise a range of teacher feedback competencies. The paper thus offers a detailed account of the nature of teachers' feedback literacy practices within this context. Secondly, this analysis reveals gaps in the literature, signalling opportunities for future work. Thirdly, we propose several examples of automated feedback literacy, that is, distinctive teacher competencies linked to the skilled use of open AF tools.
引用
收藏
页数:42
相关论文
共 80 条
[1]  
[Anonymous], 1989, The Human Use of Human Beings: Cybernetics and Society
[2]  
Arthars N., 2019, Utilizing Learning Analytics to Support Study Success, P223, DOI [10.1007/978-3-319-64792-0_13, DOI 10.1007/978-3-319-64792-0_13]
[3]  
Arthars N., 2020, Adoption of Data Analytics in Higher Education Learning and Teaching, P201, DOI DOI 10.1007/978-3-030-47392-1_11
[4]  
Askew S., 2000, FEEDBACK LEARNING, P1, DOI DOI 10.4324/9780203017678
[5]  
ASSISTments, 2023, RES IMP EFF
[6]  
Baker R., 2009, Journal of Educational Data Mining, V1, P3
[7]  
Bearman M., 2020, The impact of artificial intelligence on learning, teaching, and education, P49, DOI [10.1007/978-3-030-41956-1_5, DOI 10.1007/978-3-030-41956-1_5]
[8]   How a centralised approach to learning design influences students: a mixed methods study [J].
Bearman, Margaret ;
Lambert, Sarah ;
O'Donnell, Marcus .
HIGHER EDUCATION RESEARCH & DEVELOPMENT, 2021, 40 (04) :692-705
[9]  
Blumenstein M., 2019, Learning analytics in the classroom: Translating learning analytics research for teachers, P185
[10]   Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems [J].
Bodily, Robert ;
Verbert, Katrien .
IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 2017, 10 (04) :405-418