The E-Design Assessment Tool: an evidence-informed approach towards a consistent terminology for quantifying online distance learning activities

被引:0
作者
Walmsley-Smith, Helen [1 ]
Machin, Lynn [2 ]
Walton, Geoff [3 ]
机构
[1] Staffordshire Univ, Acad Dev Unit, Stoke On Trent, Staffs, England
[2] Staffordshire Univ, Sch Life Sci & Educ, Stoke On Trent, Staffs, England
[3] MMU, Dept Languages Informat & Commun, Manchester, Lancs, England
关键词
learning activity; technology enhanced learning; terminology; online learning; learning design; FORMATIVE ASSESSMENT; STUDENT; FEEDBACK; IMPACT; PERFORMANCE; EDUCATION; DIALOGUE;
D O I
10.25304/rlt.v27.2106
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Online distance learning (ODL) continues to expand rapidly, despite persistent concerns that student experience is poorer and retention lower than for face-to-face courses. Various factors affect ODL quality, but the impact of recommended learning activities, such as student interaction activities and those involving feedback, have proven difficult to assess because of challenges in definition and measurement. Although learning design frameworks and learning analytics have been used to evaluate learning designs, their use is hampered by this lack of an agreed terminology. This study addresses these challenges by initially identifying key ODL activities that are associated with higher quality learning designs. The learning activity terminology was tested using independent raters, who categorised the learning activities in four ODL courses as 'interaction', 'feedback' or 'other', with inter-rater reliability near or above recommended levels. Whilst challenges remain for consistent categorisation, the analysis suggests that increased clarity in the learning activity will aid categorisation. As a result of this analysis, the E-Design Assessment Tool (eDAT) has been developed to incorporate this key terminology and enable improved quantification of learning designs. This can be used with learning analytics, particularly retention and attainment data, thus providing an effective feedback loop on the learning design.
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页数:14
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