Supporting Assessment in E-learning: Collecting Students’Work and Generating Analysis Data for Assessment and Feedback

ID: 34933 Type: Brief Paper
  1. Yang Yang, Eva Heinrich, and Elizabeth Kemp, Massey University, New Zealand

Tuesday, October 18 11:15 AM-12:15 PM Location: Maui

No presider for this session.

Abstract: The use of web 2.0 tools empowers teachersand online instructors to emphasize social aspect of learning and promote in-depth discussions even when students are at a distance. Assessing students’ collaboration and achievement through the use of e-learning tools tends to be difficult and the amount of work involves in collecting information for grading can be overwhelming. This study provides an approach to addressing the assessment of e-learning, by automating the collection of students’ work and by generating input into the assignment module of the Learning Management Systems.It is intended to reduce the time and effort that teachers spend on collecting relevant data for assessing e-learning. It also generates artefacts, composed of student learning contributions, participation and interaction data, that are returned to students and underpin the marking feedback. A research tool implementing this new approach for the assessment of online discussions has been implemented for the Moodle.

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