subject predicate object context
45207 Creator 988e42a4ad32f24a3f8311a89515bcfc
45207 Creator ext-72031ed2e3897b5592e6597a6fa487bf
45207 Creator ext-487ded3660b3936e00d658625ef24a47
45207 Date 2016-01
45207 Is Part Of repository
45207 abstract The chapter introduces the current state of the art of technology for E-Assessment for Learning. A large amount of literature is reviewed with respect to formative assessment, feedback and E-Assessment for Learning. Three case studies introduced single innovative approaches of assessment for learning. These include details of OpenEssayist which is a real-time learning analytics tool using natural language processing techniques to give students feedback on draft essays. A mobile notification system together with automatic item generation techniques for e-assessment systems are also discussed.
45207 authorList authors
45207 editorList editors
45207 status peerReviewed
45207 uri http://data.open.ac.uk/oro/document/396269
45207 uri http://data.open.ac.uk/oro/document/396540
45207 uri http://data.open.ac.uk/oro/document/396541
45207 uri http://data.open.ac.uk/oro/document/396542
45207 uri http://data.open.ac.uk/oro/document/396543
45207 uri http://data.open.ac.uk/oro/document/398950
45207 type Article
45207 type BookSection
45207 label Ras, Eric; Whitelock, Denise and Kalz, Marco (2016). The Promise and Potential of E-Assessment for Learning. In: Reimann, Peter; Bull, Susan; Kickmeier-Rust, Michael D.; Vatrapu, Ravi and Wasson, Barbara eds. Measuring and Visualising Learning in the Information-Rich Classroom. London: Routledge, pp. 21–40.
45207 label Ras, Eric; Whitelock, Denise and Kalz, Marco (2016). The Promise and Potential of E-Assessment for Learning. In: Reimann, Peter; Bull, Susan; Kickmeier-Rust, Michael D.; Vatrapu, Ravi and Wasson, Barbara eds. Measuring and Visualising Learning in the Information-Rich Classroom. London: Routledge, pp. 21–40.
45207 Publisher ext-a75de4357e5533e572a9bc120d4e6615
45207 Title The Promise and Potential of E-Assessment for Learning
45207 in dataset oro