HEA-ICS Teaching, Learning and Assessment of Databases

TLAD 10

 

PROVISIONAL PROGRAMME

 

Monday 28th June 2010

Dudhope Castle,

University of Abertay Dundee

 

09.30     Registration

 

10.00 – 11.30  Full Paper Session

10.00   LeReSpo: Using Game Software in Database Education on all Levels. Carsten Kleiner (University of Applied Sciences and Arts Hannover)

10.30   Uses of Peer Assessment in Database Teaching and Learning. James Paterson (Glasgow Caledonian University), John Wilson (University of Strathclyde), Petra Leimich (University of Abertay Dundee)

11.00   SQL Patterns - A New Approach for Teaching SQL. Huda Al Shuaily, Karen Renaud (University of Glasgow)

 

11.30   Coffee

 

12.00   Invited talk

A Database Disciplinary Commons. Richard Cooper et al

 

13.00   Lunch

 

13.40 – 15.00  Poster Session (with coffee available toward the end)

Introducing a Forensic Flavour to Teaching Databases at L5. Jackie Campbell, Sanela Lazarevski (Leeds Metropolitan University)

Exploring the XML-Relational Interface using Problem Based Learning. Peter Lake (Sheffield Hallam University)

Handling XML Data using Oracle 11g. Mary Garvey (University of Wolverhampton)

Teaching and Learning Databases using a Group Centred Interactive Problem Solving Approach. Raman Adaikkalavan (Indiana University South Bend)

Errors in Entity-Relationship-Diagrams: Classification and Statistical Data. Martin Herzberg (Martin-Luther-University, Halle-Wittenberg)

A Completing Application for a Database Coursework Assignment. Richard Cooper (University of Glasgow)

 

15.00 – 16.20  Short Paper Session

15.00   A Relational Algebra Tutor. David Nelson, Jonathan Scott (University of Sunderland)

 

15.20   Making the Most of an e-Learning Platform to Promote Student Centred Learning: A Case Study of a Second Year Undergraduate Database Design and Management Module. Liz Sokolowski (Thames Valley University)

15.40   An Entity-Relationship Diagram (ERD) Marking Scheme. Paul Henderson (Sheffield Hallam University)

16.00   Teaching Undergraduate Students Data Mining: Ideas, Experience and Challenges. Hongbo Du (University of Buckingham)

 

16.20 - 16.40   Discussion and Close