How Good Am I? Crude Self-Assessment vs. Examination

With the new academic year structure encouraging more in-term assessment to replace end-of-year examinations one of the problems we face is assessing students and keeping track of individual student learning without overloading the students and staff with excessive assessment burdens.
In the School of Electronics, Electrical Engineering and Computer Science, we have constructed a system that allows students to self-assess their capability on a simple Yes/No/Don’t Know scale against fine grained learning outcomes for a module. As the term progresses students update their record as appropriately, including selecting a Learnt option to reflect improvements they have gained as part of their studies.
In the system each of the learning outcomes are linked to the relevant teaching session (lectures and labs) and to online resources that students can access at any time. Students can structure their own learning experience to their needs and preferences in order to attain the learning outcomes.
The system keeps a history of the student’s record, allowing the lecturer to observe how the students’ abilities progress over the term and to compare it to assessment results. The system also keeps of any of the resource links that student has clicked on and the related learning outcome.
The initial work is comparing the accuracy of the student self-assessments with their performance in the related questions in the traditional end-of-year examination.

The association between anticholinergic medication burden and health related outcomes in the ‘oldest old’: A systematic review of the literature

Background: Increased exposure to anticholinergic medication is problematic, particularly in those aged 80 years and older.

Objective: The aim of this systematic review was to identify tools used to quantify anticholinergic medication burden and determine the most appropriate tool for use in longitudinal research, conducted in those aged 80 years and older.

Methods: A systematic literature search was conducted across six electronic databases to identify existing tools. Data extraction was conducted independently by two researchers; studies describing the development of each tool were also retrieved and relevant data extracted. An assessment of quality was completed for all studies. Tools were assessed in terms of their measurement of the association between anticholinergic medication burden and a defined set of clinical outcomes, their development and their suitability for use in longitudinal research; the latter was evaluated on the basis of criteria defined as the key attributes of an ideal anticholinergic risk tool.

Results: In total, 807 papers were retrieved, 13 studies were eligible for inclusion and eight tools were identified. Included studies were classed as ‘very good’ or ‘good’ following the quality assessment analysis; one study was unclassified. Anticholinergic medication burden as measured in studies was associated with impaired cognitive and physical function, as well as an increased frequency of falls. The Drug Burden Index (DBI) exhibited most of the key attributes of an ideal anticholinergic risk tool.

Conclusion: This review identified the DBI as the most appropriate tool for use in longitudinal research focused on older people and their exposure to anticholinergic medication burden.