Study

Technique

Data

Sample size

Analysis

Potential Strength of Evidence

Cost of Planning

Cost of Execution

Cost of Analysis

Simon (i)

Suite of “predictive” tests

·        Find/create stuff

·        Create an instrument

·        Check against results in course (aka marks/grades)

numeric

ca. 20

statistical

low

VERY HIGH

low

low

Simon (ii)

Syntax/synthesis continuum

·        Collect assessments (from many courses)

·        Categorize

very qual.

10-20

build consensus on model

depends

med-low

VERY HIGH

VERY HIGH

Ken

Musical ability as a predictor of programming success

·        Aural testing (software)

·        Survey

·        Music grades

·        CS grades

numeric

20 then

100-200

statistical

good

HUGE

low

low

John

Peer Assessment

·        Marked coursework

·        Interviews

·        Surveys

·        Audit trails (software)

numeric

transcript

automatic

100x12

statistical

qual (survey & traces)

contextualised – but can be high

“not un-manageably high”

med

med

Quintin

Handset usage as predictor

·        Lab/tutorial attendance

·        Handset usage in lectures

·        Grades

numeric (naturally occurring)

longitudinal

170/250/330

statistical

good

low

low

low

Margaret

Tablet PCs and groupwork

·        Interviews @ 3 points (20)

·        Spyware

·        Postings to newsgroups

numeric

qual – transcripts, newsgroups

20/60

counts

statistical

transcripts & survey

low-med

high

high

high

Jodi

Classroom learning and Tablet PCs

·        CoP framework

·        Teacher logs

·        Attendance / surveys / drop out rates

·        Interviews

numeric

qual – theoretical stance

70/30

qual.

med

was huge: now OK

med

high

Denise

Epistemological Beliefs (EB) in capstone project course (collaborative)

·        EB survey (existing instrument)

·        Selected interviews

·        Grades etc.

numeric

transcripts

2 insts.

survey: 80/30

interview: 9x2

statistical

qual.

good

low (opportunistic)

med

med

Ray (i)

Reading and tracing code

Staff are subjects (and maybe some senior studes)

·        take test

·        think-aloud

·        doodles

transcripts

artefacts

3

qual

med

none

low – med

low – med

Ray (ii)

“Authentic” programming tasks

·        take test

·        think-aloud

·        doodles

transcripts

artefacts

& performance data

circa 100

(mi-mn)

statistical

qual.

good

med

high

high

Michael

Teaching explicit problem-solving

Theoretical framework (goal-plan analysis)

·        control group

·        pre-test, post-test

·        exit interviews

numeric (& teacher logs)

10-20

balanced groups

·        goal-plan analysis on student solutions

·        statistical

sceptical

high

HIGHER

med-low

Ilona

Variation of understanding software developers have of Business Information Systems Analysis & Design

Phenomenographic

·        interview transcripts

·        historical descriptions

25

phenomenographic

(interpretative, qual.)

phenomenographic strength

high

high

(Ilona says med)

very, very high