Quantitative Skills Education
Teaching Performance Evaluation
Teaching Design Effects
Quantitative Research in Learning and Teaching
Quantitative Research Pedagogy
Digital Learning Analytics
Our eight complementary approaches to quantitative higher education research
Institutional Metric Evaluation
Access and Inequality
Student Experience Measurement
How metrics shape incentives & HE decision-making
Quantitative research that evaluates how institutional metrics are constructed, interpreted and used in higher education management:
- Analyses how metrics shape incentives and behaviour
- Examines contractual, esteem, and organisational consequences
- Studies metric-driven decision-making and risk
- Evaluates unintended effects of quantified governance
Teaching-Only Contracts & Uncertainty
What edtech reveals & conceals about learning
Quantitative research on how digital tools shape learning behaviour and evidence use.
- Analysis of online engagement, access and usage patterns
- Examination of discovery, search behaviour and surface learning
- Evaluation of digital materials in supporting quantitative learning
- Critical assessment of what digital traces do and do not capture
Surface Learning
Quantifying who benefits, who is excluded, and why
Quantitative analysis of unequal access, opportunity, and experience in higher education:
- Measurement of participation, progression and experience gaps
- Analysis of institutional, contractual and structural determinants
- Examination of heterogeneous outcomes across student groups
- Identification of persistent and cumulative disadvantage
Graduate Views on Access
Understanding how quantitative capability is built
Research on how quantitative skills are taught, learned, and developed in higher education.
- Identification and measurement of quantitative skills gaps
- Evaluation of alternative approaches to methods and econometrics teaching
- Use of structured replication as a learning and assessment strategy
- Analysis of progression and confidence in quantitative reasoning
Solving the Quants Skills Gap
Estimating how teaching design shapes learning
Estimating how changes in teaching design and delivery affect learning and engagement:
- Quantitative comparison of alternative teaching formats
- Estimation of intervention and design effects on learning outcomes
- Attention to delivery mode, timing, and institutional context
- Analysis of heterogeneous and uneven responses to design change
Fipping the Classroom
Pedagogical Inertia
Turning lived experience into evidence
Research that develops and tests ways of measuring how students rate higher education:
- Operationalisation of latent constructs such as satisfaction, value, and engagement
- Use of composite indicators and alternative aggregation strategies
- Assessment of measurement uncertainty, bias, and group comparability
- Interpretation of what experience measures can and cannot validly represent
Student Dissatisfaction in Higher Education
It's just not worth a damn!
Evaluating teaching without mistaking metrics for quality
Using quantitative data to evaluate teaching quality, performance, and institutional outcomes:
- Tests whether teaching evaluations measure what they claim to measure
- Examines bias, noise, and construct validity in teaching metrics
- Compares evaluation outcomes across teaching contexts
- Assesses reliability and interpretability of performance measures
Performance Evaluation in Teaching
Adapting quant. methods for education research
Research focused on developing, adapting, and critically applying quantitative methods to the specific challenges of higher education research.
- Adapting econometric and statistical methods to education data
- Addressing measurement complexity, non-linearity, and uncertainty
- Developing approaches suited to institutional and survey datasets
- Critically assessing methodological assumptions in education contexts
Solving the Quants Skills Gap
Researchers
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Transcript
Quantitative Skills Education
Teaching Performance Evaluation
Teaching Design Effects
Quantitative Research in Learning and Teaching
Quantitative Research Pedagogy
Digital Learning Analytics
Our eight complementary approaches to quantitative higher education research
Institutional Metric Evaluation
Access and Inequality
Student Experience Measurement
How metrics shape incentives & HE decision-making
Quantitative research that evaluates how institutional metrics are constructed, interpreted and used in higher education management:
Teaching-Only Contracts & Uncertainty
What edtech reveals & conceals about learning
Quantitative research on how digital tools shape learning behaviour and evidence use.
Surface Learning
Quantifying who benefits, who is excluded, and why
Quantitative analysis of unequal access, opportunity, and experience in higher education:
Graduate Views on Access
Understanding how quantitative capability is built
Research on how quantitative skills are taught, learned, and developed in higher education.
Solving the Quants Skills Gap
Estimating how teaching design shapes learning
Estimating how changes in teaching design and delivery affect learning and engagement:
Fipping the Classroom
Pedagogical Inertia
Turning lived experience into evidence
Research that develops and tests ways of measuring how students rate higher education:
Student Dissatisfaction in Higher Education
It's just not worth a damn!
Evaluating teaching without mistaking metrics for quality
Using quantitative data to evaluate teaching quality, performance, and institutional outcomes:
Performance Evaluation in Teaching
Adapting quant. methods for education research
Research focused on developing, adapting, and critically applying quantitative methods to the specific challenges of higher education research.
Solving the Quants Skills Gap