Research

The research library.

The state of the field — memory science, assessment, AI tutoring, and the findings that didn’t survive replication. Every article is citation-first and peer-review-anchored; Future Proof™ appears only where the evidence earns it.

20 long reads · 150+ cited papers · reviewed quarterly

Cluster 01

Memory & practice

Memory

The Forgetting Curve, Replicated

Ebbinghaus’s 1885 curve, its 2015 replication, and the most expensive ignored fact in training.

Read →
Practice

The Testing Effect

Why quizzing beats re-reading — the highest-yield intervention in the learning literature.

Read →
Scheduling

The Spacing Effect at Industrial Scale

Distributed-practice meta-analyses and what optimal gaps mean for a workforce.

Read →
Difficulty

Desirable Difficulties

Bjork’s programme: why easy training feels good and fails, and struggle predicts retention.

Read →
Ordering

Interleaving

Mixing related-but-distinct topics feels worse and works better. The evidence.

Read →
Metacognition

Calibration: Knowing What You Don’t Know

Confidence-accuracy gaps in adults, and why calibration is trainable.

Read →
Cluster 02

Assessment science

Adaptive testing

How 24 Questions Can Map a Mind

Item Response Theory and computerized adaptive testing, from ETS to today.

Read →
Taxonomy

Bloom’s Taxonomy, Seventy Years On

The 1956 original, the 2001 revision, and why most LMS assessment never leaves recall.

Read →
Selection

What Actually Predicts Job Performance

A century of selection meta-analysis, including the 2022 re-ranking.

Read →
Interviews

Structured Interviews and BARS

Why anchored scoring beats gut feel in validity and legal defensibility.

Read →
Personality

The Big Five at Work

What the meta-analyses show — and the honest limits vendors gloss over.

Read →
Hiring

Skills-Based Hiring: Evidence vs. Hype

Degree inflation research and what happens when employers drop the proxy.

Read →
Cluster 03

AI & tutoring

Tutoring

Bloom’s 2-Sigma Problem, Forty Years Later

The 1984 benchmark and how close intelligent tutoring systems actually got.

Read →
LLMs

LLM Tutors: The First Real RCTs

Harvard, Nigeria, Turkey — where AI tutoring genuinely moves outcomes and where it backfires.

Read →
Item generation

Can AI Write Exam-Quality Questions?

Automatic item generation research, and why human review remains a hard gate.

Read →
Pedagogy

The Socratic Constraint

Worked examples, guidance fading, and when withholding the answer drives learning.

Read →
Analytics

Early-Warning Systems That Actually Warn Early

From Purdue Course Signals to modern at-risk prediction — achievements and failure modes.

Read →
Cluster 04

The uncomfortable evidence

Myth-busting

Learning Styles Is Dead. Here’s What Survived.

The meshing-hypothesis takedown and the replication reckoning in learning research.

Read →
Transfer

Why Compliance Training Doesn’t Transfer

The completion-vs-behavior gap in the transfer-of-training meta-analyses.

Read →
Engagement

Gamification: What the Meta-Analyses Say

Streaks and leaderboards work under specific conditions — and backfire under others.

Read →
Deep dives

The science pillars

Pillar 01

Memory Science & Spaced Repetition

Why scheduling review before forgetting lifts long-term retention 30–40%.

Read the deep dive →
Pillar 02

Adaptive Diagnostic & Item Response Theory

How 24 adaptive questions pinpoint a learner as precisely as a 100-item test.

Read the deep dive →
Pillar 03

Confusion Pairs & Interleaving

The retention boost from mixing related-but-distinct concepts.

Read the deep dive →
Library

All seven pillars

Memory, diagnostics, interleaving, misconception repair, calibration, tutoring, knowledge graphs.

Open the library →

Reviewing us for a pilot?

We’re happy to share methodology, raw effect sizes, and references with your research team.