Claims

In a prior comparative evaluation, gamified phishing-detection modules produced better learning effects than Mimecast training

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? College participants trained with gamified modules scored higher on a 25-question phishing quiz than those trained with Mimecast or receiving no training, though the advantage is described as only to some degree. → Bingjun Li 2025

Evidence

Bingjun Li 2025

Bingjun Li, Christopher Buzaid, Weihao Qu. (2025). Security Education in Higher Education through AI-Powered Gamification. Journal of Cybersecurity, Digital Forensics and Jurisprudence. https://doi.org/10.65879/3070-5789.2025.01.07

q2 · i? · causal · r2

Comparative evaluation from the authors' preliminary work with 51 college participants randomly divided into gamified (18), Mimecast (18), and no-training (15) groups, followed by a 25 multiple-choice phishing quiz. The article reports the gamified group's advantage over Mimecast; the printed means appear in Table I and no effect size or significance test is reported.

"The result in Table I show that interactive (gamified) learning modules, even though not mobile friendly, has better learning effect on phishing detection topic over traditional platform such as Mimecast to some degree."

Discussion

Page metadata
Field Value
type claim
id gamified-modules-beat-mimecast-phishing
title In a prior comparative evaluation, gamified phishing-detection modules produced better learning effects than Mimecast training
description In a prior comparative evaluation, gamified phishing-detection modules produced better learning effects than Mimecast training
status review
evidence_strength weak
newest_evidence 2025
generated by process:wiki-ingest on 2026-10-10
trust unverified — no one has confirmed this page's content
sources 1 — bingjun-li-2025

Frontmatter is the page's machine-readable record — see the Schema & Guide.