Claims

Part 1 of the Festschrift contains 7 papers on learner modelling and personalization and 4 on evaluation, reflecting Jim Greer's early interests

Claim · All claims
Evidence · 1 study · review r1 · q1
Currency · newest study 2021 · 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.

q1 i? Part 1 of the Festschrift groups 7 papers on learner modelling and personalization and 4 papers on evaluation, which the editors identify as Jim Greer's early research interests. → Gord McCalla 2021

Evidence

Gord McCalla 2021

Gord McCalla, Julita Vassileva. (2021). A Festschrift to Honour Jim Greer: Guest Editors' Introduction, Part 2 — A Special Issue of the International Journal of Artificial Intelligence in Education. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00284-w

q1 · i? · review · r1

Editors' introduction stating the topical composition of Part 1 of the special issue, published in volume 31, issue 3. The paper counts are printed in the quoted sentence; no empirical analysis is reported.

"Part 1 contains papers with a focus on learner modelling and personalization (7 papers) and evaluation (4 papers), Jim's early interests."

Discussion

Page metadata
Field Value
type claim
id greer-festschrift-part1-topic-distribution
title Part 1 of the Festschrift contains 7 papers on learner modelling and personalization and 4 on evaluation, reflecting Jim Greer's early interests
description Part 1 of the Festschrift contains 7 papers on learner modelling and personalization and 4 on evaluation, reflecting Jim Greer's early interests
status review
evidence_strength weak
newest_evidence 2021
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — gord-mccalla-2021

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