A Festschrift to Honour Jim Greer: Guest Editors’ Introduction
Notice bibliographique
Résumé
issue of IJAIED as an honour to Jim emerged over the next few months.The goal was to create a "Festschrift", a collection of papers by researchers who felt they had been inspired by Jim and/or influenced by his research insights.The Festschrift special issue was formally approved by the IJAIED editorial board in 2019, with the two of us appointed as "guest" editors.We created an open Call for Papers that was distributed widely to the AIED, UMAP, and related communities during the (northern) summer of 2019.The Call requested that "…each [submitted] paper should be a contribution to the AIED field presenting a novel research project or result, an integrative summary of an ongoing research program, or an insightful reflection or survey of a field of research that overlaps one or more of Jim's various interests.To ensure that the special issue is a true tribute to Jim, we ask that each paper explicitly communicate Jim's influence on the research or researcher."Papers started to arrive in late 2019 and continued to flow in over the next many months.By June of 2021, after full reviewing (often with several reviewing cycles) 24 papers had ultimately been accepted for the special issue.It is our pleasure to present this Festschrift.We believe it is a fitting tribute to Jim Greer's influence on the researchers and generally on the fields of AIED and UMAP.Jim Greer was a longtime Professor of Computer Science at the University of Saskatchewan.Throughout his life Jim had an unwavering commitment to teaching and learning, earning many degrees himself, teaching at the high school and university levels, taking leadership roles in improving the teaching and learning environment at the University, and exploring deep issues in advanced learning technology in his research career.For all his efforts, Jim was awarded the Province of Saskatchewan Centennial Medal in 2006, which "recognizes individuals who have made significant contributions to society and honours outstanding achievements".Jim grew up on a farm near Weyburn, Saskatchewan, completed high school at St. Peter's College in Muenster, Saskatchewan, and came to the University of Saskatchewan (UofS) in 1970 where he completed his B.Sc. in Mathematics in 1973 and his B.Ed. in Mathematics Education in 1976.He taught high school in Saskatoon, Saskatchewan, from 1974 to 1976, and then in Lethbridge, Alberta, until 1982.In 1982, in a life-transforming move, he and his wife Marianne, with their young family in tow (son Phil and daughter Erin), upped stakes and headed off for further education and new careers.The first stop was back at UofS, where Jim completed an M.Ed. in Mathematics Education in 1984 and an Advanced Certificate in Computational Science.After that they were off to the University of Texas at Austin, where Jim earned both an M.S. in Computer Science and a Ph.D. in Computer Science Education.In 1987 Jim and Marianne came back to UofS again, where Jim joined the Department of Computational Science (now Computer Science) as a postdoctoral fellow, working with Gord McCalla.Together, Jim and Gord established the Laboratory for Advanced Research in Intelligent Educational Systems (ARIES), a lab that went on to carry out world class research in advanced
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,003 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,012 | 0,006 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,012 | 0,018 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,025 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».