The Innovative University: Changing the DNA of Higher Education from the Inside Out by Clayton M. Christensen and Henry J. Eyring
Notice bibliographique
Résumé
Clayton M. Christensen and Henry J. Eyring. Innovative University: Changing the DNA of Higher Education from the Inside Out. San Francisco: Jossey-Bass, 2011. 475 pp. FEW YEARS AGO, THE ADMINISTRATION AT THE UNIVERSITY OF Alberta sent copies of Innovative University: Changing the DNA of Higher Education from the Inside Out by Clayton M. Christensen and Henry J. Eyring to various faculty members. Whether we were meant to be introduced to the miraculous ways of professional administration or whether they wanted to give us warning as to governmental and therefore administrative vision, I do not know. It matters little. By now, we are all aware of the growth of the corporate university, and this institution is much like many others in which the public university--and perhaps the public sphere--is coming under increasing stress from government and corporate interests. This book is one example of how platitudes and business-speak will take us to where we apparently need to go. Christensen and Eyring's Innovative University is one of the clearest statements on how to build your own corporate university. Its bulky four-hundred-plus pages provide the kind of expert advice that administrators love to hear, since at least one author is from the Harvard Business School (they both went through it), there is the mention of DNA in the title, and there are some references to high-art literature with a few quotations from Herman Hesse's Glass Bead Game to give readers a whiff of erudition. (1) There is also something of a retro feeling to the book, since Christensen and Eyring never hide their affiliation with the Church of Jesus Christ of Latter-Day Saints; part of the book's odd charm is its (to paraphrase Lisa Simpson) weird Pat Boone-ish quality, its complete, unselfconscious faith in the Church's fathers and their beneficence. This goes hand in glove with an equally complete devotion to capital and to business models that will provide the necessary management techniques for the university. It is as though the present could be reconstructed in some computerized 1950, where few of the economic, political, or intellectual events of the intervening years would cause any concern. Clearly, it's time for common sense and an intrepid march into a brand new kind of top-down business as usual. book is composed of five parts, usually with multiple chapters in each section. These are: Reframing the Higher Education Crisis, The Great American University, Ripe for Disruption, New Kind of University, and Genetic Reengineering. text tends to sprawl, and it is never entirely clear why it proceeds in its semi-historical fashion. book compares the growth and development of Harvard with that of Brigham Young University (byu), Idaho, but by the end of the introduction readers will already know what destructive innovation is and why the authors believe in it. A much shorter text would have sufficed. notes are sufficient but not always helpful; the index is helpful and professionally done. It is here, amidst this confluence of religion, capitalism, paternalism, and technology that one starts to feel the chilling shift from retro to repetition. Innovative University offers a slightly revised model of top-down management that, in this instance, is beholden to the Church of Jesus Christ of Latter-Day Saints, a group at least as powerful as many industries, states, or provincial entities. And this model, designed for the creation of a four-year college with no research mandate other than that connected with teaching, is built upon the expansion of online learning and the disappearance or reduction, in presence and influence, of PhD-trained faculty. Indeed, teaching must expand here to meet perceived needs, and all-pervasive administrators and Church leaders will influence everything, thus guiding the school away from the costly research university model as laid out by Harvard. However, although the research university model may be put aside, the influence of Harvard, as evinced in the endless stream of administrators who go West to BYU-Idaho, remains central, as though Idaho were a kind of testing ground for the nearly all-administrative university. …
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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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,004 |
| Communication savante | 0,007 | 0,009 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,007 |
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 ».