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A Fresh Twist on Online Learning

2013· article· en· W1569069591 sur OpenAlex

Pourquoi ce travail est dans la base

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueResearch-Technology Management · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueOnline Learning and Analytics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBrick and mortarPrestigeHigher educationThe InternetDistance educationMassive open online coursePublic relationsMathematics educationSociologyEngineeringPolitical sciencePsychologyComputer scienceWorld Wide Web
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In recent years, college-level online has emerged as a useful adjunct to on-site training without presenting any threat to traditional brick-and-mortar universities. But fall 2012 saw arrival of a new approach to remote higher education--pioneered, ironically, by traditional centers of higher education. Over I00,000 students started half a dozen free courses offered on an open source platform by edX, a nonprofit organization founded by Harvard University and MIT and recently joined by University of California, Berkeley, and University of Texas system. At same time, more than 1,750,000 individuals began online lessons presented by Coursera, a for-profit company founded by two Stanford University professors. The two groups offer similar approaches to their massive open online courses (MOOCs). The courses are open to any student anywhere in world with access to an Internet connection. Both organizations offer certificates of completion to students who can prove their understanding of subject matter in any course. For present, those certificates come without charge. However, that might change as courses become more established Also in works: possibility that online students can obtain academic credit from some of universities involved in projects and chance to take proctored examinations at brick-and-mortar testing centers. The impact of these new approaches on traditional higher education remains to be seen. But prestige of universities offering online courses and students' initial response indicate that would-be employers, particularly in industry, should prepare to deal with a new channel for potential recruits. Improved Understanding of Learning Process In addition to possible future revenue, two groups see their courses as sources for improved understanding of process of learning. It's possible, officials say, that they can apply insights from their experiments in online to traditional academic teaching. Long term, says Harvard provost Alan Garber, the payoff is going to come from a better understanding about how people learn. The surge of MOOCs stems in large measure from technical improvements in platforms that deliver courses. Coursera, edX, and smaller start-ups deliver their pedagogic material in multimedia fashion that enables personalized instruction. According to edX website, its platform's features include self-paced learning, online discussion groups, wiki-based collaborative learning, assessment of as a student progresses through a course, and online laboratories and other interactive tools.... Because it is open source, platform will be continuously improved by a worldwide community of collaborators, with new features added as needs arise. Coursera emphasizes that its process enables mastery learning by giving students immediate feedback on homework assignments and allowing them to rework assignments. Coursera executives estimate that this process can increase percentage of students who reach a median level of performance from 50 percent to over 80 percent. Two Business Models While they both target same broad spectrum of potential students and seek fresh academic partners, Coursera and edX have different business models. Stanford computer scientists Andrew Ng and Daphne Koller founded Coursera soon after another Stanford professor, Sebastian Thrum, formed Audacity, a smaller online-education firm. Shortly after its foundation, Coursera received $16 million in venture capital. Having started operations with Stanford, Princeton, and Universities of Pennsylvania and Michigan as its academic partners, company moved fast to bring in additional elite universities to host classes on company's online platforms and eventually receive percentages of Coursera's revenue and profits. An initial effort increased number of participants to 17, including Caltech, Duke University, Georgia Tech, Johns Hopkins and Rice Universities, University of California, San Francisco, Universities of Washington and Virginia, and such overseas institutions as University of Toronto, Scotland's Edinburgh University, and Federal Technical Institute of Lausanne, Switzerland. …

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,457
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0020,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,003

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.

Tête enseignante Opus0,036
Tête enseignante GPT0,353
Écart entre enseignants0,317 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle