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Entrepreneurial Learning and Virtual Learning Environment

2008· book-chapter· en· W2972784 on OpenAlex
Paula Kyrö, T. Kauppi, Mary Nurminen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueContributions to management science · 2008
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsEntrepreneurshipEuropean unionEuropean commissionPolitical scienceVocational educationPublic relationsPedagogySociologyEngineering ethicsEngineeringBusiness

Abstract

fetched live from OpenAlex

Both entrepreneurial and virtual learning are phenomena that have risen in the turn of the twenty-first century. The needs of the society as well as the technical innovations have sped up their development. The European Union has set entrepreneurial practices as one of the central goals in active citizenship (the European Commission 1999). Finland is committed to it throughout its education system (European Commission 2002). To reach this goal, the Ministry of Education has launched a policy programme for entrepreneurship education. The programme emphasises the importance of entrepreneurship education as a part of teachers basic and extension studies. (Opetusministeriö 2004). However, the educational research of the dynamics of entrepreneurial learning has hardly begun. Mainly, this discourse has taken place in business disciplines and in some extent in the field of technology. The American view of both entrepreneurship and education influences the dialogue (Kyrö 2005). The conceptualisation of education oriented discourse is still fragmented and searching for its forms. However, a new European multi-scientific wave is rising in the contemporary research and this study follows this tradition. It focuses on the cultural background, innovative processes and the dynamics of learning in entrepreneurship (for example Fayolle, Ulijn and Kyrö 2005). When it comes to the virtual learning Finland is among those in the forefront in its development. For example in educational sector it has a special strategy programme following mainstreaming principles and in universities we have own programme for national virtual university (Opetusministeriö 2000). Recently virtual learning researches have identified an increasing need to focus more on social, interactive and networking learning practises (Sallila and Kalli 2002). Internet-based learning environments offer one tool to meet this challenge. For example Hakkarainen (2002) regards them as the most promising new technology applications for that purpose. As an example he describes the Canada-based “Future Learning Environment (FLE)-project”. Other examples of different projects that face these questions are, for instance, Finnish “The IQ Form” and “Metodix” that focuses on scientific research (Niemi and Ruohotie 2002, http://www.metodix.com). All three examples represent learning platforms that are rather widely used in respect to Finnish population. The latest statistics of Metodix reports that it has 3,900 registered users and 20,000 average visits/month.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.223
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it