Social Media and the New Academic Environment: Pedagogical Challenges
Bibliographic record
Abstract
Social Media and New Academic Environment: Pedagogical Challenges Coordinators: Bogdan Patrut / Monica Patrut / Camelia CmeciuPublisher: IGI GlobalAlthough Social Media has a very short history, number of articles dedicated to this topic is enormous. Its continuous growth in importance can be drawn from huge amount of literature and authors who relate to it.Digital literacy for effective communication in new academic environment, as Vasilescu (et al.) express in title of their paper, is extremely important for nowadays students and teachers as well. I strongly agree with authors arguing that the fixity of knowledge - accumulation of fixed elements of knowledge - no longer meets requirements of nowadays society. The capac- ity of change, adaptation, and constant updating of these elements according to individual needs, but also to needs of various contexts of knowledge, must be used as a prerequisite of social integration for graduate [and not only]. Education stepped into era of deep reforms based on new concepts: studentcentered learning, informal education, and personal learning (p.368). Transversal competencies, such as autonomy and responsibility, social networking and personal and professional development, along with professional ones, enable not only students, but teachers too, with necessary instruments for better knowledge production and distribution and at same time allow them to experience new personal interaction settings.Social Media and New Academic Environment: Pedagogical Challenges started as an initiative of three young Romanian professors, Bogdan and Monica Patrut, from Vasile Alecsandri University of Bacau and Camelia Cmeciu, from Danubius University of Galati and ended published by rebowned IGI Global. As editors abovementioned preface it: Based on idea that social media radically transforms environment in which university students and professors interact, in teaching-learning process, but also in field of scientific research, book aims at presenting latest achievements, studies, discoveries, national practices related to social media use in academic environment. (editors' note, p. XIX)Social Media and New Academic Environment: Pedagogical Challenges is therefore a collection of research papers written by a group of over forty senior and junior researchers coming from universities in twelve countries: Romania, Ireland, USA, Finland, Canada, United Kingdom, Spain, Portugal, Italy, Austria, Malaysia or Ukraine. Approaching both theoretical and practical aspect of social media usage in educational environment, book is similar to conference tomes as it shows different perspectives of authors with an extremely diverse educational background (mainly Computer Science, Political Science, Communication Science, Biology, Education, Psychology or Sociology, to mention just a few) and using very different research methodologies. With contributors belonging to such vari- ous cultural and educational environments, the book provides relevant theoretical frameworks and latest research on social media challenges in educational context (publishers' summary).The book started as an intention to address some important questions regard- ing implications of social media's wide impact on higher education. Are we witnessing today a new pedagogical paradigm? Can we talk about Pedagogy 2.0 or is it all just an embellishment of traditional educational paradigm? Do social media have real implications in educational field, or are they just a set of tools meant to entertain participants? Are there any clear cases of successful use of social media in higher education? If yes, then what are results?Given diversity of angles authors approach subject, I feel need to make a brief presentation of books' structure. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.014 |
| Scholarly communication | 0.019 | 0.028 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".