Bibliographic record
Abstract
The following conferences may be of interest to the readers of the Quarterly Review of Distance Education.AEDEN 2013, June 12-15, Oslo, Norway“How can we do our best to make learning a thrilling experience for learners, including providing a sense of joy in the virtual classroom? The question is an exciting one and discussion and debate will provide a range of innovative theories and approaches, and help to determine the tools necessary to achieve our goals. Should they be about the smart use of information and communication technology tools, new methodologies for enhanced learning experience, content management systems, or about fascinating interdisciplinary solutions supported by game-based learning, immersive environments, multimedia, et cetera. The answers we will find may be dynamic and or even provoking.”http://www.eden-online.org/2013_oslo.htmlISTE 2013, June 23-26, San Antonio, TX“Make plans now to join us in San Antonio for the world's premier ed tech conference and exposition! ISTE 2013's vast program content provides professional development opportunities for anyone who works in education.”http://www.iste.org/conferences/iste-conferenceEdMedia, June 24-28, Victoria, BC, Canada“This annual conference serves as a multi-disciplinary forum for the discussion and exchange of information on the research, development, and applications on all topics related to multimedia, hypermedia and telecommunications/distance education.”http://www.aace.org/conf/edmedia/Sloan-C Blended Learning Conference and Workshop, July 8-9, Milwaukee, WI“This year's conference theme, ‘Perfecting the Blend,’ reflects our current efforts to further explore the blending of the student experience through practice and research while harnessing the potential of new and emerging technologies, pedagogies, and practices in a greater array of educational institutions facilitating an overall improvement in the state of education.”http://sloanconsortium.org/conference/2012/blended/welcomeE-Learn 2013, October 21-25, Las Vegas, NV“This annual conference serves as a multi-disciplinary forum for the exchange of information on research, development, and applications of all topics related to e-Learning in the corporate, government, healthcare, and higher education sectors.”http://www.aace.org/conf/elearn/AECT International Convention, October 29-November 2, Anaheim, CA“The AECT International Convention supports our efforts to improve ourselves by bringing together participants from around the world who offer practical applications, high quality research, hands-on workshops, and demonstrations of innovative approaches, developments in learning, instruction and performance technologies.”http://aectorg.yourwebhosting.com/events/call/
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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; both teacher heads agree on what is shown here.
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".