СЕРВІС CISCO WEBEX MEETING CENTER ЯК ІНТЕРАКТИВНИЙ ЗАСІБ НАВЧАННЯ СТУДЕНТІВ З ОБМЕЖЕНИМИ МОЖЛИВОСТЯМИ
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.
Bibliographic record
Abstract
The article considers the system of views on using information and communication technologies in the institutions of higher education. The concept of “interactive learning” has been defined. The ways of increasing the accessibility of higher education for students with limited abilities have been described. This issue can be solved by using interactive tools as the key to the successful training of such students is the optimization of teaching material in the most receptive form. The main features of various e-learning services which are used in the students’ learning process have been described: Blackboard, Prometeus, ATutor, Moodle, Cisco WebEx Meeting Center. The experience of the Canadian on-line Fredericton University’s researchers on the use of the WebEx service in the educational process of their university have been analyzed. The main advantages and objectives of the Cisco WebEx Meeting Center service have been described. It has been noted that due to multimedia and feedback, WebEx service provides the presence of distance learners in the training audience. It offers technologies for the accurate transmission of audio and video, data exchange and individual session for group and individual learning, which simplify the learning process. The usefulness of WebEx for students with limited abilities has been considered. Organizing and conducting of interactive class sessions for students with limited abilities using the Cisco WebEx Meeting Center service has been presented. WebEx service video broadcasting and sound transmission during interactive class sessions have been described.
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 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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it