Challenges of integrating MOOCs into the Curriculum of YCM Open University in India
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 term Massive Open Online Courses (MOOCs) was coined by Dave Cormier of University of Prince Edward Island in Canada in the year 2008. However the MOOCs gained popularity in the year 2012, as world’s renowned Universities like Stanford University, Massachusetts Institute of Technology and Harvard University started offering MOOCs. The Journey of MOOCs in India started a little late, the Ministry of education formerly known as Ministry of Higher of Human Rights Development MHRD initiated the SWAYAM (Study Webs of Active Learning for Young Aspiring Minds) in the year 2014 and it was full fledgedly open to all the educational institutes to prepare, adopt, integrate the MOOCs into their educational framework by the year 2017. Ultimately the outburst of Covid-19 was observed to be the key factor for aggregation of MOOCs around the world as our present educational system was unable to cater the needs of the learners. In view of the above situation the apex educational body of the Indian Educational System, University Grants Commission (UGC) released a circular about integration of MOOCs into Higher education from previous 20% to 40%. This led to a drastic change in the educational structure of Indian educational system. The learners from different disciplines enrolled to the MOOCs available on various platforms such as SWAYAM, UGC-CEC, and NPTEL etc. due to their easy accessibility and on the go learning facility, many State and Central universities have developed their MOOC policies and have been practicing the MOOC integration into their curriculum. YCM Open University being the largest University in capacity of enrolment, lack behind in integrating MOOCs into its educational curriculum. Present study attempts to identify the problems and prospects of integration of MOOCs in curriculum of the YCM Open University. The survey method was implemented to carry out the research, and the researchers produced a structured questionnaire and collected data from the faculties of YCM Open University.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.005 | 0.006 |
| 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