Page 37 - MMTTP_Guidelines_English
P. 37

Feedback  Mechanism  -  Participants  are  required  to  fill  in  the  feedback  form  after  each

           Programme.

           Financial Norms


                                                                        Physical         Financial
                                                                        (2 years)        (2 years)

                                                            Unit Cost*                                Number of Institutions    Host Institution
             S.
                              Component
            No.                                                      No. of training   Programme   No.   of beneficiaries/   faculty to be   trained   (Amount   in Rs.)







              1   Capacity Building Programme on Artificial Intelligence for Faculty Members


                      Artificial Intelligence Essential
             (i)                                        3,60,000    12        1200        43,20,000   1
                           (Foundation Course)                                                              IIT
                                                                                                          Ropar
                     AI Prompting - tricks in the trade:
             (ii)                                       4,05,000     6         600        24,30,000   1
                           (Advanced Course)

              2   Capacity Building Programme on Artificial Intelligence for Academic Leaders

                      Artificial Intelligence Essential
             (i)                                        3,60,000    12        1200        43,20,000   1
                           (Foundation Course)
                                                                                                            IIT
                     AI Prompting - tricks in the trade:                                                  Ropar
             (ii)                                       4,05,000     6         600        24,30,000   1
                           (Advanced Course)

              3   Capacity Building Programme on Cyber Security for Faculty

                        Cyber security Essentials –
             (i)                                        3,60,000    12        2400        43,20,000   1
                             (Basic Course)                                                                 IIT
                                                                                                          Madras
                        Cyber Security Essentials –
             (ii)                                       4,05,000     6        1200        24,30,000   1
                          (Intermediate Course)
           * cost includes all expenses and taxes, if any

           Impact

           Cybersecurity  training  for  faculty  in  higher  education  is  crucial  in  an  increasingly  digital
           landscape, as it equips educators with the skills needed to protect sensitive data and maintain
           the  integrity  of  academic  systems.  This  training  not  only  enhances  faculty  awareness  of
           potential cyber threats but also fosters a culture of security within the institution.

           Furthermore,  incorporating  Artificial  Intelligence  into  training  Programmes  can  personalize
           learning experiences, adapt to individual knowledge levels, and provide real-time feedback,
           thereby improving the effectiveness of the training.

           Together,  these  initiatives  are  expected  to  empower  faculty  to  safeguard  educational
           environments while promoting a proactive approach to cybersecurity, ultimately enhancing the
           overall resilience of higher education institutions against cyber threats. Faculty trained under
           this initiative will serve as ambassadors, cascading knowledge within their institutions and
           across the education sector, reinforcing the HEI’s preparedness.
                                                                                                             37
   32   33   34   35   36   37   38   39   40   41   42