Tomorrow University and Le Wagon Announce New MSc in technology and sustainability  Course

The new program is an important step in response to world problems: Tomorrow University and Le Wagon present an MSc in technology and sustainability. The program which combines Tomorrow University’s sustainability specialization with Le Wagon’s tech bootcamps’ reputation is designed to help professionals acquire the skills required to foster sustainable innovation in AI, Tech and Sustainability.

It is evident that there is a growing need for professionals who will be in a position to foster the use of  ttechnology and sustainability  and such things as climate change and green technology. Since more than 80% of enterprises are predicted to use AI by 2026, there is a growing demand for people who can integrate those tools into practice in an ethical and efficient way. This MSc program is to fulfill this need by offering the technical skill and the understanding of sustainability concepts.

The course is available in two formats as a fully online 24-month program or as the 18-month program with an in-person bootcamp for two months at one of Le Wagon’s campuses. The hybrid option provides students with the best of both worlds: the ability to study online while being able to complete practical, engaging assignments in cities such as Berlin, Paris, Tokyo and Cape Town.

It offers focused tracks in Web Development, Data Science, Data Analytics and Growth Marketing which enables a student to study more on the areas that suit their career path. Students will also become members of Tomorrow University’s sustainability community and Le Wagon alumni network, which consists of more than 28,000 members in 30 cities around the world. By working on actual projects, students will propose practical solutions to make the world greener in the future, and will also acquire a portfolio to prove expertise in both IT and sustainability.

Dr. Thomas Funke, the Founding President of Tomorrow University spoke to students on how to equip them with the skills and the right attitude to change the world. The partnership with Le Wagon is aimed at preparing future leaders of change through the integration of technology and sustainability, to allow the students to take an active part in the creation of a more sustainable future for AI and technology.

It also has the benefit of the participants being able to access the two communities and use them to enhance professional development. It is expected that graduates will finish the program with tangible project work experience to pursue a career in various sectors from technology to sustainability.

With AI advancing, the MSc in technology and sustainability  enables the tech leaders of the future to learn how to tackle some of the globe’s biggest issues through an innovative educational programme.

Source::  edtechinnovationhub.com

Veranda Learning Solutions Ltd’s Edtechnology stock  up 20% as it signs MoU with UK Institute

Edtechnology stock Veranda Learning Solutions rose 3.3% during the trading session on Friday reaching Rs. 244 on BSE. This came as a result of signing Memorandum of Understanding (MoU) with the UK base Institute of Accountants and Bookkeepers (IAB) and the National Skill Development Corporation (NSDC). The partnership will see the establishment of the CIAP program to enable the students gain international accounting and bookkeeping education in India.

Regarding the Partnership and the CIAP Program

The CIAP program is a six month course aimed at imparting commerce students with skills needed in the expanding Outsourced Accounting Services (OAS) market. The forecasted growth of the global F&A BPO market is projected to be $ 134.65 billion by 2032 and thus, the partnership with Veranda will provide students with high paid job opportunities in the finance industry. The launch of the program is expected to revolutionize career progression for students in the same way the IT revolution did in the early 2000s.

The Financial Growth of Veranda Learning

Veranda Learning Solutions has exhibited significant financial performance, wherein revenue from operations has risen year on year by 41% to Rs. 98.4 crores in Q2 FY24 and Rs. 138.6 crores in Q2 FY25. The net operating income increased from Rs. 1.5 crores to Rs. 43 crores YoY, however, net loss also escalated sharply from Rs. 1.5 crores to Rs. 30.4 crores YoY. However, EBITDA was higher and had YoY growth of 81.5% to Rs. 30.4 crores in Q2 FY25

Strategic Growth Initiatives and Stock Market Returns

Veranda Learning is also venturing into the international market particularly into the Middle East in offering Chartered Accountancy (CA) preparation courses in conjunction with Jumeira University Connect in the UAE. This is in line with the high education standards in Dubai or else the school adopted the best practices from all over the world. Besides, Veranda is also aiming to improve organizational efficiencies in its operations and expand the range of educational services.

While its stock price may have been slightly on the downside over the last year, the Edtechnology stock  has returned 43% in the last six months. This kind of growth and strategic direction towards expansion may well position the company to achieve the full-year EBITDA of Rs. 120 crores.

Future Outlook

Veranda Learning Solutions has recently strengthened its position in the Edtechnology stock  sector by implementing unique partnerships and a wide range of educational programs. While the company continues to expand domestically as well as internationally, the company works towards its core mission of becoming the largest education brand in India.

Source::    tradebrains.in

The Downfall of Traditional Edtech Companies Due to AI Education Integration

The rise of Artificial Intelligence education technologies, particularly after the launch of ChatGPT in November 2022, has reshaped the education sector. While many industries have adapted to the changes brought by GenAI, some edtech companies have struggled to keep up with the fast-paced technological advancements, resulting in significant losses.

One of the most notable examples is Chegg, once a dominant player in the edtech space, which has faced a severe decline in its business model due to the growing prominence of AI-driven tools. Chegg’s subscription-based services, which offered textbook rentals and homework help, have been overshadowed by more advanced and affordable Artificial Intelligence education technologies  tools that cater to students’ individual learning needs. Tools like ChatGPT and Google Gemini offer personalized learning experiences and provide real-time solutions, enabling students to learn at their own pace without the constraints of rigid, expensive subscription models.

The transition towards AI-powered platforms has been transformative for education. AI education tools like ChatGPT not only offer homework solutions but can also function as personal tutors, capable of tailoring learning plans and revision schedules based on students’ preferences. This adaptability contrasts sharply with the pre-generated content used by traditional edtech platforms, making them less appealing in a world increasingly reliant on real-time, customized information.

Chegg’s inability to adjust quickly to the rise ofArtificial Intelligence education technologies tools led to its downfall. The company, which had incorporated AI and machine learning into its operations since 2016, failed to recognize the profound impact that large language models like ChatGPT would have on the market. As a result, Chegg’s stock price plummeted by approximately 92% since the release of ChatGPT, highlighting the severe consequences of not adapting to AI advancements in the educational technology sector.

For traditional edtech companies, survival in this new AI-driven landscape requires the integration of AI strategies. As Artificial Intelligence education technologies  continue to evolve, platforms that fail to innovate and incorporate these tools may find themselves struggling to compete. The shift towards more affordable, accessible, and adaptable educational tools will push companies to rethink their business models or risk becoming obsolete.

The experience of Chegg serves as a cautionary tale for other edtech companies. To remain competitive, they must prioritize the integration of Artificial Intelligence education technologies and adapt their services to meet the growing demand for personalized, on-demand learning solutions. The ability to incorporate AI effectively will be the key to thriving in the rapidly changing edtech landscape.

Source::  verdict.co.uk

The Impact of AI on Learning Analytics: Opportunities and Challenges

The use of Learning Analytics has given educators a chance to study the data resulting from students’ interactions with digital learning resources to get insights into the learning process. This field is undergoing a revolution with the availability of generative AI tools such as ChatGPT and offers novel opportunities and challenges.

Classically, learning analytics has been about collecting data from online actions such as clicks, discussions, and tests. The primary use is to enable teachers to locate students who could be described as ‘bored’ or maybe students who are having a hard time with particular lessons. However, most teachers are struggling to work with the multiple and multiple-layered dashboards, and, therefore, to decipher the data. They have also noted that new AI tools are likely to assist in closing this gap because the new tools work as translators who present the data in simplistic ways. For instance, one can imagine that AI-enabled chatbots can better explain analytics to teachers so that they can use the data without needing to be experts in analytics.

Perhaps the most promising use of generative AI in learning analytics is the capacity for the system to analyze and classify students’ contributions in the discussion forums. Earlier, this process involved a lot of work to determine whether a post was on-topic or off-topic. This task is one that can now be done fast and without much input and with a lot of accuracy when using AI. With large language models such as ChatGPT, a great deal of student work can be processed and translated into usable information for teachers.

They are also being used to improve the delivery of personalized learning. It makes sense to track a student’s activity and achievements to be able to adapt a tutoring system to the student better. Learning analytics can then feed data into these types of systems to enhance the effectiveness of personalized tutoring. This makes it easy for the system to address individual requirements of the students that is very vital as the world shifts to more personalized learning systems.

In assessments, generative AI has a great opportunity to replace traditional multiple-choice questions with more open-ended, creative questions. Computerized grading of essays or fill-in-the-blank questions has been found to be as accurate as human grading. This might even help to reduce the thinking that is usually done in the boxes of ‘yes’ and ‘no’.

However, the use of AI in learning analytics presents two issues that are bias and transparency. Like any other AI systems, generative models such as ChatGPT embody the bias, depending on the information fed to the model. It is believed that algorithmic decisions could be quite similar to discrimination and cultural or racial bias might be upheld when algorithms are employed in crucial educational settings. Thus, even when still fascinating, there are some issues with the way the conclusions are made since some of the AI systems are not clear enough to explain how this is done; this creates even more problems of trust and fairness.

AI tools also raise crucial concerns about power relations in education as these come up. More so, as AI is involved in decision making, there are questions on who owns the algorithms that shape student learning. This could make agency with teachers and students and place it in the hands of the authors of the AI systems.

All in all, with the help of AI, learning analytics is progressing as the utilization of learning assets is being optimized as well as the individual educational process is being adjusted. However, its integration must be controlled to avoid the following tools being used in a biased manner or in a way that will reduce the public’s confidence in education systems.

Source::  edsurge.com

NetApp Excellerator Reveals New Batch of 13 Cohort Startups

The NetApp Excellerator marked its 13th cohort graduation where eight deep-tech startups catering to industries such as AI, edtech, MLOps etc were featured. At the Demo Day, the founders demonstrated their ideas to investors, mentors, and other professionals and shared a rich list of groundbreaking technologies to the audience.

Such startups as LEGO AI, Calibr, Pipeshift, and Enkrypt AI represent new benchmarks in their industries. For example, Pipeshift produces a managed platform aimed to assist companies to effectively train, deploy and manage large language models (LLMs). At the same time, CLIKA is refining the machine learning models to perform better, on the other hand, Enkrypt AI is working on increasing the security and the visibility for GenAI apps.

The NetApp Excellerator is an enabler to facilitate GenAI adoption and enable enterprises to leverage this disruptive technology. This group was a perfect blend of both AI and cloud integration, which was consistent with the observation of the NetApp 2024 Cloud Complexity study, where India was identified to be a leader in AI, with 70% of the organizations in the country already working on AI projects.

According to Vasanthi Ramesh, the Managing Director and VP of Engineering at NetApp India, the NetApp Excellerator is aimed at supporting the activity of startups and promoting cooperation in the development of innovative solutions. Since its founding seven years ago, the program has successfully guided startups, assisted the companies in understanding the complexities of the technology world, and assisted the companies in using data to increase efficiency and effectiveness for sustainable success. Cohort 13 Startups have applied this mentorship to advance the utilization of AI and offer innovative solutions in numerous sectors.

Started in 2017, the NetApp Excellerator program has earned its place as one of the top five accelerator programs in India, thanks to its PoC model that provides a way for startups to showcase the real-life effectiveness of their solutions. Many of the startup founders have been able to polish their MVPs, build meaningful market statistics, and fund more than $380M in total.

It has taken time and consistent guidance and support for NetApp Excellerator to emerge as a significant constituent of the deep-tech ecosystem that encourages innovation, development, and technology disruption.

source::  digitalterminal.in