In the Philippines, the gap between opportunities in Metro Manila and the rest of the country is as vast as the sprawling urban skyline. Historically, the capital has been the epicentre of economic, educational, and professional growth, leaving rural areas in its shadow. However, the COVID-19 pandemic catalysed a profound shift in how work and education are approached, shifting from the bustling offices of business districts to the screens of homes across the archipelago. What started as a crisis response has evolved into a strategic advantage—hybrid work and learning. These models not only bridge opportunity gaps but also provide a long-term framework for a more inclusive, resilient future for Filipinos nationwide.

The Evolution of Work in the Philippines

From On-site to Hybrid: How the Pandemic Reshaped Work Dynamics

Before the pandemic, the traditional work culture in the Philippines was deeply rooted in the physical office. Major business hubs like Makati, Ortigas, and Bonifacio Global City hosted countless professionals who spent hours commuting from outlying areas. The belief that productivity was linked to physical presence was pervasive, with telecommuting rarely considered viable outside select industries like IT and BPO.

Then came the pandemic—a global disruption that upended office norms overnight. Strict lockdowns forced companies to adopt remote work models to survive. Digital tools like Zoom, Microsoft Teams, and cloud-based platforms became essential to business continuity. What started as a temporary solution quickly proved to be a game changer. Companies saw the benefits of hybrid setups, which allowed employees to split their time between home and the office, improving work-life balance while maintaining productivity.

The numbers paint a compelling picture. 

A 2021 survey conducted by the Employers Confederation of the Philippines revealed that 90% of businesses adapted remote work arrangements, with many considering hybrid setups for the long term. 

Similarly, a 2022 study by JobStreet Philippines showed that nearly 70% of Filipino workers would prefer remote or hybrid work arrangements in the future. This transition marked a significant step toward making jobs more accessible to Filipinos, regardless of their geographic location.

A 2024 PwC Philippines report found that 52% of employees now work in hybrid setups, while only 27% work fully remotely. According to a Cisco Systems study, 89.2% of Filipino employees believe their well-being has improved under hybrid work arrangements, and 78.7% reported increased work quality.

Expanding Employment Opportunities Beyond Metro Manila

Decentralising Job Opportunities for a More Inclusive Workforce

Metro Manila has long been the centre of economic activity in the Philippines. The concentration of job opportunities in the capital has created a stark imbalance, forcing workers from rural and remote areas to relocate or face limited employment options. This centralisation has contributed to growing regional inequalities, with wealth, opportunities, and resources disproportionately concentrated in urban centres.

Hybrid work models are now reshaping this dynamic. By enabling employees to work remotely, companies can tap into talent from across the country, reducing the need for relocation. Skilled professionals from rural and underserved areas can now access high-paying jobs, contributing to a more inclusive economy. This decentralisation not only levels the playing field for job seekers but also reduces brain drain from rural regions, where talented individuals often move to cities for work.

PLDT and the Shift to Hybrid Work

PLDT, one of the Philippines’ largest telecommunications companies, provides a clear example of the benefits of hybrid work. The company implemented a hybrid setup during the pandemic and has continued with this model due to its success. 

According to the company, hybrid work expanded its hiring pool beyond Metro Manila, reaching skilled professionals in provinces like Batangas, Iloilo, and Davao. This shift has helped the company retain talent while contributing to regional development by creating employment opportunities outside the capital​.

GCash’s Regional Expansion through Hybrid Work

GCash, the Philippines’ leading mobile wallet provider, also embraced hybrid work during the pandemic. By allowing employees to work from various regions, GCash has expanded its reach and customer support to rural areas, where financial services were previously inaccessible. This hybrid approach enabled the company to improve customer service in underserved regions while providing employment opportunities to skilled workers who no longer needed to move to Manila.

By decentralising job opportunities, enterprises can not only solve regional inequalities but also access untapped talent pools. This broader recruitment strategy is key to fostering a more inclusive workforce representing the nation.

Hybrid Learning: A Gateway to Top-tier Education

How Hybrid Learning is Transforming Access to Education

These inequalities extend into the education realm. 

Access to quality education has always been a significant challenge for students in remote areas of the Philippines. The country’s most prestigious schools are in urban centres, leaving rural students limited access to top-tier education. Geographic barriers, financial constraints, and relocating costs have long prevented many from pursuing higher education at premier institutions.

The pandemic, however, forced educational institutions to adopt online and hybrid learning models, removing many of these barriers. With schools offering virtual classes and online resources, students from remote provinces could now access the same quality of education as their urban counterparts.

Case Study: Philippine Science High School’s Virtual Programs

The Philippine Science High School (PSHS), renowned for its high academic standards and specialisation in science, technology, engineering, and mathematics (STEM), rapidly adopted virtual learning programs during the pandemic. As a public institution that traditionally required students to attend in-person classes at one of its campuses, PSHS transitioned to a hybrid model to accommodate the educational needs of students nationwide. Implementing virtual laboratories, online lectures, and digital resource libraries allowed students from remote regions like Mindanao and Visayas to continue their STEM education without disruption.

This model maintained high educational standards and opened doors for students unable to afford relocation to PSHS in Manila or regional campuses. By integrating hybrid learning into its core curriculum, PSHS effectively democratised access to top-tier STEM education, ensuring geography was no longer a barrier to high-quality learning.

Case Study: University of the Philippines’ Hybrid Model

The University of the Philippines (UP) also quickly adapted to hybrid learning during the pandemic, offering online and in-person classes. This shift allowed students from provinces like Zamboanga and Leyte to attend lectures, participate in virtual discussions, and complete coursework without leaving their hometowns. As a result, UP saw an increase in applications from rural students, many of whom had previously been unable to attend due to geographic constraints.

One such example is a student from Zamboanga who, before the pandemic, lacked the resources to relocate to Manila to attend UP. Through the university’s hybrid model, this student could complete their degree from home, gaining access to mentors and academic resources that would have been otherwise out of reach. This success story underscores the transformative potential of hybrid learning in democratising access to education​.

Creating Global Opportunities through Hybrid Learning

Hybrid learning is not limited to domestic education. It also allows Filipino students to apply to international universities without the immediate need for relocation. Many universities abroad, including those in the U.S., U.K., and Australia, now offer hybrid programs that allow students to start their education remotely and complete their degrees in person. This flexibility empowers students from remote areas to pursue global opportunities that were once unattainable due to financial and logistical constraints.

By investing in hybrid learning models, the Philippines can bridge the education gap and unlock students’ potential from all regions, ensuring that geographic location is no longer a barrier to academic success.

The Road Ahead: Sustaining the Hybrid Momentum in the Philippines

Long-term Benefits of Hybrid Work and Learning Setups

The future of work and education in the Philippines hinges on the continued adoption of hybrid models. This momentum will require collaboration between the government, businesses, and educational institutions. Here are the long-term benefits and strategies for maintaining a successful hybrid setup:

  • Bridging Employment Gaps: Hybrid work enables organisations to tap into talent nationwide, fostering a more inclusive workforce. It also reduces the need for urban migration, helping balance regional development.
  • Enhancing Access to Education: Hybrid learning opens doors for students in remote areas to access top-tier education. This model ensures that talent and merit, rather than location, determine access to academic opportunities.
  • Fostering Continuous Learning: Digital platforms for hybrid work and education promote lifelong learning. Employees and students can continuously upskill and reskill by offering flexibility in how and where learning takes place, keeping them competitive in a rapidly changing economy.

Hybrid setups have the potential to reshape the future of work and education in the Philippines, bridging long-standing opportunity gaps. By decentralising access to jobs and schools, these models can create a more inclusive, resilient society where geography no longer dictates access to success. Now is the time for leaders in both the public and private sectors to fully embrace hybrid work and learning, ensuring that all Filipinos have the opportunity to thrive—no matter where they live.

As the country moves forward, hybrid models will not only remain relevant but essential in building a competitive, inclusive future. By investing in these setups, the Philippines can create lasting opportunities that span both rural and urban regions, ensuring a future where no one is left behind.

At Kadence, we provide market research expertise to help brands navigate this new hybrid economy. Want to understand how hybrid models are impacting your industry? Our team can deliver actionable insights to fuel your strategy. Contact us to learn how we can support your brand in the evolving Philippine market!

Imagine a classroom where each student’s learning experience is tailored to their unique needs and pace, where administrative tasks are streamlined through automation, and where data-driven insights inform curriculum development and teaching strategies. This scenario is becoming a reality as Artificial Intelligence enters educational systems worldwide. Integrating AI in education is no longer a futuristic concept but a transformation reshaping how we learn and teach.

AI has rapidly become a practical tool that revolutionises various sectors, including education. In recent years, AI technologies have been integrated into educational systems worldwide, offering personalised learning experiences, automating administrative tasks, and providing data-driven insights to improve educational outcomes. These advancements range from AI-powered learning management systems that adapt to individual student’s needs to intelligent tutoring systems that provide real-time feedback and support. AI applications in administrative roles, such as admissions and scheduling, are also streamlining processes and allowing educational institutions to operate more efficiently.

AI’s Impact on Higher Education in Singapore

Singapore, known for its commitment to educational excellence and innovation, is at the forefront of integrating AI into its higher education system. As the country continues to invest heavily in technology and education, understanding the impact of AI on higher education becomes crucial.

AI significantly transforms higher education in Singapore, posing opportunities and challenges for universities. By leveraging AI technologies, universities can enhance learning outcomes, improve administrative efficiency, and provide personalised educational experiences. However, to fully realise the potential of AI, they must also address ethical considerations, ensure data privacy, and maintain the human touch in education.

How Singaporean Universities are Incorporating AI into their Institutions

Singaporean universities have proactively adopted AI technologies to enhance educational outcomes and streamline administrative processes. The integration of AI is evident across various facets of the higher education system, demonstrating a commitment to leveraging technology for improved efficiency and personalised learning.

  • AI-Powered Learning Management Systems

AI-powered learning management systems (LMS) are increasingly prevalent in Singaporean universities. These systems utilise machine learning algorithms to tailor educational content to the needs of individual students. For instance, the National University of Singapore (NUS) has implemented AI-driven LMS platforms that adapt coursework and learning materials based on students’ performance and learning styles. This adaptive learning approach ensures that students receive the support they need to succeed, making the learning experience more effective and engaging.

  • Personalised Learning Experiences Through AI

Personalised learning is one of the most significant benefits of AI in higher education. AI technologies enable universities to provide customised learning paths for students, catering to their unique strengths and weaknesses. At Nanyang Technological University (NTU), AI tools analyse student data and create personalised study plans. These AI systems monitor students’ progress and provide real-time feedback, allowing for adjustments in teaching strategies and learning materials. This level of personalisation helps students achieve better learning outcomes and keeps them motivated.

  • Use of AI in Administrative Tasks

AI is also transforming administrative tasks within universities, making processes more efficient and reducing the workload on staff. For example, AI algorithms are used in admissions to screen applications and identify the most promising candidates. This automated process ensures a fair and unbiased selection while saving time and resources. Additionally, universities like Singapore Management University (SMU) use AI to schedule classes and manage resources, optimise facilities, and ensure that schedules are convenient for students and faculty.

Is AI the Future of Higher Education?

Potential Benefits of AI in Education

  • Enhanced Learning Outcomes Through Personalised Education

AI has the potential to significantly enhance learning outcomes by providing personalized education tailored to each student’s needs. AI-powered systems can create customised learning paths by analysing data on students’ learning patterns, strengths, and weaknesses. These systems can adapt coursework in real-time, offering additional resources or alternative explanations to ensure students grasp complex concepts. 

For example, at Singapore’s Nanyang Technological University (NTU), AI-driven platforms monitor student performance and offer personalised recommendations, resulting in improved academic achievement and student satisfaction.

  • Improved Efficiency in Administrative Processes

AI can streamline various administrative processes within universities, leading to increased efficiency and reduced workloads for staff. Admissions, grading, scheduling, and resource management can be automated using AI algorithms. This not only speeds up these processes but also minimises human errors. 

At the National University of Singapore (NUS), AI evaluates applications in the admissions process, ensuring a fair and unbiased selection of candidates. Similarly, AI-driven scheduling systems optimise the allocation of classes and resources, making operations more efficient.

  • Access to Global Resources and Expertise via AI-Driven Platforms

AI-driven platforms provide students and educators access to vast global resources and expertise. AI-powered online learning platforms can recommend courses, articles, and research papers based on individual interests and academic needs. These platforms can also connect students with experts and peers worldwide, fostering a collaborative and enriching learning environment. 

For instance, AI-enabled systems at Singapore Management University (SMU) offer students personalised recommendations for online courses and virtual lectures from renowned global institutions, enhancing their learning experience and broadening their academic horizons.

Potential Challenges and Ethical Considerations

  • Data Privacy Concerns

One of the primary challenges associated with AI in education is the issue of data privacy. AI systems rely on extensive data collection to function effectively, raising concerns about the security and confidentiality of student information. There is a risk of data breaches and unauthorised access to sensitive information. Universities must implement robust data protection measures to ensure the privacy and security of student data. Establishing clear policies on data usage and obtaining informed consent from students are crucial steps in addressing these concerns.

  • Potential Loss of Human Touch in Education

While AI can enhance efficiency and personalisation, there is a risk of losing the human touch in education. The interaction between students and educators is a critical component of the learning experience, providing emotional support, mentorship, and inspiration. Over-reliance on AI could lead to a more impersonal education system, where students miss the valuable human connection with their teachers and peers. It is essential to strike a balance, ensuring that AI complements rather than replaces human interaction in the educational process.

  • Equity and Accessibility Issues

AI in education also raises concerns about equity and accessibility. If access to AI tools is not evenly distributed, AI technologies may exacerbate existing inequalities. Students from disadvantaged backgrounds may lack the necessary resources and infrastructure to benefit from AI-driven education, leading to a digital divide. Universities must ensure that AI technologies are accessible to all students, regardless of socioeconomic status. Providing equal access to AI tools and addressing the digital divide are crucial to ensuring that the benefits of AI in education are equitably distributed.

What Universities Can Do to Combat the Challenges of AI

Balancing AI with Human Interaction

  • Ensuring AI Complements Rather Than Replaces Human Educators

To effectively integrate AI into higher education, AI technologies must complement rather than replace human educators. AI can handle repetitive tasks, analyse data, and provide personalised learning experiences, but the role of educators in providing mentorship, emotional support, and inspiration remains irreplaceable. Universities should focus on using AI to enhance the teaching and learning process, allowing educators to spend more time on activities that require human interaction and judgment.

  • Training Faculty and Staff to Work Effectively with AI Tools

For AI to be successfully integrated into higher education, faculty and staff must be adequately trained to use AI tools. Universities should invest in professional development programs that equip educators with the necessary skills and knowledge to utilise AI technologies effectively. Training should cover the technical aspects of AI and pedagogical strategies for integrating AI into the classroom. By empowering educators with the right tools and training, universities can ensure that AI enhances rather than disrupts the educational experience.

Addressing Ethical Concerns

  • Implementing Robust Data Privacy Measures

Data privacy is a significant concern regarding the use of AI in education. Universities must implement robust data privacy measures to protect student information and prevent unauthorised access. This includes encrypting data, regularly updating security protocols, and ensuring compliance with data protection regulations. Clear policies on data usage and informed consent from students are also essential to building trust and transparency in using AI technologies.

  • Establishing Guidelines for Ethical AI Use in Education

Ethical considerations are paramount when integrating AI into education. Universities should establish comprehensive guidelines for the ethical use of AI, addressing issues such as data privacy, transparency, and accountability. These guidelines should be developed with stakeholders, including educators, students, and AI experts, to ensure they are inclusive and effective. Regular reviews and updates of these guidelines are necessary to keep pace with advancements in AI technology and evolving ethical standards.

Ensuring Accessibility and Inclusivity

  • Providing Equal Access to AI Tools for All Students

To prevent the worsening of existing inequalities, universities must ensure all students have equal access to AI tools. This includes providing the necessary infrastructure, such as high-speed internet and AI-enabled devices, to support AI-driven learning. Financial assistance programs and subsidies can help ensure that students from disadvantaged backgrounds are not left behind. By making AI technologies accessible to all students, universities can promote inclusivity and equity in education.

  • Addressing the Digital Divide Among Students

The digital divide is a critical issue universities must address to ensure the equitable use of AI in education. This involves providing physical access to AI tools and offering training and support to help students develop the digital literacy skills needed to use these tools effectively. Universities should implement programs that provide ongoing technical support, digital skills workshops, and peer mentoring to help bridge the digital divide. Ensuring that all students can benefit from AI-driven education is essential for promoting fairness and inclusivity.

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Strategies for Universities to Be More Appealing in the AI Era

Enhancing the Student Experience

  • Offering Personalised Learning Paths

One of the most compelling advantages of AI in higher education is the ability to offer personalised learning paths. By leveraging AI technologies, universities can tailor educational content to meet each student’s individual needs and learning styles. This personalised approach ensures that students receive the right level of challenge and support, helping them to achieve their full potential. 

For example, AI-driven platforms can track students’ progress and provide customised recommendations for supplementary materials, ensuring each student stays on track and engaged.

  • Providing AI-Powered Career Services and Job Placement Support

Universities can use AI to enhance their career services and job placement support in the competitive job market. AI-powered career services platforms can analyse job market trends and student profiles to provide personalised career advice and job recommendations. These platforms can also offer resume-building tools, interview preparation resources, and networking opportunities with potential employers. By integrating AI into career services, universities can help students navigate their career paths more effectively and increase their employability.

Fostering Innovation and Research

  • Encouraging Interdisciplinary AI Research Initiatives

Universities should encourage interdisciplinary AI research initiatives to stay ahead of technological advancements. By fostering collaboration between different academic departments, universities can explore new applications of AI across various fields, from healthcare to engineering to social sciences. 

Interdisciplinary research can lead to innovative solutions and breakthroughs that address complex global challenges. Providing funding and resources for such initiatives and creating platforms for researchers to share their findings can significantly enhance the university’s reputation as a leader in AI research.

  • Collaborating with Industry Partners for Real-World AI Applications

Collaborating with industry partners is essential for universities to remain relevant and provide students real-world experience. Partnerships with tech companies, startups, and other organisations can offer students internships, co-op programs, and project-based learning opportunities. These collaborations allow students to apply their knowledge in practical settings, gain valuable industry insights, and build professional networks. Industry partnerships can also drive innovation by providing researchers access to cutting-edge technology and data, enabling them to work on projects with real-world impact.

Emphasising Soft Skills and Human-Centric Education

  • Integrating Critical Thinking, Creativity, and Emotional Intelligence into the Curriculum

The importance of soft skills cannot be overstated. Universities should integrate critical thinking, creativity, and emotional intelligence into their curricula to prepare students for a future where these skills will be in high demand. Courses and workshops focusing on problem-solving, innovative thinking, and emotional intelligence can help students develop these essential skills. By emphasising soft skills, universities can ensure that their graduates are well-rounded individuals who can navigate the complexities of the modern workplace.

  • Promoting Experiential Learning Opportunities

Experiential learning opportunities, such as internships, co-ops, and service-learning projects, are crucial for students to gain practical experience and apply their academic knowledge in real-world contexts. Universities should actively promote and facilitate these opportunities, providing students with hands-on experiences that enhance their learning and professional development. 

Collaborations with local businesses, non-profits, and community organisations can offer students diverse experiential learning options. These experiences prepare students for their future careers and foster a deeper understanding of their field of study.

Examples of Successful Integration of AI in Higher Education

Public universities in Singapore, including the National University of Singapore (NUS), Nanyang Technological University (NTU), and Singapore Management University (SMU), have adopted AI technologies to enhance teaching methodologies, promote innovation, and cater to the diverse learning needs of students.​

National University of Singapore (NUS)

Image credit: NUS website

The National University of Singapore (NUS) is a prominent global institution emphasising research and technological innovation. NUS has made significant strides in integrating AI into its educational framework to enhance learning outcomes and administrative efficiency.

NUS established the NUS Artificial Intelligence Institute (NAII) in March 2024 to centralise AI research and its applications across various domains, including education. The institute aims to harness AI for the public good and tackle societal challenges. NUS has also implemented AI in its Smart Learning initiative, incorporating AI-powered tools to provide personalised learning experiences tailored to individual student needs. The university also launched the Centre on AI Technology for Humankind (AiTH), focusing on AI’s ethical and societal implications and fostering AI literacy among students and faculty​.

Nanyang Technological University (NTU)

Image Credit: Alizila 

Nanyang Technological University (NTU) is a leading research-intensive university in Singapore, well-regarded for its focus on technological advancements and innovation.

NTU implemented AI-driven student support systems, including AI chatbots and virtual assistants, to provide personalised academic advising and mental health support. The NTU Academic Profile System (APS) uses AI to analyse student data, helping students plan their courses, monitor progress, and receive timely interventions. These AI tools ensure that students receive real-time assistance and personalised advice, enhancing their academic and overall university experience​​.

Singapore Management University (SMU)

Image Credit: SMU 

Singapore Management University (SMU) is known for its interactive pedagogy and strong connections with the industry. Its aim is to prepare students for the dynamic job market.

SMU partnered with JobTech, a local AI company, to implement an AI-powered career services platform. This platform analyses job market trends and student profiles to offer personalised career advice, job recommendations, and skill gap analyses. SMU also employs AI to optimise class scheduling and resource allocation, ensuring efficient use of facilities and meeting the needs of both students and faculty​.

Lessons Learned and Best Practices

  • Personalisation: Personalised learning and support through AI significantly enhance student engagement and academic success.
  • Efficiency: AI can streamline administrative tasks, reduce workload, and improve fairness and efficiency.
  • Training: Adequate faculty and staff training is essential to integrate AI tools into educational practices effectively.
  • Ethics: Robust data privacy measures and ethical guidelines are crucial to address concerns associated with AI use.
  • Accessibility: Ensuring equal access to AI technologies is vital to prevent inequality exacerbation.
  • Collaboration: Partnerships with industry and interdisciplinary research initiatives drive innovation and practical applications of AI in education.

The Future of AI in Higher Education

The future of AI in higher education holds immense promise, with the potential to revolutionise how universities operate and deliver education. AI technologies can personalise learning experiences, enhance administrative efficiency, and provide students access to global resources and expertise. As seen in the successful case studies from Singaporean universities, AI integration can significantly improve student engagement, academic performance, and operational effectiveness.

However, the journey toward fully realising AI’s benefits in higher education is not without its challenges. Ethical considerations such as data privacy, equity, and maintaining the human touch in education must be carefully addressed. Universities must balance leveraging AI for efficiency and ensuring that the core values of education—human interaction, mentorship, and support—are preserved.

By taking these proactive steps, universities can harness the power of AI to create a dynamic, engaging, and efficient educational environment. Integrating AI in higher education is not just about adopting new technologies; it is about reimagining the future of education and preparing students for a rapidly evolving world. Through thoughtful and strategic adaptation, universities can ensure that they remain at the forefront of educational innovation and continue to provide high-quality education that meets the needs of the 21st-century learner.

As a result of the COVID-19 lockdowns, education institutions across the globe have faced a myriad of challenges, including the move to distance learning and finding new ways to support pupils. Students have also had to adapt with the support of an in-person learning environment

Now that some educational institutions are emerging from the pandemic, it will be important not just to address short term needs but also to identify innovations that can be adopted to improve student learning in the long run.

This piece explores three key challenges to address in the short term but also considers the long-term implications of what these new changes may bring. The 3 themes we’ll be looking at are:

  1. The role of a “classroom” and going beyond physical spaces
  2. Rethinking the way we share knowledge
  3. Addressing current inequalities and what educators can do to ensure the future success of students

Where is the classroom?

Short-term trends

As governments and educational institutions make decisions on when and how to reopen schools, health and safety is naturally front of mind. Some schools have opened with strict checking procedures in place. In Shanghai, for instance, students are required to enter the school building via a thermal scanner and there are multiple posters in place highlighting the measures in place to tackle coronavirus. In other schools, remote learning is still continuing as only limited numbers of pupils return. Schools in New South Wales, Australia, for example, have re-opened but are only allowing students to attend one day a week on a staggered basis. Whatever the approach, the priority continues to be safeguarding people’s wellbeing and schools will observe and learn from countries that are practicing safe re-opening procedures.

Long-term trends

However, the COVID crisis has also demonstrated that classrooms are not the only places where education can take place. The pandemic has highlighted that learning can take place at any time, anywhere and in any way. It’s clear that the opportunities offered by digital capabilities will go well beyond its temporarily use during the crisis.

Technology can enable teachers and students to access massive amounts of digital resources, most of which are free to use. Examples from other countries have also shown that the delivery of information through various means – TV, online, mobile – can work to help engage students. What’s more, AI and digital technology are now able to capture data to measure students’ progress so that learning can be adjusted based on ongoing assessments rather than through high stakes exams.

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Rethinking Knowledge Sharing

Short-term trends

Just as students are adjusting to distance learning, most teachers are also new to teaching online and have had to quickly adapt their lessons to an online format that keeps pupils engaged.

But teachers don’t just need the technological tools to facilitate online learning. They need resources to help enhance their teaching practice. A number of initiatives have sprung up around the world to facilitate this. In South Korea, the Education and Research Information Service offers an online platform to facilitate the sharing of materials created by teachers and in the United Arab Emirates, the Ministry of Education invited over 40,000 teachers to take part in a ‘Be an online tutor in 24 hours’ course. Global organizations such as the Khan Academy, TEDed, Google Arts & Culture are also continually providing relevant education resources for students and teachers.

Long-term trends

In the long-term, we may see a new form of teaching emerging. In a world where students can access to knowledge through a few clicks, educators will need to review and potentially redefine their role in the classroom.

The emphasis should be not only on the delivery of content but also on generating engagement. Educators need to learn to create a positive experience within a digital context – one that is more interactive and engaging. One organisation leading the way on this is Singapore’s SIT University, which has created training materials for lecturers to provide online learning. The topics covered how to create narrated slides, how to run effective live streaming classes, how to design alternative assessments, and the use of online proctoring tools for assessments.

Addressing current inequalities and what educators can do to ensure the future success of students

Short-term trends

While technology has helped many students continue their education at home, data from UNESCO has found that in other ways, it has exacerbated the digital divide. Half of all students do not have access to a computer and more than 40% have no internet access at home.

Students living in rural areas, low-income households, students with special needs and those living in less developed areas face issues with a lack of resources including not having the technology needed for remote learning.

Governments, private companies, and educational institutions need to be able to work in partnership to ensure that needs of all students are met. Success stories from around the world can provide inspiration. In France, the University of Strasbourg identified students whose lack of resources jeopardised their ability to continue their education, setting up an Emergency Fund and distributing more than a hundred computers to students in need. China offered mobile data packages, telecom subsidies and repurposed some of the state-run television channel to air lesson plans for K–12 education in remote regions. Italy put together an €85 million Euro package to support distance learning for 8.5 million students and improve connectivity in isolated areas.

Long-term trends

While COVID-19 has fast-tracked the need to acquire digital skills, we also cannot forget the education students will need to prepare them for the workplace of the future.  

As a result of the pandemic, the demand for certain jobs and specialities will decline, whilst otherareas come to the fore. Educational institutions need to be flexible enough to adapt their curriculum and resources to meet students’ and workforces’ changing needs.

There will continue to be a need to train people in emerging digital skills but learners will also need “non-automatable” skills. According to the World Economic Forum’s Future of Jobs Survey, “a wide range of occupations will require a higher degree of cognitive abilities — such as creativity, logical reasoning and problem sensitivity — as part of their core skill set.” Institutions who more readily recognise and adapt their curriculum and resources to meet these needs are more likely to thrive moving forwards.