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The technology revolution has impacted nearly every aspect of our lives. The widespread access to smartphones and the internet has influenced how billions connect, interact, and perceive the world around them. The digital shift also brought a profound transformation in the education sector, enhancing the learning and teaching experiences.
The Covid-19 pandemic accelerated the trend as schools, colleges, and universities were forced to close. Teachers and students turned to technology to bridge the communication gap, ensuring a continuous learning process. Online learning is one of the critical aspects of how EduTech has brought a fundamental change in classroom trends. Explore how digital transformation impacts the education systems with emerging technology trends, digital tools, and strategies.
Digital transformation in education is the process of leveraging digital technologies to enhance the learning and teaching experiences. EduTech involves digitizing administrative and learning processes while simplifying the workloads of mentors, alumni, and school management. It focuses on:
The process involves rewiring structures and academic models to create a more technology-driven education system. Educational innovation is an opportunity to address challenges students face, such as struggling to stay engaged in a world increasingly dominated by the digital world. By utilizing new approaches and tools, educational institutions can improve the quality of learning outcomes and make education more accessible to a broader range of learners.
Education accounts for more than 6% of the world’s GDP and is one of the leading industries driving economic growth. The total global spending on education and learning by the government, educational businesses, and customers is anticipated to reach $7.3T by 2025. Spending on Edtech is forecasted to grow from $227B in 2020 to $404B by 2025, with an upswing in expenditures on digital tools, infrastructure, and automated systems.
Digital transformation in education occurs on three levels - individuals, educational community, and regions. Modernization of traditional classrooms and the upgradation of existing educational and administrative methods facilitate an uninterrupted transfer of knowledge, enable adaptability, and ensure constant connection across various points in the education system.
Digital transformation in higher education introduces various learning approaches that encourage active participation and allow students to interact directly with course materials and assignments. Features like text-to-speech functionality remove obstacles to learning, ensuring that education is more inclusive and available to all learners regardless of their physical abilities.
Education institutes have gained a lot through digital transformation, whether by enhancing students' learning journeys or automating repetitive administrative processes. Discover the critical areas where digitization has brought higher impact, simplifying the digital learning and administrative process.
Schools and universities can eliminate the time-consuming student enrollment by using a unified digital education system. This system helps students and school administrators avoid the hassle of tedious paperwork. Students no longer need to stand in long queues to submit and check their application status. Applying and enrolling are done online without visiting the campus.
The introduction of technology in education has made managing students’ documents, attendance, and class schedules easy. It improves productivity, simplifies student management, and reduces the chances of human errors. Digital transformation has shifted the focus of teachers, counselors, and administrators from repetitive, mundane tasks to core job functions. As a result, they can allot more time to each student and help them learn faster.
Outdated infrastructure in educational institutions is one of the reasons that educators and students struggle for seamless interactivity and real-time information exchange. Modernization and digital transformation efforts in education improve operational efficiency and knowledge delivery without disruption. The introduction of live coaching through virtual classrooms, self-paced courses, and hybrid EdTech models has resulted in a surge in the student retention rate.
Digitization has many benefits for students, including faster access to study materials, tests, and grades for self-performance evaluation. Online learning or eLearning systems allow learners to attend tests online, submit papers, check instant scores, and track attendance. Evaluating performance and finding ways to improve it has become easy for them through digital platforms as the results are measurable.
Mapping out the areas of the technology modernization roadmap is necessary to ensure a successful digital transformation. The key technology trends and tools enabling digital transformation in education include:
Personalized learning has been the most critical aspect of the EdTech revolution, and AI plays a significant role in accomplishing it. Instead of fitting every student into the same box, schools and colleges have realized the value of providing customized lessons and courses to students based on their capabilities, strengths, and weaknesses.
Educational institutions use AI to analyze students' skill levels and progress and curate personalized learning programs and automated curricula. AI-enabled assessments highlight topics that need attention and help students improve their performance scores, reducing the risk of failures.
Machine learning leverages algorithms to enable machines to learn from data patterns resembling human-like intelligence. The education sector employs ML to address numerous issues, from automating repetitive administrative processes to accurately assessing student performance.
ML algorithms combined with advanced predictive analytics assist educators and administrators through study guides, forecast enrollment numbers, identification of students at risk of expulsion, and many more. Adopting ML frees up valuable time for the teaching staff, which can be dedicated to enhancing the student's learning process.
Interactive learning is the fundamental base for digital transformation in education to boost student engagement. Gamification helps achieve this by integrating fun gaming elements into the online learning modules. Online games and quizzes strengthen the cognitive abilities of the learners.
Through interactive games, they can acquire problem-solving skills and valuable knowledge. Although gamification is centered around entertainment, it encourages students to engage with others, set and achieve goals, and gain instant feedback on correcting mistakes. It provides all-around skill development for learners.
Incorporating the IoT into the school environment in the age of “smart devices” helps students and educators connect in a completely new way. IoT holds the potential to transform both learning and teaching experiences. Education campuses can improve security, track attendance, and enable real-time communication. The increased use of smartphones enhances the connectivity between educational organizations and parents, alerting them to security.
The cloud provides students access to knowledge from anywhere, anytime. The pandemic accelerated the adoption of cloud applications, prompting schools and colleges to move their courses and operations online. The cloud platforms enabled them to host lectures, post videos, and conduct examinations for students. Cloud-based remote learning helps the learners keep pace with the course without meeting their teachers in person. They can even submit assignments, track syllabus, and evaluate progress.
The concept of smart classes involves incorporating student engagement techniques through interactive content. Unlike blackboard learning in traditional classrooms, digital technology enables students to learn by watching videos or media content. Smart boards, steady internet connectivity, computers, video conferencing tools, and projectors make knowledge and study materials available and accessible in real time, enhancing the students' learning outcomes. Conducting assessments is no longer a challenge for schools, colleges, and universities. Integrating webcams into online exam portals ensures a smooth and fair examination process by monitoring students' activities during the exam.
The digital transformation wave has been successful in empowering learners, educators, and administrators across a large number of educational institutions. Adopting a holistic approach and selecting the right technology has resulted in the development of the following user-friendly and successful digital systems.
Arizona State University has integrated Amazon Echo Dot devices across its campus and student housing to serve as voice-activated information hubs. These smart speakers offer students, faculty, staff, and alumni quick access to university-related information through simple voice commands. The initiative aims to enhance the campus experience by providing a convenient way to access important details about ASU services, events, and resources.
Google Expedition is an educational app featuring 1000 virtual reality and 100 augmented reality tours. The app allowed teachers and students to explore diverse environments virtually, from art galleries and museums to underwater scenes and outer space. Google is now transferring these immersive tours to its Google Arts & Culture platform, making them accessible to a broader audience beyond the classroom setting.
It is a leading service provider of K-12 education technology, offering innovative learning solutions and curriculum for K-12 schools. Their flagship product, MATHia, is an AI-powered math learning platform that provides personalized tutoring for each student. The system continuously adapts to individual learning patterns, providing tailored instruction and practice problems to optimize comprehension and skill development in mathematics.
A digital transformation is a journey of change that inevitably encounters obstacles along the way. As the education industry ventures on its transformative path, addressing and acknowledging the potential challenges is crucial. The key challenges in integrating technology for digital transformation in education are:
Digital Divide: Socioeconomic disparities and lack of steady internet connectivity create a digital divide, limiting access to opportunities and worsening educational disparities.
Lack of digital literacy: A lack of proper digital skills and literacy among teachers and students in effectively utilizing digital tools in teaching and learning further deepens the skill gap.
Limited resources: Resource allocation and financial investment constraints sometimes hinder the proper implementation of digital transformation approaches in many schools or colleges.
Lack of awareness: According to a McKinsey survey on leveraging technology to shape learning, limited familiarity among educators and learners is one of the key reasons for the lower adoption rate of online learning tools in higher education institutions.
Data Security & Protection: Technological adoption in education brings inherent risks. To mitigate these, organizations must implement robust cyber security measures and clear technology usage policies, safeguarding student data and encouraging a secure, responsible learning environment.
Navigating the path to a digital transformation in education remains a serious concern for educational institutions. Five components define how far you can go, how well you can do, and what you can achieve - leaders, partners, training, upgrading, and measuring success.
Digital transformation in education and other sectors relies on leaders guiding them to the digital world. They help organizations set transformative goals, distribute roles, and select digital tools to integrate into the existing infrastructure.
Choosing the right partner with years of expertise in the educational domain ensures the successful delivery of digital solutions that align with your goals and values.
Digital leaders or partners with whom you collaborate should be able to train your staff on using digital tools. While some educators can be tech-savvy, others might need to upgrade their skills to get familiar with educational technologies and adapt to online teaching courses.
Digitization in education is an approach that empowers academic organizations to upgrade their existing systems and also integrate new ones consistently. Adopting new digital educational models and letting go of outdated and ineffective methods enables an institution to transform successfully.
Assessing student engagement, digital adoption rate, and educators' satisfaction with digital tools is critical to measuring success. These evaluations help understand technology's impact and plan new strategies for integrating tech solutions into the system.
As digital adoption in education continues to evolve, technological innovation and trends are redefining students' overall learning experience and educators' teaching experience. The future of education focuses heavily on socio-emotional learning, gamification, and microlearning.
The growing adoption of digital learning models and platforms will provide more accessibility, flexibility, and learning opportunities. Combining traditional classroom learning with online systems is also expected in the future, facilitating collaborative learning. Integrating trending technologies such as AI, ML, AR/VR, data analytics, and cloud transforms teaching with personalized learning, visualization of complex concepts, and easy identification of students' strengths and weaknesses. Technology transformation enables teachers to provide students with an engaging and immersive online learning experience, preparing them for the future.
The significance of digital transformation in education was underestimated until the Covid-19 pandemic. Since 2020, educational organizations have prioritized technology adoption and digitalization of education processes. The shift towards a tech-driven modern education system has a measurable impact on students' progress, increasing their willingness to learn.
It also simplifies administrative operations, enhancing accuracy and efficiency. EduTech transformation is inevitable and will soon involve every institution worldwide. It would enable broader and inclusive opportunities, distance learning, better teaching experiences, and enhanced student engagement.
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Extract Actionable Insights from Raw Data using Power BI
In today's data-driven world, businesses generate raw data every day. However, only raw data is not enough to generate actionable insights that can be used to make strategic decisions. Microsoft Power BI is a Business intelligence tool that converts raw data into valuable insights.The Power of Data: Why Insights MatterBoth extracted oil and newly generated data make sense and its true value is only revealed after it has been refined. The refinement process enables businesses to turn raw data into insights that can inform decisions, forecast trends, and optimize operations. Businesses may lose the opportunity to benefit from data unless they are equipped with the right tools and strategies.Overview of Power BIMicrosoft Power BI is a business Intelligence tool which enables organizations to generate actionable insights by data analysis. Here Power BI can connect to various types of data sources, e.g. databases, flat files, spreadsheets, and cloud-based or on-premises data warehouses, which allows businesses to analyze and visualize data in the real time.The Process for Generating Actionable Insights using Power BI:Data Collection and ConnectionThis is the first step, where Power BI connects to various data sources, including databases, flat files, and cloud data stores like AWS and Azure. This seamless connectivity across multiple sources allows businesses to manage and derive insights from a centralized location, making the entire process more efficient.Data Cleaning and TransformationAfter collecting the data, the next step is to clean and transform it. The power query editor comes with Power BI by default which is a User-friendly interface that simplifies data transformation tasks, including filtering, sorting, managing datatypes, handling nulls and removing duplicates. The main objective of this step is to maintain data quality on the report side, which is the key to obtaining trustworthy insights.Data ModellingThe modelling section on the Power BI desktop allows to create the models and helps to manage relationships between different datasets. Data modelling involves organizing data to make it easier to explore and analyze. Power BI provides multiple options like Many-to-Many, One-to-Many, and One-to-One cross-functional joining and active-inactive relations. It also allows users to select the direction of data flow, this combination is an added advantage when need to work with large datasets and have multiple dependencies.Data VisualizationAfter modelling, the next step is visualization. Power BI has many prebuilt visuals, from bar charts to complex heat maps, and also supports custom visuals which is again an added advantage. These visualizations present insights and aggregated values in various formats, allowing business stakeholders to quickly grasp key insights.Dashboards and ReportsPower BI allows to produce of interactive dashboards and paginated reports that give a complete view of business. These customizable dashboards support scale options, with the capability to drill down into details as demanded by subcaste. Power BI reports' interactivity empowers druggies to explore data from multiple angles, revealing retired patterns and trends.Interactive Dashboards and ReportsPower BI allows to produce of interactive dashboards and paginated reports that give a complete view of business. These customizable dashboards support scale options, with the capability to drill down into details as demanded by subcaste. The interactivity of Power BI reports enables druggies to explore data from different angles, uncovering retired patterns and trends.Real-World Applications: Case StudiesRetail IndustriesA large retail company encountered difficulties in monitoring its sales performance across multiple locations and product line. Apart from this, they are lagging in optimizing the operations, where integration of Power BI Reports helps to grab data from various sources and summarize it for the business users. Power BI enabled the company to clean and transform data at no extra cost and provided real-time insights about sales performance, present stock levels, and transportation details. Apart from that by understanding top-selling products, identifying underperforming regions, and tracking sales trends over time metrics, the company can make data-driven decisions, such as marketing strategies, and maintain inventory levels, resulting in a significant increase in sales and customer satisfaction.Insurance CompanyAn Insurance Provider needs to improve their customer service and operational efficiency by analyzing the vast amounts of data. A company faces difficulties due to the volume of the data while identifying trends and areas of problem. Here Power BI can connect and consolidate customer service calls, requests, and maintenance records from various sources, including CRM systems, service databases, and maintenance logs.With Power BI’s data modelling features, the company created relationships between customer demographics, service request types, response times, and service outcomes. This allowed them to gain a holistic view of operations and customer interactions including customer service performance, identifying patterns in service delays, recurring maintenance issues, and customer satisfaction levels.Conclusion: Empowering Businesses with Data-Driven InsightsPower BI's intuitive interface, advanced data processing features, and diverse visualization options make it a critical asset for organizations aiming to leverage their data effectively. By utilizing Power BI, businesses can transform their data into a strategic advantage, facilitating smarter decision-making and driving overall success.
How to choose the right Machine Learning Algorithm?
When considering machine learning algorithms, you will find there is no particular solution or one approach that fits all. There are numerous factors that can affect your decision to choose an ML algorithm.Some problems are very explicit and require a unique approach. For instance, if you look at a recommendation system, it’s a very common type of machine learning algorithm and solves a very exact kind of problem. While some other problems are open and need a trial and error approach such as supervised learning, classification and regression. They could be used in anomaly detection or could be incorporated to build more universal sets of predictive models.Further, some of the decisions that we make when choosing an ML algorithm have less to do with the optimization of the algorithm but more to do with business decisions. Here we compiled some of the factors that can help you narrow down the search for your machine learning algorithm.Understanding the DataThe type and kind of data play a vital role in determining which algorithm to practice. Some algorithms can work with smaller sample sets while others require tons of samples. Few algorithms work with certain types of data sets e.g. Naïve Bayes works well with definite input but doesn’t respond to missing data.Recognize your constraints• Check data storage capacity in order to store gigabytes of classification or gigabytes of data to the cluster.• In real-time applications, it is obviously very important to have a swift prediction• Data learning have to be fast in order to rapidly update your model with a different dataset.Identify the available algorithmsOnce you understand where you stand, you can identify the algorithms that are applicable and tangible to implement. Some of the elements persuading the choice of a model are:• Whether the model meets the goal of the business• The accuracy of the model• How reasonable the model is• Performance and time it can take to build a model to make the right predictions.• Scalability of the modelLogistic RegressionLogistic regression provides a probabilistic framework to receive more training data in the future that you want to be able to quickly incorporate into your model. Logistic regression can also help you comprehend the contributing factors behind the prediction.Decision treesDecision trees can easily handle feature interactions and they’re non-parametric, so you don’t have to worry about outliers. One drawback is that they don’t support online learning, so you have to rebuild your tree when new examples come up.Support Vector MachineSupport Vector Machine is a supervised ML technique that is broadly used in pattern recognition and classification problems.Naive BayesNaive Bayes is known to outperform even highly sophisticated classification methods and used for very large data sets.Neural networksIt is used to predict the class by establishing a link between neurons. With Neural networks, extremely complex models can be trained and utilized to perform unsupervised learning tasks, such as feature extraction from raw images or speech with much less human intervention.It is difficult to shortlist at first which algorithm will work best. Being able to combine and balance to solve a machine-driven problem is crucial and those who can do this add the most value. So consider all the points above to develop the right solution and at the end assess the performance of the algorithms to select the best one.
Are PWA’s Replacing Native Mobile Apps?
A Progressive Web App is a set of best practices that together create a seamless user experience between a web application and a native mobile app. A user can download and install a PWA through their browser and enjoy the application’s functionality and features offline, from any of their devices.web application, Progressive Web Applications were created to help users cope with problems such as slow Internet speed, website load times, high friction among users, and low user engagement. Progressive Web Apps have several features that help alleviate these problems:Progressive Web Apps are fast: The data stored in the app is cached, so there is no need to rely on a network when starting up or engaging with the app. 53% of users abandon a site if it takes longer than three seconds to load, so ensuring efficient load times is crucial to a positive user experience.Progressive Web Apps are integrated: PWAs live on a user’s home screen, send push notifications, and integrate with a device’s other native apps. For example, Twitter Lite was developed as a PWA and experienced a 75 % increase in tweets sent.Progressive Web Apps are reliable: Service workers use PWA’s to effectively troubleshoot any problems, regardless of the network connection. This enables them to work more efficiently and confidently.Progressive Web Apps are engaging: Through push notifications, companies can keep users engaged on and offline by sending information, calling-to-action a specific ask, or updating the user on new features.Because of the advantageous attributes listed above, the entire user experience is immersive and fluid.Why Build a Progressive Web App?Beyond the features listed above, developing a Progressive Web App is an important consideration for any business to grow and engage with their customers in the future. It used to be that developing a native app and/or a responsive website was enough to get by. In 2019, PWA’s are a hybrid of both, and offer plenty of benefits to the organization and to the end user. Below are three of the benefits of developing and integrating a PWA:Progressive Web Apps are easily discoverable: Because search engines index PWAs as a website, a variety of layers within the PWA are indexed and discoverable as their own component parts. This greatly increases SEO readability and the chances of your PWA being searched and found online.Progressive Web Apps don’t require tedious manual updates: Because PWAs don’t live on an app store or require installation, updates to the information and functionality of them are simply published and the user has immediate access to the new information. This functionality also tremendously helps out businesses and their user acquisition strategies, as there are less barriers between their users and the offering.Progressive Web Apps save on data usage with offline functionality: In markets with expensive and/or slow internet access, offline functionality can be extremely important to an end user. Inefficient apps can also be detrimental to your battery life and overall functionality of your experience. Therefore, the ability to get value out of a PWA without having to use data or rely on a network connection is one reason why they are the future of businesses everywhere.These three advantages are only a few on a long list of ways that PWA’s are changing organizations and their strategies for engaging and interacting with their users.Why Will Progressive Web Apps Replace Native Apps?Although native apps still dominate the online landscape, PWAs may soon replace native apps as the top priority in connecting with users. Because mobile-first development is the way of the future, having a PWA to ensure the speed, reliability and functionality of an experience will be important in staying relevant and top-of-mind in the mobile app world.There isn’t much information out there that contradicts the ideas in this article that prove Progressive Web Apps are the future of business. Their lean and efficient abilities are most appealing when compared to traditional native apps or websites. It will likely be years before PWAs completely replace native apps, but the smart investment is to start thinking about how you use them to better engage with your audience and introduce yourself to new ones.At Sun Dew Solutions, developing progressive web apps are a strength of ours in which we take great pride. If you’d like to learn more about how we can help through our mobile app development services, please contact us at +91-98367-81929.
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