Personalized Learning: 4 Key Takeaways from SHAPE Education Event

Personalized Learning: 4 Key Takeaways from SHAPE Education Event

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On 1 March 2022, our CEO Vivek Agarwal participated in a session on What do you mean ‘personalised learning’? that explored the value personalization can bring to learning, both in terms of an individual’s learning journey and on education as a whole.

SHAPE Education, a joint initiative from Cambridge University Press and Cambridge Business School, organized it as part of its series of bite-size SHAPE Live events spotlighting key challenges and opportunities in the EdTech sector. Rosina Dorelli, founder and director of DaVinci Life Skills, a Cambridge-based organization, was the other speaker who spoke at this event.

Here’s a quick recap of four key takeaways from this event

1. Extensive data analysis with a combination of data points is key

Advanced and systematic data collection techniques through AI have enabled faster dissemination of insights. However, the biggest challenge is gauging what the learner wants to do, which isn’t always easy. Liqvid uses extensive statistics – deep math, linear equations, clustering – to create forecasting for personalization of the learning paths. Extensive data analysis is going to be the key.

2. Learning has an emotional tangent

Decision-making is not all raw data; it’s also cognitive. Vivek recalled the example of his daughter picking up things quickly when she’s more inclined or in a good mood. Emotions clearly play a big part. The eLearning design must factor in that.

3. Curriculum must be a mix of tech and socio-emotional attributes

The one-size-fits-all model doesn’t work. The question is, does our current education system really prepare students with all the skills that they need in life? DaVinci Life Skills is building a showcase model for the future of education based on Biophilic design, which focuses on educating learners creatively, ethically, and sustainably.

4. Dictatorship in education must go

There is a lot of dictatorship in education right now. The question is, what is enough for personalization – give the learners what we think is best for them or entrust them with a sense of control over their learning? Rosina feels a sense of self-motivation is very important. Vivek gave an interesting example of a project where they are leveraging technology to personalize learning by giving students different sets of automated questions for home assignments based on the assessment done by teachers.

Poll Results and Audience Questions

Earlier in the event, a poll was conducted to ask the attendees which types of data they think are most important for personalizing learning. Just over a quarter of respondents picked previous learning, interests, and preferences, followed by confidence scores/self-evaluation as important data points for personalizing learning.

Vivek and Rosina shared their perspectives on a range of interesting questions. Here are two that stood out to us:

Why are some learners are more engaged than others?

To the question of whether there is evidence of the data suggesting why some learners are more engaged than others, Vivek shared Liqvid’s approach, which is to look at the course usage patterns, create a hypothesis, and test it on data. Once the pilot is successful, we expand the data pool and based on the feedback, deploy solutions at scale. So, there is plenty of evidence for achieving a learning model with a high level of engagement.

Should the learners be given what they prefer, or should it be what they need?

Rosina feels completely democratizing learning for students right now won’t be the right way as it’d create a lot of pressure on students as well as teachers. She believes schools must allow students to fail so and then get back up again to achieve that sense of self-achievement.

Summing up

The event concluded with the question on the problem that both speakers haven’t been able to solve yet and what help they would need in order to do so. Rosina said her priority is the model of teacher training they are pursuing right now to empower students to create their own learning objectives for effective personalized learning while, Vivek says the next big challenge would obviously be ensuring how each learner can leverage technology to learn the way they like!

Watch the complete recording for more insights!

BONUS READ: Why is personalized learning so critical today, and how does AI help create personalized learning experiences.

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How is AI Transforming eLearning Beyond the Usual Suspects – Personalized and Language Learning?

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Artificial intelligence (AI) has become a staple not only in cloud computing but in eLearning, too. The reasons are obvious – it can be trained on several functions, saves time and money, build more efficient learning, and provide a deeper level of personalization for learners. Even the numbers back it – per a research report, the AI market is forecasted to reach $190.61 billion by 2025, out of which the eLearning market will surpass $6 billion by 2024! 

But beyond the usual suspects of personalized learning and language learning, AI has a lot to offer in the eLearning industry. Let’s explore other areas where AI is revolutionizing eLearning.

1. Content Analytics

AI-driven content analytics significantly optimizes learning solutions for off-the-shelf eLearning content providers and digital learning content publishers. Leveraging the “what works and what doesn’t” information, they can proactively build course catalogs to address the market demands and learners’ challenges. For educators and course creators, AI helps not just create and manage their eLearning content, but also gain important insights into learner progress and understanding through powerful data sets and models.

2. Virtual Facilitators

AI will, one day, replace an actual instructor with a robot. We already see virtual human mentors and facilitators that can think and act like humans. AI makes it possible via the “touchless technology” or “gesture recognition technology,” which lends human-like abilities to these virtual facilitators to respond or act naturally on verbal and nonverbal cues. Future smart learning environments and platforms will increasingly use AI to create realistic virtual characters and social interactions through augmented reality. Virtual facilitators could be strategically used to optimize human instructors’ time and involvement in the teaching or training process.

3. Intelligent Tutors

They sound the same as virtual facilitators, but they aren’t. AI is increasingly being used in eLearning to tutor a learner based on their difficulties beyond just condensing a lecture into flashcards and smart study guides. For instance, “SHERLOCK,” an intelligent tutoring system, is being used to teach air force technicians to diagnose electrical system problems in aircraft. UCLA has developed intelligent tutoring systems – avatar-based training modules – to train military personnel. In the future, these tutors will be able to help learners with anything and can also adapt to a wide variety of learning styles.

4. Course Creation

Using AI in eLearning will make the complete course creation process simpler and faster. For instance, AI can help in automatic translation and localization to offer more speed and efficiency by developing multi-language content for global companies, or for remote teams that speak different languages.

5. Chatbots and Virtual Assistants

With AI, educators can perform assessments faster and process inquiries in real-time to accelerate the learning process and enhance engagement. The best example is that of a chatbot or a virtual assistant, which can “decide” what question to ask learners based on their previous answers and jump to a higher level when the learners consistently enter the correct answers. Chatbots and virtual assistants can help both learners and instructors by answering questions that might otherwise have been sent directly to the instructor, or by helping students navigate course material in a friendlier way.

6. Accessibility Experiences

It’s perhaps the most important capability of AI, but less talked about. AI is revolutionizing the accessibility experiences for learners. For instance, Microsoft developed a free app called “Seeing AI” to leverage the power of AI to narrate to the blind by reading text, recognizing products, describing scenes, currencies, and the person standing in front of you, including their emotions. When more content creators add such apps to their learning courses, it will automatically increase collaboration and facilitate social learning. And not just blind; AI can also act as a virtual assistant responding to voice commands, to individuals who deal with mobility issues.

Paving New Pathways

The EdTech industry has seen solutions with AI components in the last few years. However, the adoption has been slow and unmatched to its boundless potential. The AI tools used in the education sector positively affect students, teachers, and schools by improving the accessibility of quality education. We will continue to see it gain a foothold in all areas of digital learning.

AI can seem complicated, but it’s more accessible than you think. Liqvid can help you better understand the potential applications of AI within your unique business process and recommend ways to utilize this game-changing feature to ensure your training is engaging and successful. AI-powered learning is the future. Embrace it to make it your competitive advantage. Contact us!

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EdTech: Five Areas to Focus in 2022 and Beyond

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Venture capital in the EdTech industry has grown exponentially since 2010. It was $16.1 billion in 2020, but by 2022, the industry has attracted close to $50 billion in funding! And though all the regions are growing, Asia makes up 80% of all global VC dollars. It’s a reflection of the growing demand for disruptive technology in education.

The past two years accelerated the change the industry was already going through and we have much more to look forward to in 2022 and beyond. Here are the five areas to focus on:

1. AI-enabled adaptive learning

AI is already being used extensively in learning curriculums. 2022 will only see an acceleration of this trend to create effective personalized and interactive learning experiences, which can help resolve most of the challenges the industry is facing today. Leveraging dynamic AI, education providers can enable learners to take hyper-personalized journeys by interpreting the interests of each student and predicting their behavior to offer them the exact content that they need.

For instance, Singapore-based Vere360 uses AI and VR to offer quality education for social issues and skills development. The platform partners with several knowledge partners to build content easily accessible through a VR education app. Other examples include:

>> Smart Sparrow, whose adaptive learning platform adapts through modules and offers interactive quizzes and simulations.

>> IBM Research, in association with Skillsoft, launched an adaptive learning pilot program to offer adaptive data over user-content interactions, content relationships, and consumption patterns.

2. Gamification

Gamification isn’t new; it has been in use in classrooms and corporate board rooms for years with numerous hackathons and coding challenges. In 2022, however, gamification is bound to become a mainstay with the domination of the Metaverse. Most of the learners across the corporate world and students at all levels are digital natives and already have high expectations of digital applications. This year would see elements in the EdTech companies’ strategies, where learners can create their own content and collaborate. Even educators will use resources created by game designers, giving students sufficient challenges to keep them interested.

For instance, Brainscape has customized gamification through flashcards with an extensive list of topics, where learners can create their own cards or ask the program to make the cards for them. Another famous example is Duolingo – the language learning app, where lessons are grouped in skills, and they gradually teach you vocabulary and phrases. Learners can choose daily goals, and a notable element is their “Immersion area,” which lets you practice your language skills by translating texts in a special wiki-style, collaborative system.

3. Immersive learning with VR/AR

Virtual Reality (VR) and Augmented Reality (AR) technologies started in the gaming industry first before being adopted by the EdTech industry as an effective means of learning. The technologies help learners eliminate distractions and immerse themselves in their work. It’s also proven to be a very handy tool for students with ADD/ADHD. For instance, in 2022, teachers will increasingly use AR to teach students real-life lessons, like creating a tornado and bringing the funnel right into the classroom so students can experience these destructive storms close up.

Microsoft HoloLens has developed an interesting way to teach medical students and clinicians to interact and learn more about the human body using mixed reality. Learners can isolate, enlarge, and even walk inside the components of the human body to understand anatomy and learn how to treat different medical conditions.

4. Video-assisted learning

Videos – whether they are short or targeted clips – are huge already. And they have some proven benefits to different aspects of learners’ development and educational progress. 2022 will see more enhancements in video-assisted learning not just as a learning pedagogy but to enhance inclusivity and cultural awareness.

Teachers will use educational technologies, like whiteboards, to make their lessons varied, dynamic, and interactive. EdTech companies will increasingly use video clips or short videos to bring up a new discussion point in their courses, rather than just uploading videos on platforms for learners to watch later.

5. Learning flexibility 

2022 is also going to be the year for flexibility in learning. Technology has made our lives enriching and the same flexibility will come to learning content as well. In 2021, we spoke about the end of the 9-5 routine. Gone will be the days when there will be fixed one-or two-year academic programs. With the advent of more streamlined virtual learning tools and video conferencing, learners will be able to pursue education when, where, and at the pace that suits them best.

Higher and professional education is leveraging technology to break from the routine timelines. For instance, Birmingham Business School recently introduced its 100% online MBA program that can be completed in anything from two-and-a-half to five years. This flexibility also has a name – the hybrid-flexible model, or HyFlex, defined as simultaneously hybrid instruction (a combination of online and face-to-face), and flexible. Learners can choose to attend face-to-face or learn online.

While in 2022

2022 is an exciting year for EdTech, thanks to organizations and educators for leveraging a connected world and delivering media-rich, student-centric solutions to help learners across the globe. But as the methodologies become more accessible and interactive, technologies and expertise need to keep up with the learners’ growth aspirations. A reliable digital learning partner can help with that.

Liqvid has two decades of eLearning design and delivery experience across instructional design methodologies, content authoring tools, and learning management systems. We are the partner of choice for several reputed EdTech and extended enterprise training providers—helping them take their programs to market faster in the most efficient way. Our approach is to create personalized learning experiences for every user of the digital learning programs we deliver for our clients. We have developed hundreds of interactive templates, AI tools, and learning apps that enable our clients to hit the ground running in this fast-paced EdTech market. Contact us!

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Deliver Personalized Learning Experience with Artificial Intelligence

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It’s a boom time for personalized learning, which is driven largely by on-job skill development programs featuring real-time competency analysis and online courses. From students to corporate professionals, most of them favor personalized learning. Per an Industry ARC report, the global personalized learning market is estimated to surpass $2 billion by 2024, growing at an estimated rate of around 29% from 2018 to 2024. And artificial intelligence (AI) is a great enabler to this.

What is personalized learning?

Personalized learning is a teaching approach in which the pace of learning and the learning instructions are optimized for each learner. It leverages AI and machine learning to offer interactive content to the learners with real-time performance analysis. This results in modifications to course content and timelines for efficient learning.

Personalized learning challenges traditional teaching practices by implementing a model where learning by doing takes place. The learning progresses at the rate of learners’ learning ability. As a result, it’s beneficial for corporate learning to upskill resources efficiently and for students to enhance their job readiness.

Why is personalized learning so critical today?

Think about how we now shop or watch TV online; it’s all personalized content. It’s only a matter of time before the same principles can be translated into the learning space. Today’s learning institutes face a wide range of challenges – disengaged students, high dropout rates, and the ineffectiveness of a traditional “one-size-fits-all” approach to education. This is a major topic of conversation with constantly evolving technologies and the need to upskill employees even in the enterprise learning space.

AI, when used right, can create effective personalized learning experiences which can help resolve most of these challenges. Let’s see how.

1. Boosts Engagement

AI can predict outcomes, allowing learning providers to offer content specific to a learner’s past performance and individual goals. For example, if there are skill gaps observed when a learner is taking a course, the algorithms can send targeted recommendations to help them build on their knowledge.

2. Real-time information and feedback

With AI, learners get all the information related to online resources needed to fill gaps and feedback in real-time, which equates to less seat time and training payroll hours. Learners get the information they need quickly. Even the L&D admins and support staff spend less time analyzing metrics and reports and can instead focus on producing effective learning content.

3. Automate content scheduling and delivery

AI is designed to handle routine tasks so humans can focus on other priority tasks and look at the big picture. With AI, the learning platform itself can schedule coursework for the learners or deliver resources based on individual learner assessment results or simulations. This can help the learning providers to automatically predict course maps for each of their learners and readjust as needed.

4. Boost ROI

It’s a given – AI helps the learning providers boost their ROI. And why not? After all, less time spent in training combined with personalization results in better learning outcomes. AI-equipped learning platforms can track and forecast every move of each of the learners, allowing learning providers to launch online learning resources wherever and whenever needed.

5. Innovative learning strategies

AI combines data collection and machine learning to bring automated and personalized learning strategies to life. Here’s how:

i) It identifies skills gaps and suggests the best ways to close them.

ii) It helps providers collect better and more accurate data on how learning materials are impacting individual and business performance.

iii) It proactively supports learners by deploying virtual coaches for a proactive response to personalized learning and development.

iv) It can collect and interpret a vast amount of data, enabling learning providers to easily gather key insights.

Is AI the future of personalized learning?

Research is still ongoing; however, most of the data points to AI being touted as the future of personalized learning. Personalized learning involves giving learners control to choose their learning styles and access learning resources at their pace and convenience. So, essentially, through AI, learners get to choose their preferred learning paths.

There are some challenges ahead, though. The most crucial is to help learners understand and prepare for the new technology-based world and the many disruptive technologies that will change the way work is done. Learners must understand that there always will be some tasks that must be automated, paving the way for roles requiring creative, cognitive, and emotional intelligence skills.

A reliable digital learning company can make the personalized learning experience effortless and help organizations and learners adapt to the most recent and relevant digital learning content delivery methodologies and mediums. We at Liqvid have specialized in AI for English language training (ELT). We analyzed the personalized learning paths of over 1 million learners on our platform for developing our AI tools. Our tools for vocabulary building, automated essay scoring, voice recognition for fluency development, and analytics can assign different learning paths based on learning styles. You can learn more about these AI tools by clicking HERE.

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How is AI Upping the Game in Language Learning?

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$25.73 billion – that will be the size of the online language learning market by 2027, per Verified Market Research report. From $12.49 billion, this is equivalent to a CAGR of 10.2% from 2020 to 2027, which is huge! In Europe and the UK, respectively, 92% and 70% of students are enrolled in language classes, while those numbers are 20% and 13% in the US and China.

These stats make sense as the demand for language learning has been growing exponentially. Although it’s a challenge to learn a new language, especially once we’re past 18 years old, new technologies like artificial intelligence (AI) have made it a lot easier. AI makes language education accessible and free to everyone, and with a potent mix of personalized learning, immediate feedback, and gamification/rewards – fun as well.

Role of AI in Language Learning Experience

Discussions around AI are often centered on the idea of a humanoid robot. In reality, most AI applications have nothing to do with robots or replicating human cognition; instead, they leverage the vast computational capabilities of modern computers to solve problems in a much more effective way than a human can.

AI can make digital language learning personalized to each learner: reducing the time, cost, and frustration. And everyone can benefit. Enterprises can use AI-infused language learning solutions to upgrade employee skillsets. Learners can leverage the 24/7 accessibility of AI language learning to study anytime, anywhere. Even traditional schools can incorporate AI in English Language Training (ELT) and other language learning to expand their students’ horizons.

Let’s take a closer look at what benefits AI in learning can offer:

  • Adapting to individual needs

AI collects a lot of data. When analyzed, it acts as a powerful tool in the hands of educators to understand the interests and abilities of the learners and design effective programs. In a traditional classroom, it’s extremely challenging for an instructor to find the right approach for each student. But suppose AI is integrated into the learning process. In that case, learners can learn at their own pace, repeating lessons, emphasizing things they have trouble with, and engaging in tasks that appeal to them with the right cultural nuances.

  • Instant feedback

With the AI-powered language learning platform, learners don’t have to wait for someone to grade tests and come back to them; they can get instant feedback. AI can instantly point out errors and suggest ways to avoid them in the future, resulting in better performance. From the data, even instructors can see what can be improved in their lectures or practical assignments, what questions are misleading, and which learners need additional guidance.

  • Suitable for all kinds of learners

Some learners are introverts and are shy to ask questions or receive feedback publicly, per the common feedback from ELT classes. AI-infused English language learning software or other language platforms help such learners tremendously through objective one-on-one feedbacks without any biases or judgements.

  • A redefined role for instructors

Contrary to popular opinion, AI-based language learning platforms won’t take away the jobs of instructors. Instead, with AI language learning doing the grading and the paperwork, ELT and other language instructors will have more time to coordinate the learning process and mentor students. They can also don the hat of data scientists themselves and analyze and use the data to design innovative learning processes and experiences.

  • Deeper involvement of learners

With AI, learners can learn from anywhere at their own pace. Additionally, through innovative features like games, puzzles, or other exploratory activities, they will become more engaged in the learning process than traditional learning.   

Applications of AI in Language Learning

1. Vocabulary building: Advanced new machine learning models have made significant progress in teaching grammar, syntax, and other linguistic principles. A popular language learning app offers a skill tree of lessons that uses listening exercises, flashcards, and multiple-choice questions to build learners’ vocabulary. Yet another app has a feature called “Learn with Locals,” which pairs words with videos of native speakers saying the phrase out loud. Some apps also use data patterns to great effect with a concept called spaced repetition, where lessons are delivered over longer intervals by increasing the gap between practice sessions. This greatly aids in vocabulary building in contrast to the traditional methods of several lessons crammed in over a short period.

2. Voice recognition: Speech or voice recognition technologies can aid significantly in learning a new language as they help learners finetune their intonation and pronunciation. And practicing with an English language learning software or app, for that matter, can also take away some of the intimidation element of talking to a native speaker. For example, a multilingual app has a speech recognition feature that lets you speak words back during an exercise. Similarly, another language app tests your speaking skills with a simulated conversation – you’ll hear a prompt spoken by a native speaker and will also see the words and their translations on the screen.

3. Automated essay scoring (AES): This involves using specialized computer programs, such as Natural Language Programming (NLP), to assign grades to essays for evaluation processes. One such tool uses a machine learning model that learns from a set of responses previously determined by experts. The model takes into account syntactic, rhetorical, and concept features of a written piece. It also focuses on the sentence structure, elaboration technique, organization, and focus of the overall essay to give a final score. Another point to note here is that in the past, the digital applications were not able to provide feedback on spoken and written English. Today’s advanced AI models can recognize patterns in speech recognition and assessments to give personalized feedback.

4. Analytics: Most language learning apps and specially designed English language learning software use analytics to offer exceptional learning experiences. Some learners prefer to learn during the weekends while some would like to cram everything in their schedule on weekdays to leave their weekends free. Various learning apps AI algorithms can spot these patterns to deliver personalized learning lessons – whether it’s bite-size snackable videos or long text chunks.

The Future

Language skills remain essential to everyday life, whether it’s communicating with friends, family, or in a business context. Learning, in general, is also good for mental well-being as besides helping us connect with the wider world and other cultures, it’s an excellent booster for brain, self-esteem, and confidence.

Advancements in AI will only make learning languages better. Technology adds vibrancy to language learning that enables us to learn more quickly and easily than ever before. Today’s language learning apps’ proprietary machine learning algorithms mean there’s no need for language experts to spend a lot of time on the structure and order of teaching, leaving enough time for instructors to innovate and learners to learn effectively.

A reliable digital learning company can make the language learning experience effortless and help organizations and learners adapt to the most recent and relevant digital learning content delivery methodologies and mediums. Liqvid is a pioneer in English language learning technology and content solutions. We recently launched the world’s first AI-based language learning product called Vocabulary Builder for learners training for competitive English language exams like IELTS, TOFEL, GRE, etc.

Contact us today to see how we can create interactive language learning experiences for you!

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4 Technologies That Are Transforming eLearning

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  • GSK Vaccines launched a custom project as part of their global onboarding event to introduce new hires to the business structure via a simulation game – a mix of live role-play and digital eLearning elements, including news-style videos and an online player dashboard.
  • New hires at Toyota Motor Europe get an interactive video onboarding tour consisting of quizzes and videos to see the customer value chain from beginning to end.
  • Tesco’s annual mandatory compliance campaign – Learning Leap – combines mini eLearning modules with microlearning quizzes and a gamified leaderboard to drive participation.

There are countless examples like these, which underscore the importance of technology in eLearning content development today. Gone are those static screens with long winding text. eLearning is evolving at a rapid pace, part of which is driven by emerging technologies, the gig economy, and automation, rapidly changing the nature of work and resulting in a “skills gap.” To top it, the disruption of face-to-face learning due to the pandemic pushed eLearning content development to new highs.

Consider this – eLearning industry growth is projected to increase from $101 billion in 2019 to $370 billion by 2026. And the growing need for students and employees to keep up with changes serves well for the eLearning industry. It’s a win-win for all as effective eLearning content can contribute measurably to a well-trained staff who can steer an enterprise to measurable growth.

So, How Is Technology Shaping the Industry?

In 2020, 90% of companies used eLearning as a training tool, according to Corporate E-learning – Global Market Outlook (2017-2026) report. It’s only going to pick up the pace with the introduction of new gadgets, innovative tools for trainers, and cutting-edge equipment that have enabled new eLearning experiences. Here are just a few emerging technologies that have taken the eLearning world by storm.

1. Virtual Reality (VR) – It comes with the promise of enhanced engagement, improved retention, and experiential learning. For instance, American Airlines’ VR training solution allows its cabin crew to explore the aircraft at their own pace and includes several passenger scenarios and practical guidance on performing tasks when airborne. Or take the example of the construction equipment rental company, United Rentals, which leveraged VR training solutions in its classroom. The trainer asks everyone questions based on real-life job scenarios, such as safety concerns. This allows the entire group to learn and participate in the VR experience even when they are not wearing the headset.

2. Augmented Reality (AR) – AR goes one step above VR by offering a composite view, making the learning process more interesting and easier to grasp. Plus, its promise of affordability makes it prime for adaptation even by small and mid-size companies. You don’t have to look far than Pokemon Go to realize the power of AR and its use is widespread.

For example, Deakin University in Australia uses an AR app to teach students to perform ECG procedures. The app features a 3D model of a heart with normal and abnormal cardiogram patterns and blood flow simulation with built-in testing modules to check what students have learned. While German industrial giant Bosch has its own AR platform, displaying wiring and block diagrams that help service technicians and consumers repair cars.

3. Artificial Intelligence (AI) – AI tools are increasingly used to spot the difficult topics for students, identify students who need additional help, and produce personalized content plans at the click of a button. Many online learning platforms use AI to deliver tailored content to students without any human involvement. Many of these platforms also use spaced repetition learning systems and AI-powered chatbots to help with queries.

Perhaps the most famous example is IBM, whose corporate training platform leverages AI to recommend content based on the employee’s role, experience, and prior training. The popular foreign language-learning app Duolingo uses the Second Language Acquisition AI model to analyze a history of errors made by learners of a second language to predict the mistakes that they are likely to make at arbitrary points in the future for personalized learning.

4. Analytics or Big Data – Big Data helps eLearning experts understand how the users digest the information, which learning aspects appeal to them, and which learning interactions should be fine-tuned. Based on these patterns, eLearning experts can predict where learners may excel or struggle.

Australian superannuation fund UniSuper built an xAPI data model to gather data on training effectiveness, success rates, responses, participation rates, completion statistics, and employee confidence across several operational risks. The resulting interactive scenarios helped the company to increase users’ self-confidence scores, leading to better compliance.

Similarly, City & Guilds’ TechBac program for 14–19-year-olds uses big data to integrate data from multiple systems, websites, and apps and displays it to learners and their tutors on its Skills Zone portal. Learners can visualize their work on the City & Guilds Skills Wheel and export this data to their own tailored CV, customizing the information they present to potential employers.

Challenging the Status Quo

Learning has always been a teacher/student interaction model in which knowledge flows from one person to another. While this is still the status quo, the latest technologies like neural networks and machine learning challenge this model.

Now, developers can build applications that can automatically collect, sort, and organize the information, leading to on-demand learning and tutoring systems. And leveraging the engaging properties of gamification makes learning a more fun experience.

Contact us today to see how we can create interactive learning experiences for you!

 

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