When entering the world of language proficiency tests, test takers are often faced with a dilemma: Should they opt for tests scored by humans or those assessed by artificial intelligence (AI)? The choice might seem trivial at first, but understanding the differences between AI scoring and human language test scoring can significantly impact preparation strategy and, ultimately, determine test outcomes.

The human touch in language proficiency testing and scoring

Historically, language tests have been scored by human assessors. This method leverages the nuanced understanding that humans have of language, including idiomatic expressions, cultural references, and the subtleties of tone and even writing style, akin to the capabilities of the human brain. Human scorers can appreciate the creative and original use of language, potentially rewarding test takers for flair and originality in their answers. Scorers are particularly effective at evaluating progress or achievement tests, which are designed to assess a student's language knowledge and progress after completing a particular chapter, unit, or at the end of a course, reflecting how well the language tester is performing in their language learning studies.

One significant difference between human and AI scoring is how they handle context. Human scorers can understand the significance and implications of a particular word or phrase in a given context, while AI algorithms rely on predetermined rules and datasets.

The adaptability and learning capabilities of human brains contribute significantly to the effectiveness of scoring in language tests, mirroring how these brains adjust and learn from new information.

Advantages:

• Nuanced understanding: Human scorers are adept at interpreting the complexities and nuances of language that AI might miss.
• Contextual flexibility: Humans can consider context beyond the written or spoken word, understanding cultural and situational implications.

Disadvantages:

• Subjectivity and inconsistency: Despite rigorous training, human-based scoring can introduce a level of subjectivity and variability, potentially affecting the fairness and reliability of scores.
• Time and resource intensive: Human-based scoring is labor-intensive and time-consuming, often resulting in longer waiting times for results.
• Human bias: Assessors, despite being highly trained and experienced, bring their own perspectives, preferences and preconceptions into the grading process. This can lead to variability in scoring, where two equally competent test takers might receive different scores based on the scorer's subjective judgment.

The rise of AI in language test scoring

With advancements in technology, AI-based scoring systems have started to play a significant role in language assessment. These systems utilize algorithms and natural language processing (NLP) techniques to evaluate test responses. AI scoring promises objectivity and efficiency, offering a standardized way to assess language and proficiency level.

Advantages:

• Consistency: AI scoring systems provide a consistent scoring method, applying the same criteria across all test takers, thereby reducing the potential for bias.
• Speed: AI can process and score tests much faster than human scorers can, leading to quicker results turnaround.
• Great for more nervous testers: Not everyone likes having to take a test in front of a person, so AI removes that extra stress.

Disadvantages:

• Lack of nuance recognition: AI may not fully understand subtle nuances, creativity, or complex structures in language the way a human scorer can.
• Dependence on data: The effectiveness of AI scoring is heavily reliant on the data it has been trained on, which can limit its ability to interpret less common responses accurately.

Making the choice

When deciding between tests scored by humans or AI, consider the following factors:

• Your strengths: If you have a creative flair and excel at expressing original thoughts, human-scored tests might appreciate your unique approach more. Conversely, if you excel in structured language use and clear, concise expression, AI-scored tests could work to your advantage.
• Your goals: Consider why you're taking the test. Some organizations might prefer one scoring method over the other, so it's worth investigating their preferences.
• Preparation time: If you're on a tight schedule, the quicker turnaround time of AI-scored tests might be beneficial.

Ultimately, both scoring methods aim to measure and assess language proficiency accurately. The key is understanding how each approach aligns with your personal strengths and goals.

The bias factor in language testing

An often-discussed concern in both AI and human language test scoring is the issue of bias. With AI scoring, biases can be ingrained in the algorithms due to the data they are trained on, but if the system is well designed, bias can be removed and provide fairer scoring.

Conversely speaking, human scorers, despite their best efforts to remain objective, bring their own subconscious biases to the evaluation process. These biases might be related to a test taker's accent, dialect, or even the content of their responses, which could subtly influence the scorer's perceptions and judgments. Efforts are continually made to mitigate these biases in both approaches to ensure a fair and equitable assessment for all test takers.

Preparing for success in foreign language proficiency tests

Regardless of the scoring method, thorough preparation remains, of course, crucial. Familiarize yourself with the test format, practice under timed conditions, and seek feedback on your performance, whether from teachers, peers, or through self-assessment tools.

The distinctions between AI scoring and human in language tests continue to blur, with many exams now incorporating a mix of both to have students leverage their respective strengths. Understanding and interpreting written language is essential in preparing for language proficiency tests, especially for reading tests. By understanding these differences, test takers can better prepare for their exams, setting themselves up for the best possible outcome.

Will AI replace human-marked tests?

The question of whether AI will replace markers in language tests is complex and multifaceted. On one hand, the efficiency, consistency and scalability of AI scoring systems present a compelling case for their increased utilization. These systems can process vast numbers of tests in a fraction of the time it takes markers, providing quick feedback that is invaluable in educational settings. On the other hand, the nuanced understanding, contextual knowledge, flexibility, and ability to appreciate the subtleties of language that human markers bring to the table are qualities that AI has yet to fully replicate.

Both AI and human-based scoring aim to accurately assess language proficiency levels, such as those defined by the Common European Framework of Reference for Languages or the Global Scale of English, where a level like C2 or 85-90 indicates that a student can understand virtually everything, master the foreign language perfectly, and potentially have superior knowledge compared to a native speaker.

The integration of AI in language testing is less about replacement and more about complementing and enhancing the existing processes. AI can handle the objective, clear-cut aspects of language testing, freeing markers to focus on the more subjective, nuanced responses that require a human touch. This hybrid approach could lead to a more robust, efficient and fair assessment system, leveraging the strengths of both humans and AI.

Future developments in AI technology and machine learning may narrow the gap between AI and human grading capabilities. However, the ethical considerations, such as ensuring fairness and addressing bias, along with the desire to maintain a human element in education, suggest that a balanced approach will persist. In conclusion, while AI will increasingly play a significant role in language testing, it is unlikely to completely replace markers. Instead, the future lies in finding the optimal synergy between technological advancements and human judgment to enhance the fairness, accuracy and efficiency of language proficiency assessments.

Tests to let your language skills shine through

Explore Pearson's innovative language testing solutions today and discover how we are blending the best of AI technology and our own expertise to offer you reliable, fair and efficient language proficiency assessments. We are committed to offering reliable and credible proficiency tests, ensuring that our certifications are recognized for job applications, university admissions, citizenship applications, and by employers worldwide. Whether you're gearing up for academic, professional, or personal success, our tests are designed to meet your diverse needs and help unlock your full potential.

Take the next step in your language learning journey with Pearson and experience the difference that a meticulously crafted test can make.

The future of remote learning still holds significant potential in preparing students for future careers by leveraging advanced technologies, fostering flexibility and accessibility, promoting lifelong learning, facilitating global collaboration, emphasizing soft skills, personalizing learning experiences, integrating industry partnerships, and ensuring ethical and responsible use of technology. A significant number of students are enrolled in online courses, and many institutions continue to expand their online offerings with many institutions at least offering some part of their learning online. 

By embracing these opportunities and addressing challenges proactively, remote learning can play a vital role in equipping students with the knowledge, skills and mindset needed to thrive in a rapidly evolving job market. With jobs moving away from the bricks-and-mortar workplace, tomorrow's job opportunities will have fewer physical and geographical restrictions, so if you can work from anywhere in the world, you can also learn anywhere in the world.

Here's how remote learning integrates into this evolution, by enforcing these things: 

Flexibility and accessibility

Remote learning provides flexibility in scheduling and accessibility to educational resources, allowing students to balance learning with other commitments such as work or family responsibilities. This flexibility mirrors the dynamic nature of many future careers, where adaptability and time management are essential skills. It also allows people who may otherwise not be able to attend a traditional institution in person the same opportunity to learn. 

Digital literacy and technological proficiency

Remote learning requires students to navigate various digital platforms, tools and resources, fostering digital literacy and technological proficiency. These skills are increasingly vital in virtually every industry, as technology continues to transform the way we work and communicate. 

Self-directed learning and autonomy

Remote learning often encourages self-directed learning, where students take greater responsibility for their education, set learning goals, and manage their progress independently. This cultivates autonomy and self-motivation, qualities highly valued in the modern workplace, where employees are expected to take initiative and drive their own professional development. 

Global perspective and cultural competence

Remote learning platforms facilitate collaboration and interaction among students from diverse cultural backgrounds and geographical locations. Engaging with peers from around the world fosters a global perspective, cultural competence, and cross-cultural communication skills, essential for success in an increasingly interconnected and globalized workforce. 

Collaboration and teamwork skills

While remote, students often participate in group projects, discussions and virtual teamwork exercises, honing their collaboration and communication skills in digital environments. These skills are invaluable in many careers, where collaboration across distributed teams and effective virtual communication are becoming increasingly common. 

Problem-solving and critical thinking

Remote learning activities often emphasize problem-solving, critical thinking and analytical skills as students engage with complex challenges and real-world scenarios. These cognitive skills are essential for navigating uncertainty and innovation in future careers, where the ability to analyze information, think critically and propose creative solutions is highly prized.

Adaptability to changing technologies and industries

Remote learning exposes students to a variety of digital tools, software and online platforms, helping them adapt to rapidly changing technologies and industries. By staying abreast of emerging trends and mastering new tools, students develop a mindset of lifelong learning and adaptability, crucial for success in careers that continually evolve. 

Professional networking and career development

Remote learning platforms often provide opportunities for students to connect with industry professionals, mentors and alumni networks, expanding their professional network and gaining insights into potential career paths. Building relationships with professionals in their field of interest can open doors to internships, job opportunities and career guidance, facilitating a smoother transition from education to employment. 

The future of remote learning is poised to undergo significant transformations driven by technological advancements, evolving educational paradigms and societal shifts. Here are just some key trends that may shape the future of remote learning…

Hybrid learning models

As we move forward, we're likely to see a blend of traditional classroom instruction and remote learning, known as hybrid learning. This model offers flexibility for both students and educators, allowing them to leverage the benefits of in-person interaction while also harnessing the advantages of remote technologies for convenience, accessibility and personalized learning experiences. 

Virtual reality (VR) and augmented reality (AR)

VR and AR technologies are expected to play a more prominent role in remote learning, offering immersive and interactive experiences that simulate real-world environments. These technologies can transport students to historical sites, enable hands-on experiments in science labs, and facilitate collaborative problem-solving activities, enhancing engagement and understanding. 

Artificial intelligence (AI) and adaptive learning

AI-powered tools can analyze vast amounts of data to personalize learning experiences, identify individual strengths and weaknesses, and offer targeted interventions. Adaptive learning platforms can adjust the pace, content and instructional methods based on each student's learning preferences and performance, optimizing learning outcomes and promoting mastery of concepts. 

Microlearning and bite-sized content

With attention spans decreasing and the demand for just-in-time learning increasing, microlearning—delivering content in small, digestible chunks—is gaining popularity. Microlearning modules, delivered through mobile devices and online platforms, enable learners to access relevant information quickly, retain knowledge more effectively, and apply it immediately in real-world contexts. 

Gamification and interactive content

Gamification elements such as badges, leaderboards and rewards can enhance motivation, engagement and retention in remote learning environments. Interactive content, such as simulations, quizzes and branching scenarios, not only makes learning more enjoyable but also facilitates active participation, critical thinking and skill development. 

Social learning and collaboration tools

Remote learning platforms will continue to integrate social learning features such as discussion forums, group projects and peer feedback mechanisms. Collaboration tools like video conferencing, instant messaging and shared document editing enable synchronous and asynchronous communication, fostering interaction, teamwork and community building among students and educators. 

Data-driven decision making

The collection and analysis of learning analytics data will enable educators and administrators to gain insights into student progress, engagement levels and learning preferences. By leveraging data-driven decision-making processes, institutions can identify areas for improvement, personalize interventions and optimize instructional strategies to enhance student success and retention rates. 

Continued emphasis on equity and inclusion

As remote learning becomes more prevalent, it's crucial to address issues of access, digital literacy, and socioeconomic disparities. Efforts to bridge the digital divide, provide equitable access to technology and resources, and create inclusive learning environments for diverse populations will be essential in shaping the future of remote learning. 

In summary, by leveraging the opportunities provided by remote learning, students, job seekers and career changers can develop the skills and competencies needed to thrive in a dynamic and rapidly changing job market.

The integration of Artificial Intelligence systems (AI) into English language teaching represents a significant shift in educational methodologies. This emerging technology offers English teachers a myriad of opportunities to enhance their teaching strategies, making the learning process more engaging, personalized and effective. In this blog post, we will explore practical tips on how AI can aid English language teaching and empower both educators and learners.

One noteworthy reference highlighting AI's impact on education is the report by the Organisation for Economic Co-operation and Development (OECD), 'Digital Education Outlook 2023'.  This comprehensive study outlines how AI technologies, assists administrative and assessment aspects of teaching but also revolutionizes the way students learn. AI tools are paving the way for a more adaptable and learner-centric approach in English language teaching by offering bespoke, adaptive learning pathways and instant feedback.

How is AI currently being used in schools?

Currently, schools are just beginning to harness the power of AI to enhance English language learning in several innovative ways. One notable application of educational technology is the use of intelligent tutoring systems, which provide students with personalized feedback and learning paths tailored to their individual needs and proficiency levels.

Additionally, AI-driven language learning apps and platforms have become increasingly popular, offering interactive and immersive learning experiences through natural language processing and machine learning technologies.

These platforms can simulate conversation practice, offer pronunciation correction, and even adapt the content in real-time to challenge students appropriately.

Furthermore, AI is also being used for administrative tasks, such as grading and assessing students' work, allowing teachers more time to focus on curriculum development and one-on-one student interaction. This integration of AI into English language teaching is enhancing the efficiency of learning processes and actively contributing to a more engaging and dynamic educational environment.

How AI can enhance English language teaching

Personalization at scale

AI systems can analyze individual student learning styles and preferences, allowing for personalized lesson plans that cater to the unique needs of every student. By customizing content, pacing and learning activities, AI ensures that students remain engaged and receive targeted support, significantly improving learning outcomes.

Interactive learning experiences

AI-powered applications, educational games and tools can create immersive and interactive language learning experiences. From chatbots that simulate conversation, to platforms that offer real-time feedback on pronunciation, these tools can help students to practice speaking and listening skills in a controlled and safe environment outside the traditional classroom setting.

Autonomous learning support

With the assistance of AI, students can self-study more effectively. AI tutoring systems can provide instant feedback on written work, ensuring learners can progress even when a teacher isn't immediately available to teach. These systems offer consistent, unbiased support, which is invaluable for building students' confidence.

Enhanced assessment capabilities

Assessment is a crucial part of the learning process. AI can take on the laborious task of grading and provide detailed insights into a student's performance. Teachers can then use this data to identify areas where students struggle and tailor future instruction to address these gaps.

Expanding the creative horizons

AI's applications extend into creative writing, offering students prompts and suggestions to overcome writer's block and develop storylines. This enhances creativity and motivation in students by providing them with a springboard for their writing skills.

Utilizing ChatGPT in language teaching

ChatGPT, an AI language model, can aid and save time on the way language lessons are conducted by creating a highly interactive and responsive environment for students. Teachers can harness this technology to simulate real-life conversations, enabling students to practice their language skills in a dynamic setting. Students can also be encouraged to use it to start first drafts and use their critical thinking.

By inputting specific scenarios or topics, ChatGPT can generate dialogues that challenge and teach students how to use new vocabulary and grammar structures in context, bridging the gap between theoretical learning and practical application. Furthermore, its capacity to provide immediate feedback allows learners to correct their mistakes in real time, fostering a learning atmosphere that is both efficient and encouraging.

The versatility of these kinds of AI chatbots means they can be tailored to suit learners at different proficiency levels, making them an invaluable tool for language teachers aiming to enhance engagement and facilitate deeper learning.

Tips for teachers integrating AI in English lessons

1. Start with a clear goal: define what you aim to achieve by incorporating AI into your lessons.
2. Combine traditional and AI methods: use AI as a complement, not a substitute, for human interaction.
3. Prioritize privacy and ethics: ensure any AI tools used are compliant with privacy laws and ethical standards.
4. Stay updated: AI is a fast-evolving field. Attend professional development webinars and workshops to stay current.
5. Foster a growth mindset: encourage students to view AI as a tool to aid their own effort and perseverance.
6. Demystify technology: explain how AI works, alleviating any concerns or misapprehensions about its use.
7. Experiment and iterate: not every AI application will suit your classroom – be prepared to try different tools and approaches.

What about cheating and plagiarism with AI?

The issue of cheating and plagiarism is a significant concern in our higher education institutions and is becoming more pronounced with the advent of AI technologies. However, AI itself can be a formidable ally in combating these challenges. AI-powered tools can analyze student submissions to detect plagiarism effectively, providing educators with robust mechanisms to ensure the integrity of academic work. Additionally, AI systems can be programmed to recognize students' unique writing styles, making it easier to identify discrepancies that suggest dishonesty.

It's important for educators to discuss these topics openly with students, emphasizing the value of originality and the serious consequences of academic misconduct. By leveraging AI not just for educational enhancement but also as a means of maintaining academic standards, educators can foster a culture of honesty and integrity within the classroom.

The AI webinar series for English teachers

To fully unlock the potential of AI in the world of English language teaching, continuous learning is a must. We're excited to introduce an upcoming webinar series that will guide English teachers through the nuances of AI:

Featured webinar series: Unlocking the potential of AI in English language learning

From March 11 to March 15, 2024, join us for a series of engaging webinars designed for English teachers. Delve into various topics including generative AI, speaking practice, ethics and storytelling.

Benefit from insights shared by experts like Ken Beatty, Kacper Łodzikowski, Magdalena Kania, Billie Jago and Ilya Gogin. Plus, earn a professional development certificate for your participation.

Webinar sessions:

• Artificial Intelligence: Shining Light in the Language Classroom – get an overview of AI in language learning and best practices for integration.
• A Teachers' Guide to Safe and Ethical AI Usage for Learners – gain insights into safe and ethical AI integration in the classroom.
• Practice English Speaking with AI – learn how to use AI to build learners' confidence in speaking.
• AI and Storytelling – harness AI's power to inspire creativity and improve narrative skills.
• Teaching in the Age of AI – prepare for the educational evolution with actionable tips.

Join us as we explore the frontiers of AI in education and discuss how to prepare for the evolving educational landscape. It's time to equip yourself with the knowledge and tools required to thrive in an AI-influenced educational environment.

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As technology and AI translation tools continue to advance, it's becoming increasingly tempting to rely on them for language-related tasks. However, this can potentially undermine motivation to learn a new language when technology seems to offer a shortcut. While machine translation can be helpful, it also has its limitations. 

Learning a language goes beyond just communication; it opens the door to different cultures, mindsets, and perspectives of the world. Machine translation, despite its efficiency, cannot replicate the cultural immersion that comes with learning a language. Spoken language nuances, idiomatic expressions, cultural references, and implicit rules that are second nature to native speakers are often lost in translation. Let's delve deeper into why learning a language is better than solely relying on machine translation.

As we prepare to bid adieu to the year 2023, it provides us with an excellent opportunity to reflect on the current state of language learning and the various trends and features that have become more popular in this field.

Whether you're a seasoned polyglot with years of experience or a beginner just starting on your linguistic journey, it's essential to take some time to ponder and evaluate the latest developments and advancements in language learning at Pearson and beyond. Let’s have a look.

1. Digital language learning platforms

Digital learning platforms have transformed the way people learn new languages. The flexibility of being able to learn from anywhere, along with interactive lessons and personalized experiences powered by AI, has made these platforms a popular choice for language enthusiasts.

Mondly by Pearson has witnessed significant increases in the number of users thanks to it being the closest thing to actual language immersion, with state-of-the-art speech recognition technology and over 400 hours of content specifically created to improve fluency and learn with real-life speakers rather than robots.

2. Gamification

Gamification has been around for a while but is an increasingly popular trend in language education. Nowadays, language learning platforms and apps have integrated game elements into their programs to make the process of acquiring a new language more enjoyable and rewarding.

Interactive challenges, points and badges serve as motivation for learners to stay committed to the learning process and keep track of their progress. It seems that gamification is here to stay and is being adopted more and more into learning.

3. Implementation of the Global Scale of Languages (GSL)

This year, the evolution of Pearson's flagship Global Scale of English, the GSL, was introduced, providing unparalleled insights into learners' skills in multiple languages. It has finished the year with an offering of four languages: French, Italian, Spanish and German, helping to personalize even more learners' language journeys.

4. Personalized learning with Artificial Intelligence (AI)

In 2023, AI-driven personalization in language learning has reached new heights. Language apps are now using machine learning algorithms to provide tailored lessons based on individual learning styles, strengths and weaknesses. Responsible AI tools have been used to help language teaching (and learning) in so many ways, including lesson planning, idea generation and problem-solving.

This approach ensures that learners follow a customized learning path that maximizes efficiency and effectiveness. This year, Mondly by Pearson announced LUNA, an AI conversational partner that provides a realistic learning experience. Mondly by Pearson has made significant progress in this area and continues to improve and develop more technology/AI-based teaching tools.

Looking back, it's evident that the future of language acquisition is technology-driven and constantly evolving. Whether you prefer immersive virtual reality experiences, gamified language learning apps or personalized learning with the help of AI, there's a tool that caters to every learning style.

Stay ahead of the curve and consider embracing some of these innovative approaches to language learning in 2024. Try a new language app, game, tool or even just following and interacting with more people on socials: you might end up surprising yourself. We'll be keeping you up to date on our language learning blogs and socials all through 2024. Wishing you a happy and successful new year, and may you meet all your language goals in 2024. 

Recently, Artificial Intelligence (AI) has shown itself to be a useful and breakthrough tool for many things, including language learning. Educators, learners and businesses are constantly seeking effective methods to impart language skills and AI-powered solutions have proved to be invaluable assets in this regard.

The impact of AI on language learning is multifaceted, presenting opportunities as well as challenges for educators, learners and corporate entities. According to a Microsoft survey, many institutions say that AI will be instrumental to improving their competitiveness, funding, and innovation.

It is a widely discussed topic nowadays. While it has its advantages, there are also some drawbacks to consider.

Digital assessment is becoming more and more widespread in recent years. But what’s the role of digital assessment in teaching today? We’d like to give you some insight into digital assessment and automated scoring.

Just a few years ago, there may have been doubts about the role of AI in English assessment and the ability of a computer to score language tests accurately. But today, thousands of teachers worldwide use automated language tests to assess their students’ language proficiency.

For example, Pearson’s suite of Versant tests have been delivering automated language assessments for nearly 25 years. And since its launch in 1996, over 350 million tests have been scored. The same technology is used in Pearson’s Benchmark and Level tests.

So what makes automated scoring systems so reliable?

Huge data sets of exam answers and results are used to train artificial intelligence machine learning technology to score English tests the same way that human markers do. This way, we’re not replacing human judgment; we’re just teaching computers to replicate it.

Of course, computers are much more efficient than humans. They don’t mind monotonous work and don’t make mistakes (the standard marking error of an AI-scored test is lower than that of a human-scored test). So we can get unbiased, accurate, and consistent scores.

The top benefits of automated scoring are speed, reliability, flexibility, and free from bias.

Speed

The main advantage computers have over humans is that they can quickly process complex information. Digital assessments can often provide an instant score turnaround. We can get accurate, reliable results within minutes. And that’s not just for multiple-choice answers but complex responses, too.

The benefit for teachers and institutions is that they can have hundreds, thousands, or tens of thousands of learners taking a test simultaneously and instantly receive a score.

The sooner you have scores, the sooner you can make decisions about placement and students’ language level or benchmark a learner’s strengths and weaknesses and make adjustments to learning that drive improvement and progress.

Flexibility

The next biggest benefit of digital assessment is flexible delivery models. This has become increasingly more important since online learning has become more prominent.

Accessibility became key: how can your institution provide access to assessment for your learners, if you can’t deliver tests on school premises?

The answer is digital assessment.

For example, Versant, our web-based test can be delivered online or offline, on-site or off-site. All test-takers need is a computer and a headset with a microphone. They can take the test anywhere, any time of day, any day of the week, making it very flexible to fit into someone's schedule or situation. 

Free from bias

Impartiality is another important benefit of AI-based scoring. The AI engine used to score digital proficiency tests is completely free from bias. It doesn’t get tired, and it doesn’t have good and bad days like human markers do. And it doesn’t have a personality.

While some human markers are more generous and others are more strict, AI is always equally fair. Thanks to this, automated scoring provides consistent, standardized scores, no matter who’s taking the test.

If you’re testing students from around the world, with different backgrounds, they will be scored solely on their level of English, in a perfectly objective way.

Additional benefits of automated scoring are security and cost.

Security

Digital assessments are more difficult to monitor than in-person tests, so security is a valid concern. One way to deal with this is remote monitoring.

Remote proctoring adds an extra layer of security, so test administrators can be confident that learners taking the test from home don’t cheat.

For example, our software captures a video of test takers, and the AI detection system automatically flags suspicious test-taker behavior. Test administrators can access the video anytime for audits and reviews, and easily find suspicious segments highlighted by our AI.

Here are a few examples of suspicious behavior that our system might flag:

Image monitoring:

• A different face or multiple faces appearing in the frame
• Camera blocked

Browser monitoring:

• Navigating away from the test window or changing tabs multiple times

Video monitoring:

• Test taker moving out of camera view
• More than one person in the camera view
• Looking away from the camera multiple times

Cost

Last but not least, the cost of automated English certifications are a benefit. Indeed, automated scoring can be a more cost-effective way of monitoring tests, primarily because it saves time and resources.

Pearson English proficiency assessments are highly scalable and don’t require extra time from human scorers, no matter how many test-takers you have.

Plus, there’s no need to spend time and money on training markers or purchasing equipment.

AI is helping to lead the way with efficient, accessible, fair and cost-effective English test marking/management. Given time it should develop even further, becoming even more advanced and being of even more help within the world of English language learning and assessments. 

"What’s the most effective way to learn English?" It’s a question that has perplexed linguists for years. I see room for plenty of innovation in where it all starts - 'Ed'.

The evolution of edtech

In the seventies, reel to reel tape recorders were the latest technology. They enabled us school kids in the north of England to hear French sentences spoken by a first language speaker, rather than by an English teacher.

We looked at pictures projected onto the wall, listened to the sentences and repeated them over and over again. Not only did the audio-lingual methodology use the latest technology – but the pedagogy was also based on the 'sound' learning science of behaviorism. In a nutshell: if you repeat something often enough, it becomes automatic.

This 'drill and kill' approach to language learning has since been discredited and replaced by the communicative approach. Nevertheless, it lasted long enough to inform all of my secondary school French education.

I was considered a linguist and a grade A student. I went on to study for a French degree. But when I finally landed in France, I was unable to participate in even the most basic conversations. How effective had my language learning been?

A focus on outcomes is needed

So what is the takeaway? Publishers, entrepreneurs and edtech companies must think carefully about their products and courses. What problems are they trying to address? What outcomes are they trying to target?

It’s not enough to be innovative or novel. The shiny new toy will only engage learners for a short time if they don’t feel like they are making progress. We need to measure the impact on actual learning.

However, it is great to see so many exciting things happening in the world of edtech. For the first time, I believe we are on the cusp of delivering truly personalized learning journeys to all students –not just those who can afford individual tuition.

Many of us are developing AI that makes the learning journey adaptive, that monitors learner progress and surfaces that progress to the learner, that offers feedback on pronunciation, grammar, vocabulary, speaking and writing.

We know that feedback has a significant impact on learning. We also know that it is challenging to give feedback on spontaneous language. But this is where AI is heading and soon the vision of learners interacting with virtual tutors on various topics will be a reality.

The role of teachers in the edtech landscape

Will technology replace teachers? Unlikely. Language is a social construct. We learn languages to communicate with others – and an increasing number of language apps are partnering with online tutors and creating language communities to address this need for human interaction. But technology can supplement what the teacher does – and will be able to do so more meaningfully thanks to AI.

It can extend language learning outside of the classroom, driving faster progress. It is available 24/7.It provides learners with a safe space to practice and fail – a way to build confidence. It does not replace the teacher. Instead, it enables the teacher to be replaced in the classroom, focusing on the communicative elements of language learning that are still a challenge for apps.

The technological component of learning is constantly growing. More and more classes are taking place online – yet rather than simply being a substitute for classroom courses, they can be blended with a classroom-based approach. This often offers students a more engaging and motivating experience. This post talks about the advantages of online learning, why teachers find it useful and why students enjoy it.

Distance learning versus classroom courses

Typically, there are two sets of teachers interested in experimenting with online teaching:

• Those who are considering using distance learning courses for students who can’t attend classes.
• Those who are looking to supplement their classroom teaching with more interactive, or personalized online components.

Yet regardless of the category they fall into, they’ll often ask: “What can distance learning courses provide that classroom courses can’t?”.

And this is the right question to ask. Looking at the relative advantages of online courses helps us discern what is the best use of classroom time for learning and what is the best use of online time for learning.

Knowing this allows us to make better decisions about how and when to use online learning. Instead of simply adopting an online course, adding online components just because they look attractive, or using great technology just because it alleviates scheduling problems, we can choose them for the added value they provide.

The strengths of classroom-based learning versus online learning

The strengths of a classroom-based course are:

1. Easier community building.
2. Direct access to a live teacher for inspiration, guidance and feedback.
3. More 'live' opportunities for communicative practice with other students.
4. Provision of a structured schedule.

As for the strengths of a distance learning course, the following come to mind. They:

1. Provide easier access to course resources.
2. Offer greater convenience for the teacher and learner, and offer flexibility in scheduling.
3. Can be personalized – that is, teachers can cater to each student’s proficiency level and learning goals by delivering different online resources (including videos, readings, and listenings) to individual students so they can work on them in their own time.

However, distance learning courses have some less obvious advantages, too. Distance learning courses have shown the following trends, which have completely changed the way to see and use online learning:

Increased engagement

Number one is the rise in engagement. A well-designed distance course is aimed directly at the individual learner: there is much more practice time and immediate feedback, particularly for listening and speaking tasks. We often find that shy students and those who feel unable to participate in a classroom environment are more willing to engage with the teacher and other students in online courses.

Improved concentration

Secondly, online courses improve concentration, which, as all teachers know, is a continual problem in classrooms. Rather than being directed on what to do, students working online can select what activities to engage in, for how long, and in what sequence, which helps them stay focused.

Easier assessment

The third advantage, which is vital for a teacher, is the ease and fluidity of tracking progress. In classrooms, it’s hard to track how students progress over a whole semester, much less in each class. In online distance learning, you get constant monitoring of how well students are doing on individual tasks and progress checks, no matter what learning management system you’re using.

Why learners choose online courses

We’ve seen the potential reasons teachers may incorporate distance learning materials. But why do learners choose online courses over classroom ones?

Choice is an important aspect of engagement and motivation – and the only way that students are going to learn is if they feel engaged. Give them choices in activities, homework, schedules, tests and even grading.

For example, if teaching a class on human rights, in which students watch a short video and write a text, you could give students a choice of two videos, rather than directing them to watch a particular video. And in an exam, maybe offer a choice of different reading materials or essay topics to write on.

What’s more, giving students a choice of a distance learning course over a classroom course, a blended classroom online course, or even a choice of activities can improve motivation and increase engagement. Just make sure not to overwhelm them with too many choices!