The future of remote learning and its role in preparing students for future careers

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Reading time: 5 minutes

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 , and many institutions continue to expand their online offerings with many institutions at least offering some part of their learning online.Ìý

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 you can also learn anywhere in the world.

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

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.Ìý

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.

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  • A group of students stood around a teacher on a laptop

    The ethical challenges of AI in education

    By Billie Jago
    Reading time: 5 minutes

    AI is revolutionising every industry, and language learning is no exception. AI tools can provide students with unprecedented access to things like real-time feedback, instant translation and AI-generated texts, to name but a few.

    AI can be highly beneficial to language education by enhancing our students’ process of learning, rather than simply being used by students to ‘demonstrate’ a product of learning. However, this is easier said than done, and given that AI is an innovative tool in the classroom, it is crucial that educators help students to maintain authenticity in their work and prevent AI-assisted ‘cheating’. With this in mind, striking a balance between AI integration and academic integrity is critical.

    How AI impacts language learning

    Generative AI tools such as ChatGPT and Gemini have made it easier than ever for students to refine and develop their writing. However, these tools also raise concerns about whether submitted texts are student-produced, and if so, to what extent. If students rely on text generation tools instead of their own skills, our understanding of our students’ abilities may not reflect their true proficiency.

    Another issue is that if students continue to use AI for a skill they are capable of doing on their own, they’re likely to eventually lose that skill or become significantly worse at it.

    These points create a significant ethical dilemma:

    • How does AI support learning, or does it (have the potential to) replace the learning process?
    • How can educators differentiate between genuine student ability and AI-assisted responses?

    AI-integration strategies

    There are many ways in which educators can integrate AI responsibly, while encouraging our learners to do so too.

    1.ÌýRedesign tasks to make them more ‘AI-resistant’

    No task can be completely ‘AI-resistant’, but there are ways in which teachers can adapt coursebook tasks or take inspiration from activities in order to make them less susceptible to being completed using AI.

    For example:

    • Adapt writing tasks to be hyperlocal or context-specific. Generative AI is less likely to be able to generate texts that are context-bound. Focus on local issues and developments, as well as school or classroom-related topics. A great example is having students write a report on current facilities in their classroom and suggestions for improving the learning environment.
    • Focus on the process of writing rather than the final product. Have students use mind maps to make plans for their writing, have them highlight notes from this that they use in their text and then reflect on the steps they took once they’ve written their piece.
    • Use multimodal learning. Begin a writing task with a class survey, debate or discussion, then have students write up their findings into a report, essay, article or other task type.
    • Design tasks with skill-building at the core. Have students use their critical thinking skills to analyse what AI produces, creatively adapt its output and problem solve by fact-checking AI-generated text.

    2.ÌýUse AI so that students understand you know how to use it

    Depending on the policies in your institution, if you can use AI in the classroom with your students, they will see that you know about different AI tools and their output. A useful idea is to generate a text as a class, and have students critically analyse the AI-generated text. What do they think was done well? What could be improved? What would they have done differently?

    You can also discuss the ethical implications of AI in education (and other industries) with your students, to understand their view on it and better see in what situations they might see AI as a help or a hindrance.

    3.ÌýUse the GSE Learning Objectives to build confidence in language abilities

    Sometimes, students might turn to AI if they don’t know where to start with a task or lack confidence in their language abilities. With this in mind, it’s important to help your students understand where their language abilities are and what they’re working towards, with tangible evidence of learning. This is where the GSE Learning Objectives can help.

    The Global Scale of English (GSE) provides detailed, skill-specific objectives at every proficiency level, from 10 to 90. These can be used to break down complex skills into achievable steps, allowing students to see exactly what they need to do to improve their language abilities at a granular level.

    • Start by sharing the GSE Learning Objectives with students at the start of class to ensure they know what the expectations and language goals are for the lesson. At the end of the lesson, you can then have students reflect on their learning and find evidence of their achievement through their in-class work and what they’ve produced or demonstrated.
    • Set short-term GSE Learning Objectives for the four key skills – speaking, listening, reading and writing. That way, students will know what they’re working towards and have a clear idea of their language progression.
  • A teachet stood in front of a class in front of a board, smiling at his students.

    How to assess your learners using the GSE Assessment Frameworks

    By Billie Jago
    Reading time: 4 minutes

    With language learning, assessing both the quality and the quantity of language use is crucial for accurate proficiency evaluation. While evaluating quantity (for example the number of words written or the duration of spoken production) can provide insights into a learner's fluency and engagement in a task, it doesn’t show a full picture of a learner’s language competence. For this, they would also need to be evaluated on the quality of what they produce (such as the appropriateness, accuracy and complexity of language use). The quality also considers factors such as grammatical accuracy, lexical choice, coherence and the ability to convey meaning effectively.

    In order to measure the quality of different language skills, you can use the Global Scale of English (GSE) assessment frameworks.

    Developed in collaboration with assessment experts, the GSE Assessment Frameworks are intended to be used alongside the GSE Learning Objectives to help you assess the proficiency of your learners.

    There are two GSE Assessment Frameworks: one for adults and one for young learners.

    What are the GSE Assessment Frameworks?

    • The GSE Assessment Frameworks are intended to be used alongside the GSE Learning Objectives to help teachers assess their learners’ proficiency of all four skills (speaking, listening, reading and writing).
    • The GSE Learning Objectives focus on the things a learner can do, while the GSE Assessment Frameworks focus on how well a learner can do these things.
    • It can help provide you with examples of what proficiencies your learners should be demonstrating.ÌýÌý
    • It can help teachers pinpoint students' specific areas of strength and weakness more accurately, facilitating targeted instruction and personalized learning plans.
    • It can also help to motivate your learners, as their progress is evidenced and they can see a clear path for improvement.

    An example of the GSE Assessment Frameworks

    This example is from the Adult Assessment Framework for speaking.

    As you can see, there are sub-skills within speaking (andÌýfor the other three main overarching skills – writing, listening and reading). Within speaking, these areÌýproductionÌýandÌýfluency, spoken interaction, language range andÌýaccuracy.

    The GSE range (and corresponding CEFR level) is shown at the top of each column, and there are descriptors that students should ideally demonstrate at that level.

    However, it is important to note that students may sit across different ranges, depending on the sub-skill. For example, your student may show evidence of GSE 43-50 production and fluency and spoken interaction, but they may need to improve their language range and accuracy, and therefore sit in a range of GSE 36-42 for these sub-skills.

  • A child sat with a teacher with a tablet

    Writing your own English language materials with the GSE

    By Billie Jago

    Being an English language teacher means you’re also probably (definitely) a materials writer. You likely tailor or create language materials for your students that are suited to their needs and interests, either as supplements to your course materials or for communicative lessons. Alternatively, you might be a teacher who creates paid, published materials available for students worldwide to enjoy.

    With this in mind, think of the materials you’ve developed and ask yourself the following:

    • How do you level your grammar or vocabulary for the content you write?
    • How do you find topic-related vocabulary to extend your students’ knowledge of language?
    • How do you contextualize new grammar or vocabulary?

    You can use many different resources, from online dictionaries to course workbooks to a Google search. Still, the Global Scale of English is a reference that provides everything you need to write great learning materials, all in one place. It can help save you valuable time as a teacher and materials writer.

    For me, the GSE was a game changer as an English teacher, and it continues to be as I write materials. The GSE is not just a tool; it’s a companion in the complex journey of material development, offering clarity and direction at every step. It can guide you in creating effective, engaging learning resources.

    How to use the GSE toolkit to create your own materials

    1. Establishing clear Learning Objectives

    helps you start with a clear roadmap. It provides detailed descriptors for language proficiency at every level, ensuring your materials align with specific learning objectives. For instance, if you’re creating a beginner-level reading comprehension activity, the GSE descriptors will guide you on the appropriate complexity of vocabulary and sentence structures.

    Take a look at the Learning Objectives tab in the GSE Toolkit to learn more.

    2. Designing level-appropriate content

    Once objectives are set, the GSE assists in tailoring the content difficulty to the targeted proficiency level. Its numerical scale, ranging from 10 to 90, allows you to pinpoint the exact level of language skills required and design your materials accordingly. This precision ensures that learners are neither overwhelmed nor under-challenged.

    You can set the level you are looking for by sliding the bar along the scale, so it corresponds to the appropriate CEFR level or GSE range.