Talking technology: Teaching 21st century communication strategies

Ken Beatty
A teacher holding a tablet to a young student in a classroom sat at a table
Reading time: 4 minutes

When my son created a web consulting business as a summer job, I offered to have business cards made for him. ¡°Oh Dad,¡± he said, ¡°Business cards are so 20th century!¡±

It was an embarrassing reminder that communication norms are constantly changing, as are the technologies we use. Younger generations share contact information on their phones¡¯ social media apps, not with business cards. A similar shift has been the move away from business cards featuring fax numbers. ¡°What¡¯s a fax?¡± my son might ask.

Fax machines have had a surprisingly long life¨Cthe first fax machine was invented in 1843¨Cbut they have been largely retired because it¡¯s easier to send images of documents via email attachments.

More recent technologies, such as the 1992 invention of text messages, seem here to stay, but continue to evolve with innovations like emojis, a 1998 innovation whose name combines the Japanese words e (picture) and moji (character).?

The 55/38/7 rule and the three Cs

Changing technologies challenge language teachers who struggle to prepare students with the formats and the strategies they need to be effective in academic, business, and social settings. These challenges start with questions about why we have particular norms around communication. These norms form a culture of communication.

The artist/musician Brian Eno defines culture as what we »å´Ç²Ô¡¯³Ù have to do. We may have to walk, but we »å´Ç²Ô¡¯³Ù have to dance. Dancing, therefore, is culture. Communication is full of cultural practices that we »å´Ç²Ô¡¯³Ù strictly need to do, but which make communication more successful. These include practices based on the 55/38/7 Rule and The Three Cs.

The 55/38/7 rule is often misinterpreted as being about what someone hears when we speak. It actually refers to the insights of University of California professor, , who looked at how our attitudes, feelings, and beliefs influence our trust in what someone says.

Mehrabian suggests words only account for seven percent of a message¡¯s impact; tone of voice makes up 38 percent, and body language¨Cincluding facial expressions¨Caccount for the other 55 percent. The consequence of this for our students is that it¡¯s sometimes not so important what they are saying as how they are saying it.

Another way of looking at this nonverbal communication is in terms of The Three Cs: context, clusters, and congruence.?

Context is about the environment in which communication takes place, any existing relationship between the speakers, and the roles they have. Imagine how each of these factors change if, for example, you met a surgeon at a party compared to meeting the same surgeon in an operating theater where you are about to have your head sawn open.

Clusters are the sets of body language expressions that together make up a message; smiling while walking toward someone is far different than smiling while carefully backing away.

Congruence refers to how body language matches¨Cor doesn¡¯t match¨Ca speaker¡¯s words. People saying, ¡°Of course! It¡¯s possible!¡± while unconsciously shaking their heads from side to side are perhaps being less than truthful.

How does a culture of communication practices translate to new technologies? Mobile phone texts, just like 19th-century telegraph messages before them, need to be precise in conveying their meaning.

In virtual meetings (on Teams and Google Hangouts, for example), students need to understand that tone of voice, facial expressions, and body language may be more important than the words they share.

Politeness as one constant

An additional key concern in virtual meetings is politeness. Once, in preparation for a new textbook, I was involved in soliciting topics of interest to university teachers. I was surprised that several teachers identified the need to teach politeness. The teachers pointed out that the brevity of social media meant that students were often unwittingly rude in their requests (typical email: ¡°Where¡¯s my grade!¡±). Moreover, such abruptness was crossing over to their in-person interactions.

Politeness includes civility, getting along with others, as well as deference, showing respect to those who may have earned it through age, education, and achievement. But politeness is also related to strategies around persuasion and how to listen actively, engage with other speakers by clarifying and elaborating points and ask a range of question types. Online or in person, if students cannot interrupt politely or know when it is better to listen, whatever they have to say will be lost in the court of bad opinion.

This is particularly important in preparation for academic and business contexts where students need to interact in groups, such as seminar settings and business meetings. Within these, it¡¯s necessary for students to be able to take on a variety of roles, including leadership, taking notes, and playing devil¡¯s advocate to challenge what a group thinks.

Engaging students with project work

Role-play can help raise awareness of these strategies among students, but it¡¯s not enough to just take on a variety of roles found in common academic and business exchanges; students need to be able to reflect after each role-play session and infer what strategies are successful.

Technology-based projects can also help students engage in a range of communication strategies. For example, a ɫèAV series, StartUp, embraces technology in each unit by sprinkling various text messages and web-based research tasks. There are also multimedia projects where students use their phones to collect images or video and share the results in presentations that develop their critical thinking.

For example:

Make your own video

Step 1 Choose a favorite restaurant or meal.

Step 2 Make a 30-second video. Talk about the meal. Describe what you eat and drink. Explain why you like it.

Step 3 Share your video. Answer questions and get feedback.

This simple project subconsciously reinforces the unit¡¯s vocabulary and grammar. It also allows students to personalize the project based on things that they need to talk about in daily life¨Ctheir local foods in this case. This means that each student¡¯s presentation is unique. Unlike with essay assignments, students tend to work hard to craft several versions until they are satisfied because they know their work will be seen by other students and that they will be asked questions that only they can answer.

All this forces students to consider speaking strategies, as well as strategies for appropriate facial expressions and body language. Similarly, they have to use active listening strategies when listening to others¡¯ presentations while asking questions. As technology continues to evolve, teachers need to integrate new applications into their teaching so students learn how to communicate with the tools they have at their disposal.

Read our blog posts 'How to motivate and engage students with authentic video' and '21st-century skills and the English language classroom'.

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    AI scoring vs human scoring for language tests: What's the difference?

    By Charlotte Guest
    Reading time: 6 minutes

    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 ɫèAV'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 ɫèAV and experience the difference that a meticulously crafted test can make.

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    Using language learning as a form of self-care for wellbeing

    By Charlotte Guest
    Reading time: 6.5 minutes

    In today¡¯s fast-paced world, finding time for self-care is more important than ever. Among a range of traditional self-care practices, learning a language emerges as an unexpected but incredibly rewarding approach. Learning a foreign language is a key aspect of personal development and can help your mental health, offering benefits like improved career opportunities, enhanced creativity, and the ability to connect with people from diverse cultures.

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    Understanding dialects in the English language

    By Charlotte Guest
    Reading time: 7 minutes

    Language reflects the diversity of human culture and society. Among its most fascinating parts are dialects, regional or social varieties of a language distinguished by pronunciation, grammar and vocabulary. Dialects are the heartbeat of a language, pulsing with the rich stories, traditions and identities of those who speak them.

    Understanding a language and dialect, and its significance, can enrich the learning experience for language learners, offering a deeper appreciation of a language and its speakers. Dialects are not just variations within a language; they are often considered separate entities, each with its own rich history and cultural significance, highlighting the complexity and diversity of linguistic expression.

    What exactly is a regional dialect?

    At its core, a dialect is a variation of a language spoken by a particular group of people. However, the distinction between dialects and a different language can often be subjective. These variations can occur due to geographical, social class, ethnic, or historical reasons. While all speakers of a language share the same basic grammar rules and vocabulary, those speaking different dialects might use unique words and slang or have distinct pronunciations, highlighting the lack of an objective difference between dialects and languages.

    For instance, British and American English are two dialects of the English language that are mutually intelligible, meaning speakers of either dialect can understand, and be understood, by the other. They share the same foundational grammar and most of the core vocabulary but differ in pronunciation, spelling, and some aspects of vocabulary and idioms. Similarly, within Britain or the United States, there are numerous regional dialects (e.g., Yorkshire English, Southern American English) that further showcase the diversity within a single language. Some of these dialects are considered by their speakers to be distinct languages, emphasizing the complex nature of linguistic identity and classification.

    What is an example of a dialect?

    An example of dialect variation can be seen in the Italian language, which boasts a wide range of regional dialects, showcasing linguistic diversity with multiple dialects spoken across Italy.

    For example, the Tuscan dialect has historically been recognized as the basis for standard Italian, largely due to its use in influential literature. However, other dialects from regions like Sicily or Lombardy vary significantly from Tuscan Italian in terms of pronunciation, vocabulary and syntax, reflecting the diverse cultural landscapes and histories of Italy¡¯s regions.

    Another example of this variation of dialect within a single language is found in the United Kingdom. For instance, the Cockney dialect, originating from London¡¯s East End, is renowned for its rhyming slang and distinct vowel sounds, serving as a prime example of spoken dialects that emphasize the importance of oral tradition. Contrastingly, the Geordie dialect, native to Newcastle and the surrounding areas, boasts an entirely different set of vocabulary, pronunciation patterns, and even grammatical structures, further highlighting the diverse range of spoken dialects within the standard English language.

    What is the difference between a dialect and an accent?

    The distinction between a dialect and an accent is subtle yet significant. An accent relates solely to differences in pronunciation - the distinct manner in which people say words, often influenced by unique speech patterns that can vary significantly across different languages and regions.

    In contrast, a dialect encompasses not only pronunciation and accent but also includes specific grammar and vocabulary. Accents can be a component of a dialect, but dialects offer a broader spectrum of linguistic variety, including lexical and grammatical differences.

    For instance, someone might speak English with a Scottish accent but use the same grammatical structures and vocabulary as an English speaker from London; however, Scots, a variety spoken in Scotland, is considered a dialect (or even a separate, distinct language, by some) because it possesses unique grammar, vocabulary and pronunciation.

    Why are different dialects important?

    Dialects are more than just linguistic variations; they are windows into communities' cultural and social fabric. They carry with them histories, traditions and the identity of their speakers. Some dialects are even considered 'distinct languages' by their speakers, highlighting the deep cultural significance of these linguistic forms. Learning about dialects, including regional dialects, can thus offer insights into:

    • Cultural contexts: Understanding the dialects of a language, especially regional dialects, can provide language learners with a richer cultural understanding and a more nuanced perspective of the language¡¯s speakers. This exploration into regional dialects reveals the arbitrary distinction between 'standard' and 'nonstandard' dialects, which is often based on social, political, cultural, or historical considerations.
    • Social dynamics: Dialects can reflect social distinctions, historical migrations and contact with other languages, offering clues about social hierarchies, historical conflicts and integrations.
    • Language evolution: Studying dialects reveals how languages change over time, adapting to societies' needs, migrations and innovations.