Many people are surprised at the idea of a computer program marking an exam paper. However, computer-based testing already exists in many different formats and many different areas. Many tests or exams that form part of our daily life are taken on computers. If you’ve ever learned to drive, sat a citizenship test, done a training course at work, or completed a placement test for a language course, the odds are that you’ve already taken an automated test.
Yet despite it being so common, there is still a lack of understanding when it comes to computer-based language assessment and how a computer can evaluate productive skills like speaking and writing.
A common issue is that people have different ideas of what these tests entail. Computers can fulfill several essential roles in the testing process, but these often go unacknowledged. For example, a variety of test questions are needed to administer an exam, along with relevant data, and computers are used to store both the questions and the data. When it comes to creating randomized exams, computer software is used to select the exam questions, based on this data.
Computers can make complex calculations far more quickly and accurately than humans. This means that processes that previously took a long time are completed in days, rather than weeks.
Artificial intelligence (AI) technology is now capable of grading exam papers, for example. This means a shorter wait for exam results. In , candidates receive their results in an average of two days rather than waiting weeks for an examiner to mark their paper by hand.
People take exams to prove their skills and abilities. Depending on their goals, the right result can open the door to many new opportunities, whether that is simply moving on to the next stage of a course, or something as life-changing as allowing you to take up your place on a university course in another country.
A qualification can act as a passport to a better career or an enhanced education, and for that reason, it’s important that both students and teachers can have faith in their results.
Computer programs have no inherent bias, which means that candidates can be confident that they will all be treated the same, regardless of their background, appearance or accent. , just one of ɫèAV’s computer-based exams, offers students the chance to score additional points on the exam with innovative integrated test items.
This integration means that the results are a far more accurate depiction of the candidate’s abilities and provide a truer reflection of their linguistic prowess.
It’s not as easy as simply transferring the questions onto a computer screen. All that does is remove the need for pen and paper; this is a missed opportunity to harness the precision and speed of a computer, as well as its learning potential.
Tests that have been fully digitized, such as PTE Academic, benefit from that automation; eliminating examiner bias, making the test fairer and calculating the results more quickly. Automated testing builds on the technological tradition of opening doors for the future – not closing them.
The development of automated testing technologies doesn’t merely make the examination process quicker and more accurate – it also gives us the chance to innovate. Speaking assessments are an excellent example of this.
Previously, this part of a language exam involved an interview, led by an examiner, who asked questions and elicited answers. But now that we have the technological capability, using a computer offers students the chance to be tested on a much wider range of speaking skills, without worrying about the inherent bias of the examiner.
Indeed, the use of a computer-based system facilitates integrated skills testing. Traditionally, language exams had separate papers focusing on the four skills of reading, listening, speaking and writing. But the more modern concept of language testing aims to assess these linguistic skills used together, just as they are in real-life situations.
Afterwards, the various scores are categorized to allow learners an insight into their strengths and weaknesses, which helps both students and teachers identify areas which need improvement. This useful feedback is only possible because of the accuracy and detail of automated exam grading.
Back in the 1960s, during the space race, computers were still a relatively new concept. Kathleen Johnson, one of the first African-American women to work for NASA as a scientist, was a mathematician with a reputation for doing incredibly complex manual calculations. Although computers had made the orbital calculations, the astronauts on the first space flight refused to fly until Kathleen had checked those calculations three times.
This anecdote reminds us that - although computer technology is an inherent part of everyday life - now and then, we still need to check that their systems are working as they should. Human error still comes into play – after all, humans program these systems.
Every stage of PTE Academic, from registration to practice tests to results (both receiving and sharing them with institutions) happens online. It may come as a surprise to learn that the test itself is not taken online. Instead, students attend one of over 295 test centers to take the exam, which comes with the highest levels of data security.
This means that each student can sit the exam in an environment designed for that purpose. It also allows the receiving institutions, such as universities and colleges, to be assured of the validity of the PTE Academic result.
We created computers, but they have surpassed us in many areas – exam grading being a case in point. Computers can score more accurately and consistently than humans, and they don’t get tired late in the day, or become distracted by a candidate’s accent.
The use of AI technology to grade student responses represents a giant leap forward in language testing, leading to fairer and more accurate student results. It also means more consistency in grading which benefits the institutions, such as universities, which rely on these scores to accurately reflect ability.
And here at ɫèAV, we are invested in staying at the cutting edge of assessment. Our test developers are incorporating AI solutions now, using its learning capacity to create algorithms and build programs that can assess speaking and writing skills accurately and quickly. We’re expanding the horizons of English language assessment for students, teachers and all the other professionals involved in each stage of the language learning journey.
Whether you're hiring new talent or upskilling your current team, understanding the level of English proficiency required for specific roles is crucial. In today's global business environment, effective communication is key to success, and that's where the Global Scale of English (GSE) comes into play.
Staying ahead requires not just talent but the right talent. For HR professionals, ensuring that employees are equipped with the necessary skills is crucial for maintaining a competitive edge. Enter the GSE Job Profiles—a game-changing tool designed to facilitate role-targeted upskilling by mapping English language skills to specific job roles. This blog post will explore how HR teams can leverage this innovative tool to enhance workforce capabilities efficiently and effectively.
The GSE Job Profiles utilizes ɫèAV’s Global Scale of English and the Faethm by ɫèAV skills ontology to provide a detailed analysis of the language requirements for nearly 1,400 job roles. This precise mapping allows HR professionals to make informed talent management decisions, including hiring, training and development, and ensuring that employees are adequately prepared for their roles now and in the future.
English is the international language of business and a foundational skill for many roles. The right level of English proficiency is key for individuals and businesses to excel.
But what is the “right” level?
English is not a one-size-fits-all skill. Customer Service Representatives need different English skills to IT Systems Managers. Senior staff will often need more advanced English skills than junior staff.
