We aim to improve life chances by using artificial intelligence, learning and design to create conditions for all human beings to discover, develop and make full use of their abilities.
Services in Education
- Teacher development courses and mentoring
- School consulting in curriculum implementation, bilingual teaching, and use of technology
- Curriculum design
- Project and programme management for education initiatives from governments, foundations and industry
- A range of online courses in teacher development, bilingual education, and addressing post pandemic education
Please contact us for more information
Electronic Student Records (ESR)
An ESR is a secure cloud system for keeping records of each pupil. It is easy to implement and holds the school history of a pupil, covering teacher assessments, exam and test results, and school reports. All relevant electronic or scanned documents can be stored in the ESR. The ESR is configured for a school, but the standard record format means that the record is easily transferred with a pupil when they change school. It is intuitive to use. The Gigalime ESR will reduce administrative costs and free up time for teachers to concentrate on teaching.
The data held in the ESR can be used with Gigalime artificial intelligence to identify trends and make recommendations to teachers about pupils who are showing signs of being at risk.
The ESR is part of Gigalime’s EDGE platform for digital transformation of education.
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Good educators are mentors, not knowledge banks
Artificial intelligence can help to personalise learning. Artificial intelligence is increasingly being deployed across different sectors. In return these programmes curate our personal lives, sorting our news timelines and arranging our photos, making music recommendations, and suggesting what time we should leave to beat the traffic. Behind the scenes, this technology is increasingly taking over day to day decision-making in business; investing in stocks, replenishing supermarket shelves and even identifying criminal suspects.
What could this technology do for education? Many EdTech experts who spoke to the Atlantis Group (https://www.varkeyfoundation.org/what-we-do/atlantis-group) argued that the future of education lies in “personalised” learning programmes driven by artificial intelligence. Such technology gathers data about a learner’s performance over time and suggests different interventions to help them improve. As one developer put it: “With our system you create a tailored, unique learning experience optimised by student needs. We’re using deep neural networks that map the knowledge state and goals of a student.”
But understanding what artificial intelligence actually knows about students’ learning is complicated. And pinning down what personalisation really means in terms of education can also be difficult. When asked by the Atlantis Group, expert contributors offered a range of different definitions. One stated: “It’s around creating personalised learning paths through competencies.” Another argued that personalisation is: “a learning process that adapts to your strengths.” A third noted that the purpose of personalised learning is simply to deliver “the right lesson to the right student at the right time.” All three examples may serve as working definitions for the developers – and maybe for the people using the products. But all speak to different ideas of what personalisation is. As one Atlantis Group member reflected: “The world ‘personalisation’ was the most frequently used idea for what a system might look like in the future, but people seemed to use it to talk about individualisation, while all of us around this table [the Atlantis Group] think of learning as a social process.”
But a personalised approach does have promise. It’s a well-established principle that effective education systems should make sure that the teaching considers the level of the student. In practice, however, it is difficult to do this for each and every student in the system. In many systems just a fraction of learners are able to keep up with the curriculum, and most fall behind. Personalisation technology offers a range of powerful new diagnostic tools to help keep learners and teachers on track..
At scale, it could help ministers to understand how learners across a country are keeping up with the curricula. Such technology may be a particularly powerful approach for remedial or supplementary learning, to help the weakest and most disadvantaged learners keep up with the curriculum. But such an approach still requires the intervention of a teacher, to ensure that students are actually learning instead of just passing badly designed routine tests. Policymakers will need to ensure that such technology serves the learner as a whole, based on a comprehensive curriculum. As one Atlantis Group member argued “Personalised teaching is only good up to a point, because we don’t want students to learn [only] what they want; we want them to have a basic knowledge of language, history, et cetera. Personalised knowledge should be a way of helping to progress through the curriculum with some flexibility.”
Data-driven learning may well be the future of education. But at what cost to learners’ privacy? Our digital world is built on data. Big data has transformed the way we do business, and the ways that industry works. It’s time to do the same in education.
We invite you to contact us for further discussion.
“Education is the passport to the future,
for tomorrow belongs to those who prepare for it today.”