The advent of IoT, big data and advanced analytics has brought about substantial changes in the
academic landscape - transforming it in ways that were never imagined before.
Education
It is true that digital technology is already transforming the education sector, but there is so much more that can be achieved. Innotelligent is passionate about improving learning and assessments standards across all levels of education - from early years and schools, to vocational and higher education, and on to professional development trainings. With the pace of digital technologies, education of the future will be very different from what we have today.
Student Information & Learning Management Systems
Due to the growing global competition and increasing demand from learners, student information and learning management systems are changing from those designed to meet the needs of educational institutions to learner-centric.
Information stored in the systems, such as students’ prior achievements, details about their activities, learning environments and demographic data are good predictors for implementing learning analytics. Advanced predictive analytics can identify students at risk of poor performance, promote reflection and self-regulated learning, help in understanding the impact of instructional design patterns and delivery on students’ performances, and also identify sources of systematic inequity.
Technology-Assisted Examinations Administration, Delivery & Processing
In a world that is increasingly dominated by digital technology, many tests are now being delivered via the computer.The use of computers to deliver tests offers several security and logistic benefits. Furthermore, e-assessment provides the opportunity to capture a rich array of data, which can be analysed to make decisions on quality improvement and also gain more insights into test validity and reliability.
Although computer-based testing offers many advantages compared to paper, it is not practicable for all exams due to a number of reasons. This has led to the development of innovative software platforms and workflows to support and enhance paper-based testing.
Classrooms & Exam Halls Surveillance
Attempting to recreate the visual capabilities of humans is still a major challenge, but intelligent real-time computer vision systems now give machines the ability to see and interpret scenes the same way a human does but in much more objective and uncompromising ways. Facial recognition technologies are becoming more prevalent in schools for tracking attendances, monitoring and analysing learners’ behaviours and actions, and facial expressions to determine their level of concentration and interests during lessons.
The battle against exam malpractices needs to be more drastic as cheating has become hi-tech with the internet and proliferation of mobile devices. Exam hall surveillance systems can detect cheating patterns and weed out bad candidates and invigilators.
Advanced analysis of academic and demographic data enhances student engagement, performance and overall experience, which are now very critical to attracting and retaining the best students.
Innovative digital technology has paved the way for institutions to leverage academic and demographic data.
Big data has the potential to make a great impact on the classroom. Not only does it provide valuable information about student’s preferred learning modes, but it also enables personalised learning experiences.
Exam hall monitoring using IoT-enabled surveillance cameras coupled with real-time computer vision will curb malpractices.