Types of artificial intelligence tools and systems and their functions

Artificial intelligence analytics in education collect and analyse data on student activity and achievement in digital environments, providing educational stakeholders with a reliable basis for improving teaching and learning. These tools offer detailed insights into student progress, class participation dynamics, and potential risks of course failure, supporting timely and targeted improvements to the educational process.

In higher education, where large group sizes often prevent continuous individual monitoring, analytics tools facilitate evidence-based decision-making, the development of quality feedback, and curriculum optimisation.

Technical features of artificial intelligence analytics in education include:

• Automatic collection of data on student participation and performance in courses
• Analysis of behavioural and learning patterns using machine learning algorithms
• Visual display of learning indicators through overview reports for teachers and students
• Predictive analytics for early identification of students at risk
• Identification of curriculum components or activities that need adjustment.

Examples of artificial intelligence analytics tools:

• Quizizz
  

  • Functionality: Quizizz is an online quiz platform that provides detailed reports on student performance at the question, task, quiz, and group levels. After each attempt, teachers can see which tasks were most difficult, the typical errors made, and how much time students spent on each task. Built-in artificial intelligence features, such as question generation and task suggestions, further support the design of knowledge assessments.

  • Relevance for education: The platform is widely used in education as a tool for formative assessment and student motivation. Basic features are available in the free version, while more advanced options – such as detailed analytics, additional task types, and integrations – are offered in paid versions.

  • Pedagogical potential: Quizizz enables rapid collection of data on students' understanding of material and provides teachers with insights into individual and group learning patterns. Using the analytics, teachers can plan targeted review lessons, additional exercises, or differentiated assignments for students who need more support. Students receive immediate feedback on their performance, with game elements that increase engagement.

  • Practical example: In a partially online class, a teacher conducts short diagnostic quizzes in Quizizz at the beginning and end of a thematic unit. After the quiz, the teacher analyses the reports to identify the most difficult questions and the concepts that confuse students the most. Based on this data, the teacher plans additional explanations, short review activities, and differentiated assignments for students who need more support, while offering more challenging tasks to students who demonstrate high performance.

• Eduaide.AI Feedback Bot
  

  • Functionality: Eduaide.AI is a multi-functional tool for teachers that includes a Feedback Bot module for automated feedback generation on student writing. The teacher enters the text of the paper into the tool, selects an evaluation model or sets criteria, and the Feedback Bot analyses the text and generates structured, descriptive feedback focused on areas for improvement.

  • Relevance for education: The tool is designed specifically for teachers’ needs, such as lesson planning, assignment creation, and evaluation. It is accessible through a browser, with a free plan offering a limited number of requests and additional features available in paid versions. Feedback Bot can be used for various types of written work (essays, reflections, short-term papers) and helps create initial draft feedback.

  • Pedagogical potential: Feedback Bot can accelerate the process of providing formative feedback and free up teachers’ time for deeper interpretation and discussion with students. When used thoughtfully, in combination with clearly defined criteria and metacognitive activities (for example, students compare the AI-supported feedback with the criteria and develop their own improvement plans), the tool can foster self-regulation and written communication skills. It is essential to emphasise that the teacher remains responsible for the final assessment and for verifying the accuracy and fairness of the feedback.

  • Practical example: Students submit a draft of a written work in digital form. The teacher, along with his/hercomments, also runs part of the work through the Eduaide.AI Feedback Bot to receive a draft of structured feedback on areas for improvement. Students then compare the feedback with the AI-generated evaluation criteria and create a short improvement plan for the next version of the work, specifying what they will change and why. In this way, the tool’s analytical function serves as a starting point for developing self-assessment and metacognitive skills, while the teacher retains control over the final assessment.

• Century Tech
  

  • Functionality: Century Tech is a platform that connects adaptive learning with learning analytics. It uses artificial intelligence to create personalised learning paths, continuously collecting data on student activity, performance, and errors. It provides teachers with dashboards that offer an overview of progress, identify areas where students are struggling, and generate recommendations for pedagogical interventions.

  • Relevance for education: Century Tech is used at both school and higher education levels as a system that combines content, adaptive learning, and analytics. It is a commercial solution that integrates with existing infrastructure (such as LMS and school information systems), and it is designed for long-term monitoring of student progress at the course, study program, or institution level.

  • Pedagogical potential: The platform enables teachers to use visual reports on progress and risks instead of manually reviewing numerous assignments and grades. Analytical insights (such as which concepts are most problematic, which students are lagging behind, and where typical misconceptions occur) can inform planning for additional explanations, workshops, differentiated activities, or individual consultations. For students, a personalised learning path and clear visualisation of progress can increase their sense of control and motivation to learn.

  • Practical example: In a curriculum where Century Tech supports the learning of core material, teachers review progress and risk reports weekly. Analytics indicate that a certain proportion of students are at risk of failure because they are lagging in mastering key concepts. Based on this data, teachers organise additional online review activities, targeted consultations, and small group support. In the following period, reports show a decrease in the number of students at risk and improved passing rates on final knowledge tests.