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The role of AI in enhancing student success and engagement

Curious how AI for student success turns tough classes into wins? This post unpacks the benefits of AI in education, from smarter analytics to fun, tailored lessons. Ready to level up? 

The role of artificial intelligence (AI) in education is no longer a futuristic idea – it’s a living, breathing part of how students learn and succeed. Across the globe, universities are adopting intelligent tools that reshape classrooms, from adaptive learning platforms to smart analytics. Surveys show that nearly 86% of students use AI tools to support their studies (Educause, 2024). These tools don’t just simplify tasks; they build confidence, enhance comprehension and increase academic performance. 

For modern learners, AI in education is about accessibility and support. From real-time feedback to predicting academic challenges, AI is changing how students engage with learning materials and how educators respond. Studies confirm that AI-supported learners can see 54% higher test results and tenfold engagement improvements compared to traditional learning methods (McKinsey, 2023). 

As AI becomes more embedded in higher education, its impact on motivation, accessibility and learning quality continues to expand – and the best part? The benefits are measurable and deeply human. 

The role of AI in education 

AI is redefining what success looks like in higher learning. The benefits of AI in education extend far beyond digital assistance. AI platforms track performance, suggest tailored learning paths and recommend resources that align with each learner’s pace and capability. 

A recent study by UNESCO (2024) highlights that AI for student success improves academic outcomes by providing personalised feedback loops and instant remediation options. Adaptive tutors can assess comprehension within seconds, bridging gaps before they widen. 

Core benefits of AI in higher education include: 

  • Personalised learning paths that adapt to each student’s pace and performance. 
  • Predictive analytics to identify at-risk learners early. 
  • Virtual teaching assistants that answer academic questions 24/7. 
AI function Educational benefit Example application
Predictive analytics Identifies at-risk students early Dropout prevention systems
Adaptive learning Customises pace and difficulty Smart content delivery
Natural language processing Offers instant writing feedback Grammar and clarity checkers
Data dashboards Tracks real-time performance Instructor intervention tools

Such technologies ensure learning is both dynamic and data-driven, keeping students motivated while reducing achievement gaps. Programmes like the BSc (Hons) Computer Science and Information Technology (60 ECTS/year) and MSc Information Technology Management (90 ECTS) help students understand how these AI-powered systems work, enabling them to contribute to more effective and inclusive learning solutions in the future.

Empower Student Success With AI

How AI for student success personalises your path 

Students using AI-powered study systems consistently perform better on exams and coursework. According to Educause Research, learners in AI-assisted courses show a 30% improvement in comprehension and retention rates. 

These tools analyse behaviour patterns to predict challenges and suggest interventions before performance drops. Imagine an algorithm that notices you rewatching a video twice, that knows you need help and immediately provides you with alternative explanations or quizzes. 

The integration of AI for student success isn’t just improving grades; it’s transforming student experiences. Many universities use predictive algorithms to identify when students might be struggling. For instance, IBM’s Watson Education platform monitors engagement levels and flags areas where extra help is needed (IBM, 2024). 

These predictive systems have been shown to reduce dropout rates by up to 20%, ensuring that support is both proactive and timely. Instead of one-size-fits-all teaching, educators can offer differentiated instruction based on precise AI insights. 

When applied well, AI in higher education strengthens relationships between teachers and learners by freeing up time for mentorship and deeper discussion. 

Quick numbers: 

  • 54% increase in average test performance 
  • 30% rise in retention and course completion 
  • 40% fewer dropouts in universities using AI analytics 

AI for student success isn’t about replacing teachers; it’s about supporting smarter decisions, timely help and personalised learning for every individual. Beyond its classroom benefits, understanding the science and algorithms behind AI equips today’s students to work confidently with the technologies shaping tomorrow. Turning them from users of innovation into future creators of it. 

How AI transforms the learning journey 

AI has redefined the study cycle, from preparation to assessment. AI in higher education ecosystem now supports academic writing, exam preparation and research collaboration. Students can receive instant feedback on essays or generate visual models for complex theories. 

For example: 

  • ChatGPT-based assistants clarify topics 
  • Quiz-generation tools enhance recall 
  • AI study planners optimise revision schedules 

According to PwC (2024), AI-supported learners demonstrate 40% faster comprehension and better performance consistency. For international students balancing studies with part-time work, such efficiency can be life changing. 

Enhancing engagement through adaptive learning 

Engagement is the heartbeat of learning and remains one of the strongest indicators of student success. AI has given rise to what experts call adaptive engagement, systems that continuously adjust to learner behaviours. AI enhances this through gamification, adaptive challenges and real-time interaction. For example, platforms like Knewton and Coursera’s AI modules personalise quizzes and suggest next steps based on prior activity. 

According to Deloitte (2024), AI-based tutoring increases interaction frequency by nearly 10 times compared with passive lecture methods. 

When learning becomes interactive and data-driven, motivation follows. Students see visible progress, track their milestones, and receive encouragement based on real metrics, not just grades. 

Imagine a platform that detects when a student hesitates about a concept, instantly suggesting a video or simulation. This is not just efficiency; it’s empowerment. Students report greater confidence, and teachers gain insight into how learners progress week after week. 

AI in education thus becomes a tool for curiosity, ensuring students remain active participants rather than passive recipients. 

Personalised learning and accessibility 

Personalised education is one of the greatest benefits of AI in education. Algorithms track learning styles and adapt lessons in real time, ideal for students who require varied approaches. A Stanford University study (2023) found that personalisation through AI increased retention by 30%, particularly among international learners. 

Accessibility is another strength. Voice recognition and text-to-speech functions help students with disabilities or language barriers engage fully. For non-native English speakers in Malta, these tools make higher education smoother and more inclusive. 

  • AI chatbots answer queries instantly 
  • Translation tools support multilingual students 
  • Speech-to-text aids dyslexic learners 
  • Adaptive quizzes strengthen comprehension 

Each of these advances demonstrates how AI for student success creates a more equitable and responsive educational environment. 

AI in education and accessibility 

For international students, language and pace often pose hurdles. AI-driven translation and transcription tools bridge that gap. Platforms like Duolingo’s adaptive AI engine show how customised feedback improves second-language proficiency faster than traditional tutoring. 

Similarly, accessibility tools powered by AI (speech-to-text, captioning and emotion recognition) ensure inclusivity for learners with disabilities. Universities adopting these systems report a notable improvement in satisfaction scores across diverse student groups. 

At GBS Malta, our educational pathways directly equip students with the skills to design, develop and implement these transformative technologies. Through the BSc (Hons) Computer Science and Information Technology, students gain foundational and advanced knowledge in AI algorithms, machine learning, and software development, enabling them to create accessibility solutions and intelligent educational platforms. The MSc Information Technology Management (or relevant specialisation) takes this further, allowing postgraduate students to conduct cutting-edge research in AI applications, human-computer interaction, and ethical technology design, directly contributing to innovations in educational accessibility. 

The MSc Information Technology Management pathways include: 

  • MSc Information Technology Management (General pathway)  
  • MSc Information Technology Management and Cybersecurity  
  • MSc Information Technology Management and Data analytics  
  • MSc Information Technology Management and Cloud Computing  
  • MSc Information Technology Management and Artificial Intelligence      

Across both programmes, students engage in practical projects and real-world case studies where they develop tools that translate languages, generate captions, and implement emotion recognition systems. This hands-on experience ensures graduates leave with portfolio-ready projects and the competency to address genuine accessibility challenges in higher education. By combining technical expertise with knowledge of responsible data practices and inclusive design principles, students understand not just how technology works, but how to create technology that genuinely improves education outcomes for all learners. 

In short: AI makes higher education not just smarter but fairer, and our graduates are building it. 

Challenges and ethical considerations 

While the benefits of AI in education are undeniable, challenges exist. Concerns about data privacy, algorithmic bias and equitable access must be addressed. Ethical frameworks–like those promoted by OECD (2024)–recommend transparent AI systems that ensure fairness and inclusivity. recommend transparent AI systems that ensure fairness and inclusivity. 

Institutions must also invest in AI literacy for both students and staff. Understanding how algorithms make decisions builds trust and accountability in the learning process. 

GBS Malta’s vision for the future of AI in higher education 

For GBS Malta, the future of education lies in balance, where technology complements teaching, not replaces it. The institution continues to explore ethical and effective uses of AI in education, ensuring transparency and fairness while advancing digital inclusion. 

Our MSc Information Technology Management with specialisation in AI takes this vision even further, equipping students with future-ready skills in AI, experience design, machine learning and more. It’s designed to help you master the technologies shaping tomorrow’s digital landscape while opening doors to high-growth tech careers. 

Through its modern facilities, expert faculty, and commitment to personalised support, GBS Malta empowers learners to embrace AI confidently helping them succeed in their studies and in their future careers. 

For students seeking a future-ready education in Malta and beyond, integrating AI into their academic journey isn’t just an advantage, but the new standard for success. 

Looking to experience education that blends innovation with support? 

Apply Now at GBS Malta for the February 2026 intake (EU applicants only), and for the May and September 2026 intakes for all applicants. 

FAQs

1. How does AI improve student learning outcomes?

By tracking progress and adapting content to each student’s needs, AI tools boost understanding, retention and engagement. 

2. What does the BSc in Computer Science and IT at GBS Malta cover?

The BSc in Computer Science and IT provides a strong foundation in programming, data structures, algorithms, software engineering, databases, AI, cybersecurity and cloud technologies. Students build practical skills through hands-on projects and real-world problem-solving. 

3. What career paths can BSc Computer Science graduates pursue?

Graduates can move into roles such as software developer, data analyst, AI engineer, cybersecurity specialist or systems architect. The programme’s industry-aligned curriculum and hands-on project work prepare students for high-demand tech sectors in Malta and internationally. 

4. Are the programmes recognised and accredited?

Yes. Both the MSC IT Management (90 ECTS) and BSc Computer Science and IT (180 ECTS) are fully aligned with the European Qualifications Framework (EQF) and accredited in Malta, ensuring graduates receive internationally recognised qualifications. 

5. What will I study in the MSc IT Management programme?

The MSc IT Management combines advanced technical modules with leadership and management-focused learning. Topics typically include IT strategy, digital transformation, project management and emerging technologies that shape modern IT operations.