Elevating Student Engagement: AI Tools for Customized Learning

Schools are increasingly emphasizing students' development outside of academic achievements. Attendance, behavior, social skills, emotional wellbeing and access to appropriate support are all factors that can impact learning outcomes. An MTSS whole child development platform connects information and intervention processes into a connected environment, supporting educators to understand student needs and coordinate support across all areas. A whole child approach to development asks the school to look at academic issues and behavioral patterns and students' wellbeing not as separate issues, but as a unified whole. Technology can complement that strategy by helping to structure information, support interventions and provide staff with better insight into student progress. Shifting Priorities in Whole Child Education Academic instruction is increasingly being integrated with support for students all around the school. Attendance, assessment, behavioral and intervention records are typically stored in different locations within traditional systems. Connecting all the relevant information in a unified platform can help educators gain the understanding they need to see a pattern that might not have been obvious. Enhanced connectivity of information can help to respond to events earlier and to plan more effectively. Multi-tiered systems of support are also becoming more structured in school settings. Tiered intervention offers flexibility in meeting the needs of students and offers flexibility in the amount of intervention that a school provides. A digital platform can support staff to plan the universal support along with targeted and intensive interventions. Clear documentation helps to understand what strategies have been used and how students responded. There is an increasing priority being placed on data-informed decision-making as teachers look for evidence of what to do when planning interventions. Attendance and behavior records might give information on other factors influencing participation, as could assessment results. When taken as a whole, educators can gain a greater understanding of students' needs. Data should be used to inform professional judgment and not to supplant it. Whole child development is also emerging as the need for family engagement. Parents have the opportunity to include information that may impact student participation and progress. Digital communication tools can facilitate the sharing of updates and can aid in the school's keeping of better records of support activities. Improved communication can promote a more unified approach to interventions and student support. Strengthening Intervention through Practical Solutions Placing students in extra support programs can be challenging when information is distributed among various systems. The ability to view assessment results while being unaware of attendance and behavior patterns. Student profiles that are stored in a centralized database can provide more information, enabling teams to identify concerns at an earlier stage and plan interventions using a wider understanding of student situations. The coordination of intervention responsibilities can also be complicated if a student receives support from more than one educational professional or specialist. Lack of documentation can lead to duplication of efforts or to staff members overlooking follow-up activities. Intervention plans can be shared to assign responsibility, document actions and monitor progress in a single environment. Improved coordination enables teams to have a shared purpose and ensure acceptable accountability. Another practical issue is measuring the effectiveness of any intervention. A strategy might seem to work at first, but not as well in the long run. Progress monitoring tools can set measurable goals and give feedback on student responses on a regular basis. Then, teachers can modify support if results show that it may be beneficial for them to do something different. The reliance on individual spreadsheets, notes, and communication logs by employees creates a significant challenge in maintaining consistent documentation. Repetitive documentation can be minimized, and a standardized digital workflow can provide a consistent structure for intervention records. Templates can help staff to fill in information they have to provide, but can also not unnecessarily restrict when documenting professionally. Technology Advancing Integrated Student Support AI is enabling new opportunities to discover patterns in student data. Use of analytical tools can enable teachers to identify attendance, assessment performance or behavioral changes that may indicate that particular attention needs to be paid to the situation. AI can facilitate information review, but decisions on the need for intervention must be based on professional knowledge, context and appropriate safeguards. Predictive analytics can also be used to more effectively allocate support resources within schools. Analytical models, when carefully designed, can identify patterns that are related to students needing extra support. Findings can serve as an initial indicator and not an end-all, before-mentioned indicator, and human review can be part of the decision-making process. Routine tasks are being streamlined using automated workflows in the management of intervention teams. Reminders can be set up on platforms, staff can be alerted to upcoming tasks, progress can be tracked, and intervention history can be maintained. It can streamline administrative red tape and ensure that all the team members who work with a student have a common understanding of what they are doing. ...Read more

The focus of education is shifting from standardized learning to learning experiences that acknowledge differences in ability, interest, learning pace and academic objectives. Personalized learning solutions can facilitate this shift through tailoring the education content, methodology, assessment, and learner support to the individual needs of each learner. These solutions integrate learning expertise and digital platforms, data-informed approaches, adaptive technologies, and ongoing feedback into more responsive learning environments. With the increasing diversity of learners, personalization is now relevant in schools, higher education institutions, professional training, and corporate learning. Personal approaches are flexible and enhance the ability of educators and training professionals to detect learning gaps, boost engagement, and facilitate lifelong learning. Growth Drivers Strengthening the Personalized Learning Market A key growth opportunity for personalized learning solutions is the growing need for flexible and learner-centered education. Students have a variety of background knowledge, learning styles, goals, and understanding. Platforms can address these differences by tailoring learning journeys and offering content that meets the needs of each learner. Digital environments can offer learners more control of pace, content choice, practice tasks and revision. New opportunities arise for providing customized learning experiences using online learning platforms, mobile applications, virtual classrooms, learning management systems, and interactive educational resources. An educational institution or organization is concerned about the development of specific competencies, not just the curricula. Personalized learning solutions can detect the current skills and suggest learning activities that compensate for the skill gap. Learner analytics can be used to review and interpret performance patterns, pinpoint knowledge gaps, and tailor recommendations to learners' progress. The technologies can assist teachers in providing information that would be hard to detect using formative assessments at regular intervals. Personalized learning can offer employees personalized learning pathways to match their needs and capabilities with the requirements of the organization. Adaptive Technologies and Learner-Centric Experiences Technology is an integral part of the process of building personalized learning environments. Adaptive learning platforms have the ability to change content and activities according to learner responses, performance, and progress. Systems can offer extra practice, new material, and alternative explanations, depending on each learner's needs, rather than having to go through the same process for all. Continuous assessment enables educators and platforms to keep track of the learner's performance during the learning process, and not only at the end of it. Regular feedback can allow misconceptions to be detected earlier and for intervention to take place as timeously as possible. AI can also assist in content recommendations, automated feedback, design of learning paths and analysis of learner progress. Personalization is more than technology. Teaching and learning skills are still a key element of the assessment of learning needs, the development of engaging learning experiences, and the integration of technology to enhance, not replace, effective teaching. Videos, interactive activities, simulations, reading materials, assessments, collaborative activities and practical assignments can all be integrated into personalized solutions. Multiple formats can provide more accessible learning experiences and offer learner access to learning through a method that meets their needs. Strategic Value and Future Opportunities Personalized learning solutions can bring benefits other than better academic outcomes. For schools, they can help to create greater engagement of learners, earlier detection of learning gaps, more specific provision of instructional support, and improved utilization of teaching resources. Personalized training can enhance employee skills for organizations and align skills with evolving business needs. A strategy is needed for successful implementation. Clearly defining learning goals, deciding on what information about learners to gather and ensuring that technology fits into the broader educational systems all require work for institutions. Teachers and trainers need suitable preparation to understand the learning insights and to apply individual strategies in teaching. There is a need to continue to think about data privacy and responsible technology use. Learner information is often used to provide recommendations and track progress in personalized systems. Organizations need to put in place appropriate governance, security, transparency and access practices. Overreliance on automated recommendations may reduce flexibility to mentor, collaborate, discuss and provide personalized support from teachers. The best models will probably be a blend of technology, personalization and meaningful human support. Motivation and sustained participation can be enhanced through progress dashboards, individualized goals, feedback and recommended learning activities. While digital platforms can scale personalized learning to many, there is a need to invest in them to ensure that they possess relevant content, accurate recommendations, accessible interfaces, and effective instruction. AI, adaptive assessment, immersive learning, skills mapping and predictive analytics will likely be more deeply woven into a personalized learning solution. Personalized learning will continue to be a key strategy area, as education and workforce development become flexible and skills-based. Technology, instructional knowledge, learners' data, and human guidance can all be integrated and utilized to help shape more responsive educational experiences and better long-term learning outcomes when used together. ...Read more

STEAM continues to drive a global shift in education, with a growing emphasis on preparing learners for a future that demands more than expertise in a single subject. Today’s challenges require imaginative inquiry and collaborative, creative problem-solving to navigate complex societal changes. One of the most effective ways to achieve this interdisciplinary and holistic learning approach is through STEAM, which combines Science, Technology, Engineering, the Arts, and Mathematics. These programs have gained significant traction in schools, universities, and communities worldwide as educators increasingly recognize the value of developing well-rounded skill sets in students. STEAM education challenges students to examine a problem through multiple lenses, merging an almost technical rigor of STEM fields with the creativity and innovation associated with the Arts. The development of analytical and creative thinking, which are needed to solve real-world problems, is promoted by the emphasis on STEAM rather than on teaching one subject versus another but instead establishing an environment where the student can relate across disciplines by applying the knowledge in practical, hands-on ways. The Contribution of STEAM Programs to Education The most significant advantage of STEAM programs is that they help develop students' critical thinking and problem-solving skills. Combining science and mathematics with the creative approaches of the arts encourages students to examine problems from multiple perspectives, ultimately better preparing them to devise innovative solutions. This interdisciplinary approach offers students an interactive experience with the material, allowing them to see how concepts from one field can influence and transform another. In fields like design and digital media, this combination prepares students for careers in technology-driven industries such as robotics, artificial intelligence, sustainable energy, and interactive media. As the world increasingly relies on technology and innovative solutions in every sector, there is a growing demand for workers who can merge technical skills with creativity. STEAM programs incorporate the arts to foster creativity and emotional intelligence in students, enabling self-expression, abstract thinking, and innovative problem-solving. This holistic approach nurtures well-rounded individuals who can tackle challenges from a broader perspective. Current Trends and Innovations in STEAM Education The popularity of STEAM programs has led to innovative trends transforming how these programs are implemented in schools and institutions worldwide. One of the most exciting trends is project-based learning (PBL). This approach teaches students to collaborate on projects within real-world contexts, requiring them to apply their knowledge in an interdisciplinary manner. PBL reinforces key concepts and develops essential skills such as teamwork, communication, and problem-solving. These skills are increasingly important in a labor market that demands personal proficiency. With many technology resources beyond STEAM learning, students can create software, prototype real-world designs, or experiment in virtual simulation using coding boot camps, robotics kits, and digital fabrication tools in STEAM education. These curricular projects help not only to develop technical knowledge but also promote conceptualization for creative thinking. For example, initiatives are to ensure equitable access to STEAM opportunities for underrepresented audiences such as women and minorities. Research indicates that diverse teams are more innovative and are better equipped to tackle complex problems. Challenges and Opportunities for Growth in STEAM Education However, there remain challenges to successfully and sustainably realizing the promise presented by STEAM programs. One major challenge is the lack of funding and resources many schools face, especially those in impoverished districts. Because implementing STEAM programs requires specialized equipment, technology, and trained educators, costs become a vital deterrent factor. As a result, many schools cannot implement these programs because budget constraints restrict their capacity to invest in the necessary infrastructure. The STEAM domain faces a significant training gap due to a lack of interdisciplinary knowledge among experts. Professional development and collaboration are crucial for project success. However, free online resources for learning coding, design, and engineering principles offer growth opportunities. Partnerships with community organizations, businesses, and universities are also being used to enhance students' learning experiences and career connections. The Future of STEAM Programs The future of STEAM programs is bright because ongoing advancement in both technology and education sets precedence for revitalizing learning experiences at once more dynamic and personal. As more schools and educational institutions move forward into realizing the power of STEAM, we can also expect to see much more use of cutting-edge technologies, such as artificial intelligence, virtual reality, and robotics, becoming complete in lessons and projects that take students into new frontiers of learning. The private sector will continue engaging educational institutions even more because the demand for qualified professionals in STEAM fields is increasing. Companies define curriculum and offer mentoring opportunities or internships for students, thus directly paving the way between education and employment by aligning with needs across industry sectors. Education will consequently guarantee that students are now prepared not only for today's jobs but also for jobs of tomorrow. ...Read more

CheckIT Learning CEO Myriam Da Silva invited to speak at a global interactive webinar hosted by GIEE and Geneva Forum White Bear Lake, MN - CheckIT Learning, a global edtech startup providing neuroscience-based classroom tools, announced today that its CEO Myriam Da Silva, will be joining an interactive global webinar “AI – The Education We Want”, as part of the Road to Geneva 2027 leading towards the Geneva AI Summit 2027. Hosted in partnership by Geneva Forum, Global Inclusive Education Ecosystem (GIEE), Sustainable Progress and Equality Collective (SPEC), and GOER – Global Online Education Regulator, this webinar will open a dialogue on integrating AI into education while safeguarding educators' role and autonomy. Myriam Da Silva, CEO of CheckIT Learning, will present the case study led by CheckIT Learning on AI and Special Educational Needs and Disabilities (SEND) education. The initiative brings together Mary T. Bhardwaj, Assistant Superintendent of Teaching, Learning and Professional Growth at the Exceptional Learners Collaborative; Mark Hooley, CEO and Founder of the Global Online Education Regulator (GOER); Barbara Pape, Founder and Executive Director of The Center for Belonging and Learning; Dr. Rhianna C. Rogers, Principal Investigator; Johns Hopkins University, Ahmed Thili of the University of Beijing; and Sirine, Youth Advocate with the Global Partnership for Education. The research addresses an important gap in the Science of Learning evidence base. While existing research has generated practical recommendations, SEN learners remain underrepresented in much of this work. The study will therefore examine which learning-science principles and strategies are accessible and applicable for SEND learners, where adaptations are needed, and how those insights can inform more inclusive AI-enabled education and technology. The presentation will address these 2 questions:  • What if the greatest risk of AI in education is not that machines become too intelligent, but that humans gradually stop exercising the very capacities that machines can perform for them?  • What kind of human beings, what type of education, and what type of society do we want? And what kind of AI could genuinely help us bring them into being? “Conversations on teacher autonomy and learning experiences must take place now, while the role of AI is being defined in education. This is vital for ensuring its effective use in classrooms worldwide and shaping the education of the future,” says Myriam Da Silva, CEO of CheckIT Learning. “I am truly honored to join technologists, regulators, equity advocates, and fellow educators who bring their diverse perspectives to the table to address one of the most critical questions in education today.” The AI workshop “The Education We Want” is part of a larger conversation on AI in education that will continue at the 18th Geneva Forum (December 7–11, 2026) as an introductory session leading to the Geneva AI Summit 2027. Recognizing the scope of change driven by AI and its fast pace of evolution, these sessions will address critical questions in education: • Will an AI that answers almost instantly make the next generation less autonomous and less resilient? • Could algorithmic personalization lock each learner into what a machine already thinks it knows about them? • Could an increasingly AI-assisted school become more "efficient" while producing people who are less able to act without assistance? The event will take place on October 13 between 4:00 PM and 6:00 PM CEST. This will be a valuable opportunity for education leaders, edtech professionals, policymakers, researchers, and parents to gain critical insights on ensuring the safe and effective use of AI in education. Geneva Forum is a UN-affiliated incubator for initiatives advancing the UN Sustainable Development Goals. The partners organizing the event are part of the Global Impact Project, The Learning Project Foundation. ...Read more