adaptive assessments Archives

Generative AI (GAI) has the potential to transform the task of educators by 54%, STEM professionals by 57%, and creators by 53%, says a 2023 McKinsey report. This only highlights the massive potential of GAI to transform pedagogy, learning, and authorship. AI is also driving us to re-examine how we deliver education, and, most fundamentally, why. This blog takes a deep dive into how a collaboration between humans and AI for Education (AIEd) can be instrumental in defining the future of learning.

AI for Content Curation

UNESCO emphasizes that despite GAI’s ability to make quality education available in the remotest places, where schools have not yet reached, the role of educators and conducive environments remains paramount. Educators and policymakers need to define the trajectory and establish the norms for AI applications to ensure the achievement of learning outcomes.

Content curation involves careful congregation, compilation, and communication of value-added knowledge, pertinent to each learner’s goals. AI in education content development can thus study the diversity and multiplicity of effective learning approaches, and help educators evaluate the various education models to gain a broader understanding of what effective, meaningful engagement might look like across a variety of contexts. AIEd enables resource selection, contextualization, curriculum planning, design, and development of learning in multiple ways.

Audience Analysis and Requirement Assessment

The curricular requirements have broadened to include creative thinking, problem solving, and soft skills in education. AI systems can be active even before education planning begins, to gather learner data and use it to assess student proficiency, learning preferences, and goals. These insights can be instrumental in curriculum planning, leveraging predictive AI to fill the gaps between current learner levels and future skill requirements.

DEI-Enabled Education Design

The design phase is critical to ensuring the accessibility and inclusivity of learning materials. Content development with AI-powered tools can power education publishers to incorporate the needs of learners with special needs, ensure regulatory compliance, and drive curriculum-focused learning outcome achievement from the design stage itself. These tools can identify suitable templates and formats, such as interactive language exercises, simulations, and virtual laboratories, to deliver learning in ways students can assimilate it most effectively. This, in turn, can reduce the need for retroactive changes, saving both time and resources.

Hyper-Personalized Learning Paths

Data-driven student analysis, reinforced with predictive exploration of future learning requirements, can help educators develop unique learning paths that accommodate different learning styles, speeds, and preferences. Generative AI can divide learning modules into micro and nano-modules to create bite-sized learning available and enable content reusability. While educators can drive curriculum design, AI can assist by helping them link learning to emerging technologies, potential career pathways, and global challenges. Unique hints and suggestions for solving problems and real-time feedback instill ownership and confidence among learners, ensuring progress. This facilitates satisfying learning experiences and boosts learner engagement.

Future-Proof Education

AI systems facilitate automated updates for regulatory or compliance changes, while ML-powered analytics help educators identify trends and patterns in the evolving learning practices. Such insights can also support education publishers and edtech providers in staying relevant in a rapidly changing landscape. Leveraging XR (AR/VR/ER) technologies can become instrumental in providing immersive learning experiences to students via both traditional and borderless classrooms.

Assessment Design

With diverse evaluation formats, including dynamic and adaptive assessments, multimedia-based questions and video/audio-recorded responses, AI is helping transform student assessments. AIEd can enable more precise, effective, and efficient evaluations that support learning rather than merely evaluate knowledge retention.

Further, automated evaluations eliminate human bias and foster objectivity in scoring. Immediate feedback and reinforcement with micro-modules and individualized assessments can promote timely introspection and growth. This can be instrumental in democratizing learning into a learner-driven paradigm.

AI-Human Collaboration

The US Bureau of Labor Statistics’ Employment Projections Program projects that the demand for instructional coordinators will grow by 7% between 2021 and 2031. During the same timeframe, AI will evolve manifold. While multimedia-rich approaches can make the learning experience engaging and realistic, GAI can be instrumental in creating such learning materials, saving time and effort for education publishers and educators.

Source: Artificial Intelligence and the Future of Teaching and Learning; Office of Education Technology; US Department of Education; May 2023

Given how quickly generative AI is proliferating, AI-literacy among educators needs to snowball to catch up with technology use. All stakeholders in the education sector need to understand why and how AI tools can be leveraged for accelerated and targeted content development and delivery. The use of AI in education content development presents diverse channels of friction-free communication among participants to offer the most impactful learning experiences. Analytics can further support policymakers in making strategic decisions, aligned with evolving education needs, keeping accessibility and individual learner needs at the fore.

Advances in technology have powered K-12 and higher education with much more flexible learning and assessment options, driving greater accessibility and inclusivity, and enhancing learning outcomes. The higher education segment has seen the highest adoption rate for digital technologies, with online platforms replacing physical campuses in many instances. Adopting the latest technology tools lowers the cost of accessing education, and drives engagement and collaboration, facilitates personalization of learning and support, and the opportunity to apply knowledge to real-life settings. In fact, technology tools free up time for both educators and students, which can then be used for adding value to learning experiences. This article takes a deep dive into how digital assessment tools are empowering educators to enhance learning.

Disrupting Assessments via Innovation

Technology-enhanced learning offers diverse means to transform assessments. Gamification According to the OECD, game-based assessments empower teachers to assess higher-order, emotional, and behavioral skills, difficult to evaluate with traditional techniques. Gamification fosters shared learning experiences through group activities and challenges to ensure socio-emotional learning. Research has proven that the adoption of gamification in learning and instruction stimulates “motivation, learner engagement and social influence.” Simulations Medicine is one segment where education is being facilitated via simulated assessments. Humanoid robots and virtual patients enable the assessment of medical decision-making by simulating patient interactions. Additionally, Virtual Reality (VR) and Extended Reality (ER) powered experiential learning helps assess proficiency in life-saving procedures without putting anyone at risk. Adaptive Testing / Adaptive Assessments AI-powered assessments improve DEI in education. Content and learner insights guide teachers to rethink content, pedagogy, and assessment models to improve the learning experience and knowledge assimilation for all kinds of learners. AI-enabled adaptive assessments can be used for testing proficiency, achievement, and for diagnostics. Responsive Role-Play Based Assessments Interactive learning assessment can shape how students assimilate learning. In language education, Generative AI can be instrumental in boosting the understanding of cultural nuances, contextual meaning, and real-life language usage. Role-play-based assessments help simulating real-life situations. They use branching dialog-like algorithms, just like game menus, to allow students’ responses to determine the direction of the interaction.

Benefits of Innovative Assessment Techniques

Leveraging AI has been a game-changer in assessment practices in multiple ways. Analytics-Driven Education Planning and Design Now that AI has penetrated all phases of learning delivery, with innovations in formative and summative assessment techniques, analytics help broken down learning at the granular level to assess learning gaps and discover the underlying causes of such gaps, giving an opportunity to improve individual learning progress. Educator Autonomy Digital technologies support educators in exercising greater autonomy in designing learning environments by leveraging more granular and individualized forms of analytics. Personalized Assessment, Feedback, and Remediation Personalization is revolutionizing assessments to not only facilitate accelerated evaluation but also targeted improvements at the student, content, and pedagogical levels. Bias Elimination Automated assessments minimize biases in evaluation, creating a more equitable learning environment. Immediate, constructive feedback, solely based on learner performance, fosters a growth mindset among educators and students.

Addressing the Challenges of Online Assessments

There are both qualitative and quantitative challenges in using digital tools for assessments. Proctored Assessments Designating a proctor every time a remote learner decides to attempt an assessment is not feasible in the self-driven learning model. Therefore, web-cam-based software and assessment screen-locking mechanisms for the duration of the test must be embedded in the assessment module. Quality of Assessment Validity, reliability, and clarity of an assessment are essential to effectively accomplish the goals of learning transformation powered by modern technologies. These goals can be verified via a combination of AI-powered techniques and educators to ensure that assessments align with evaluating recall, understand, application, analysis, evaluation, and creation, in sync with the learning goals determined for the learner and the lesson.

The Power of Adaptive Assessments

Various research findings across undertaken across various countries report proven outcomes through the power of adaptive and formative assessments. Not only the developed economies, but every country is keen to promote outcome-driven education in their respective countries. For instance, a research in Saudi Arabia that found that immediate feedback led to better information retention and student motivation, especially when detailed explanations are provided for incorrect responses. A study by Ho Chi Minh City University of Technology, in Vietnam also proved that data mining of formative and summative assessments can detect learning topics with high discrepancy among teaching materials that can facilitate adaptive learning as well. Advances in technology, especially conversational AI, hold the promise of culturally responsive pedagogy, as well as the effective use of assessments to predict student performance and inform instruction. The goal is to improve learning outcomes, rather than merely evaluating learning progress. Digital assessment tools are game changers in assessment practices and the use of analytics to drive educational outcomes.

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AI-Human Collaboration: Extending the Frontiers of Education Content Development