What the AI inflection means for education
(549 words)
As AI refines the Internet, education can integrate curriculum and assessment with learning and computer sciences. The AI enhanced Internet can create a bottom-up and the top-down, new technology and design infrastructure to personalize learning. Global learning cultures can enrich local and local cultures can refine global.
Crowd sourced, continuously improving, integrated open-source curriculum and assessment resources can replace traditional ‘teach to the test’ products.
As local schools become curriculum design and assessment studios, (STEAM enterprises) resources and practices to meet diverse needs will evolve and assessment will become problem solving oriented and enriching.
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To initiate this, an education R&D enterprise needs to support curriculum curation through smart searches, bottom up authoring with continuous improvement, assessment, and HR matching.
We might focus on 4 tools:
• Curriculum Curation / Search
• Curriculum Design and Adaptation
• Assessment
• Local ⬄ Global Human Resource Learning Communities
Four Tools Described:
1) Curriculum Curation
An AI Education Search Engine will help educators curate developmentally sequenced curricula. It will suggest digital and non-digital local to global resources to enhance learning processes across and among disciplines. It will recommend learning support resources according to what is known about the learner and the local and global resources available to her. This technology will scaffold and integrate learning experiences and personalize it for students’ developmental needs and teachers’ teaching styles.
2) Curriculum design and adaptation
Combining the AI Education Search Engine with curriculum authoring tools will support developing crowd sourced, continuously improving curricula that is based on original content and adaptations to meet diverse learner and teacher needs. Supported by ePortfolio learner assessments, means curriculum design will be refined by feedback systems making design responsive to learner and facilitator needs.
3) Assessment
e-Portfolios will enable students to reflect on their engagement, successes, and challenges. This centers assessment on student agency (executive function) and provides personalized metrics.
Formative self-assessment improves learning while generating data to measure growth. Portfolio information includes goals/purposes, progress, frustrations, successes, questions, next steps, help needed and where to find help.
ePortfolio assessments will be shared in a personalized support network. People and AI will annotate reports and provide encouragement and feedback.
Always formative and summative, these assessments focus on learner insight, literacy, agency, initiative, and problem solving. These processes bring SEL, STEM, STEAM, and PBL (Project Based Learning) to life with actionable information to personalize the curriculum, learning processes, and social and learning interactions.
Portfolio assessment ends the need for expensive, judgmental, summative assessments that homogenize and narrow the curriculum into one size fits all siloed, sliced and diced activities, even as rhetoric and ideals call for integrated, personalized learning.
4) Local to global human resources communities
Everyone can be part of the Smart HR Pool and can play multiple roles in cross-ages, cross-capacities, cross-maturity, and interest groups.
Teachers and students can be matched for compatibility and the success of these matchings can be tracked in e-Portfolios.
Students are placed in fitting study, tutoring, club, and other groups to increase engagement, belonging, and success. These meetings can be recorded for quality and safety and analyzed by AI.
Students and groups can use e-Portfolios to provide real-time feedback to improve interactions and offer suggestions.
An Internet HR Directory of teachers, tutors, mentors, and facilitators will provide a local ⬄ global world-wide web of human and eventually AI learning facilitating bots.