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AI in the Classroom: Crafting Responsible Guidelines for Educators and Learners

The Thinking Stick

These guidelines ensure that the integration of AI into our curriculum enhances educational outcomes without compromising the principles of academic integrity. This support ensures that all students, regardless of their prior exposure to AI, can confidently use these tools in their academic work. These are the draft statements.

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Digital Learning Theories and Frameworks For Future Ready Classrooms

Teacher Reboot Camp

Digital Learning Theories and Frameworks. You can attend my online graduate course, Connected Educators: Harnessing the Power of Social Media , to experience networked learning and dive deep into some of the digital learning theories mentioned below: Connectivism by George Siemens and Stephen Downes.

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Digital Learning Theories and Frameworks to Elevate Instruction

Teacher Reboot Camp

According to McIsaac and Gunawardena (2001), we must consider the following four concepts essential to effective distance learning for our students, which are transactional distance, learner control, social context, and interaction. Digital Learning Theories and Frameworks. Online article retrieved from [link].

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Digital Learning Theories and Frameworks For Future Ready Classrooms

Teacher Reboot Camp

Digital Learning Theories and Frameworks. You can attend my online graduate course, Connected Educators: Harnessing the Power of Social Media , to experience networked learning and dive deep into some of the digital learning theories mentioned below: Connectivism by George Siemens and Stephen Downes.

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Michigan Virtual’s statewide workgroup releasing AI guidance for K-12 educators

eSchool News

Artificial intelligence is beginning to impact schools each day, often without clear guidelines or directions, and it’s critical that our educators are supported,” said Michigan Virtual Learning Research Institute Senior Director Ken Dirkin.

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Crafting ethical AI landscapes in K-12 education

eSchool News

As a digital learning team, we were assigned the responsibility of exploring the full spectrum of AI in education. Districts must develop guidelines that balance innovation with responsibility (Holter, Rummel & Skadsem, 2024). The Ethics of AI Ethics: An Evaluation of Guidelines. AI Ethics 2 , 431–440 (2022).

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Educator Micro-credentials Policy Map Provides an Update of State and District Use of Micro-credentials

Digital Promise

The unique and pressing needs of the ongoing global pandemic accelerated the adoption of education technology and innovations that could support urgent and evolving needs and provide on-demand and flexible learning. States without policies feature district implementation examples instead.

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