10-Rep Learning ~ Teague's Tech Treks

Learning Technology & Tech Observations by Dr. Helen Teague

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Weekend Ed. Quote ~ June 13, 2025

“Global virtual learning communities create intercultural learning experiences while eliminating challenges related to international travel. Experiential learning, in this case, is also interactional, framing an understanding of how U.S. children benefited from their African counterparts through virtual cross-cultural collaborations.” ~ Akumu, et al., 2015.

Image rendered by Deepai.org

 

 

                                                                 References

Akumbu, R. V., Kim, E., Lux, K., Espino, D., & Hamilton, E. (2025). Intercultural capacity building in virtual STEM communities. Journal of Intercultural Communication Research, 54(3), 101–122. https://doi.org/10.1080/17475759.2025.2492758

 

 

 

 


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How to Stop Receiving AI Summaries in Search Results

How to Stop Receiving AI Summaries in Your Searches 

When you do a Google search it will automatically add the AI response at the top. This can feel quite annoying and AI can often makes mistakes, so you should know how to remove that. You can add “-ai” after a Google search to stop it from displaying the AI-search response.  ~ TCEA Blog

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Weekend Ed. Quote ~ May 30, 2025

Let the questions be the curriculum. ~Socrates

Let the Questions Be the Curriculum Socrates

Image generated by DeepAI

 

 

 


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AI Tools for Curriculum Specialists

Data Analysis and Pattern Recognition

Detailed Applications

  • Content Gap Analysis: AI can systematically analyze curriculum materials to identify concepts that are missing or under-represented, ensuring comprehensive subject coverage.
  • Vertical Alignment Verification: Ensure concepts build appropriately from grade to grade with proper scaffolding and progressive complexity.
  • Horizontal Alignment Analysis: Detect opportunities for cross-curricular connections between subject areas.
  • Redundancy Identification: Flag unnecessary repetition across grade levels or subject areas to optimize instructional time.
  • Vocabulary and readability analysis: Evaluate the linguistic complexity of materials to ensure age-appropriateness and accessibility.

Specific Tools ~ 

  • IBM Watson Knowledge Catalog: Organizes and analyzes curriculum content repositories with AI-powered metadata generation.
  • TextRazor: Offers semantic analysis capabilities to extract topics, concepts, and relationships from curriculum documents.
  • Lexile Analyzer: Uses AI to determine text complexity and readability levels of curriculum materials.
  • ContentQuo: Specializes in comparative content analysis across multiple documents, useful for standards alignment.
  • GPT-4 with custom prompting: Can be used to analyze curriculum documents for alignment with specific frameworks or standards.

Assessment Support

Detailed Applications

  • Item Quality Evaluation: Analyze assessment items for clarity, avoidance of common item-writing flaws, and alignment with cognitive complexity targets.
  • Bias Detection: Identify potentially biased language or cultural assumptions in assessment materials.
  • Bloom’s Taxonomy Mapping: Categorize questions according to cognitive demand levels and ensure appropriate distribution.
  • Distractor Analysis: Evaluate the quality of multiple-choice options for their plausibility and diagnostic value.
  • Assessment Blueprint Creation: Generate balanced assessment plans based on learning objectives and their relative importance.

Specific Tools

  • Learnosity: Offers AI-powered assessment item creation and analysis.
  • TAO Testing: Provides automated item analysis and performance prediction.
  • Intellimetric: Uses AI to evaluate constructed response items against rubrics.
  • Certica Solutions: Specializes in alignment of assessment items to standards.
  • PredictionIO: Open-source machine learning tool that can be customized for educational assessment analysis.

Efficiency Improvements

Detailed Applications

  • Automated Curriculum Mapping: Generate visual representations of how curriculum elements connect across subjects and grade levels.
  • Resource Tagging and Organization: Automatically categorize materials by standards, topics, grade levels, and learning objectives.
  • Change iImpact Analysis: When curriculum standards change, AI can quickly identify which materials need updating.
  • Implementation Tracking: Monitor how curriculum changes perform in practice based on various data sources.
  • Template Generation: Create consistent curriculum documentation templates based on best practices.

Specific Tools

  • EdClerk: AI-powered curriculum management system with automated organization features.
  • Chalk.com: Provides curriculum mapping tools with AI-assisted standards alignment.
  • Eduplanet21: Offers curriculum management with integrated analytics.
  • LearnPlatform: Helps evaluate and manage digital curriculum resources.
  • Atlas Curriculum Management: Uses AI to assist with curriculum mapping and resource alignment.

Personalization Insights

Detailed Applications

  • Learner persona development: Identify patterns in curriculum engagement to develop targeted approaches for different learner types.
  • Accessibility analysis: Evaluate materials for support of diverse learning needs (visual, auditory, kinesthetic, etc.).
  • Cultural relevance assessment: Analyze curriculum for inclusivity and cultural responsiveness.
  • Learning pathway optimization: Design multiple routes through curriculum content based on different entry points and learning profiles.
  • Enrichment opportunity identification: Highlight areas where advanced learners can go deeper into concepts.

Specific Tools

  • Knewton Alta: Provides adaptive learning insights that can inform curriculum personalization.
  • Smart Sparrow: Offers analytics on learner engagement with curriculum materials.
  • Realizeit: Generates personalized learning pathways that curriculum specialists can incorporate.
  • DreamBox: Provides data on how different learners engage with mathematical concepts.
  • Cognii: Uses AI for personalized assessment and feedback that can inform curriculum design.

Stakeholder Engagement

Detailed Applications

  • Feedback pattern recognition: Identify trends across teacher, student, and parent feedback about curriculum effectiveness.
  • Stakeholder sentiment analysis: Gauge emotional responses to curriculum changes or implementations.
  • Implementation fidelity assessment: Compare intended curriculum design with actual classroom implementation.
  • visualization for different audiences: Create targeted data presentations for administrators, teachers, and community members.
  • Narrative generation: Convert complex curriculum evaluation data into accessible narratives for different stakeholders.

Specific Tools

  • Qualtrics XM: Uses AI to analyze survey data and stakeholder feedback.
  • MonkeyLearn: Provides text analysis tools for processing open-ended curriculum feedback.
  • Tableau with AI capabilities: Creates interactive visualizations of curriculum evaluation data.
  • ThoughtSpot: Offers natural language processing to query complex curriculum data sets.
  • PowerBI with AI Insights: Generates automated insights from curriculum implementation data.

Advanced AI Applications in Curriculum Evaluation

Predictive Analytics

  • Student success forecasting: Predict how curriculum changes might impact student outcomes.
  • Implementation challenge prediction: Identify potential obstacles in curriculum rollout before they occur.
  • Resource utilization optimization: Predict which curriculum resources will be most effective for specific contexts.

Specialized Tools

  • BrightBytes: Offers predictive analytics specifically designed for educational contexts.
  • Othot: Provides AI-powered predictive analytics to forecast student success.
  • Sefaria: For religious or cultural curriculum, offers AI-assisted connections to source texts.

Recommendation Systems

  • Professional development alignment: Suggest teacher training needs based on curriculum evaluation findings.
  • Resource recommendation: Identify supplementary materials to address curriculum gaps.
  • Intervention strategies: Suggest targeted approaches based on curriculum evaluation patterns.

Specialized Tools

  • EdSurge Concierge: Recommends educational resources based on specific curriculum needs.
  • LearnZillion: Provides smart recommendations for curriculum resources aligned to standards.
  • TeachFX: Uses AI to analyze classroom dialogue and recommend curriculum adjustments.

Implementation Considerations

Ethical Considerations

  • Algorithmic bias awareness: Ensure AI tools don’t perpetuate biases in curriculum evaluation.
  • Data privacy: Maintain appropriate protections for student and teacher data.
  • Human oversight: Keep curriculum specialists in control of final decisions, using AI as a tool rather than decision-maker.

Integration Strategy

  • Start with narrow applications: Begin with focused use cases like standards alignment before expanding to more complex analyses.
  • Build data infrastructure: Ensure curriculum documents are digitized and structured appropriately for AI analysis.
  • Professional development: Train curriculum specialists on effective use of AI tools and interpretation of their outputs.
  • Collaborative implementation: Partner with IT, data specialists, and curriculum teams for effective integration.

Measuring Impact

  • Track time savings: Measure efficiency gains from automated curriculum evaluation tasks.
  • Monitor recommendation quality: Assess the relevance and usefulness of AI-generated insights.
  • Evaluate for bias: Regularly check AI outputs for potential biases in curriculum evaluation.
  • Measure outcome improvements: Track whether AI-assisted curriculum evaluation leads to improved learning outcomes.

 

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Curriculum Insights from the AIRS Report

The AIRS 2024 report supported by the Rand Corporation highlighted curriculum trends in ELA, math, and science, emphasizing educator needs and professional development. Generated content and infographic design edited by Dr. Helen Teague from MSCopilot partial summary and Infogram, web-based data visualization and infographics platform.

References to the Rand Report:

Doan, S., Eagan, J., Grant, D., & Kaufman, J. H. (2024). American Instructional Resources Surveys: 2024 Technical Documentation and Survey Results. American Educator Panels. Research Report. RR-A134-24. RAND Corporation. https://doi.org/10.7249/RRA134-24

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Weekend Ed. Quote ~ May 23

“Learners can deepen their understanding of the evaluation criteria and improve their critical thinking and evaluation skills by analysing and evaluating their peers’ work. As the evaluated, learners can identify shortcomings through the feedback provided by their peers and adjust their learning strategies, thus developing their metacognitive skills” (Li & Wang, 2025; Tan and Chen, 2022)

Feedback Literacy Cycle

Image by Cameron Conaway, 2023. https://cameronconaway.com/feedback-literacy-learning-culture/

 

                                                                                          References

Conaway, C. (2023). To Improve Your Learning Culture, Promote Employee Feedback Literacy.  https://cameronconaway.com/feedback-literacy-learning-culture/

Li, L., & Wang, C. (2025). A dual-cycle peer evaluation model to enhance student feedback literacy: a three-round empirical educational study. Assessment & Evaluation in Higher Education, 1–22. https://doi.org/10.1080/02602938.2025.2487488

Tan, J. S. H., and W. Chen. 2022. “Peer Feedback to Support Collaborative Knowledge Improvement: What Kind of Feedback Feed-Forward?” Computers & Education 187: 104467. doi:10.1016/j.compedu.2022.104467.

 

 

 


More Weekend Ed. Quotes

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#CUNE604, #CUNE605

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The Will – a Peer Review Strategy for Virtual Gallery Walks

The “Will” Peer Review Strategy for Virtual Gallery Walks and other Online Peer Review

A Gallery Walk is a small group to whole group culminating activity in which student work is displayed. In traditional gallery walks, participants view each other’s work and comment with extemporaneous comments or a critical thinking schema (Jonson, 2005; Delgado, 2006; Frank & Krueger, 2025; Omiles & Ramirez, 2025).

In a digital update, a virtual gallery walk is an interactive learning experience with three steps.

Step 1 – Student designers create a digital artifact such as video, audio performance, original art work, slide deck, Google Slides presentations, Infographics, or Concept maps.

Step 2 – Students display their digital artifact, usually through posting in a threaded discussion forum or displayed in a virtual gallery format, similar to a physical art gallery walk. 

Step 3 – All students in a group or class click-walk through the uploaded digital learning artifacts in preparation for Step 4.

Step 4 Rationale – In order to provide deeper meaning and reinforce collaborative, socio-cultural learning, a review strategy is utilized. Previous posts in the 10-Rep Learning blog have featured the P*N*I Peer Review Strategy in Digital and Face-to-Face Gallery Walks. Teague’s 10-Rep Learning P*N*I strategy is an adaptation of Edward de Bono’s PMI Lateral Thinking strategy.
Another strategy to try is the “Will” Peer Review Strategy. The “Will” acronym stands for “What I Learned + Liked.” Students from grades 5 through 12 view the digitally uploaded artifacts (or links to the artifacts) and provide a reply post or digital caption following the letters in the word “Will” “What I Learned + Liked” or “What I Liked + Learned.”

     The “Will” Peer Review Strategy also is engaging for Adult Learners. Teachers and Instructors can vary the complexity of the “Will” statement with additional criteria. For teacher candidates in undergraduate or graduate online courses, the second sentence about what learning occurred may include what the viewer learned that would be effective for classroom use. For Adult Learners, responses reflect in-text and ending citations from the required studies and/or their own research. 

Step 4 Task Instructions: Please view your peers projects [i.e learning artifacts]. Next, post a 2-sentence Reply post summarizing your positive impression of the project [i.e. Learning artifact]. Compose a second sentence that describes what you learned. Begin your sentence with the name of the video creator. Optional: Conclude your WILL response with a question for the video creator to consider in reply to you.

Format example: Student “Will Reply”: What I Liked and Learned about Javier’s Concept Map on Cybersecurity: I Liked that Javier use two languages in the thought bubbles. What I Learned was that passwords need to be changed every 90 days.
Undergraduate/Graduate Student “Will” Reply: Javier, What I Learned from your Concept Map on Cybersecurity is that it will be effective on my classroom routines to prompt student’s to change their passwords every 90 days (Santana, 2025) and I will add this activity to my Google Calendar. What I liked about your Concept Map on Cybersecurity was its uncluttered design and text-to-background contrast that made it easier for me to read.
References
Santana, M. D. (2025). Eliminating the security weakness of Linux and UNIX Operating Systems. In Computer and information security handbook(p. 217-233). Morgan Kaufmann.


Core Message: Online and Digital Gallery Walk collaborative reflection strategies can increase collaborative support and dialogue through the “Will” reply strategy.

                                                               References

Delgado, R. A. (2006). Gallery Walk activity protocol. Education Consortium, LLC. https://campussuite-storage.s3.amazonaws.com/prod/1559107/a32ad7b8-90dc-11ec-98ec-0ad3f63f6779/2448636/b1651e1e-09b4-11ed-b18c-02679c9b5d8d/file/Gallery%20Walk%20Activity.pdf

Frank, R., & Krueger, S. (2025). Gallery walk as research method in information science. Information Research an international electronic journal30(iConf), 171-179. https://doi.org/10.47989/ir30iConf47554

Jonson, K. F. (2005). 60 Strategies for improving reading comprehension in Grades K-8. Corwin Press. Google Books Link.

Omiles, M. E., & Ramirez, E. J. D. (2025). Peer Learning Framework in The New Normal. Journal of Practical Studies in Education, 6(1), 14-25.
Teague, H (        The PNI

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STEAM meets Literacy through Novel Connections

A traditional written summary benefits from recasting with an objective, adaptive literary analysis.
The following re-focused, written outline reflects STEAM components.


“The Little Prince” reflects STEAM learning through the following connections:
Science: “The Little Prince” includes a planet-hopping journey, which can be used to introduce concepts like planetary orbits, different climates, and the unique characteristics of various planets. Students can research different planets and their characteristics, creating models or presentations about them. The little prince’s asteroid (B-612) can be explored as a learning opportunity for understanding the solar system and the classification of celestial bodies. 

Technology:
The lamplighter’s lamp, which is essential for the planet, can be explored as an example of a technological invention that provides light and keeps the planet running. 

The fox’s communication with the little prince can be analyzed as a form of early technology, or a concept of telecommunication that was used before modern forms of technology. 

Engineering: The little prince’s asteroid can be used as a case study of sustainable engineering. Students can research different methods of resource management and how they can be applied to his small planet. The lamplighter’s lamp can be explored as a simple engineering design, and students can create their own models or designs of the lamp. 

Mathematics: The Little Prince mentions the little prince’s planet B-612, which can be used as a starting point for mathematical exploration. Students can create diagrams or models of the planet and its layout, or use it as an example for understanding spatial reasoning. The Little Prince can be used to introduce mathematical concepts like fractions or ratios, especially when discussing the different types of baobab trees and their impact on the planet. 

Art: The illustrations in the The Little Prince can be used as a starting point for artistic exploration. Students can recreate the illustrations or create their own interpretations of the story’s characters and settings. The story of The Little Prince can be used as a source of inspiration for creating different art forms, such as paintings, sculptures, or digital art. 

Language Arts: The plot of The Little Prince can be used to explore themes of friendship, responsibility, and the importance of seeing beyond surface appearances. Students can engage in creative writing activities inspired by the story, such as writing their own poems, stories, or plays. The book’s language and imagery can be explored as a source of inspiration for creative writing.

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Excited to be part of the Compassionate Action Conference May 14 and 15

Excited to be part of the Compassionate Action Conference on May 14 & 15! Join me for the session titled “Calibrating a Compass of Compassion in Online Spaces.” In the digital realm, we often encounter messages that trigger a negative internal and external dialogue. This brief session aims to explore ways to foster compassion and harmonious online interactions.
Special thanks to Lucy Gray. hashtagCAC2025

CAC Presenters Graphic

GoalsAndObjectives

  1. Catalyze Bridging Strategies situated within unique online learning environments.
  2. Reinforce compassionate online listening practices
  3. Review Practical familiar diffusion strategies, refine with a twist for online spaces.

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AI Generated Art Gallery

 

Created with AI-generated art and the ClassTools Gallery app.

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