{"id":1147,"date":"2025-01-29T08:25:52","date_gmt":"2025-01-29T08:25:52","guid":{"rendered":"https:\/\/info.learnlab.net\/lt\/?page_id=1147"},"modified":"2025-01-29T13:35:37","modified_gmt":"2025-01-29T13:35:37","slug":"promptinsight","status":"publish","type":"page","link":"https:\/\/info.learnlab.net\/lt\/promptinsight\/","title":{"rendered":"Prompt Insight"},"content":{"rendered":"

How our prompts work in Mylab<\/h2>\n

Prompt for Feedback Drafts in Assignments and Periods<\/h3>\n

In Mylab, teachers can ask Learny to create a draft for feedback to students on their work in an assignment or period.<\/p>\n

The predefined prompt instructs Learny to take on the role of an expert learning assistant tasked with helping educators provide feedback to learners. Learny is also instructed to consider the following factors when formulating the feedback:
\n– Grade level of the student.
\n– Learning goals \/ curriculum goals defined by the teacher.
\n– Important themes and concepts defined by the teacher in relation to the assignment or period.
\n– Notes from the teacher. Example: “The student displayed great reflections. Many spelling mistakes. Strong introduction. The student should have included more about…”
\n– Title and description of the assignment or period.
\n– If the teacher has activated the six point scale for the student, the AI will take this into account.*<\/p>\n

Finally, Learny is instructed to structure the draft to first highlight the learner’s strength, then offer advice, and end by promoting reflection.<\/p>\n\"\"\n

 <\/p>\n

*The six point scale is a tool for differentiated learning that teachers can choose to activate for each student. Once activated the teacher can adjust the level of language complexity that the AI model should use when formulating feedback or feedback drafts to students. Ensuring that everyone can benefit from Learny’s insights.<\/p>\n

 <\/p>\n

Prompt for Learning Plan<\/h3>\n

In Mylab, teachers can ask Learny to create a draft for a learning plan.<\/p>\n

The predefined prompt instructs Learny to plan a lesson based on the following factors:
\n– The title of the period. This will be the main topic of the lesson.
\n– The grade level of the students in the period.
\n– The duration as defined by the teacher.
\n– The learning goals \/ curriculum goals defined by the teacher.<\/p>\n

Learny is also instructed to create a lesson that will make the students reflect on their own learning and collaborate with each other.<\/p>\n

\"\"<\/h3>\n

<\/h3>\n

<\/h3>\n

 <\/p>\n

Prompt for Questions to Students<\/h3>\n

In Mylab, teachers can ask Learny to create reflective questions for the students.<\/p>\n

The predefined prompt instructs Learny to consider the following when generating the questions:
\n– The subjects defined by the teacher.
\n– The grade level of the students.
\n– The title of the period.
\n– The learning goals \/ curriculum goals as defined by the teacher.<\/p>\n

Learny is also instructed to ensure that the questions promote critical thinking, reflection, and exploration, while stimulating curiosity.<\/p>\n\"\"\n

 <\/p>\n

<\/h2>\n

<\/h2>\n

How our prompts work in Colab<\/h2>\n

Prompts in Second Screen and Analysis Step<\/h3>\n

When holding a presentation in Colab, users can open a second screen to access AI functionality to quickly process and synthesize input from participants.<\/p>\n

Summary<\/strong>
\nThe prompt instructs learny to take on the role of a learning assistant and summarize user inputs based on the topic, learning goals, and important concepts. Learny adjusts the output complexity according to the grade level, if applicable.
\n\"\"<\/p>\n

Highlights<\/strong>
\nThe prompt instructs Learny to compare different ways individuals in the presentation think. Learny selects up to three relevant quotes, cleans up any spelling mistakes, and describes why these quotes were chosen in relation to the learning goals and important concepts.
\n\"\"<\/p>\n

Reflective questions<\/strong>
\nThe prompt instructs Learny to help participants think deeper about the topic by generating five open questions that encourage curiosity, reflection, and critical thinking.
\n\"\"<\/p>\n

Action points<\/strong>
\nThe prompt instructs Learny to take on the role of an expert in strategy and help users put ideas into action. Learny generates up to three action points that foster holistic learning in relation to the learning goals and important concepts, adjusting the output to the student’s grade level if applicable.
\n\"\"<\/p>\n

Summary of Recording<\/strong>
\nThe prompt instructs Learny to summarize a discussion from a group of people based on their participation in an interactive presentation. Learny analyzes the transcription in relation to the title, learning goals, and important concepts, and consolidates these into themes and concepts in the summary.<\/p>\n

<\/figure>\n
<\/figure>\n

Prompts in Reports<\/h3>\n

After giving a Colab presentation, users can generate reports of participants’ contributions.<\/p>\n

Individual Report
\n<\/strong>The prompt instructs Learny to take on the role of an educational expert and assess an individual’s understanding of the topic of the Colab. Learny analyzes all qualitative steps and provides a summary of the individual’s contribution to the group at each step. Additionally, Learny provides a summary of the individual’s overall contribution and understanding based on all user inputs, considering the title, learning goals, grade level (if relevant), and important concepts.
\n\"\"<\/p>\n

Group Report Survey Summary
\n<\/strong>The prompt instructs Learny to to take on the role of an educational expert and assess a group’s understanding of the topic of the Colab. Learny analyzes both qualitative and quantitative data and provides a report on this. Learny considers the title, learning goals, and important concepts, and if relevant, the grade level, organization name, and filters.
\n\"\"<\/p>\n

Note:\u00a0<\/strong>If Learnlab is a data processor for your organization you can contact us<\/a> and request to recieve complete information about our prompts.<\/p>\n","protected":false},"excerpt":{"rendered":"

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