Transform complex knowledge into well-structured explanatory texts, and develop students’ logical and analytical thinking.
This is an AI tool specialized in rewriting and assessment for explanatory texts. Unlike narrative storytelling, it focuses on explaining concepts, clarifying principles, and building logical structure. Based on students’ age, it rewrites complex source material into clear, well-organized texts, using analogies and real-life examples to support understanding. For students aged 11 and above, it can generate in-depth texts exceeding 2,000 words, paired with assessment questions aligned with the PIRLS framework—making it an ideal tool for developing skills in reading scientific, editorial, and academic texts.
Applicable Scenarios
- Creating materials for science reading or inquiry-based learning When introducing topics such as “how AI works” or “the causes of climate change,” teachers often find that encyclopedia entries are too difficult while children’s books are too simplistic. This tool rewrites complex knowledge into age-appropriate explanatory texts, making content both accessible and informative.
- Training long-form logical reading skills As entrance exams increasingly feature longer expository and non-linear texts, students often struggle to maintain focus and follow the logic. The 2,000-word texts generated by this tool help upper-grade students practice identifying key points, understanding structure, and sustaining attention across longer passages.
- Assessing students’ ability to integrate information The essence of expository reading lies in interpreting and integrating information. With the PIRLS-based question sets generated by this tool, teachers can accurately assess whether students truly understand causal relationships and structural organization, rather than simply skimming for answers.
User Guide
Step 1: Define the age group and input text Clearly specify the student’s age level and provide the source content or key concepts to be rewritten.
- Example input: “The target is seventh-grade students (13 years old). The original text is about ‘semiconductor manufacturing processes and Taiwan’s industry chain’… (paste text).”
Step 2: Receive a structured expository text The assistant will perform the rewrite:
- Structural optimization: It organizes the text using common expository structures such as definition, examples, comparison, and conclusion, ensuring clarity and coherence.
- Age-appropriate expansion: For students aged 11 and above, it expands simple concepts into a 2,000-word in-depth article, incorporating background knowledge and real-life examples.
Step 3: Use PIRLS-based assessment questions The text is followed by four multiple-choice questions corresponding to the PIRLS framework:
- Retrieving information: Identify explicitly stated facts or definitions
- Making inferences: Deduce causal relationships based on textual clues
- Interpreting and integrating: Summarize key ideas or synthesize information across sections
- Evaluating and critiquing: Assess the author’s approach or the credibility of information
Features
- Professional structure for expository writing The generated text maintains an objective and analytical tone rather than an emotional narrative style. It effectively uses analogies (e.g., comparing electric current to water flow) to explain abstract concepts, making it particularly suitable for science, social studies, and technology education.
- 2,000-word long-form content (for ages 11+) This is a rare feature. It expands short content into comprehensive long-form texts—not by adding filler, but by incorporating detailed explanations, historical context, and multi-perspective analysis. This is especially useful for training reading endurance and information processing skills in upper-grade students.
- Logical rigor in PIRLS-based assessment Questions are specifically designed to emphasize logical reasoning and the interpretation of structured information. This helps teachers evaluate whether students have developed scientific literacy and critical thinking skills.
