№ files_lp_4_process_2_62095
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Educational assessment guideline outlining requirements and evaluation criteria for a Level 1 digital technologies project in which students design, develop, test, and document a chatbot program using iterative programming processes.
Year: 2019
Subject Area: Digital Technologies & Hangarau Matihiko
Education Level: Level 1
Achievement Standards: 91883; 91884
Standard Titles: Develop a computer program; Use basic iterative processes to develop a digital outcome
Credits: 10
Resource Title: Chatbot Charlie
Resource Reference: Digital Technologies & Hangarau Matihiko 1.7B_1.8B Version 2
Publishing Authority: Ministry of Education
Country: New Zealand
Assessment Type: Internal assessment resource
Intended Users: Teachers/Kaiako and students/ākonga
Educational Context: School/kura digital technologies courses
Main Task: Development of a chatbot computer program using iterative processes
Assessment Focus: Program development, testing, debugging, documentation, and management of iterative development
Required Skills: Programming fundamentals including variables, input/output, control structures, lists or arrays, and functions
Evidence Requirements: Development log, tested program code, documentation with comments and variable names
Authenticity Requirement: Schools must modify context and manage authenticity of student work
Version: Version 2
Publication Date: March 2019
Implementation Period: Supporting internal assessment from 2018
Price: 8 / 10 USD
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UNESCO ROSA WhatsApp Chatbots: New Bot Development (Zambia) and AI Integration for existing chatbot (Zimbabwe). Terms of Reference
Year: 2025
Region / City: Zambia, Zimbabwe
Topic: Educational Technology, Chatbots, AI Integration
Document Type: Terms of Reference
Organization: UNESCO ROSA
Author: Not specified
Target Audience: Consultants, educational organizations, developers, technology companies
Effective Period: Not specified
Approval Date: 24-03-2025
Modification Date: Not specified
Domain-Specific Reduction of Language Model Databases: Overcoming Chatbot Implementation Obstacles
Year: 2019
Region / City: Los Angeles, California, USA
Topic: Artificial Intelligence, Natural Language Processing, Chatbots
Document Type: Research Paper
Institution: Institute for Creative Technologies, University of Southern California
Authors: Nicholas J. Kaimakis, Samuel Breck, Benjamin D. Nye, Dan M. Davis
Target Audience: Researchers and developers in AI and NLP, educational technology designers
Methodology: Domain-specific model reduction using word frequency and relevance
Application: MentorPal conversational agent, STEM education
Funding: Office of Naval Research
Technology Focus: Word2vec, language model optimization, offline and online chatbot capabilities
End-User Platform: Microsoft Surface tablets
Publication Date: 2019
Topics: 91883 91884 chatbot