AI Tools for EC Basic
This week — 9–15 Mar 2026 · Last updated: 9 Mar 2026
• 9 Mar — Updated: page content refreshed.
This week — 9–15 Mar 2026 · Last updated: 9 Mar 2026
• 9 Mar — Updated: page content refreshed.
Overview
The AI Tools for EC Basic initiative is a collaboration between Digital Operations and EnglishConnect (EC) to explore how artificial intelligence can support students enrolled in the EC Basic program. As part of this initiative, the Digital Operations team is developing AI prototypes designed to support learning experiences within a potential EC Basic application or feature. The purpose of these prototypes is to evaluate whether AI can effectively support the types of learning experiences envisioned for this feature. Currently, the DO team is testing whether AI can generate appropriate practice activities and assessment questions that could help guide students through their learning journey.
AI Tools Being Prototyped
Digital Operations is currently designing the AI architecture for six potential tools to support the EC Basic learning experience.
1.-Practice Tool
The Practice Tool prototype explores how AI could generate simple activities to help students practice basic English skills. The goal of this tool is to provide students with additional opportunities to reinforce what they are learning through interactive exercises generated by AI.
The AI would generate practice materials such as:
Vocabulary flashcards
Short comprehension questions
Listening and repeating exercises
Basic practice activities designed for beginner-level English learners
These activities are intended to help students review and strengthen foundational English concepts while practicing independently.
AI Practice Tool – Feedback-Driven Enhancements
You’ll see the latest enhancements and modifications made to the AI Practice Tool based on EC team feedback and internal review.
2.-Assessment Tool
The Assessment Tool focuses on evaluating a student's English level before beginning the course. The current design explores a two-step assessment process supported by AI-generated questions.
For both tests, the AI would generate the assessment questions, while student responses would be evaluated based on predefined criteria used to guide placement decisions.
Placement Test
The first assessment would determine whether the student should enroll in EC Basic or EC 3, based on their demonstrated level of English proficiency.
This placement test is designed to be brief, with an estimated duration of approximately 5 to 10 minutes.
The AI would generate questions with progressively increasing levels of difficulty, using the learning expectations defined for each EC level as guidance.
These expectations include the following general criteria:
Beginner Level (EC1)
Students at this level should be able to:
Read and write in their native language
Read the English alphabet
Understand a few basic English words or phrases
Mid-Beginner Level (EC2)
Students at this level should be able to:
Form basic sentences in English
Ask basic questions and give basic answers
Intermediate Level (EC3)
Students at this level should be able to:
Read and write basic sentences in English
Hold a basic conversation in English about common daily topics
Finally, based on the student’s responses, the AI would evaluate the results according to predefined criteria in order to determine whether the student should enroll in ECBasic or EC3.
Starting Point Test (optional)
If the student is placed in EC Basic, a second assessment may be offered to determine whether the student should begin the course from the first unit or start at a later point. This test would allow students who already understand certain concepts to skip previously mastered content and begin the course at the most appropriate point.
The Starting Point Test would be optional and is expected to take approximately 15 to 20 minutes to complete.
Disclaimers
3.- Tutor/Coach Tool
4.- Instruction Tool
5.- Community Tool
6.- Co-Create Deliverables
Current Status
The Practice Tool prototype architecture has already been developed and is currently in the testing phase.
Work on the Assessment Tool prototype is also underway and is currently in its final development stage.
The goal is to have all AI prototypes developed and tested by May 15, 2026.