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NLP- and deep-learning-based educational chatbot for teaching Logo to secondary school learners

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The article presents an experimental educational chatbot built on recent Natural Language Processing and deep learning techniques, intended to instruct secondary school learners Logo, an educational programming language. It was "implemented and evaluated in Moroccan public schools" with support from teachers of the Regional Center for Education and Training Professions of Souss Massa. Its intended function is providing replies suited to each learner's specific needs within an e-learning setting.

Design Implications

Context

Requirements

  • Integration into an e-learning system so the chatbot can provide replies suited to each learner's specific needs

Constraints

  • Evaluated only with secondary school learners in Moroccan public schools learning Logo

Target Learners

  • secondary school learners

Learning Goals

  • learning the Logo educational programming language

Claims

Examples

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Key Sources

  • Ait Baha, T., El Hajji, M., Es-Saady, Y., & Fadili, H. (2024). The impact of educational chatbot on student learning experience. Education and Information Technologies. https://doi.org/10.1007/s10639-023-12166-w
Page metadata
Field Value
type design
id logo-educational-chatbot-element
title NLP- and deep-learning-based educational chatbot for teaching Logo to secondary school learners
description The article presents an experimental educational chatbot built on recent Natural Language Processing and deep learning techniques, intended to instruct secondary school learners Logo, an educational programming language.
status review
generated by process:settle-candidates on 2026-10-15
trust unverified — no one has confirmed this page's content
sources 1 — ait-baha-2024

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