SmileyDiscovery

Product or Programme · All products and programmes
Evidence · 3 claims (2 for, 1 mixed) · 2 studies (1 review, 1 design), q2 · 0 of 2 report an effect size · 3 claims rest on one study

Description

SmileyDiscovery is an ML-empowered scientific discovery learning tool developed by Jingwan Tang and colleagues that supports accessible multidimensional data exploration and k-means clustering for K–12 learners and teachers.

Components

Claims

• The number of constraints teachers raise about the ML tool differs significantly by teaching grade level, while reported strengths do not. [~W]
• Short-duration TPACK-based professional development improved teachers' ML knowledge and interest (ML4STEM) [+W]
• Most participating teachers produce ML-empowered scientific discovery teaching ideas of excellent, good, or fair quality after the TaL session. [+W]

Related Products and Programmes

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Key Sources

• Jingwan Tang, Xiaofei Zhou, Xiaoyu Wan, Michael Daley, Zhen Bai. (2023). ML4STEM Professional Development Program: Enriching K-12 STEM Teaching with Machine Learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00292-4

Page metadata

Field	Value
type	product
id	smileydiscovery
title	SmileyDiscovery
description	SmileyDiscovery is an ML-empowered scientific discovery learning tool developed by Jingwan Tang and colleagues that supports accessible multidimensional data exploration and k-means clustering for K–12 learners and teachers.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-27
trust	unverified — no one has confirmed this page's content

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