Inspiring Students' Interest in Math through ODE Simulation: a Self-Paced, AI-Assisted Approach

Evaluations of students' modeling and programming skill by multiple-choice quiz designed by the instructor:All high-school students were able to develop the ODE model in Python by themselves.All students finished the project within one month, with 4.8 1.8 hours totally.

Authors

Institutions

Publication Details

Published
2024-12-04
DOI
https://doi.org/10.18260/1-2--49465
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inspiring Students' Interest in Math through ODE Simulation: a Self-Paced, AI-Assisted Approach

Brianna Fan, Henry Pei, Chloe Chan, David Shen et al.
Online Learning and Analytics
article

Inspiring Students' Interest in Math through ODE Simulation: a Self-Paced, AI-Assisted Approach

Brianna Fan, Henry Pei, Chloe Chan, David Shen, Christopher Song, Chenhao Zhao
article en

Abstract

Evaluations of students' modeling and programming skill by multiple-choice quiz designed by the instructor:All high-school students were able to develop the ODE model in Python by themselves.All students finished the project within one month, with 4.8 1.8 hours totally.

Villanova University (US)
Quality Education
Openalex Percentile: Top 76%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Inspiring Students' Interest in Math through ODE Simulation: a Self-Paced, AI-Assisted Approach — Brianna Fan, Henry Pei, et al. · (2024) | TGRS Research Map | TGRS