Computer Aided Learning of Mathematics : Survey Results

In the paper we focus on the declarative and real level of ability of learning mathematics and solving mathematical problems with computers and Internet resources, among students of secondary schools in Poland. We prove that the declarations are different than facts. The results of an initiative survey are presented. Namely, we measure and describe current abilities of students (pre-test), and after one year of workshops for students and teachers, we will measure the change of their abilities (posttest). In the paper we present the results of the pre-test and limit our description to students aged 15 -19 (all kinds of secondary schools).

Authors

Institutions

Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/coginfocom63007.2024.10894713
Citations
2
Primary Topic
Intelligent Tutoring Systems and Adaptive Learning
Type
article
Field-Weighted Citation Impact
0.69
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Computer Aided Learning of Mathematics : Survey Results

Agnieszka Łukasiewicz, Katarzyna Chmielewska
2 citations
Intelligent Tutoring Systems and Adaptive Learning
0.69
article

Computer Aided Learning of Mathematics : Survey Results

Agnieszka Łukasiewicz, Katarzyna Chmielewska
article en
2 citations

Abstract

In the paper we focus on the declarative and real level of ability of learning mathematics and solving mathematical problems with computers and Internet resources, among students of secondary schools in Poland. We prove that the declarations are different than facts. The results of an initiative survey are presented. Namely, we measure and describe current abilities of students (pre-test), and after one year of workshops for students and teachers, we will measure the change of their abilities (posttest). In the paper we present the results of the pre-test and limit our description to students aged 15 -19 (all kinds of secondary schools).

Kazimierz Wielki University in Bydgoszcz (PL), Institute of Mathematics (PL)
Quality Education
Openalex Percentile: Top 22%
Intelligent Tutoring Systems and Adaptive Learning
0.69
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.