Designing Hypothetical Learning Trajectory of Descriptive Statistics Through Ethnomathematics Problem Assisted TinkerPlots

DOI

10.2991/978-94-6463-338-2_3How to use a DOI?

Keywords

Design Research; Ethnomathematics; Hypothetical Learning Trajectory; Statistical Descriptive; TinkerPlots

Abstract

Integration of Technology, Information, and Communication (ICT) in learning mathematics are one of the focuses developed in implementing “Kurikulum Merdeka.“ One of the ICT integrations is TinkerPlots. TinkerPlots is ICT-based mathematics learning media that allows students to explore learning flexibly and according to student needs. TinkerPlots can assist teachers in implementing mathematics learning that focuses on the discovery process through ethnomathematics-based informal problems. The discovery process made by students through TinkerPlots then bridges students to understand formulas in formal mathematics. The purpose of this study is to create a Hypothetical Learning Trajectory (HLT), specifically for descriptive statistics learning, using TinkerPlots. This HLT will then be tested on students in additional research to see whether it should be classified as Local Instructional Theory (LIT) in descriptive statistics. Students can learn descriptive statistical material based on ethnomathematics problems through the help of TinkerPlots. This research employs the preliminary research stage of the design research process. The participants in the study were 15 students in one of the senior high schools in Nias Island, North Sumatera. Videos were used to observe the learning process and how students worked on the supplied question. The study results were descriptive statistical HLT, which contained learning objectives, learning activities, and the assumptions of each activity. This HLT may be a potential option for overcoming students’ issues with descriptive statistical ideas by using TinkerPlots media to solve ethnomathematics-based informal problems.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Rahmi Ramadhani
AU  - Sahat Saragih
AU  - Suci Dahlya Narpila
AU  - Doni Irawan Saragih
AU  - Dwi Novita Sari
AU  - Nuraini Nuraini
PY  - 2023
DA  - 2023/12/23
TI  - Designing Hypothetical Learning Trajectory of Descriptive Statistics Through Ethnomathematics Problem Assisted TinkerPlots
BT  - Proceedings of the 2023 International Conference on Information Technology and Engineering (ICITE 2023)
PB  - Atlantis Press
SP  - 19
EP  - 26
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-338-2_3
DO  - 10.2991/978-94-6463-338-2_3
ID  - Ramadhani2023
ER  -