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Utilising computer simulations to teach derivatives with p5.js and Google Colaboratory : A comparative study ; Användande av datorsimuleringar för utlärande av derivator med p5.js och Google Colab : En jämförande studie

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Název: Utilising computer simulations to teach derivatives with p5.js and Google Colaboratory : A comparative study ; Användande av datorsimuleringar för utlärande av derivator med p5.js och Google Colab : En jämförande studie
Autoři: Johansson, Patrik, Kokhaei Pak, Amin
Informace o vydavateli: KTH, Skolan för elektroteknik och datavetenskap (EECS)
Rok vydání: 2023
Sbírka: Royal Inst. of Technology, Stockholm (KTH): Publication Database DiVA
Témata: Computer and Information Sciences, Data- och informationsvetenskap
Popis: Education is considered as one of the most crucial services of society, yet in recent years there has been a decline in understanding of mathematics among pupils. Therefore, this thesis explores how Python and Javascript code written using the web-based simulation frameworks of Jupyter/Google Colab and p5.js could be used to improve teaching of mathematics focusing on the topic of derivatives. This study compared these tools with respect to effects on perceived learning, motivation, and interactivity. To do this, simulations explaining the concept of derivatives were created using both tools. After the creation of the simulations and a related questionnaire, they were sent to student channels and personal contacts. 15 answers were received about the participants' experience of the simulations but personal observations from the authors while watching some participants using the simulations were also included in the results. The results give a preliminary indication that there seems to be a slight preference for p5.js in all measured aspects mainly due to the setup of the tools and the instruction text to Google Colab being difficult to understand. What this indicates is that first, there is an interest in simulations and that simulations could be used as a helpful tool to increase motivation and improve learning of mathematics, and second, that interactivity of the simulation affects learning and motivation positively. ; Utbildning anses vara en av de viktigaste tjänsterna som samhället kan erbjuda, men de senaste åren har det skett en nedgång i förståelsen för matematik bland elever. Därför undersöker detta examensarbete hur Python- och Javascript-kod skriven med hjälp av de webbaserade simuleringsverktygen Jupyter/Google Colab och p5.js kan användas för att förbättra undervisningen i matematik med fokus på ämnet derivator. Denna studie jämförde dessa verktyg med avseende på effekter på upplevt lärande, motivation och interaktivitet. För att göra detta skapades simuleringar som förklarade begreppet derivata med ...
Druh dokumentu: bachelor thesis
Popis souboru: application/pdf
Jazyk: English
Relation: TRITA-EECS-EX; 2023:296
Dostupnost: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330844
Rights: info:eu-repo/semantics/openAccess
Přístupové číslo: edsbas.8D6BB7CC
Databáze: BASE
Popis
Abstrakt:Education is considered as one of the most crucial services of society, yet in recent years there has been a decline in understanding of mathematics among pupils. Therefore, this thesis explores how Python and Javascript code written using the web-based simulation frameworks of Jupyter/Google Colab and p5.js could be used to improve teaching of mathematics focusing on the topic of derivatives. This study compared these tools with respect to effects on perceived learning, motivation, and interactivity. To do this, simulations explaining the concept of derivatives were created using both tools. After the creation of the simulations and a related questionnaire, they were sent to student channels and personal contacts. 15 answers were received about the participants' experience of the simulations but personal observations from the authors while watching some participants using the simulations were also included in the results. The results give a preliminary indication that there seems to be a slight preference for p5.js in all measured aspects mainly due to the setup of the tools and the instruction text to Google Colab being difficult to understand. What this indicates is that first, there is an interest in simulations and that simulations could be used as a helpful tool to increase motivation and improve learning of mathematics, and second, that interactivity of the simulation affects learning and motivation positively. ; Utbildning anses vara en av de viktigaste tjänsterna som samhället kan erbjuda, men de senaste åren har det skett en nedgång i förståelsen för matematik bland elever. Därför undersöker detta examensarbete hur Python- och Javascript-kod skriven med hjälp av de webbaserade simuleringsverktygen Jupyter/Google Colab och p5.js kan användas för att förbättra undervisningen i matematik med fokus på ämnet derivator. Denna studie jämförde dessa verktyg med avseende på effekter på upplevt lärande, motivation och interaktivitet. För att göra detta skapades simuleringar som förklarade begreppet derivata med ...