Effect of Model-Eliciting Activities Using Cloud Technology on the Mathematical Problem-Solving Ability of Undergraduate Students

Autor/inn/en	Chimmalee, Benjamas; Anupan, Anuchit
Titel	Effect of Model-Eliciting Activities Using Cloud Technology on the Mathematical Problem-Solving Ability of Undergraduate Students
Quelle	In: International Journal of Instruction, 15 (2022) 2, S.981-996 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1694-609X
Schlagwörter	Models; Computer Software; Mathematics Instruction; Problem Solving; Teaching Methods; Undergraduate Students; Comparative Analysis; Mathematics Tests; Mathematical Concepts; Computer Assisted Instruction; Instructional Effectiveness; Foreign Countries; Specialists; Thailand + Suchen Sie Ihr Suchwort? Analogiemodell; Mathematics lessons; Mathematikunterricht; Problemlösen; Teaching method; Lehrmethode; Unterrichtsmethode; Computer based training; Computerunterstützter Unterricht; Unterrichtserfolg; Ausland
Abstract	Problem-solving is considered as an important skill for learning Mathematics. Integration of cloud technology into Model-Eliciting Activities (MEAs) has been considered as an instructional approach to study students' mathematical problem-solving abilities. The purposes of this study were to evaluate the suitability of the MEAs using cloud technology, and assess the mathematical problem-solving ability of undergraduate students learning the proposed model compared with the criteria of 50%. The participants were 50 undergraduate students who were enrolled on Numerical Analysis courses, selected by using a purposive sampling technique. We conducted quasi-experiments using a one-group design to determine the impact of the model on students and assessed whether the students had exceeded the criterion for mathematical problem-solving ability. The research instruments were instructional plans of the MEAs using cloud technology, a suitability assessment form, and a mathematical problem-solving test. The data were analysed quantitatively using descriptive statistics such as mean and standard deviation, and a t-test. The findings revealed that 5 experts evaluated the model as being "most suitable", and that the mathematical problem-solving ability of the undergraduate students exceeded the criterion of 50% at a .05 level of statistical significance. The students displayed satisfactory competence in implementing key mathematical concepts to solve problems. (As Provided).
Anmerkungen	Gate Association for Teaching and Education. e-mail: iji@ogu.edu.tr; Web site: http://e-iji.net/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01