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Moore, Robert L.; Jiang, Shiyan; Abramowitz, Brian – Journal of Research on Technology in Education, 2023
This systematic review examines the empirical literature published between 2014 and 2021 that situates artificial intelligence within K-12 educational contexts. Our review synthesizes 12 articles and highlights artificial intelligence's instructional contexts and applications in K-12 learning environments. We focused our synthesis on the learning…
Descriptors: Artificial Intelligence, Technology Uses in Education, Elementary Secondary Education, Computer Assisted Instruction
Demetriou, Kyriakos – International Journal of Learning Technology, 2023
This study explores the strengths and weaknesses of using educational technology in inclusive settings with limited available resources, in Cyprus. A primary school teacher and her students participated in a series of classroom-based computer-mediated collaborative learning sessions. Students worked in groups and solved a number of mathematical…
Descriptors: Educational Technology, Inclusion, Computer Assisted Instruction, Cooperative Learning
Aleksandar Milenkovic; Nemanja Vucicevic – International Electronic Journal of Mathematics Education, 2024
The contents of calculus, known for their complexity, present significant challenges for students, particularly in mastering multiple integrals and effectively visualizing related concepts. The transition to distance learning prompted by the COVID-19 pandemic has further complicated the learning process in multiple integrals. In line with this and…
Descriptors: Mathematics Instruction, Mathematics Achievement, Calculus, COVID-19
Zengin, Yilmaz – International Journal for Technology in Mathematics Education, 2023
This study explores university students' understanding of the relationships between formal definitions of the limit of a function and the limit of a sequence in terms of the accumulation point in a technology-enhanced collaborative learning environment. The participants of this study are 17 prospective mathematics teachers. The data are collected…
Descriptors: Computer Software, Mathematics Instruction, Undergraduate Students, Concept Formation
Jingwan Tang – ProQuest LLC, 2023
This study aims to explore the validity of measuring joint attention through gaze coordination in computer-supported collaborative learning (CSCL) research. Gaze coordination, aligning visual attention in social contexts, aids comprehension and communication. Many CSCL researchers use gaze coordination to gauge joint attention quantitatively.…
Descriptors: Mathematics Instruction, Problem Solving, Cooperative Learning, Eye Movements
Liang, Changhao; Majumdar, Rwitajit; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2021
Collaborative learning in the form of group work is becoming increasingly significant in education since interpersonal skills count in modern society. However, teachers often get overwhelmed by the logistics involved in conducting any group work. Valid support for executing and managing such activities in a timely and informed manner becomes…
Descriptors: Automation, Cooperative Learning, Grouping (Instructional Purposes), Computer Assisted Instruction
Allan Mesa Canonigo – Journal of Computer Assisted Learning, 2024
Motivation: This research investigates the transformative impact of integrating AI into mathematics education, aiming to enhance students' conceptual understanding and self-efficacy. It addresses the crucial need for innovative teaching methods in response to contemporary challenges in education and aims to fill gaps in understanding the potential…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Mathematics Instruction, Problem Solving
Johann Engelbrecht; Marcelo C. Borba – ZDM: Mathematics Education, 2024
In this paper we review selected significant developments in the use of digital technology in the teaching and learning of mathematics over the last five years. We focus on a number of important topics in this field, including the evolvement of STEAM and critical making as well as the process of redefining learning spaces in the transformation of…
Descriptors: STEM Education, Art Education, COVID-19, Pandemics
Bas, Gokhan; Kivilcim, Zafer S. – International Journal of Technology in Education, 2021
The purpose of this research was to perform a meta-analysis to draw conclusions about the effectiveness of traditional, cooperative, constructivist, and computer-assisted teaching, and also to compare the effectiveness of these four approaches over the last twenty years. So, the present research adopted meta-analysis technique. In order to…
Descriptors: Conventional Instruction, Cooperative Learning, Constructivism (Learning), Computer Assisted Instruction
Leikin, Roza; Ovodenko, Regina – For the Learning of Mathematics, 2021
Advancement of self-regulation during complex problem solving and the development of strategical reasoning are among the central educational goals linked to 21st century skills. In this paper we introduce the notion of "Stepped Tasks", which are specially designed in Top-Down structure to achieve these goals in mathematics instruction.…
Descriptors: Problem Solving, Mathematics Instruction, Task Analysis, Metacognition
Adanir, Gulgun Afacan – Turkish Online Journal of Distance Education, 2019
Learning groups' conversations in computer supported collaborative learning (CSCL) environments result in significant information regarding the content of the course. This information is beneficial for instructors to analyze learners' activities during their collaboration process. In understanding these activities and performance of learners, the…
Descriptors: Group Discussion, Cooperative Learning, Computer Mediated Communication, Graduate Students
Dag, Funda; Sumuer, Evren; Durdu, Levent – Journal of Learning Spaces, 2019
An active learning environment is a technology-enriched and interactive physical space convenient for applying cooperative, active and engaged learning. It allows focus on engaging experiences for students and faculty. This study investigated pre-service teachers' perceptions and experiences in courses in an active learning environment. Eighty…
Descriptors: Preservice Teachers, Student Attitudes, Student Experience, Active Learning
Gambari, Amos Isiaka; Shittu, Ahmed Tajudeen; Taiwo, Oladipupo Abimbola – Pedagogical Research, 2016
Values are the personal convictions which one finds important. Three different aspects which are associated with mathematics education differently are identified, namely, values through mathematics education, values of mathematics education, and values for mathematics. These are paired with Bishop's (1996) conceptions of general educational,…
Descriptors: Algebra, Mathematical Concepts, Cooperative Learning, Computer Assisted Instruction
Vogel, Freydis; Kollar, Ingo; Ufer, Stefan; Reichersdorfer, Elisabeth; Reiss, Kristina; Fischer, Frank – Instructional Science: An International Journal of the Learning Sciences, 2016
Collaboration scripts and heuristic worked examples are effective means to scaffold university freshmen's mathematical argumentation skills. Yet, which collaborative learning processes are responsible for these effects has remained unclear. Learners presumably will gain the most out of collaboration if the collaborators refer to each other's…
Descriptors: Persuasive Discourse, Skill Development, Mathematics Skills, Computer Assisted Instruction
Hodgen, Jeremy; Barclay, Nancy; Foster, Colin; Gilmore, Camila; Marks, Rachel; Simms, Victoria – Education Endowment Foundation, 2020
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the writing of the guidance report "Improving Mathematics in the Early Years and Key Stage One" (ED612298). The review aimed to synthesise the best available international evidence regarding teaching and learning of mathematics for…
Descriptors: Mathematics Instruction, Elementary School Mathematics, Early Childhood Education, Instructional Effectiveness