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Jeffery Buckley – Journal of Technology Education, 2024
The use of adaptive comparative judgement (ACJ) for assessment in technology education has been topical since its introduction to the field through the e-scape project coordinated by the Technology Education Research Unit in the United Kingdom. In the last decade, however, there has been an increasing volume of research examining how ACJ can and…
Descriptors: Foreign Countries, Technology Uses in Education, Open Source Technology, Computer Oriented Programs
Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
Gao, Ming; Zhang, Jingjing; Lu, Yu; Kahn, Ken; Winters, Niall – Journal of Computer Assisted Learning, 2023
Background: As a non-cognitive trait, grit plays an important role in human learning. Although students higher in grit are more likely to perform well on tests, how they learn in the process has been underexamined. Objectives: This study attempted to explore how students with different levels of grit behave and learn in an exploratory learning…
Descriptors: Resilience (Psychology), Academic Persistence, Personality Traits, Usability
Thomas Conmy – ProQuest LLC, 2023
The purpose of this meta-analysis was to investigate the effectiveness of the use of games as part of mathematics instruction on academic achievement in grades Kindergarten to 12 in the United States. There were 17 studies selected for investigation published from 2010 to 2023 that focused on game-based learning and mathematics. This meta-analysis…
Descriptors: Meta Analysis, Mathematics Instruction, Game Based Learning, Learning Management Systems
Xiaoji Wang; Wenying Jiang – Computer Assisted Language Learning, 2024
Affordance refers to the opportunity available to a learning activity. Taking affordance as a theoretical and analytical construct, this exploratory study investigates learners' attitudes and the opportunities WeChat may provide for Chinese cultural knowledge (CCK) learning. The aim is to find out the potential new affordances and compare learners…
Descriptors: Computer Software, Computer Mediated Communication, Cultural Awareness, Learning Activities
Kyza, Eleni A.; Georgiou, Yiannis; Agesilaou, Andria; Souropetsis, Markos – Journal of Educational Computing Research, 2022
There are increasing calls to introduce computational thinking in schools; the arguments in favor call upon research suggesting that even kindergarten children can successfully engage in coding. This contribution presents a cross-sectional study examining the coding practices and computational thinking of fifty-one primary school children using…
Descriptors: Case Studies, Elementary School Students, Computer Science Education, Coding
Maher, Carolyn; Schazmann, Benjamin; Gornushkin, Igor B.; Rurack, Knut; Gojani, Ardian B. – Journal of Chemical Education, 2021
Laser-induced breakdown spectroscopy (LIBS) and principal component analysis (PCA) are frequently used for analytical purposes in research and industry, but they seldom are part of the chemistry curriculum or laboratory exercises. This case study paper describes the combined application of LIBS and PCA during a research internship for an…
Descriptors: Factor Analysis, Case Studies, Internship Programs, Undergraduate Students
Lubera, Amber – ProQuest LLC, 2023
This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…
Descriptors: Second Language Learning, Second Language Instruction, Learner Engagement, Linguistics
Kovács, Zoltán; Recio, Tomás; Vélez, M. Pilar – International Journal for Technology in Mathematics Education, 2018
This document introduces, describes and exemplifies the technical features of some recently implemented automated reasoning tools in the dynamic mathematics software GeoGebra. The new tools are based on symbolic computation algorithms, allowing the automatic and rigorous proving and discovery of theorems on constructed geometric figures. Some…
Descriptors: Geometry, Mathematics Instruction, Teaching Methods, Comparative Analysis
Fisher, Aidan A.E. – Journal of Chemical Education, 2019
Computational approaches toward simulating chemical systems and evaluating experimental data has gathered great momentum in recent years. The onset of more powerful computers and advanced software has been instrumental to this end. This manuscript presents a hands-on activity which trains students in basic coding skills within the Matlab…
Descriptors: Computer Software, Chemistry, Quantum Mechanics, Energy
Fung, Chak Him; Poon, Kin Keung – International Journal of Mathematical Education in Science and Technology, 2021
This study consisted of two stages. In stage A, 38 students were divided randomly into an experimental and a control group. The experimental group received lectures assisted by dynamic geometry software (DGS) and the control group received lectures using chalk and blackboard. The effects of DGS on metacognition and its components were…
Descriptors: Metacognition, Learning Activities, Teaching Methods, Comparative Analysis
Tan, Chekfoung; Casanova, Diogo; Huet, Isabel; Alhammad, Muna – International Journal of Mobile and Blended Learning, 2022
Due to the COVID-19 pandemic, most universities needed to move to online teaching and learning, in some cases with very limited knowledge or experience in running online programmes. Engaging students online has become an imminent challenge that universities and academics are still trying to address. This paper reports on the findings from the…
Descriptors: Blended Learning, Cooperative Learning, COVID-19, Pandemics
Eghterafi, Wadi; Tucker, Mary C.; Zhang, Icy; Son, Ji Yun – Online Learning, 2022
In this study, we examined the effect of video-based feedback designed to highlight a peer engaging in effective thinking processes on self-efficacy beliefs and learning outcomes (performance on a delayed quiz). Students in an introductory statistics course participated in an online learning activity where they received feedback in one of three…
Descriptors: Feedback (Response), Mastery Learning, Self Efficacy, Teaching Methods
Lee, Victor R.; Drake, Joel; Cain, Ryan; Thayne, Jeffrey – Cognition and Instruction, 2021
Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…
Descriptors: Statistics Education, Familiarity, Self Concept, Prior Learning
Kannan, Vijayanandhini; Warriem, Jayakrishnan M.; Majumdar, Rwitajit; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2022
With COVID-19 pandemic forcing academic institutions to shift to emergency remote teaching (ERT), teachers worldwide are attempting several strategies to engage their learners. Even though existing research in online learning suggests that effectiveness of the online session is more dependent on pedagogical design rather than technology feature,…
Descriptors: Physics, Undergraduate Students, COVID-19, Pandemics