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Kontorovich, Igor' – International Journal of Mathematical Education in Science and Technology, 2023
In undergraduate mathematics education, students' collaborations have gained a reputation as a 'good' learning practice. A more complex image emerges once collaborations are construed as an arena where cognitive, social, and affective matters intertwine in ways that can fuel and impede learning. In this study, I take a close look at a…
Descriptors: Undergraduate Students, Cooperative Learning, Learning Processes, Computer Assisted Instruction
Öztop, Feyyaz – Journal of Science Learning, 2023
The purpose of this study was to reveal the effect of digital technology-assisted STEM (Science, technology, engineering, and mathematics) education on academic achievement. To achieve this purpose, experimental studies, including pre-test and post-test, were examined by meta-analysis. The study's data were obtained from 34 studies that met the…
Descriptors: Meta Analysis, Instructional Effectiveness, Academic Achievement, STEM Education
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
Dipali Basumatary; Ranjan Maity – Journal of Computer Assisted Learning, 2024
Background: Augmented reality can provide a 3D virtual experience, widely used in modern education. However, the impact of these applications on the underdeveloped tribal community has yet to be investigated. To our knowledge, no markerless augmented reality application has been developed especially for learning the language of the Bodo tribe.…
Descriptors: Computer Simulation, Language Maintenance, Tribes, Teaching Methods
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Romadiah, Hikmah; Dayurni, Popi; Fajari, Laksmi Evasufi Widi – Online Submission, 2022
This research is motivated by the increasing number of users of android-based learning media it impacts the learning outcomes obtained. This study aims to determine the effect of android-based learning media on improving student learning outcomes. This research is a meta-analysis study. Data collection techniques are taken from indexing databases…
Descriptors: Meta Analysis, Handheld Devices, Telecommunications, Computer Assisted Instruction
Li Xiangming; Xuening Li; Jingshun Zhang – Interactive Learning Environments, 2024
In this paper, we report a 12-week longitudinal study aiming at exploring the students' reading outcome and cognitive load with individual-based print, mobile app of Rain Classroom and collaboration-based social media of WeChat. Administered to 186 postgraduate students in a research university were the weekly reading materials and comprehension…
Descriptors: Outcomes of Education, Reading, Cognitive Processes, Difficulty Level
Jenny Yun-Chen Chan; Erin R. Ottmar; Ji-Eun Lee – Grantee Submission, 2022
We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…
Descriptors: Problem Solving, Algebra, Self Efficacy, Mathematics Anxiety
Hedayat Sarandi; Hossein Nassaji – Studies in Second Language Learning and Teaching, 2024
This study examines the role of recast frequency and its effectiveness in the acquisition of English articles in a computer-mediated context. Sixty-one preintermediate university language learners in Turkey were randomly divided into four main groups: high frequency recast (HF), low frequency recast (LF), test control, and task control groups. The…
Descriptors: Word Frequency, Second Language Learning, Second Language Instruction, Error Correction
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Soboleva, Elena V.; Zhumakulov, Khurshidzhon K.; Umurkulov, Kayumzhon P.; Ibragimov, Gasanguseyn I.; Kochneva, Lyubov V.; Timofeeva, Maria O. – EURASIA Journal of Mathematics, Science and Technology Education, 2022
The lack of sufficiently developed methodological basis before graduation adversely affects the mathematical competency of future experts that are required by the modern economy. The study aims to investigate the features of the development of a personalized model of teaching mathematics by means of interactive novels to improve the quality of…
Descriptors: Mathematics Instruction, Teaching Methods, Novels, Mathematics Skills
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
Durongbhandhu, Nunpaporn; Suwanasilp, Danuchawat – LEARN Journal: Language Education and Acquisition Research Network, 2023
Language Instruction, especially teaching and learning English for specific purposes (ESP) with Computer-Assisted Language Learning (CALL) has grown in popularity for over a decade. Task-based Language Teaching (TBLT) is one of the appropriate teaching approaches used to make CALL more effective. This study attempts to develop, implement, and…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
Hwang, Wu-Yuin; Hoang, Anh; Tu, Ya-Han – Asia-Pacific Education Researcher, 2020
Although geometry is important and strongly related to our surroundings, students still have few chances to learn it through practicing in authentic contexts. Therefore, ubiquitous geometric (UG) APP in mobile devices was developed in this study and allowed students to apply and practice geometry in authentic contexts. This study focused on the…
Descriptors: Geometry, Mathematics Instruction, Telecommunications, Handheld Devices