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Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Yanhong Zuo; Fangzhi He – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
Digital multimodal composing (DMC) has been receiving increasing attention in the research on English as an additional language (EAL) instruction in higher education. While this approach responds to students' changing writing practices in the digital world, it can create tension with mandated curricula and high-stakes testing regimes that…
Descriptors: Foreign Countries, Teaching Methods, Literacy Education, Higher Education
Ishant Singhal; Guru Ratan Satsangee; Lakshya Bhardwaj; Gaurang S. Sharma; Anand Swarup Chandrakar; Hritav Gupta; Gargi Malik; Bobby Tyagi; Ankit Sahai; Rahul Swarup Sharma – IEEE Transactions on Learning Technologies, 2024
3D-printing (3DP) is a rapidly evolving sector and is advancing at an unmatched pace. Integrating digital-based approaches to disseminate knowledge within institutional curricula is crucial for mainstreaming knowledge. This work explores the development of a virtual lab (VL) for additive manufacturing (AM), using an interactive VL simulator. The…
Descriptors: Computer Peripherals, Printing, Laboratories, Computer Simulation
R. Alex Smith; Erin Smith; Madeline D. Price – Intervention in School and Clinic, 2024
Mathematical writing (MW) can support students' mathematical learning and is common in mathematics assessment. However, MW is known to be particularly challenging for students with learning disabilities. While the use of model compositions of both high- and low-quality writing and the act of revision are evidence-based practices in writing…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Writing Instruction, Students with Disabilities
Timo Salminen; Minna Lakkala; Liisa Ilomäki; Miika Marttunen – Journal of Educational Research, 2024
The study examined student groups' (n = 72) self-evaluations of their group work and their learning of critical online reading during an inquiry task. The analyses focused on aspects of critical online reading, describing group work practices, and evaluating them. For learning critical online reading, the most often mentioned aspects were sources,…
Descriptors: Group Instruction, Critical Reading, Self Evaluation (Groups), Computer Assisted Instruction
Karen Kortecamp; Michelle Lynn Peters – Journal of Education for Students Placed at Risk, 2024
The purpose of this randomized control trial (RCT) was to examine the impact of one-to-one high-dosage tutoring on reading achievement of kindergarten and first grade students, many at risk of reading failure. This nearly two-year study collected reading assessment data from 185 students, from across 13 classrooms, randomly assigned to either the…
Descriptors: Kindergarten, Preschool Children, Grade 1, Reading Achievement
Albena Nakova; Emilia Chengelova; Valentina Milenkova – International Association for Development of the Information Society, 2024
This article focuses on the work of teachers in the conditions of mobile learning, since teachers perform various activities related to preparation of classes, training and students' assessment in digital learning environment. The analysis emphasizes the fact that the responsibilities of modern teachers are becoming more complicated, following the…
Descriptors: Handheld Devices, Telecommunications, Teaching Methods, Educational Environment
Ignacio Villagran; Rocio Hernandez; Gregory Schuit; Andres Neyem; Javiera Fuentes-Cimma; Constanza Miranda; Isabel Hilliger; Valentina Duran; Gabriel Escalona; Julian Varas – IEEE Transactions on Learning Technologies, 2024
This article presents a controlled case study focused on implementing and using generative artificial intelligence, specifically large language models (LLMs), in physiotherapy education to assist instructors with formulating effective technology-mediated feedback for students. It outlines how these advanced technologies have been integrated into…
Descriptors: Artificial Intelligence, Physical Therapy, Technology Uses in Education, Case Studies
Shalom Labkovski – ProQuest LLC, 2024
In an era of heightened accountability and expanding educational technology choices, mathematics educators must critically assess the effectiveness of the tools available to them. While deciding on technological tools, it is essential that we not only promote rigor in mathematics but also ensure closing learning gaps and improve students' beliefs…
Descriptors: Mathematical Aptitude, Mastery Learning, Individual Development, Course Evaluation
Patricia Domínguez-Gómez; Flavio Celis d’Amico – Informatics in Education, 2024
The creative programming language Processing can be used as a generative architectural design tool, which allows the designer to write design instructions (algorithms) and compute them, obtaining graphical outputs of great interest. This contribution addresses the inclusion of this language in the architecture curriculum, within the context of…
Descriptors: Undergraduate Students, Architectural Education, Architecture, Courseware
Dubey, Pushkar; Sahu, Kailash Kumar – Journal of Research in Innovative Teaching & Learning, 2023
Purpose: Students' perception towards learning technologies in the disruptive times like coronavirus disease (2019) COVID-19 is what the educational institutes are striving to know so that the educational institutes could provide the best learning experiences to students. The present study attempts to identify the technology-enhanced learning…
Descriptors: Technology Uses in Education, Student Satisfaction, Educational Benefits, College Students
Bahari, Akbar; Wu, Sumei; Ayres, Paul – Educational Psychology Review, 2023
A contemporary review (over a 10-year period) was conducted into studies that used computer-assisted language learning (CALL) strategies to learn a second language (L2) by considering the impact of cognitive load. Twelve affordances were identified that led to enhanced learning, namely, online annotations and glosses, captioning, digital…
Descriptors: Computer Assisted Instruction, Second Language Learning, Cognitive Processes, Difficulty Level
Yildiz Durak, Hatice; Atman Uslu, Nilüfer – Educational Technology Research and Development, 2023
The main purpose of Computer-Supported Collaborative Learning (CSCL) is to improve academic performance through collaborative systems design. To increase the quantity and quality of interactions in CSCL and to reduce feelings of loneliness and burnout during online learning, learner group regulation should be supported. According to the…
Descriptors: Learning Strategies, Group Dynamics, Cooperative Learning, Computer Assisted Instruction
Wu, Ting-Ting; Lee, Hsin-Yu; Wang, Wei-Sheng; Lin, Chia-Ju; Huang, Yueh-Min – International Journal of Educational Technology in Higher Education, 2023
In the field of Science, Technology, Engineering, and Mathematics (STEM) education, which aims to cultivate problem-solving skills, accurately assessing learners' engagement remains a significant challenge. We present a solution to this issue with the Real-time Automated STEM Engagement Detection System (RASEDS). This innovative system capitalizes…
Descriptors: STEM Education, Learner Engagement, Self Efficacy, Problem Solving
Figueiredo, Sandra – Journal of Computer Assisted Learning, 2023
Background: As more people around the globe become immigrants or refugees, an increasingly popular subsection of research has aimed to investigate how these populations use mobile-assisted language learning (MALL) to learn the language(s) of the host country. Objectives: This study examines how the language learning, inclusion and self-regulation…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Immigrants

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