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Lainema, Kirsi; Syynimaa, Kirsi; Lainema, Timo; Hämäläinen, Raija – Journal of Research on Technology in Education, 2023
Extant research has identified the significance of technological affordances in computer-supported learning environments. However, until recently, there is scarcely empirical research on affordances for organizing collaboration in these learning environments. To address this gap, this study empirically examines affordances for organizing…
Descriptors: Undergraduate Students, Business Administration Education, Foreign Countries, Cooperative Learning
An Ex Post Facto Study of a Computer-Based Instruction Program and Adult Learner's Educational Gains
Kovacs, Paula Marie – ProQuest LLC, 2023
The problem addressed in this study was approximately 50% of adult learners enrolled in adult basic education (ABE) classes do not have an educational learning gain in mathematics and numeracy from ABE coursework (National Reporting System, 2022) and were often not promoted to the next level (Smith, 2022). The purpose of this quantitative ex post…
Descriptors: Adult Basic Education, Computer Assisted Instruction, Adult Students, Achievement Gains
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
Yan, Da – Education and Information Technologies, 2023
Technology-enhanced language learning has exerted positive effects on the performance and engagement of L2 learners. Since the advent of tools based on recent advancement in artificial intelligence (AI), educators have made major strides in applying state-of-the-art technologies to writing classrooms. In November 2022, an AI-powered chatbot named…
Descriptors: Artificial Intelligence, Second Language Learning, Writing Instruction, Practicums
Michael W. Pelter; Libbie S. W. Pelter; Phillip I. Dinga; Nicholas E. Ernst; Madison L. Schultz – Journal of Chemical Education, 2023
A cornerstone activity in undergraduate organic laboratories revolves around students running instrumental analysis on their products and interpreting their spectra. They are left to link the theory they have learned in lecture to practical spectral interpretation. Students often memorize benchmark interpretations of peaks, such as the broad…
Descriptors: Undergraduate Students, Chemistry, Science Instruction, Organic Chemistry
Anna G. Brady – Research in Science Education, 2024
Computer-based learning environments (CBLEs) are powerful tools to support student learning. Increasingly of interest is the data that is recorded as learners interact with a CBLE. This "process data" yields opportunities for researchers to examine learners' engagement with a CBLE and explore whether specific interactions are associated…
Descriptors: Electronic Learning, Educational Environment, Data Use, Learner Engagement
Matthew E. Foster – Journal of Research on Educational Effectiveness, 2024
Despite the surge in efficacy studies, the relative effectiveness of any two math interventions is largely unknown and replications are rare. To ensure that students benefit from high-quality learning experiences, the current conceptual replication of Wang and Woodworth, a randomized control trial, evaluated the relative impacts of two computer…
Descriptors: Elementary School Students, Mathematics Instruction, Numeracy, Intervention
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
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
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
Scott Cameron; Carmel Mesiti – Mathematics Education Research Group of Australasia, 2024
In their daily work teachers are responsible for several complex tasks; might AI be harnessed to support teachers in the challenging work of planning lessons? In this paper we investigate the use of an AI tool, namely ChatGPT, to generate a lesson plan that may be of use to teachers in their planning. A carefully worded prompt, informed by…
Descriptors: Artificial Intelligence, Mathematics Education, Lesson Plans, Computer Assisted Instruction
Patrick Bowers; Kelley Graydon; Tracii Ryan; Jey Han Lau; Dani Tomlin – Australasian Journal of Educational Technology, 2024
This study presents a scoping review of research on artificial intelligence (AI)- driven virtual patients (VPs) for communication skills training of healthcare students. We aimed to establish what is known about these emergent learning tools, to characterise their design and implementation into training programmes. The preferred reporting items…
Descriptors: Allied Health Occupations Education, Artificial Intelligence, Computer Simulation, College Students
Haruo Kodama; Motofumi T. Suzuki; Yoshitomo Yaginuma – Asian Association of Open Universities Journal, 2024
Purpose: The purpose of this paper is to propose the need for an integrated system for the production, authoring, addition and revision of webcast content and a multi-device apps mechanism with rights management for Internet transmission in the perspective of the OUJ course reuse. Design/methodology/approach: This paper designs systems that reuse…
Descriptors: Open Universities, Computer Oriented Programs, Multimedia Materials, Video Technology
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

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