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Anne Karhapää; Pauliina Rikala; Johanna Pöysä-Tarhonen; Raija Hämäläinen – Journal of Workplace Learning, 2024
Purpose: The purpose of this study is to explore how digital technologies at work serve as environments for informal workplace learning in knowledge work. Design/methodology/approach: Digital ethnography was used to investigate the digital environments of one public sector workplace. The data included observations, interviews and participant…
Descriptors: Informal Education, Workplace Learning, Public Sector, Information Technology
Camille Dickson-Deane; Patricia Grant; Dauran McNeil – Distance Learning, 2024
Recognizing that online teaching and learning is placed within an environment where neither the teacher nor the student has complete-control is the first step to actioning capabilities towards a humanized environment. The tool that is typically used in higher education, the learning management system (LMS), has a design that constrains learning…
Descriptors: Learning Management Systems, Empathy, Personal Autonomy, Electronic Learning
Yaxin Tu; Qiyun Wang; Changqin Huang – International Review of Research in Open and Distributed Learning, 2025
Learners' emotional engagement in synchronous online learning (SOL) is critical for improving learning persistence and performance. Nevertheless, there is currently a lack of comprehensive and systematic reviews of emotional engagement in SOL. This review synthesizes the strategies to promote emotional engagement in SOL found in published…
Descriptors: Student Participation, Psychological Patterns, Synchronous Communication, Electronic Learning
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
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
Asma Almusharraf; Hassan Saleh Mahdi; Haifa Al-Nofaie; Amal Aljasser – Journal of Computer Assisted Learning, 2024
Background study: Computer-assisted pronunciation training (CAPT) has emerged as an important resource for second language (L2) pronunciation learning. CAPT offers diverse opportunities for learners to master L2 pronunciation with the help of authentic learning activities in multiple contexts. Objectives: This study presents a comprehensive…
Descriptors: Computer Assisted Instruction, Pronunciation Instruction, Second Language Learning, Second Language Instruction
Navjot Singh – ProQuest LLC, 2024
The rapid growth of edge computing, 5G, and IoT technologies has led to a significant increase in distributed data, creating both opportunities and challenges for machine learning. Federated learning has emerged as a promising approach to enable collaborative model training across decentralized devices while not sharing user data. However,…
Descriptors: Artificial Intelligence, Cooperative Learning, Communications, Efficiency
YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
Josh Tenenberg; Donald Chinn – Computer Science Education, 2025
Background and context: We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic…
Descriptors: Computer Science Education, Epistemology, Student Attitudes, Intellectual Disciplines
Jennifer Raimann; Natalia Reich-Stiebert; Jan-Bennet Voltmer; Stefan Stürmer – Psychology Learning and Teaching, 2025
Background: Male students' achievements in female-dominated study programs have garnered limited research attention. This study investigates the relationship between psychology students' perceived diversity climate and their learning outcomes in a gender-mixed computer-supported collaborative learning (CSCL) course in introductory psychology. Our…
Descriptors: College Freshmen, Males, Computer Assisted Instruction, Cooperative Learning
Siowai Lo – Computer Assisted Language Learning, 2025
The design of tasks to induce learning from audiovisual input is vital for second/foreign language teachers and has attracted a good deal of attention in Computer-Assisted Language Learning (CALL) research. This study presents a new contribution to research in this area by investigating learner engagement in the context of vocabulary learning…
Descriptors: Captions, Video Technology, Computer Assisted Instruction, Second Language Instruction
HaeJin Lee; Nigel Bosch – International Journal of STEM Education, 2024
Self-regulated learning (SRL) strategies can be domain specific. However, it remains unclear whether this specificity extends to different subtopics within a single subject domain. In this study, we collected data from 210 college students engaged in a computer-based learning environment to examine the heterogeneous manifestations of learning…
Descriptors: Computer Assisted Instruction, Self Management, Intellectual Disciplines, College Students
Sakirulai Olufemi Isiaq; Louise Usher – Journal of Learning Development in Higher Education, 2025
This study explores postgraduate students' perceptions of the effectiveness of collaborative learning within computer-based environments. The research investigates the distinctions between collaborative learning and group work, examining how students' attitudes and behaviours differ, and the subsequent impact on learning outcomes. Findings reveal…
Descriptors: Graduate Students, Masters Programs, Cooperative Learning, Computer Assisted Instruction
Thiago Costa Caetano; Camila Cardoso Moreira; Mikael Frank Rezende Junior – IEEE Transactions on Education, 2024
Contribution: This work seeks to ascertain the validity of a remote-controlled experiment of the Physics Remote Lab in the educational context, specifically among students from engineering courses. Background: In 2012, it has been started the development of the Physics Remote Lab at the Federal University of Itajubá, Brazil, a laboratory with a…
Descriptors: Engineering Education, Laboratory Experiments, Foreign Countries, Computer Uses in Education
Katharina Simbeck; Nathalie Sellmeijer; Anne Schatz; Niels Pinkwart – Research on Education and Media, 2024
Spelling and grammar are a priority in first language (L1) classrooms. Digital learning has increased significantly around the world, particularly as a result of the COVID-19 pandemic. While the range of online learning for spelling and grammar is very large, there is still no systematic review of the effectiveness of different features and…
Descriptors: Electronic Learning, Spelling, Educational Environment, Environmental Influences
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