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Jiaqi Yin; Haoxin Xu; Yafeng Pan; Yi Hu – npj Science of Learning, 2025
Artificial intelligence (AI) driven chatbots provide instant feedback to support learning. Yet, the impacts of different feedback types on behavior and brain activation remain underexplored. We investigated how metacognitive, affective, and neutral feedback from an educational chatbot affected learning outcomes and brain activity using functional…
Descriptors: Outcomes of Education, Artificial Intelligence, Technology Uses in Education, Computer Mediated Communication
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Brady L. Nash – Reading Research Quarterly, 2025
As meaning-making increasingly happens in digital spaces, it is essential for researchers to examine how students learn to critically read and navigate within and across constantly changing online platforms. This qualitative study examines university students' experiences reading and navigating online. To do so, the author examines self-created…
Descriptors: Video Technology, Reading Processes, Social Media, Teaching Methods
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Caitlin K. Kirby; Imari Cheyne Tetu; Casey Henley – Journal of Educational Technology Systems, 2025
A recent increase in blended course options has changed the landscape of higher education, necessitating revisions of prior categorization of blended online and in-person course models. Building on the Mixed Instructional eXperience (MIX) taxonomy using current literature and course models, we developed three key parameters for defining course…
Descriptors: Blended Learning, Electronic Learning, Undergraduate Study, Undergraduate Students
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H. Gilbert; M. Schürmann; M. Liebendörfer; D. Lawson; M. Hodds – International Journal of Mathematical Education in Science and Technology, 2025
Mathematics and statistics support (MSS) plays an important role at many universities. Typically, support has been provided in person, but during the COVID-19 pandemic, online provision was required. This paper reports on a scoping study comparing how support services changed during the pandemic at institutions in Germany and Great Britain &…
Descriptors: COVID-19, Pandemics, Foreign Countries, College Mathematics
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Venla Hakala; Laura Mielityinen; Kirsi Peltonen; Taina Laajasalo; Noora Ellonen – Youth & Society, 2025
Armed conflicts violate young people's rights by exposing them to violence and trauma, disrupting their sense of safety. This study examines how Russia's war against Ukraine affects Ukrainian adolescents' lives. The study utilizes data from Let's Chat, a free, low-threshold support service for Ukrainian-speaking children and youths. We analyzed…
Descriptors: Foreign Countries, War, Trauma, Violence
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Anthony Wambua Wambua; Peter Mutua Maurice; Martin Mati Munyao – Discover Education, 2025
This study explored learners' experience in an online problem-based learning (PBL) Moodle class. Additionally, an assessment of the PBL approach in enhancing collaborative learning was done to evaluate its effectiveness in eLearning. Lastly, the researchers make recommendations for an effective adoption of PBL in Moodle. To achieve this, an…
Descriptors: Learning Management Systems, Cooperative Learning, Problem Based Learning, Electronic Learning
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Chee-Kit Looi; Fenglin Jia – Education and Information Technologies, 2025
Since the advent of chatbots enabled by Generative AI such as ChatGPT, their application in the domain of education has been linked to promises of personalizing learning (PL). Through a study of conversational interactions of graduate students with such chatbots, this paper provides an empirical study of how current ChatGPT technologies can enable…
Descriptors: Individualized Instruction, Artificial Intelligence, Technology Uses in Education, Educational Technology
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Huanhui Chen; Clinton Chidiebere Anyanwu – Education and Information Technologies, 2025
This study assesses the impact of Moodle AI-powered chatbots and metacognitive teaching approaches on the academic performance of tertiary Business education students. Using a quasi-experimental pre-test/post-test control design and Activity theory, 83 final-year Business education students were sampled from a total of 324. Data were collected…
Descriptors: Artificial Intelligence, Technology Uses in Education, Learning Management Systems, Computer Mediated Communication
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Kathryn N. Thompson; Kimberley L. Chandler; Candice Morgan; Daniel Khashabi; Emily A. Delinski; Benjamin Van Durme – Journal of Advanced Academics, 2025
Large language models (LLMs) have the potential to impact learning in the advanced learner virtual classroom through personalized learning and on-demand feedback. This study investigated whether an LLM added to virtual science course activities impacted student learning. Using the GPT4o model from OpenAI, the LLM was developed as a co-tutor to…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intelligent Tutoring Systems, Electronic Learning
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Ciara Wigham; Cathryn Bennett – JALT CALL Journal, 2025
This study sets out to explore how trainee teachers engage with each other in an initial synchronous virtual exchange task. We adopt Gijsen's (2021) task engagement parameter of partner orientation in combination with multimodal (inter)action analysis (Norris, 2004) to investigate how different verbal and coverbal modes contribute to establishing…
Descriptors: Preservice Teachers, Learner Engagement, Synchronous Communication, Computer Mediated Communication
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Rachel Bleiman; Hwanhee Park; Aunshul Rege – Journal of Cybersecurity Education, Research and Practice, 2025
The online dating industry generated 2.98 billion USD in 2023 and is estimated to reach 3.6 billion USD by 2025. Not surprisingly, online dating platforms are rife with romance scams that cause financial damages, with estimated losses of 1.3 billion USD in 2022 alone. Additionally, victims suffer emotional and psychological harms. This paper…
Descriptors: Dating (Social), Computer Mediated Communication, Deception, Victims
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Molly R. Bowden; Julie A. Moore – Journal of Online Learning Research, 2025
The purpose of this qualitative case study was to understand teachers' rationale and practices as they establish social presence in a 100% online learning environment in a high school setting, with a specific emphasis on paralinguistic cues and symbols, such as emojis, emoticons, and Bitmoji. This case study focused on the meaning and…
Descriptors: Teacher Student Relationship, Cues, Visual Aids, High School Teachers
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Xuyan Qiu; Gavin Bui – Language Teaching Research, 2025
This study investigates the effects of pre-task planning on English as a second language (ESL) learners' engagement in oral tasks in the face-to-face real-time communication (FTF) and synchronous video-based computer-mediated communication (SvCMC) modes. A total of 36 ESL learners performed two decision-making tasks (with versus without pre-task…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
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Craig Lambert; Scott Aubrey – Studies in Second Language Learning and Teaching, 2025
This study provides insight into the role of learner-generated content (LGC) in affective response and engagement during interactive tasks on a video conferencing platform. It also examines task content, affect and conation with respect to recall of the language used on tasks. The performances of four learners on recommendation tasks are analyzed…
Descriptors: Foreign Countries, College Students, Student Developed Materials, Learner Engagement
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Yangu Pan; Shuang Liang; Chunyan Yang; Chun Chen; Xueqin Lin; Zesong Dong – School Mental Health, 2025
Both problematic Internet use (PIU) and bullying perpetration are problem behaviors among adolescents, which exert an adverse influence on their psychosocial well-being. Although the problem behavior theory suggests an association between PIU and bullying perpetration, empirical studies investigating this link are limited. Additionally, little is…
Descriptors: Foreign Countries, Internet, Bullying, Computer Mediated Communication
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