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Marcus Wolfe – ProQuest LLC, 2024
This qualitative study examines how playing levels of a fraction-themed videogame impacts students' thinking. The research question answered is: What do students' gestures reveal about the degree to which their thinking is embodied as they play a videogame that is constructed via a grounded metaphor for mathematical knowledge. Four soon-to-be…
Descriptors: College Bound Students, College Freshmen, Universities, Mathematics Education
Nurzhanat Shakirova; Iza Berechikidze; Elvira Gafiyatullina – Education and Information Technologies, 2024
This study evaluated the effect of using AR technology to develop environmental literacy (RQ1), motivation (RQ2), and perceived cognitive load (RQ3) among high school students. The sample of participants in this study included 155 10th -grade students in general education. They took a semester-long Natural Resource Ecology course. The participants…
Descriptors: High School Students, Educational Technology, Student Motivation, Environment
Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
Wallace-Spurgin, Mecka – International Society for Technology, Education, and Science, 2019
"Measuring Student Cognitive Engagement When Using Technology" was designed to determine if students were using the recently purchased Chromebooks as well as if they were cognitively engaged when using the technology. Data collected using the IPI-T process suggested teachers were typically the users of the technology, students were often…
Descriptors: High School Students, Computer Use, Learner Engagement, Technology Integration
Yu-Shan Chang; Meng-Chen Tsai – Educational Studies, 2024
This study explored the effects of design thinking on the conceptual cognition of artificial intelligence (AI) learning, attitudes toward AI, idea creativity, and the product creativity of AI applications. The concept map indicated that design thinking had a significant effect on the conceptual cognition of AI learning, particularly the relational…
Descriptors: Design, Cognitive Processes, Creativity, Artificial Intelligence
Segun Michael Ojetunde; Umesh Ramnarain – Smart Learning Environments, 2025
Learning interaction patterns is key to the explanation of learning outcomes. Different studies have reported the relationship between classroom process variables and learning outcomes in a traditional classroom setting. However, the advent of robotics and its attendant student-robot interaction moderated by students' mathematical ability is yet…
Descriptors: Robotics, Technology Uses in Education, Mathematics Skills, Outcomes of Education
Safwa Abdul-Aziz – ProQuest LLC, 2024
Many students struggle with decoding and implementing feedback given to them on writing assignments. Researchers and instructors have used various technologies and strategies to improve students' uptake of feedback given on written assignments, one of which is a form of video feedback called screencasting. Research has been conducted on students'…
Descriptors: Visual Aids, Video Technology, Feedback (Response), Secondary School Teachers
Jiseung Yoo; Jisun Park; Minsu Ha; Chelcea Mae Lagmay Darang – SAGE Open, 2024
In the context of formative assessment in classrooms, the incorporation of automated evaluation (AE) systems and teachers' interactions with them hold significant importance. This study aimed to investigate the cognitive processes of pre-service teachers as they engaged with an AE system. We developed an unsupervised learning-based AE system, the…
Descriptors: Preservice Teachers, Cognitive Processes, Automation, Supervision
Maria Carmen R. Lagalante – ProQuest LLC, 2023
Cognitive load is the effort needed to process and store information in memory and can be measured via subjective, physiological, and performance methods. Virtual reality learning environments (VRLEs) enhance science aptitude and motivate students to pursue science careers. Cognitive load is divided into three types: intrinsic, extraneous, and…
Descriptors: High School Students, Science Education, Difficulty Level, Cognitive Processes
Wu, Sheng-Yi – Journal of Educational Computing Research, 2020
During collaborative learning in online learning communities, teachers usually guide their students through the learning process by means of discussion-based didactics. According to relevant research, an uncontrolled, nonintrusive discussion environment is usually insufficient for promoting higher cognitive processing (HCP). To address this…
Descriptors: Cooperative Learning, Problem Solving, Cognitive Processes, Teaching Methods
Baichang Zhong; Siyu Su; Xiaofan Liu; Zehui Zhan – Interactive Learning Environments, 2023
Brief Summary: Technology-Based Embodied Learning (TBEL) is a hotspot in learning science. By systematically reviewing 49 SSCI journal articles, this paper revealed the relationship between any two of sample group, sample size, duration, subject distribution, research design, and measurement instrument, etc. In general, the major results showed…
Descriptors: Technology Uses in Education, Cognitive Processes, Comprehension, Skill Development
Ramona Hagenkötter; Valentina Nachtigall; Katrin Rolka; Nikol Rummel – European Journal of Psychology of Education, 2024
The implementation of video modeling examples of mathematical hands-on experimentation may provide students with authentic and, at the same time, not too cognitively overwhelming experiences. However, the effectiveness of video modeling examples can be influenced by different characteristics of the observed models. On the one hand, based on the…
Descriptors: Experiential Learning, Mathematical Concepts, Video Technology, Authentic Learning
Lazaro Lima; Ione Goulart; Luis Gonzaga Magalhães; Pedro Rangel Henriques – International Association for Development of the Information Society, 2022
The challenges in learning and teaching computer programming relate to everyone who needs to prepare others for the digital world. Learning and teaching computer programming is a challenge because it requires persistence and dedication. Nowadays, Computational Thinking is understood as an essential skill to overcome those challenges. In this…
Descriptors: Computer Simulation, Active Learning, Thinking Skills, Cognitive Processes
Ji Yae Bong; Kyunghwa Cho; Zhichun Liu; Dan He – British Journal of Educational Technology, 2024
High attrition/dropout rates and low engagement have been major concerns of online educators. This study examined female high school students' cognitive engagement and disengagement in an online learning context during the COVID-19 pandemic through the lens of self-determination theory's basic psychological needs. We investigated an extended…
Descriptors: High School Students, Females, Cognitive Processes, Learner Engagement
Yang Wang; Yating Zhang – Distance Education, 2024
With the development of technology and the normalization of COVID-19 pandemic prevention and control, asynchronous online learning is becoming popular. However, it is still to be explored on how to enhance students' learning engagement and knowledge construction. Based on this, we used content analysis to explore the roles of teaching strategies…
Descriptors: Teaching Methods, Learner Engagement, Asynchronous Communication, Electronic Learning