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Justin Edwards; Andy Nguyen; Joni Lämsä; Marta Sobocinski; Ridwan Whitehead; Belle Dang; Anni-Sofia Roberts; Sanna Järvelä – British Journal of Educational Technology, 2025
Socially shared regulation of learning (SSRL) is a crucial process for groups of learners to successfully collaborate. Detecting and supporting SSRL is a challenge, especially in real time, but hybrid intelligence approaches such as Artificial Intelligence (AI) agents may make this possible. Leveraging the concept of trigger events which invite…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Metacognition
Sahar Vali – ProQuest LLC, 2024
This qualitative practice-based study explores the efficacy of reformed-based science teaching approaches in fostering meaningful student engagement within elementary science classrooms, framed within the science-as-practice paradigm. Utilizing three theoretical frameworks, the Next Generation Science Standards (NGSS) and Ambitious Science…
Descriptors: Teaching Methods, Learning Processes, Science Education, Educational Change
Markus H. Hefter; Kirsten Berthold – Interactive Learning Environments, 2024
Numerous effective digital learning environments have evolved over the last few years built around video examples that follow an introduction phase and are often supplemented by prompts. The learning mechanisms behind these components remain subject to open questions, though. We thus conducted an online experiment with university students (N =…
Descriptors: Electronic Learning, Video Technology, Cues, College Students
Ortmann, Cecilia – Learning, Media and Technology, 2022
The article seeks to provide new perspectives on the gender gap that characterizes free software, from the review of a series of experiences that have been taking place in Argentina in recent years, which aim at building bridges between free software and feminism. The empirical corpus selected for this work is built upon a series of interviews…
Descriptors: Activism, Feminism, Teaching Methods, Computer Software
Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
Rui Sun; Xuefei Deng – Journal of Information Systems Education, 2025
This paper examines university students' perceptions of and experiences with using ChatGPT, a generative artificial intelligence (GenAI) tool, to enhance their experiential learning. In this exploratory study, we designed a ChatGPT learning activity flow corresponding to the four experiential learning steps. Analysis of survey data collected from…
Descriptors: Artificial Intelligence, Cues, Teaching Methods, Technology Uses in Education
Ilona Bass; Cristian Espinoza; Elizabeth Bonawitz; Tomer D. Ullman – Cognitive Science, 2024
When people make decisions, they act in a way that is either automatic ("rote"), or more thoughtful ("reflective"). But do people notice when "others" are behaving in a rote way, and do they care? We examine the detection of rote behavior and its consequences in U.S. adults, focusing specifically on pedagogy and…
Descriptors: Teaching Methods, Learning Processes, Rote Learning, Critical Thinking
Caroline J. Crowder; Brandon J. Yik; Stephanie J. H. Frost; Daniel Cruz-Rami´rez de Arellano; Jeffrey R. Raker – Journal of Chemical Education, 2024
Understanding reaction mechanisms is integral to success in organic chemistry; however, prior research suggests that learners struggle with recognizing the importance of underlying implicit features in reaction mechanisms. Because of this struggle, understanding how learners' reason about reaction mechanisms and developing assessments to elicit…
Descriptors: Organic Chemistry, Science Instruction, Prompting, Cues
Stephens, Mackenzie; Santangelo, Jessica – College Teaching, 2022
Metacognition is important for both teaching and learning. Effective teachers are metacognitive about teaching, reflecting on, and making adjustments to instructional approaches to support student learning. However, relative to the literature on student metacognition about learning, there is a paucity of research on college instructor…
Descriptors: College Faculty, Metacognition, Teaching Methods, Student Centered Learning
Sheetal Deo; Mercedez Hinchcliff; Nguyen T. Thai; Mary Papakosmas; Paul Chad; Troy Heffernan; Belinda Gibbons – Journal of Marketing Education, 2024
This qualitative study aims to explore how a university-level School of Marketing integrates the Sustainable Development Goals (SDGs) into curriculum, using Bloom's Taxonomy, and to develop a reflective process that could be applied within tertiary education, more broadly. The research investigates the depth of SDG integration, with marketing…
Descriptors: Marketing, Business Administration Education, Sustainable Development, Objectives
Erdem Onan; Felicitas Biwer; Roman Abel; Wisnu Wiradhany; Anique de Bruin – npj Science of Learning, 2024
During category learning, students struggle to create an optimal study order: They often study one category at a time (i.e., blocked practice) instead of alternating between different categories (i.e., interleaved practice). Several interventions to improve self-study of categorical learning have been proposed, but these interventions have only…
Descriptors: Metacognition, Learning Strategies, Cues, Instructional Materials
Rhodes, Matthew G. – Teaching of Psychology, 2019
Metacognition refers to a set of processes an individual uses in monitoring ongoing cognition so as to effectively control his or her own behavior. In this article, I discuss key frameworks for characterizing metacognition and describe approaches to measuring metacognition. Modern research in metacognition assumes that monitoring of cognition…
Descriptors: Metacognition, Learning Processes, Accuracy, Concept Formation
Hui Zhang; Yi Zhang; Tao Xu; Yun Zhou – Educational Technology Research and Development, 2024
Virtual Reality (VR) is increasingly recognized as a promising tool to enhance learning, yet research on the use of VR instructional approaches for online learning remains limited. The present study aims to address this research gap by examining the effects of VR instructional approaches and textual cues on learning. We conducted an educational VR…
Descriptors: Teaching Methods, Cognitive Ability, Computer Simulation, Cues
Shunan Zhang; Xiangying Zhao; Dongyan Nan; Jang Hyun Kim – International Journal of Educational Technology in Higher Education, 2024
Prior research has explored the impact of diverse anthropomorphic interventions on the effectiveness of AI (artificial intelligence) instructors. However, the exploration of interpersonal communication skills (e.g., self-disclosure) as anthropomorphic conversational cues for AI instructors is rare. Considering the positive impact of the…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
Elina Banzina – Language Teaching Research, 2024
Persuasiveness in oral communication in English can be expressed with various vocal phonetic cues that may not be readily accessible to English second language (L2) learners whose native language may employ a different set of cues. With a goal to increase L2 learners' perceived spoken confidence and persuasiveness, and obtain empirical evidence…
Descriptors: Language Variation, English (Second Language), Second Language Instruction, Second Language Learning