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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
Iskrenovic-Momcilovic, Olivera – Interactive Learning Environments, 2023
The aim of the research is to examine the contribution of mobile application using in botanical fieldwork to the quality and durability of knowledge of the subject Nature and society compared to multimedia teaching in the fourth grade of primary school. The study involved 120 students, divided into two groups: control group, which taught on the…
Descriptors: Elementary School Students, Control Groups, Grade 4, Handheld Devices
Tracey Tokuhama-Espinosa; Jovi R. S. Nazareno; Christopher Rappleye – Teachers College Press, 2024
Writing is the highest form of thinking, as evidenced by neuroimaging that shows how more neural networks are activated simultaneously during writing than during any other cognitive activity. This book will help teachers understand how the brain learns to write by unveiling 15 stages of thinking that underpin the writing process, along with…
Descriptors: Neurosciences, Writing Assignments, Writing Processes, Feedback (Response)
Eka Ariyati; Herawati Susilo; Hadi Suwono; Fatchur Rohman – Journal of Biological Education Indonesia (Jurnal Pendidikan Biologi Indonesia), 2024
Learning must be able to develop knowledge, skills, and mindsets so that the graduates produced have attitudes, abilities and knowledge that are integrated and skilled in life. One way to achieve learning can be done through habits of mind because the success of learning is strongly influenced by habits of mind. The purpose of this study is to as…
Descriptors: Cognitive Processes, Science Education, Teaching Methods, Blended Learning
Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
Grzyb, Beata J.; Nagai, Yukie; Asada, Minoru; Cattani, Allegra; Floccia, Caroline; Cangelosi, Angelo – Developmental Science, 2019
Young children sometimes attempt an action on an object, which is inappropriate because of the object size--they make scale errors. Existing theories suggest that scale errors may result from immaturities in children's action planning system, which might be overpowered by increased complexity of object representations or developing teleofunctional…
Descriptors: Error Patterns, Young Children, Cognitive Processes, Semantics
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
Liew, Tze Wei; Tan, Su-Mae; Kew, Si Na – Information and Learning Sciences, 2022
Purpose: This study aims to examine if a pedagogical agent's expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness. Design/methodology/approach: A between-subjects experiment was conducted in which learners engaged with a multimedia learning…
Descriptors: Teaching Methods, Multimedia Instruction, Psychological Patterns, Emotional Response
Ahn, Byunghoon; Harley, Jason M. – British Journal of Educational Technology, 2020
Learning analytics (LA) incorporates analyzing cognitive, social and emotional processes in learning scenarios to make informed decisions regarding instructional design and delivery. Research has highlighted important roles that emotions play in learning. We have extended this field of research by exploring the role of emotions in a relatively…
Descriptors: Nonverbal Communication, Computer Software, LGBTQ People, Data Analysis
Tsai, Meng-Jung; Wu, An-Hsuan; Chen, Yuping – Applied Cognitive Psychology, 2019
This study aimed to examine how different forms (still pictures vs. animations) of seductive illustrations impact text-and-graphic learning processes, perceptions, and outcomes. An eye-tracking experiment of three groups (static, dynamic, and control) was conducted with 60 college and graduate students while learning with PowerPoint slides about…
Descriptors: Eye Movements, Illustrations, Learning Processes, Animation
Galimova, Elvira G.; Konysheva, Aliya V.; Kalugina, Olga A.; Sizova, Zhanna M. – EURASIA Journal of Mathematics, Science and Technology Education, 2019
Overcoming the effects of the global economic crisis and focusing on innovative development demanded the modernization of the education system, a key factor in improving various areas of human activity. Digital technologies nowadays are a comprehensive platform for the development of all sectors of the economy, including the field of education.…
Descriptors: Cognitive Processes, Mathematics Instruction, Teaching Methods, Student Motivation
Strawhacker, Amanda; Bers, Marina Umaschi – Educational Technology Research and Development, 2019
Computer programming for young children has grown in popularity among both educators and product developers, but still relatively little is known about what skills children are developing when they code. This study investigated N = 57 Kindergarten through second grade children's performance on a programming assessment after engaging in a 6-week…
Descriptors: Coding, Programming, Computer Science Education, Kindergarten
Eckhardt, Marc; Urhahne, Detlef; Harms, Ute – Education Sciences, 2018
Intuitive knowledge seems to influence human decision-making outside of consciousness and differs from deliberate cognitive and metacognitive processes. Intuitive knowledge can play an essential role in problem solving and may offer the initiation of subsequent learning processes. Scientific discovery learning with computer simulations leads to…
Descriptors: Computer Simulation, Grade 8, Secondary School Students, Foreign Countries
D'Errico, Francesca; Paciello, Marinella; De Carolis, Bernardina; Vattanid, Alessandro; Palestra, Giuseppe; Anzivino, Giuseppe – International Journal of Emotional Education, 2018
In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic…
Descriptors: Well Being, Self Efficacy, Academic Achievement, Cognitive Processes