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Hirai, Masahiro; Kanakogi, Yasuhiro; Ikeda, Ayaka – Developmental Science, 2022
'Motionese' can be defined as an exaggerated and repetitive action. It induces preference and learning in infants. However, which action component of motionese promotes infants' preference and learning remains largely unknown. In this study, we focused on inefficiency and toward-ness of action. Our study demonstrates that observing an inefficient…
Descriptors: Infants, Learning Processes, Preferences, Observational Learning
Guoqian Luo; Hengnian Gu; Xiaoxiao Dong; Dongdai Zhou – Education and Information Technologies, 2025
In the realm of e-learning, supporting personalized learning effectively necessitates recommending sequences of learning items that maximize learning efficiency while minimizing cognitive load, all tailored to the learner's goals. These recommendations must account for the prerequisite relationships among learning items and the learner's…
Descriptors: Electronic Learning, Individualized Instruction, Sequential Learning, Learning Processes
Lin Zhong – Interactive Learning Environments, 2024
Being efficient learners is important in the modern workforce, but improved performance and cognitive load do not imply that students are efficient learners. This study investigated the effectiveness of a personalized role-playing game in students' learning efficiency (LE) and mental efficiency. Results showed that students in the personalized…
Descriptors: Role Playing, Game Based Learning, Program Effectiveness, Learning Processes
Bush-Mecenas, Susan – American Educational Research Journal, 2022
The continuous improvement (CI) approach to systems change has rapidly spread across education policy circles in recent years and has been hailed as a promising means to achieve educational equity and social justice. CI's highly routinized, scientific process for improving efficiency and productivity is a somewhat unexpected means to pursue…
Descriptors: Educational Improvement, Teaching Methods, Learning Processes, Equal Education
Gyeonggeon Lee; Xiaoming Zhai – TechTrends: Linking Research and Practice to Improve Learning, 2025
Educators and researchers have analyzed various image data acquired from teaching and learning, such as images of learning materials, classroom dynamics, students' drawings, etc. However, this approach is labour-intensive and time-consuming, limiting its scalability and efficiency. The recent development in the Visual Question Answering (VQA)…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Learning Processes
Qi Lang; Shengjing Tian; Mo Wang; Jianan Wang – IEEE Transactions on Learning Technologies, 2024
Entrepreneurship education is critical in encouraging students' innovation, creativity, and entrepreneurial spirit. It provides essential skills and knowledge, enabling them to open their creative potential and apply innovative thinking across diverse professional fields. With the widespread application of large language models in education,…
Descriptors: Entrepreneurship, Business Administration Education, Artificial Intelligence, Creativity
Hassan Hessari; Ankit Agarwalla; Mohammad Bai; Morteza Vahedian; Ali Bai – International Journal on E-Learning, 2025
This study investigates the multifaceted impact of generative AI tools (e.g., ChatGPT, Gemini) on higher education. Employing grounded theory, we analyzed the experiences of eight students using these tools in their academic work. Our findings reveal both significant benefits, including enhanced learning, efficiency, and accessibility, and…
Descriptors: Artificial Intelligence, Technology Uses in Education, College Students, Learning Processes
Mirmoghtadaie, Zohrehsadat; Keshavarz, Mohsen; Kohan, Noushin; Ahmady, Soleiman – International Review of Research in Open and Distributed Learning, 2023
Identification of key factors affecting the self-directed learning process in the virtual environment of medical education is vital. In this article, we designed a model that describes the self-directed learning process in the virtual learning environment for post graduate students of medical sciences in Iran. This study was carried out in two…
Descriptors: Models, Independent Study, Virtual Classrooms, Medicine
Integrating Artificial Intelligence to Support Students' Independent Learning in Flipped Law Courses
Mikko Hyttinen; Ville Isomöttönen – International Journal of Technology in Education, 2025
This qualitative study investigates the integration of Artificial Intelligence (AI) to support students' independent learning within a flipped classroom (FC) pedagogy. The main challenge of FC has been students' insufficient preparation for classroom activities. To address the challenge the Essentials of Business Law course was implemented with FC…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Independent Study
Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
Chazin, Kate T.; Ledford, Jennifer R. – Journal of Behavioral Education, 2021
Prompting procedures are effective for teaching skills, but limited comparative data exist to guide practitioners to select the best procedures for individuals. This study compared efficiency of two prompting procedures--constant time delay (CTD) and system of least prompts (SLP)--to teach expressive identification of 32 targets to 10 preschoolers…
Descriptors: Prompting, Teaching Methods, Time Factors (Learning), Preschool Children
Wan, Pengfei; Wang, Xiaoming; Lin, Yaguang; Pang, Guangyao – IEEE Transactions on Learning Technologies, 2021
Learners' autonomous learning is at the heart of modern education, and the convenient network brings new opportunities for it. We notice that learners mainly use the combination of online and offline learning methods to complete the entire autonomous learning process, but most of the existing models cannot effectively describe the complex process…
Descriptors: Independent Study, Personal Autonomy, Learning Processes, Electronic Learning
Nikolaos, Nikitidis – Education Quarterly Reviews, 2020
It is commonplace that the knowledge gained after some time needs enrichment and actualization. Educational actions that are addressed to adults are essential. The first meeting in adult education is crucial for the educational process. It must, therefore, be planned carefully. The aim of this study is to find the elements that make the first…
Descriptors: Adult Education, Adult Programs, Learning Processes, Efficiency
Shen, Huajie; Liu, Teng; Zhang, Yueqin – International Journal of Distance Education Technologies, 2020
This study aims to create learning path navigation for target learners by discovering the correlation among micro-learning units. In this study, the learning path is defined as a sequence of learning units used to realize a learning goal, and a period used for realizing the learning goal is regarded as a learning cycle. Furthermore, the learning…
Descriptors: Correlation, Distance Education, Efficiency, Bayesian Statistics
Doyer, Ilse; Bean, Wilna L.; du Plessis, André – Bulgarian Comparative Education Society, 2023
This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…
Descriptors: Time on Task, Teaching Methods, Learning Processes, Time Management

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