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Li, Shan; Zheng, Juan – Asia-Pacific Education Researcher, 2018
The one-to-one computing environment provides students adaptive and individualized learning experiences, which has the great potential to enhance their learning performances, but it also requires students to actively motivate themselves to self-regulate their learning processes. This study examined the relationships between self-efficacy, task…
Descriptors: Self Efficacy, Grade 7, Learning Experience, Learning Processes
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Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – Interactive Technology and Smart Education, 2018
Purpose: This empirical study aims to demonstrate how the combination of trace data derived from technology-enhanced learning environments and self-response survey data can contribute to the investigation of self-regulated learning processes. Design/methodology/approach: Using a showcase based on 1,027 students' learning in a blended introductory…
Descriptors: Time Factors (Learning), Learning Processes, Blended Learning, College Freshmen
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Papi, Mostafa – Studies in Second Language Acquisition, 2018
The study examined the predictions of regulatory fit theory (Higgins, 2000) in relation to task-based incidental vocabulary learning. A total of 189 English as a second language learners completed a vocabulary pretest, a regulatory focus questionnaire, an integrated reading/writing task, and finally an unannounced vocabulary posttest. The…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Incidental Learning
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C. Florou; G. Stamoulis; A. Xenakis; A. Plageras – Education and Information Technologies, 2025
This study focuses on students' self-assessment during their learning process related to computer programming concepts, taking into account challenges and obstacles both teachers and students face, with the aim to contribute to the development of guiding principles and practices and enhance the teaching process of computer programming in primary…
Descriptors: Teacher Role, Self Evaluation (Individuals), Computer Science Education, Programming
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María del Mar López-Martín; María Burgos Navarro; Verónica Albanese – Statistics Education Research Journal, 2025
To ensure the learning of mathematics, teachers must be able to analyse their students' mathematical practices when solving tasks, interpret the difficulties that students encounter, and decide how to manage students' difficulties. This competence in didactic analysis and intervention allows teachers to adapt their teaching to meet individual…
Descriptors: Statistics Education, Mathematics Instruction, Student Needs, Preservice Teachers
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Jenny L. Richmond; Kate Nicholls – Teaching of Psychology, 2025
Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…
Descriptors: Artificial Intelligence, Scoring Rubrics, Computer Software, Learning Processes
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Janne Olavi Väätäjä – European Journal of Teacher Education, 2025
This case study aims to identify which characteristics that define the concept of Community of Practice (CoP) can be recognised at the primary school teacher education practicum and how stakeholders perceive digital pedagogy in the context of practices for co-development. The case study took place in a primary school teacher education practicum at…
Descriptors: Mentors, Communities of Practice, Elementary School Teachers, Teaching Methods
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Yu Song; Longchao Huang; Lanqin Zheng; Mengya Fan; Zehao Liu – International Journal of Educational Technology in Higher Education, 2025
This study explores the effectiveness of chatbots empowered by generative artificial intelligence (GAI) in assisting university students' creative problem-solving (CPS). We used quasi-experiments to compare the performance of dialogue dynamics, learner perceptions, and practical competencies in CPS during students' interactions with: (1) a GAI…
Descriptors: Artificial Intelligence, Graduate Students, Student Behavior, Creativity
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Katherine Halcrow – Qualitative Research Journal, 2025
Purpose: This paper describes oral language as a multi-faceted and unconstrained phenomenon, including its social purpose in societies and the implications of this for education. It provides a critique of the concepts of oral language which have come to dominate literacy and language education policy across the Organisation of Economic…
Descriptors: Oral Language, Literacy Education, Educational Policy, Criticism
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Sonal Devesh; Abhishek Nanjundaswamy – Journal of Applied Research in Higher Education, 2025
Purpose: To determine the factors influencing the perception of undergraduate students toward research--teaching nexus and also to examine its impact on the attitude of the students. Design/methodology/approach: The study used a quantitative design to examine the perceptions of students in higher education institutions in India. Descriptive and…
Descriptors: Undergraduate Students, Student Attitudes, Indians, Colleges
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Xin Guo – Accounting Education, 2025
The purpose of this paper is to conduct a cross-cultural assessment of the Community of Inquiry (CoI) instrument [Arbaugh, J. B., Cleveland-Innes, M., Diaz, S. R., Garrison, D. R., Ice, P., Richardson, J. C., & Swan, K. P. (2008). Developing a community of inquiry instrument: Testing a measure of the community of inquiry framework using a…
Descriptors: Cross Cultural Studies, Communities of Practice, Accounting, Business Education
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Elisabeth Bauer; Samuel Greiff; Arthur C. Graesser; Katharina Scheiter; Michael Sailer – Educational Psychology Review, 2025
Artificial intelligence (AI) holds significant potential for enhancing student learning. This reflection critically examines the promises and limitations of AI for cognitive learning processes and outcomes, drawing on empirical evidence and theoretical insights from research on AI-enhanced education and digital learning technologies. We critically…
Descriptors: Artificial Intelligence, Technology Uses in Education, Influence of Technology, Learning Processes
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Yuting Liu; Peng Peng; Xueye Yan – Grantee Submission, 2025
In this meta-analysis of 54 longitudinal studies with over 58,000 students in kindergarten through 12th grade, we examined the predictive nature of early numeracy measured at or before the first year of formal schooling in relation to later mathematics. Results showed that early numeracy significantly predicted mathematics measured after 6 months…
Descriptors: Numeracy, Mathematics Skills, Mathematics Education, Predictor Variables
Kirk Anderson; Kennedy Quaigraine; Justice Agyei-Quartey; Samuel Ofori Boakye; Dinah Ntow-Gyan; Helen Apuko – Online Submission, 2025
This study investigates the complex interplay of individual and household factors, class attendance, and academic performance within Ghana's Complementary Basic Education Program (CBEP). It aims to understand how these factors influence learner performance, particularly given persistent rural-urban learning disparities and limited empirical…
Descriptors: Foreign Countries, Academic Achievement, Attendance, Predictor Variables
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Stephen J. Ball; Jordi Collet-Sabé – Palgrave Macmillan, 2025
This book invites the reader to think education against, beyond and without the school and its paraphernalia. To think about 'education', rather than schooling, and what kind of education is relevant to and needed now in the complex, difficult and dangerous world we live in. That invitation means testing our limits, questioning and changing…
Descriptors: Nontraditional Education, Relevance (Education), Outcomes of Education, Individual Development
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