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Ionin, Tania – Second Language Research, 2021
This commentary discusses the recent keynote article in "Second Language Research" by Westergaard (2021), which extends the Micro-cue Model to second language (L2) and third language (L3) acquisition. The commentary comments on such questions as: What makes a given property easy or hard to acquire? How do learners determine similarity?…
Descriptors: Second Language Learning, Multilingualism, Native Language, Linguistic Theory
Jescovitch, Lauren N.; Scott, Emily E.; Cerchiara, Jack A.; Merrill, John; Urban-Lurain, Mark; Doherty, Jennifer H.; Haudek, Kevin C. – Journal of Science Education and Technology, 2021
We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…
Descriptors: Science Instruction, Coding, Artificial Intelligence, Man Machine Systems
Villatoro Moral, Sofía; de Benito, Barbara – Journal of New Approaches in Educational Research, 2021
Present-day society calls for new student-centred didactic methodologies that make the student an active participant in their learning process. Strategies aimed at training citizens and professionals must adapt and respond to a society that is constantly changing. In this context, self-regulated learning and educational co-design emerge as key…
Descriptors: Technology Uses in Education, Student Centered Learning, Self Management, Learning Processes
Gurcan, Fatih; Ozyurt, Ozcan; Cagiltay, Nergiz Ercil – International Review of Research in Open and Distributed Learning, 2021
E-learning studies are becoming very important today as they provide alternatives and support to all types of teaching and learning programs. The effect of the COVID-19 pandemic on educational systems has further increased the significance of e-learning. Accordingly, gaining a full understanding of the general topics and trends in e-learning…
Descriptors: Educational Trends, Electronic Learning, Models, Learning Analytics
Thongdee, Vitthaya; Promkun, Suraphon; Sawatta, Sutipong; Namseethan, Somkuan; Ruangsan, Niraj – Online Submission, 2021
The objectives of this research are: 1) to study the state of the Buddhist learning process of the Department of Social Studies, Religion and Culture (DSRC); 2) to create a model for Buddhist learning activities (MBLA) for DSRC; 3) to evaluate the results of MBLA operation. This study was carried out by means of the mixed method research. The…
Descriptors: Buddhism, Social Studies, Learning Activities, Learning Processes
Švábenský, Valdemar; Baker, Ryan S.; Zambrano, Andrés; Zou, Yishan; Slater, Stefan – International Educational Data Mining Society, 2023
Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…
Descriptors: Generalization, Computer Mediated Communication, MOOCs, State Universities
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
Watkins, Karen E.; Marsick, Victoria J.; Wofford, M. Grant; Ellinger, Andrea D. – New Directions for Adult and Continuing Education, 2018
Examples of informal and incidental learning, including an extended discussion of informal learning in flight instruction, are used to illustrate the model of informal and incidental learning in practice, as well as the nonlinear nature of this learning.
Descriptors: Informal Education, Incidental Learning, Flight Training, Models
Prayogi, Saiful; Yuanita, Leny; Wasis – Journal of Turkish Science Education, 2018
Teaching critical thinking (CT) to prospective teachers has been a concern for a long time, and prospective teacher training becomes an appropriate period for interventions that promote CT ability. Therefore, it is necessary to develop a model of learning that accommodates aspects of prior knowledge, motivation, and CT. This study aims to develop…
Descriptors: Preservice Teachers, Physics, Critical Thinking, Thinking Skills
Cechinel, Cristian; Ochoa, Xavier; Lemos dos Santos, Henrique; Carvalho Nunes, João Batista; Rodés, Virginia; Marques Queiroga, Emanuel – British Journal of Educational Technology, 2020
The growth of Learning Analytics (LA) as a research field has been extensively documented since its beginnings. This paper provides a broad overview of the publications that Latin American authors have published in the last years by performing a quantitative review of the literature (from 2011 to 2019). A total of 282 papers were collected and…
Descriptors: Data Analysis, Authors, Foreign Countries, Ethics
Xin, Weihao; Jia, Chanjuan; Liu, Chunling; Wang, Jingying; Chen, Amber La Rayne – International Journal of Inclusive Education, 2020
In this study, 227 pre-service teachers majoring in special education at two normal universities in eastern China were studied using a questionnaire survey. The survey sought to understand pre-service teachers' beliefs about students and teachers' role in special education, using a metaphor approach. The results are as follows: First, in terms of…
Descriptors: Preservice Teachers, Beliefs, Teacher Role, Special Education
Arifin, Zainal; Nurtanto, Muhammad; Priatna, Asep; Kholifah, Nur; Fawaid, Moh – Online Submission, 2020
Nowadays, the ICT is an important part of the 21st century and teacher learning and industry 4.0 challenges must involve technology in their teaching and learning. Previous research on the involvement of technology in the learning process is generally known as TPACK, Technology -- Pedagogy -- Content -- Knowledge. However, the specific objectives…
Descriptors: Andragogy, Pedagogical Content Knowledge, Teaching Methods, Technological Literacy
Rekha, K. N.; Ganesh, M. P. – International Journal of Training and Development, 2019
The primary objective of the present study is to understand mentoring relationships in Indian organizations from the mentors' perspective. In particular, the study examines whether the learning goal orientation of a mentor can significantly influence the mentoring process and outcomes for the mentor in a mentoring relationship. Two hundred and…
Descriptors: Mentors, Indians, Organizations (Groups), Goal Orientation
LaDue, N. D.; McNeal, P. M.; Ryker, K.; St. John, K.; van der Hoeven Kraft, K. J. – Journal of Geoscience Education, 2022
Active learning research emerged from the undergraduate STEM education communities of practice, some of whom identify as discipline-based education researchers (DBER). Consequently, current frameworks of active learning are largely inductive and based on emergent patterns observed in undergraduate teaching and learning. Alternatively, classic…
Descriptors: Active Learning, Teaching Methods, Learning Processes, Undergraduate Students
Desoete, Annemie; Baten, Elke – International Electronic Journal of Elementary Education, 2022
Several factors seem important to understand the nature of mathematical learning. Byrnes and Miller combined these factors into the Opportunity-Propensity model. In this study the model was used to predict the number-processing factor and the arithmetic fluency in grade 4 (n = 195) and grade 5 (n = 213). Gender, intelligence and affect (positive…
Descriptors: Mathematics Education, Elementary School Mathematics, Elementary School Students, Grade 4

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