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Wenli Chen; Si Zhang; Zhongling Pi; Jesmine S. H. Tan; Yun Wen; Chee-Kit Looi; Jennifer Yeo; Qingtang Liu – Technology, Pedagogy and Education, 2024
This study investigates the role of a collaboration script, the Funnel Model, in supporting students' computer-supported collaborative scientific argumentation, and how the students appropriated the collaboration script in scientific argumentation. In this exploratory case study, a class of 33 Secondary grade four students went through four phases…
Descriptors: Cooperative Learning, Scripts, Computer Assisted Instruction, Persuasive Discourse
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Ellen Wilkinson; Cristan Farmer; Evan Kleiman; Vanessa H. Bal – Autism: The International Journal of Research and Practice, 2024
The commonly used Vineland Adaptive Behavior Scales (VABS-3) divides adaptive behavior into three domains comprising three subdomains. The validity of this three-factor structure has not been explored in autistic samples, which are often heterogeneous with respect to language and IQ. Furthermore, although there are two comparable forms,…
Descriptors: Autism Spectrum Disorders, Factor Structure, Severity (of Disability), Models
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Ujjwal Biswas; Samit Bhattacharya – Education and Information Technologies, 2024
The application of machine learning (ML) has grown and is now used to enhance learning outcomes. In blended classroom settings, ML, emerging smartphones and wearable technologies are commonly used to improve teaching and learning. The combination of these advanced technologies and ML plays a crucial role in enhancing real-time feedback quality.…
Descriptors: Artificial Intelligence, Blended Learning, Flipped Classroom, Technology Uses in Education
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Guozhu Ding; Xiangyi Shi; Shan Li – Education and Information Technologies, 2024
In this study, we developed a classification system of programming errors based on the historical data of 680,540 programming records collected on the Online Judge platform. The classification system described six types of programming errors (i.e., syntax, logical, type, writing, misunderstanding, and runtime errors) and their connections with…
Descriptors: Programming, Computer Science Education, Classification, Graphs
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Rosa M. Banda; Alonzo Flowers – Journal of Latinos and Education, 2024
The influential role of familía remains a crucial aspect to understand Latinxs' success in postsecondary schooling. Rather than relying on a deficit lens, this study employs an asset-based lens to gain insight into the paternal influence that assists Latinas' persistence to degree attainment in engineering. More specifically, this study examines…
Descriptors: Fathers, Parent Influence, Daughters, Academic Persistence
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Inma Álvarez; Mara Fuertes Gutiérrez; Matilde Gallardo Barbarroja – Innovation in Language Learning and Teaching, 2024
This paper aims at understanding the extent to which languages are taught collaboratively in higher education (HE), which team teaching (TT) models have been implemented, and what lessons were learnt from the experiences. Following the Arksey and O'Malley framework [2005. "Scoping Studies: Towards a Methodological Framework."…
Descriptors: Team Teaching, Second Language Learning, Second Language Instruction, Faculty Development
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Claire Sutherland – Race, Ethnicity and Education, 2024
In March 2022 the United Kingdom (UK) government published "Inclusive Britain: the government's response to the Commission on Race and Ethnic Disparities." This accepts the 'bad apple' understanding of racism but is incurious as to the historical context and existing power relations shaping racist attitudes, thereby creating a tension…
Descriptors: Foreign Countries, European History, History Instruction, Race
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Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
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Corey Schimpf; Brian Castellani – International Journal of Social Research Methodology, 2024
Advances in the integration of smart technology with interdisciplinary methods has created a new genre, approachable modeling and smart methods -- AM-Smart for short. AM-Smart platforms address a major challenge for applied and public sector analysts, educators and those trained in traditional methods: accessing the latest advances in…
Descriptors: Technology Integration, Technology Uses in Education, Computer Oriented Programs, Artificial Intelligence
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Annie M. Wofford – Mentoring & Tutoring: Partnership in Learning, 2024
Mentoring relationships are among the most crucial forms of developmental support for students in higher education. While mentorship has been widely studied, researchers' conceptualizations and frameworks of mentoring relationships have scarcely been updated with notions of equity-mindedness to meet the needs of today's increasingly diverse…
Descriptors: Mentors, Doctoral Students, STEM Education, Undergraduate Students
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Joel Barnes – Paedagogica Historica: International Journal of the History of Education, 2024
This article examines the place of evolutionary science in protestant and Catholic residential colleges associated with Australian public universities across the twentieth and early twenty-first centuries. Although faith-based universities are a relatively recent phenomenon in Australia, a quasi-federal model of secular teaching and accrediting…
Descriptors: Evolution, Science Education, Foreign Countries, Religious Colleges
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Nuria Climent; Luis Carlos Contreras; Miguel Montes; Miguel Ribeiro – ZDM: Mathematics Education, 2024
This paper studies the knowledge developed by a group of sixty-two pre-service primary teachers during a training session on the definition of a polygon and the mathematical practice of defining. We explore the knowledge developed by pre-service teachers when they carry out a series of training tasks oriented around the practice of defining with…
Descriptors: Models, Task Analysis, Teaching Methods, Mathematics Instruction
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Huilin Chen; Huan Mei – European Journal of Psychology of Education, 2024
Based on theories on vocabulary knowledge, grammar knowledge, and reading comprehension subcomponents, ten attributes/subskills were defined for 50 items from relevant subtests of TEM4 (Band Four of Test for English Majors in China). Cognitive diagnosis was conducted on the TEM4 data of the randomly sampled 2285 examinees (roughly at the B2 level)…
Descriptors: Reading Comprehension, Language Tests, Linguistic Input, Vocabulary Skills
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Melike Yigit Koyunkaya; Ayse Tekin Dede – Education and Information Technologies, 2024
While existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital tools into mathematical modelling are not still answered. This study aims to examine pre-service mathematics teachers' designing and solving mathematical modelling problems by using different digital…
Descriptors: Mathematics Instruction, Problem Solving, Video Technology, Preservice Teachers
Averi Pakulis; Nadia Gronkowski – First Focus on Children, 2024
Home visiting connects expectant parents, new caregivers, and their young children with a support person, called a home visitor. The home visitor meets regularly with the family, develops a relationship with them, and supports them to achieve their goals and meet their needs. To reach the thousands of additional families who could benefit from…
Descriptors: Community Programs, Home Programs, Models, Language Usage
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