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Peer reviewed
Direct linkLilibeth Pinili; Porferio Almerino; Janine Joy Tenerife; Samantha Shane Evangelista; Jana Gloria Almerino; Joerabell Lourdes Aro; Vivian Arnaiz; Kaitlin Marie Opingo; Jocelyn Deniega; Helen Revalde; Margie Fulgencio; Honorio Añora; Ann Frances Cabigon; Niña Rozanne Delos Reyes; Fatima Maturan; Nadine May Atibing; Lanndon Ocampo – Open Education Studies, 2024
This study determines the critical success factors of teaching mathematics to special education (SPED) students wherein a list of success factors is identified through a literature survey and analyzes the causal relationships among the identified factors to evaluate the key success factors using the integration of the grey system theory and…
Descriptors: Special Education, Mathematics Education, Mathematics Instruction, Instructional Effectiveness
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Download full textAhmet Kara – Anatolian Journal of Education, 2024
The general purpose of this research is to test the applicability of the career construction model with the structural equation model in explaining the relationships between adaptive readiness (personality traits and hope), adaptability resources (career adaptability) and adapting responses (career decision-making self-efficacy). This research was…
Descriptors: Foreign Countries, Young Adults, Career Change, Career Development
Pablo Saiz-González; Damián Iglesias; Javier Fernandez-Rio – Quest, 2024
The Self-Determination Theory argues that individuals are optimally motivated when their three Basic Psychological Needs (BPNs) are satisfied, which can be influenced by the learning environment created by the teachers. Student-centered frameworks are permeating worldwide. Thus, the study aimed to evaluate the effects of pedagogical models-based…
Descriptors: Teaching Methods, Physical Education, Psychological Patterns, Student Centered Learning
Roni Herdianto; Punaji Setyosari; Dedi Kuswandi; Aji Prasetya Wibawa – Electronic Journal of e-Learning, 2024
Doctoral students require scientific writing skills and appropriate learning media assistance to meet publication requirements in distinguished journals. This investigation evaluates the efficacy of Moodle and OJS in teaching dissertation proposals, based on the experiences of engineering doctoral students, to provide suggestions for the optimal…
Descriptors: Academic Language, Writing Instruction, Doctoral Students, Doctoral Dissertations
Emily K. Toutkoushian; Kihyun Ryoo – Measurement: Interdisciplinary Research and Perspectives, 2024
The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…
Descriptors: Middle School Students, Academic Standards, Science Education, Learner Engagement
Álvaro Nolla; Ángela Ibiricu; Angélica Benito – International Journal for Technology in Mathematics Education, 2024
In this paper we present a collaborative 3D modeling and printing experience within a Project Based Learning (PBL) activity, carried out with two different groups of participants: pre-service teachers at the Universidad Autónoma de Madrid (Spain), and school students of Primary and Secondary level taking part in an extra-curricular activity.…
Descriptors: Cooperative Learning, Printing, Computer Peripherals, Educational Technology
Qiu Zhong – ProQuest LLC, 2024
Research has shown that teachers and students have difficulties in connecting climate change evidence with climate change claims. Such difficulties may come from the lack of knowledge about how scientific models and modeling work in climate science. Climate change as a complex system with a large time and land scale requires sophisticated…
Descriptors: Secondary School Teachers, Science Teachers, Science Instruction, Climate
Cassandra Guarino; Anna Bargagliotti; Tom Smith; Hana Kang; Yiwang Li – Annenberg Institute for School Reform at Brown University, 2024
This study addresses the important yet underexplored question of whether the Common Core State Standards in Mathematics, which emphasize critical thinking and problem-solving, as well as the computer-based assessments aligned with the Common Core, have facilitated or hindered learning for students with disabilities. By analyzing administrative…
Descriptors: Common Core State Standards, Mathematics Achievement, Mathematics Instruction, Elementary School Students
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Hao Wu; Shan Li; Ying Gao; Jinta Weng; Guozhu Ding – Education and Information Technologies, 2024
Natural language processing (NLP) has captivated the attention of educational researchers over the past three decades. In this study, a total of 2,480 studies were retrieved through a comprehensive literature search. We used neural topic modeling and pre-trained language modeling to explore the research topics pertaining to the application of NLP…
Descriptors: Natural Language Processing, Educational Research, Research Design, Educational Trends
Jacob Whitehill; Jennifer LoCasale-Crouch – Journal of Educational Data Mining, 2024
With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…
Descriptors: Artificial Intelligence, Teacher Evaluation, Models, Transcripts (Written Records)
Zahra Kemiche – Routledge Research in Education, 2024
This timely volume sets out the author's novel concept of the Organic model of internationalisation, developed using participants' perceptions, lived experiences, and recommendations for a better sustainable future of HE, and explores its broader application in the context of higher education. Using the qualitative IPA (Interpretative…
Descriptors: International Education, Marketing, Higher Education, Phenomenology
Rachel L. Schechter; Maddie Lee Mason; Laura Janakiefski – Online Submission, 2024
The ongoing literacy crisis in the U.S. highlights an urgent need for effective, scalable literacy instruction. REED Charitable Foundation (RCF) is a non-profit organization that provides structured literacy training informed by Orton-Gillingham, along with ongoing professional coaching and comprehensive implementation support to help all students…
Descriptors: Literacy Education, Reading Instruction, Reading Achievement, Achievement Gains
Fangxing Bai; Ben Kelcey – Society for Research on Educational Effectiveness, 2024
Purpose and Background: Despite the flexibility of multilevel structural equation modeling (MLSEM), a practical limitation many researchers encounter is how to effectively estimate model parameters with typical sample sizes when there are many levels of (potentially disparate) nesting. We develop a method-of-moment corrected maximum likelihood…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Sample Size, Faculty Development
