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Genady Grabarnik; Luiza Kim-Tyan; Serge Yaskolko – International Association for Development of the Information Society, 2022
Any advanced class in Science, Technology, Engineering, and Mathematics fields requires prerequisite knowledge. Typically, different students will have different levels of knowledge in these prerequisite areas. A prerequisite (Linear Algebra for Machine Learning course) was implemented as an interactive online course using Jupyter Notebooks and…
Descriptors: STEM Education, Knowledge Level, Artificial Intelligence, Algebra
Kimberly Joy Rushing – ProQuest LLC, 2022
Continued professional learning and development of school leaders is a way to improve schools and promote positive organizational change (Andreoli et al., 2020; Kim, 2020; Rieckhoff & Larsen, 2012) as well as and a way to support sustainability in a profession with high rates of turnover (Levin et al., 2020). Although principals and…
Descriptors: Principals, Assistant Principals, Administrator Attitudes, Professional Development
Kylea Frei – ProQuest LLC, 2022
Evidence-based practice (EBP) requires professionals to be guided by the best available evidence. When a child is diagnosed with autism spectrum disorder (ASD), caregivers are faced with the task of choosing the best treatment for their child. Caregivers turn to a number of different sources to find information about available treatments not all…
Descriptors: Autism Spectrum Disorders, Best Practices, Evidence Based Practice, Caregiver Role
Sierra Eisen; Jessica Taggart; Angeline S. Lillard – Grantee Submission, 2022
Children's storybooks often contain fantasy elements, from dragons and wizards to anthropomorphic animals that wear clothes, talk, and behave like humans. These elements can impact children's learning from storybooks both positively and negatively, perhaps due in part to their ability to capture children's interest and attention. Prior research…
Descriptors: Childrens Literature, Young Children, Preferences, Animals
Samantha E. Goldman; Maria P. Mello – Remedial and Special Education, 2025
Family-school engagement is integral to the success of students with autism. However, limited research has examined the conceptualization of family-school engagement from the perspective of parents of children with autism. With this in mind, we conducted focus groups with 22 parents of school-age children (ages 3-21) with autism from a…
Descriptors: Parent School Relationship, Family Involvement, Partnerships in Education, Students with Disabilities
Rachel L. Veenstra Cott – Natural Sciences Education, 2025
Flexible, accessible course delivery modalities with enhanced virtual components are a common component of post-pandemic university-level goals and policies across the United States. From the Spring 2023 to Spring 2024 academic semesters, curriculum overhaul facilitated a more flexible modality structure in the introductory-level Crop Science…
Descriptors: Videoconferencing, Synchronous Communication, Online Courses, Preferences
Morris Gellisch; Juliane Cramer; Justin Trenkel; Franziska Bäker; Martin Bablok; Gabriela Morosan-Puopolo; Thorsten Schäfer; Beate Brand-Saberi – Anatomical Sciences Education, 2025
In recent years, there has been a growing trend toward the digitization of education, highlighting the need to understand how different learning modalities impact medical student outcomes. This study analyzes user behavior among medical students in Microscopic Anatomy, focusing on preferences for digital versus face-to-face guided self-study. A…
Descriptors: Educational Technology, Technology Uses in Education, Anatomy, In Person Learning
Mingmei Qu – European Journal of Education, 2025
This study investigates the interplay between EFL students' needs, proficiency levels, learning styles and AI-powered adaptive learning platforms in fostering academic engagement. A positive and significant relationship was observed, demonstrating that AI-powered platforms effectively cater to EFL students' individual needs, proficiency levels and…
Descriptors: Second Language Learning, English (Second Language), Technology Uses in Education, Artificial Intelligence
Nik Aida Mastura Nik Abdul Majid; Kamisah Osman; Tan Siok Yee – Journal of Education and Learning (EduLearn), 2025
Addressing diverse learning needs in energy education is vital for fostering environmental awareness and sustainability. This study aims to identify students' learning preferences, the challenges teachers encounter when teaching energy-related topics, and the most effective pedagogical strategies to address these challenges. Using a mixed-methods…
Descriptors: Student Diversity, Student Needs, Barriers, Energy
Mikael Börjesson; André Bryntesson; Ashley Haru – Globalisation, Societies and Education, 2025
Based on a survey of Swedish participants in the Erasmus+ exchange programme from the 2014 and 2015 application years, our study uses specific Multiple Correspondence Analysis to explore students' valuations of their study destinations across different scales -- country, city, and institution. Our findings indicate that places were valued based on…
Descriptors: Foreign Countries, Foreign Students, Student Exchange Programs, School Choice
Nadine Dörffer; Nicole Tieben – Empirical Research in Vocational Education and Training, 2025
In the wake of educational reforms starting in the 1970s, a variety of alternative pathways to higher education was institutionalised in Germany. Research usually finds that students from vocational pathways are less inclined to enter higher education, but largely ignores the diversity of vocational upper secondary schools and the variety of…
Descriptors: Foreign Countries, Career and Technical Education, Secondary School Students, Institutional Characteristics
Nagaletchimee Annamalai; Darwalis Sazan – Educational Process: International Journal, 2025
Background/purpose: This study examines integrating the VARK learning style model into Learning Management Systems (LMS) to create more personalized learning experiences. The VARK model classifies the learners as Visual, Auditory, Reading, Writing, or Kinesthetic, enabling tailored instructional strategies. Materials/methods: By employing an…
Descriptors: Student Attitudes, Preferences, Cognitive Style, Learning Strategies
Russo, James; Hopkins, Sarah – Mathematics Education Research Group of Australasia, 2023
Despite curriculum expectations, many students, including a disproportionate number of girls, do not 'just know' (retrieve) single-digit addition facts by Year 3. The current study employed structured interviews to explore which strategies Year 3/4 students (n = 166) used when solving more difficult addition combinations. Results revealed that…
Descriptors: Gender Differences, Problem Solving, Mathematics Instruction, Learning Strategies
Jacob, Brian A.; Ricks, Michael D. – National Bureau of Economic Research, 2023
This paper presents the first evidence of how students make career technical education (CTE) course-taking decisions. Among the universe of Michigan high-schoolers we find large disparities in CTE access and participation by gender, race, and income. We decompose participation gaps between supply (access) and demand (preferences) with a simple…
Descriptors: Vocational Education, Preferences, Student Attitudes, Decision Making
Spruance, Lori A.; Vo, Tien – Journal of School Health, 2023
Background: School meals have demonstrated positive effects on dietary habits of children and adolescents, yet opportunities to increase participation exist. Little is known about how participation differs by race/ethnicity or by acculturation levels, thus this study aims to identify acculturation and race/ethnicity on school meal participation of…
Descriptors: Middle School Students, Lunch Programs, Breakfast Programs, Eating Habits

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