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Alayont, Feryal; Karaali, Gizem; Pehlivan, Lerna – PRIMUS, 2023
In calculus courses, instructors often use the end-of-section problems in a textbook in homework assignments or other course assessments. As a result, these problems influence the teaching and learning of calculus. In this study, we examine the levels of cognitive demand of these problems in a mainstream calculus textbook and classify them within…
Descriptors: Textbooks, Textbook Evaluation, Calculus, Mathematics Instruction
Qiuye Li; Shaorui Xu; Yushan Xiong; Wei He; Shaona Zhou – Physical Review Physics Education Research, 2023
A significant proportion of universities throughout the world switched from conventional face-to-face course delivery to emergency remote teaching (ERT) in response to the pervasive COVID-19 outbreak. A series of challenges are faced by both teachers and students as a result of the rapid and abrupt switch to ERT. Within the context of ERT, physics…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
Katie Lai – College & Research Libraries, 2023
To explore whether artificial intelligence can be used to enhance library services, this study used ChatGPT to answer reference questions. An assessment rubric was used to evaluate how well ChatGPT handled different question types and difficulty levels. Overall ChatGPT's performance was fair, but it did poorly in information accuracy. It scored…
Descriptors: Artificial Intelligence, Technology Uses in Education, Library Services, Reference Services
Jones, Brett D.; Ellis, Margaret; Gu, Fei; Fenerci, Hande – International Journal of STEM Education, 2023
Background: The motivational climate within a course has been shown to be an important predictor of students' engagement and course ratings. Because little is known about how students' perceptions of the motivational climate in a computer science (CS) course vary by sex, race/ethnicity, and academic major, we investigated these questions: (1) To…
Descriptors: Student Motivation, Computer Science Education, Gender Differences, Racial Differences
Leveraging Simulation to Understand Nursing Student Learning in Technologically Complex Environments
Deborah Rojas – ProQuest LLC, 2023
Introduction: The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has…
Descriptors: Computer Simulation, Simulated Environment, Nursing Education, Simulation
Audrey A. Hillyer – ProQuest LLC, 2023
High Impact Practices are defined as teaching and learning strategies designed to benefit college students through challenging yet confidence-building coursework, and through establishing connections to faculty, peers, and community, among other positive impacts. The ten High Impact Practices recognized by the American Association of Colleges and…
Descriptors: Community Colleges, College Faculty, Learning Strategies, Teaching Methods
Beckett, Elizabeth A. H.; Gaganis, Voula; Bakker, Anthony J.; Towstoless, Michelle; Hayes, Alan; Hryciw, Deanne H.; Lexis, Louise; Tangalakis, Kathy – Advances in Physiology Education, 2023
Australia-wide consensus was reached on seven core concepts of physiology, which included homeostasis, a fundamental concept for students to understand as they develop their basic knowledge of physiological regulatory mechanisms. The term homeostasis is most commonly used to describe how the internal environment of mammalian systems maintains…
Descriptors: Physiology, Science Instruction, Scientific Concepts, Concept Formation
Chenchen Liu; Jierui Hou; Yun-Fang Tu; Youmei Wang; Gwo-Jen Hwang – Interactive Learning Environments, 2023
Automated writing feedback supported by artificial intelligence (AI) techniques has attracted the attention of English as Foreign Language (EFL) researchers. However, there is insufficient evidence and inconsistent conclusions on the actual impacts of AI on students' writing skills. In addition, in the field of EFL writing, there are few studies…
Descriptors: Artificial Intelligence, Reflection, English (Second Language), Writing Instruction
Mu-Hsuan Chou – Educational Psychology, 2023
Approaches to learning a second/foreign language can be affected by such individual differences as personality traits, motivational variables, and task difficulty. Personality traits have been proven to influence academic achievement, but their effects on motivation and language learning approaches remain unanswered. The first purpose of the study…
Descriptors: Academic Persistence, Personality Traits, Resilience (Psychology), Task Analysis
Espinal, Alejandro; Vieira, Camilo; Guerrero-Bequis, Valeria – Computer Science Education, 2023
Background and context: Transfer is a process where students apply their learning to different contexts. This process includes using their knowledge to solve problems with similar complexity, and in new contexts. In the context of programming, transfer also includes being able to understand and use different programming languages. Objective: This…
Descriptors: Block Scheduling, Computer Science Education, Programming Languages, Coding
Rafatbakhsh, Elaheh; Ahmadi, Alireza – Asian-Pacific Journal of Second and Foreign Language Education, 2023
Estimating the difficulty of reading tests is critical in second language education and assessment. This study was aimed at examining various text features that might influence the difficulty level of a high-stakes reading comprehension test and predict test takers' scores. To this end, the responses provided by 17,900 test takers on the reading…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Reading Comprehension
Noah Hirschl; Christian Michael Smith – Sociology of Education, 2023
Racialized tracking is central to sociological explanations for racially stratified educational outcomes. However, school officials' decision-making is of debated importance for explaining racialized tracking. We contribute to this literature by examining the effects of schools' enrollment policies for Advanced Placement (AP) courses. Using a…
Descriptors: Advanced Placement, Track System (Education), Racism, Enrollment
C. M. Rathnayaka; J. Ganapathi; S. Kickbusch; L. Dawes; R. Brown – European Journal of Engineering Education, 2024
Laboratory learning forms a significant and integral part of engineering education, wherein students develop technical, collaborative, enquiry, and observation skills that go beyond theoretical studies. Engineering is inherently a practice-based profession, and consequently, laboratory work has been inseparable for engineering curricula. However,…
Descriptors: Educational Resources, Laboratories, Electronic Learning, Engineering Education
MacKenzie D. Sidwell; Landon W. Bonner; Kayla Bates-Brantley; Shengtian Wu – Intervention in School and Clinic, 2024
Oral reading fluency probes are essential for reading assessment, intervention, and progress monitoring. Due to the limited options for choosing oral reading fluency probes, it is important to utilize all available resources such as generative artificial intelligence (AI) like ChatGPT to create oral reading fluency probes. The purpose of this…
Descriptors: Artificial Intelligence, Natural Language Processing, Technology Uses in Education, Oral Reading
Kristabel Stark; Bonnie Billingsley – Journal of Cases in Educational Leadership, 2024
This case study delves into the complexities faced by Principal Williams, a newly appointed leader at Hudford Elementary School, as she navigates the challenges of providing high-quality education for students with disabilities in an elementary school. Under the Individuals with Disabilities Education Act (IDEA), each student with a disability is…
Descriptors: School Administration, Students with Disabilities, Difficulty Level, Elementary Schools

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