NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 301 to 315 of 4,200 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Xiao, Bowen; Bullock, Amanda; Liu, Junsheng; Coplan, Robert – Journal of Early Adolescence, 2021
In this study, we explored the longitudinal linkages among Chinese early adolescents' unsociability, peer rejection, and loneliness. Participants were N = 445 primary school students in Shanghai, P.R. China followed over 3 years from Grades 6 and 7 to Grades 8 and 9. Measures of adolescents' unsociability, peer rejection, and loneliness were…
Descriptors: Peer Acceptance, Rejection (Psychology), Psychological Patterns, Early Adolescents
Peer reviewed Peer reviewed
Direct linkDirect link
Huffman, Tanner J.; Mentzer, Nathan – International Journal of Technology and Design Education, 2021
Modeling allows students to become more effective designers. High school technology and engineering students engage in engineering design challenges as part of traditional instructional practices. Model-eliciting activities (MEA) present students with opportunities to elicit mathematical thinking that facilitates modeling. Students (n = 266) from…
Descriptors: Design, High School Students, Comparative Analysis, Scoring Rubrics
Peer reviewed Peer reviewed
Direct linkDirect link
Katz, Sandra; Albacete, Patricia; Chounta, Irene-Angelica; Jordan, Pamela; McLaren, Bruce M.; Zapata-Rivera, Diego – International Journal of Artificial Intelligence in Education, 2021
Jim Greer and his colleagues argued that student modelling is essential to provide adaptive instruction in tutoring systems and showed that effective modelling is possible, despite being enormously challenging. Student modelling plays a prominent role in many intelligent tutoring systems (ITSs) that address problem-solving domains. However,…
Descriptors: Physics, Science Instruction, Pretests Posttests, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Nahar, Khaledun; Shova, Boishakhe Islam; Ria, Tahmina; Rashid, Humayara Binte; Islam, A. H. M. Saiful – Education and Information Technologies, 2021
Information is everywhere in a hidden and scattered way. It becomes useful when we apply Data mining to extracts the hidden, meaningful, and potentially useful patterns from these vast data resources. Educational data mining ensures a quality education by analyzing educational data based on various aspects. In this paper, we have analyzed the…
Descriptors: Learning Analytics, College Students, Engineering Education, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Delgado-Sanchez, J. M.; Lillo-Bravo, I. – European Journal of Engineering Education, 2021
The design of solar power plants and the operating principles are learned by engineering students during the last academic year. Typically, this subject is taught using the traditional methodology based on lectures where students are not considered as an active player of the class. The aim of this experience was to implement innovative…
Descriptors: Problem Solving, Energy, Teaching Methods, Engineering Education
Peer reviewed Peer reviewed
Direct linkDirect link
Eaton, Philip; Johnson, Keith; Barrett, Frank; Willoughby, Shannon – Physical Review Physics Education Research, 2019
For proper assessment selection understanding the statistical similarities amongst assessments that measure the same, or very similar, topics is imperative. This study seeks to extend the comparative analysis between the brief electricity and magnetism assessment (BEMA) and the conceptual survey of electricity and magnetism (CSEM) presented by…
Descriptors: Test Theory, Item Response Theory, Comparative Analysis, Energy
Wang, Chun; Nydick, Steven W. – Grantee Submission, 2019
Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve (LGC) model (e.g., McArdle, 1988) and extended the assessment of growth to multidimensional IRT models (e.g., Hsieh, von Eye, & Maier, 2010; Huang, 2013) and higher-order IRT models…
Descriptors: Longitudinal Studies, Item Response Theory, Comparative Analysis, Models
McGill, Corey Ian – ProQuest LLC, 2019
Despite the importance of rehearsal to most models of verbal working memory, its role has been recently called into question. Much prior work in support of rehearsal models has centered on the experimental effects of word-length, phonological-similarity, and irrelevant sound on serial order recall performance and the interaction of all three with…
Descriptors: Verbal Ability, Short Term Memory, Drills (Practice), Phonology
Peer reviewed Peer reviewed
Direct linkDirect link
Hartvigson, Lars; Heshmati, Almas – Scandinavian Journal of Educational Research, 2023
This study compares an ideal model of a sustainable research institution and the dominating model used by Sida. It uses a complementary capacity building (CCB) model aimed to promote an improved research culture for strengthening the sustainability of research partnerships in economics and management disciplines. This study uses bibliometric data…
Descriptors: Sustainability, International Cooperation, Educational Development, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
Henderson, Alice J.; Skarnitzl, Radek – Language Learning & Technology, 2022
This paper presents the results of a brief mixed-methods intervention which sought to modify the production of prominence-related features in L2 English by four native French-speaking university lecturers, in read-aloud speech. Selected parts of participants' productions were acoustically modified and then used as the model in a Listen-and-Repeat…
Descriptors: Acoustics, Models, Native Language, French
Peer reviewed Peer reviewed
Direct linkDirect link
Cooper, A. C.; Southard, K. M.; Osness, J. B.; Bolger, M. S. – CBE - Life Sciences Education, 2022
Limited access to undergraduate research experiences for science, technology, engineering, and mathematics students has led to creation of classroom-based opportunities for students to participate in authentic science. Revising laboratory courses to engage students in the practices of science has been shown to have many benefits for students.…
Descriptors: Teacher Role, Intention, Science Instruction, Undergraduate Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Torres, Leonor L. – Education Sciences, 2022
Various changes in the spheres of education policy and school management over recent decades have sparked a renewed interest in the issue of school culture and its potential to understand processes of leadership and academic performance. What are the contributions and potentialities of organizational culture for understanding school organizations…
Descriptors: Organizational Culture, Instructional Leadership, Educational Change, Educational Policy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Hast, Michael – Science Education, 2016
Within the discussion of the development of commonsense theories of motion, recent research has established that throughout middle childhood, reasoning about motion down inclines changes with increasing age. To investigate this shift in more detail, this study investigated 5- to 11-year-old children's understanding of motion down curved slopes,…
Descriptors: Children, Motion, Comparative Analysis, Models
Pages: 1  |  ...  |  17  |  18  |  19  |  20  |  21  |  22  |  23  |  24  |  25  |  ...  |  280