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Kevin Ng – Education Economics, 2025
This study evaluates techniques to identify high-quality teachers. Since tenure restricts dismissals of experienced teachers, schools must predict productivity and dismiss those expected to perform ineffectively prior to tenure receipt. Many states rely on evaluation scores to guide these personnel decisions without considering other dimensions of…
Descriptors: Identification, Teacher Effectiveness, Teacher Selection, Teacher Evaluation
Jonathan Ross – ProQuest LLC, 2021
This qualitative case study explored the perceptions of hiring administrators in a suburban Pennsylvania school district regarding the influence of the Danielson Framework for Teaching (DFT) on the district teacher hiring practices. At the time of this study, research had shown that, out of all other factors, teachers had the largest influence on…
Descriptors: Administrator Attitudes, Teacher Selection, School Districts, Suburban Schools
Yuan Liu; Yongquan Dong; Chan Yin; Cheng Chen; Rui Jia – Education and Information Technologies, 2024
The open online course (MOOC) platform has seen an increase in usage, and there are a growing number of courses accessible for people to select. An effective method is urgently needed to recommend personalized courses for users. Although the existing course recommendation models consider that users' interests change over time, they often model…
Descriptors: MOOCs, Online Courses, Models, Course Selection (Students)
Tenko Raykov; Christine DiStefano; Lisa Calvocoressi – Educational and Psychological Measurement, 2024
This note demonstrates that the widely used Bayesian Information Criterion (BIC) need not be generally viewed as a routinely dependable index for model selection when the bifactor and second-order factor models are examined as rival means for data description and explanation. To this end, we use an empirically relevant setting with…
Descriptors: Bayesian Statistics, Models, Decision Making, Comparative Analysis
Zankadi, Hajar; Idrissi, Abdellah; Daoudi, Najima; Hilal, Imane – Education and Information Technologies, 2023
Interests play an essential role in the process of learning, thereby enriching learners 'interests will yield to an enhanced experience in MOOCs. Learners interact freely and spontaneously on social media through different forms of user-generated content which contain hidden information that reveals their real interests and preferences. In this…
Descriptors: Students, Social Media, Content Analysis, Interests
Ren, Shuo – ProQuest LLC, 2019
There has been an increase in the use of virtual reality (VR) technology in the education community since VR is emerging as a potent educational tool that offers students with a rich source of educational material and makes learning exciting and interactive. With a rise of popularity and market expansion in VR technology in the past few years, a…
Descriptors: Educational Technology, Science Laboratories, Computer Simulation, Active Learning
Jonathan Glazzard; Adam Tate – Policy Futures in Education, 2025
Recent policy developments in England, particularly since 2021, have resulted in increased regulation and marketisation of Initial Teacher Training (ITT)/Initial Teacher Education (ITE). Although the origins of these developments go back much further than 2021, the current context in which ITE operates in England is, arguably, both challenging and…
Descriptors: Preservice Teacher Education, Higher Education, Universities, Models
Fleming, Gabriella Coloyan; Hunt, Grayson; Watson, Del; Mastronardi, Marialice; You, Sally; Contreras, Lydia; Borrego, Maura; Smith, Mark J. T. – Journal of STEM Education: Innovations and Research, 2023
This paper reports on a new model for faculty hiring workshops involving three components. The first part (Part 1) of the work is an asynchronous, self-guided course that includes video reflections and commentaries from some of our own colleagues about inclusive excellence, hiring legalities, and departmental culture. The second part (Part 2) is a…
Descriptors: Teacher Selection, Teacher Workshops, Models, Asynchronous Communication
Daza, Sebastian; Kreuger, L. Kurt – Sociological Methods & Research, 2021
Although agent-based models (ABMs) have been increasingly accepted in social sciences as a valid tool to formalize theory, propose mechanisms able to recreate regularities, and guide empirical research, we are not aware of any research using ABMs to assess the robustness of our statistical methods. We argue that ABMs can be extremely helpful to…
Descriptors: Statistical Analysis, Models, Selection, Social Influences
Doo, Min Young – Education and Information Technologies, 2023
Universities are increasingly incorporating flipped learning as an effective instructional approach. Given the popularity of flipped learning, numerous studies have examined the psychological aspects of students and learning achievement in flipped learning classes. However, little research has examined the social influence processes of students in…
Descriptors: Undergraduate Students, Flipped Classroom, Models, Social Influences
Bonifay, Wes – Grantee Submission, 2022
Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these…
Descriptors: Statistical Analysis, Models, Goodness of Fit, Evaluation Methods
Lee O. Silverman – ProQuest LLC, 2022
Higher education faculty who teach online can face numerous challenges in providing optimal experiences for their students. Besides their potentially limited instructional design expertise and understanding of how to optimize technology to support learning, faculty may have difficulties in finding ways to make themselves be perceived as real…
Descriptors: Online Courses, Media Selection, College Faculty, Best Practices
Ashraf, Erum; Manickam, Selvakumar; Karuppayah, Shankar; Malik, Sufiana Khatoon – Journal of Educators Online, 2023
As the drive to move from traditional face-to-face classroom learning to e-learning is ever in demand, the knowledge corpus exposed to students can be overwhelming because there is a need to automate certain functions of the e-learning framework. One of these functions is the course recommendation feature. Course recommendations help students save…
Descriptors: Electronic Learning, Cognitive Style, Student Behavior, Course Selection (Students)
Hugo Cayo; Myriam Codes; Luis C. Contreras – International Journal of Mathematical Education in Science and Technology, 2024
This paper explores the specialized knowledge mobilized by a mathematics teacher in the selection and use of examples for teaching sequences. Taking an experimental case study approach, we analyse the examples deployed in a series of third-year secondary level lessons on sequences and identify the different knowledge subdomains activated according…
Descriptors: Mathematics Teachers, Mathematics Instruction, Secondary School Mathematics, Pedagogical Content Knowledge
Lisa Chu; Lydia Rainey; Steven Weiner – Center on Reinventing Public Education, 2024
Innovative staffing models are promising, but challenging to scale up. What does the work of leading strategic staffing involve, and what could make scaling up easier? This report digs deep into the many challenges system leaders face when scaling up innovative staffing solutions. These leaders are trying to address longstanding teacher shortages…
Descriptors: Models, Scaling, Personnel Selection, Trust (Psychology)

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