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Dong Zhang; Yan Luo – Physical Educator, 2024
This study aimed to formulate a course classification process for identifying and classifying courses in the curriculum for physical education teacher education (PETE). The study recruited five experts in physical education (PE), PETE, and pedagogy. The participants were professors at a college in the Northeastern United States. The five…
Descriptors: Physical Education Teachers, Preservice Teacher Education, Teacher Education Programs, College Faculty
National Forum on Education Statistics, 2023
This forum guide was developed to meet the need for common, widely understood, standardized course codes. The purpose of this guide is to introduce the voluntary School Courses for the Exchange of Data (SCED) classification system, including information on the structure of SCED codes, the process for ensuring that SCED remains up to date and…
Descriptors: Courses, Classification, Coding, Data
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Johannes König; Sandra Heine; Charlotte Kramer; Jonas Weyers; Michael Becker-Mrotzek; Jörg Großschedl; Charlotte Hanisch; Petra Hanke; Thomas Hennemann; Jörg Jost; Kai Kaspar; Benjamin Rott; Sarah Strauß – Journal of Curriculum Studies, 2024
Numerous reviews have synthesized the empirical research on the effectiveness of teacher education, highlighting teacher education effectiveness research (TEER) as an emerging research paradigm. Our systematic search identified 27 reviews related to TEER, wherein teacher education is broadly understood as comprising all stages of teacher…
Descriptors: Teacher Education Programs, Program Effectiveness, Educational Research, Faculty Development
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Hadj Kacem, Yessine; Alshehri, Safa; Qaid, Talal – Journal of Information Technology Education: Innovations in Practice, 2022
Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based…
Descriptors: Outcomes of Education, Artificial Intelligence, Educational Assessment, Classification
National Forum on Education Statistics, 2021
The purpose of this document is to provide timely and useful best practice information to help education agencies understand the different uses and benefits of School Courses for the Exchange of Data (SCED). This guide was developed to provide a brief overview of SCED, highlight the research application and benefits of SCED to users, and…
Descriptors: Courses, Elementary Secondary Education, Classification, Course Content
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Holly R. Turner; David S. Jackson; Max Sender; Trina E. Orimoto; Lesley A. Slavin; Charles W. Mueller – Administration and Policy in Mental Health and Mental Health Services Research, 2022
This study utilized latent profile analysis to categorize youth served by a public mental health setting into homogenous classes. Then, associations between class membership and meeting clinical criteria by the latest assessment were examined. Caregiver responses to the Ohio Scales, Short Form, Problem Severity Scale for 1090 youth completed at…
Descriptors: Mental Health, Mental Disorders, Health Services, Program Effectiveness
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Burton, Jared Z.; Warne, Russell T. – Teaching of Psychology, 2020
Intelligence is a well-studied construct in psychology that has correlational relationships with many educational, employment, and health outcomes. However, prior research indicates that incorrect beliefs about intelligence are widespread. In an effort to discern the degree to which the psychology curriculum is responsible for these inaccuracies,…
Descriptors: Intelligence, Psychology, Curriculum, Colleges
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Christopher Dann; Petrea Redmond; Melissa Fanshawe; Alice Brown; Seyum Getenet; Thanveer Shaik; Xiaohui Tao; Linda Galligan; Yan Li – Australasian Journal of Educational Technology, 2024
Making sense of student feedback and engagement is important for informing pedagogical decision-making and broader strategies related to student retention and success in higher education courses. Although learning analytics and other strategies are employed within courses to understand student engagement, the interpretation of data for larger data…
Descriptors: Artificial Intelligence, Learner Engagement, Feedback (Response), Decision Making
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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
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Gulzar, Zameer; Leema, A. Anny – International Journal of Web-Based Learning and Teaching Technologies, 2018
This article describes how with a non-formal education, a scholar has to choose courses among various domains to meet the research aims. In spite of this, the availability of large number of courses, makes the process of selecting the appropriate course a tedious, time-consuming, and risky decision, and the course selection will directly affect…
Descriptors: Electronic Learning, Information Retrieval, Classification, Computer Science Education
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Blackmon, Stephanie J.; Major, Claire H. – Online Learning, 2017
Although MOOCs are a much-discussed topic in higher education, conversations about MOOCs do not often include details regarding the nuanced nature of these courses. What do people mean when they use the term MOOC? In the current work, we delve into the variations of MOOCs, and we put a typology we previously created into practice. Our goal with…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Longford, Nicholas Tibor – Journal of Educational and Behavioral Statistics, 2016
We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decision-theoretical framework, incorporating the consequences (ramifications) of the various kinds of error that…
Descriptors: Decision Making, Classification, Guidelines, Undergraduate Students
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Eldemir, Abdurrahim Can – Educational Research and Reviews, 2016
The purpose of this study is to determine the perceptions of prospective music teachers towards Traditional Turkish Art Music course by means of metaphors. Phenomenological design, one of qualitative study methods, was used in the study. The study group of our research consists of juniors and seniors studying in the Music Education Division,…
Descriptors: Foreign Countries, Music Teachers, Classical Music, Music Education
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Christie, Christina A.; Quiñones, Patricia; Fierro, Leslie – American Journal of Evaluation, 2014
This classification study examines evaluators' coursework training as a way of understanding evaluation practice. Data regarding courses that span methods and evaluation topics were collected from evaluation practitioners. Using latent class analysis, we establish four distinct classes of evaluator course-taking patterns: quantitative,…
Descriptors: Evaluators, Professional Education, Classification, Courses
Yi, Kwan; Turner, Ralph – Journal of Education for Library and Information Science, 2014
The current landscape of the School Librarianship educational programs and curricula of master's degrees in the USA has been explored. The master's programs are currently offered in the following four venues: (1) programs that are American Library Association (ALA) accredited but not American Association of School Librarians (AASL) recognized,…
Descriptors: School Libraries, Library Education, College Curriculum, Masters Programs
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