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Sijia Huang; Li Cai – Journal of Educational and Behavioral Statistics, 2024
The cross-classified data structure is ubiquitous in education, psychology, and health outcome sciences. In these areas, assessment instruments that are made up of multiple items are frequently used to measure latent constructs. The presence of both the cross-classified structure and multivariate categorical outcomes leads to the so-called…
Descriptors: Classification, Data Collection, Data Analysis, Item Response Theory
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Yang Sun; Rui Wang; Bo Feng – International Journal of Information and Communication Technology Education, 2024
With the rapid development of internet technology, the importance of data in various industries has become increasingly prominent. However, in the field of domestic education, especially the research on teaching quality evaluation is relatively sparse. This paper aims to build an evaluation model of physical education teaching quality with big…
Descriptors: Physical Education, Physical Education Teachers, Teacher Effectiveness, Educational Quality
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Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
Vladimir Kogan; Brandon Genetin; Joyce Chen; Alan Kalish – Annenberg Institute for School Reform at Brown University, 2022
Student surveys are widely used to evaluate university teaching and increasingly adopted at the K-12 level, although there remains considerable debate about what they measure. Much disagreement focuses on the well-documented correlation between student grades and their evaluations of instructors. Using individual-level data from 19,000 evaluations…
Descriptors: Student Satisfaction, Grading, Student Evaluation of Teacher Performance, Correlation
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Jiménez, Haydée G.; Casanova, Marco A.; Finamore, Anna Carolina; Simões, Gonçalo – International Educational Data Mining Society, 2021
Sentiment Analysis is a field of Natural Language Processing which aims at classifying the author's sentiment in text. This paper first describes a sentiment analysis model for students' comments about professor performance. The model achieved impressive results for comments collected from student surveys conducted at a private university in…
Descriptors: Natural Language Processing, Data Analysis, Classification, Student Surveys
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Okoye, Kingsley; Arrona-Palacios, Arturo; Camacho-Zuñiga, Claudia; Hammout, Nisrine; Nakamura, Emilia Luttmann; Escamilla, Jose; Hosseini, Samira – International Journal of Educational Technology in Higher Education, 2020
Today, modern educational models are concerned with the development of the teacher-student experience and the potential opportunities it presents. User-centric analyses are useful both in terms of the socio-technical perspective on data usage within the educational domain and the positive impact that data-driven methods have. Moreover, the use of…
Descriptors: Data Collection, Data Analysis, Student Attitudes, Student Evaluation of Teacher Performance
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Gaertner, Holger; Brunner, Martin – Educational Assessment, Evaluation and Accountability, 2018
In many countries, students are asked about their perceptions of teaching in order to make decisions about the further development of teaching practices on the basis of this feedback. The stability of this measurement of teaching quality is a prerequisite for the ability to generalize the results to other teaching situations. The present study…
Descriptors: Student Attitudes, Educational Attitudes, Teacher Effectiveness, Student Evaluation of Teacher Performance
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Rosen, Andrew S. – Assessment & Evaluation in Higher Education, 2018
Student evaluations of teaching are widely adopted across academic institutions, but there are many underlying trends and biases that can influence their interpretation. Publicly accessible web-based student evaluations of teaching are of particular relevance, due to their widespread use by students in the course selection process and the quantity…
Descriptors: Student Evaluation of Teacher Performance, Correlation, Educational Trends, Bias
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Jiang, Fei; Lin, Shan; Mariano, Jenni Menon – Journal of Education for Teaching: International Research and Pedagogy, 2016
Research studies agree on the role formal education can play in facilitating students building a sense of life purpose. This paper examined the influence of Chinese college students' perceived competence of their teachers for supporting purpose on these same college students' purpose status. Portions of the Revised Youth Purpose Survey were…
Descriptors: College Faculty, College Students, Foreign Countries, Self Concept
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Jian, Yuheng Helen; Javaad, Sohail Syed; Golab, Lukasz – Informatics in Education, 2016
In this paper, we take a new look at the problem of analyzing course evaluations. We examine ten years of undergraduate course evaluations from a large Engineering faculty. To the best of our knowledge, our data set is an order of magnitude larger than those used by previous work on this topic, at over 250,000 student evaluations of over 5,000…
Descriptors: Course Evaluation, Undergraduate Students, Engineering Education, Data Collection
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Mortenson, Kristian G.; Sathe, Richard S. – Accounting Education, 2017
This paper documents a case study undertaken to understand the effect of group processes on student evaluation of teaching (SET). The study used interviews to investigate the experiences of students in a cohort model Master of Science in Accountancy degree program and how those experiences influenced SET. The cohort served as an extreme example in…
Descriptors: Accounting, Business Administration Education, Graduate Students, Masters Programs
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Brabeck, Mary M.; Dwyer, Carol Anne; Geisinger, Kurt F.; Marx, Ronald W.; Noell, George H.; Pianta, Robert C.; Subotnik, Rena F.; Worrell, Frank C. – Theory Into Practice, 2016
Teacher preparation programs have both a desire and a responsibility to demonstrate, with affirmative evidence, that teacher education makes a difference in PreK-12 student learning. Program faculty need good data to make decisions about the progress of students, whom to recommend for state licensure, and how to improve teacher education. This…
Descriptors: Teacher Education Programs, Program Evaluation, Program Effectiveness, Standardized Tests
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Owoh, Titus M. – Journal of Education and Practice, 2016
This study sought to find out the relationship between students perception of their teacher effectiveness and academic achievement in Basic Technology. Teacher's personality, teaching techniques/classroom management strategy and appearance, all integrate to make for teacher effectiveness. To carry out this research, two research questions and one…
Descriptors: Teacher Effectiveness, Correlation, Academic Achievement, Technology Education
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Palmer, Stuart – Quality in Higher Education, 2012
Student evaluation of teaching is commonplace in many universities and may be the predominant input into the performance evaluation of staff and organisational units. This article used publicly available student evaluation of teaching data to present examples of where institutional responses to evaluation processes appeared to be educationally…
Descriptors: Teacher Effectiveness, Evaluation Methods, Student Evaluation of Teacher Performance, Evaluation Problems
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
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