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Ting Ding; Mengqi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
The level of information technology is increasing, and technology is developed. University English teaching has also changed under its influence. Different from the traditional teaching in the past, more and more students adopt the mode of "Internet + Smartphone" to learn English. This paper proposes a teaching mode evaluation method in…
Descriptors: English for Special Purposes, Educational Change, Business Administration Education, Data
Helen Boylan; Alison L. DuBois; Brian Petrus – Journal of STEM Education: Innovations and Research, 2025
In recent years, employers have expressed concerns that Science, Technology, Engineering, and Mathematics (STEM) graduates, though proficient in their academic disciplines, lack the critical skills necessary for success in the workplace (Karimi & Pina, 2021). Additionally, many non-STEM majors do not develop the basic STEM competencies that…
Descriptors: Student Projects, Active Learning, Teamwork, Undergraduate Students
Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Baldwin, Sally J.; Trespalacios, Jesús – Online Learning, 2017
Chickering and Gamson's (1987) "Seven Principles for Good Practice in Undergraduate Education" offers extensively researched and validated tenets for best practices in higher education. After a review of the literature, twenty-eight evaluation instruments currently used to design and review online courses in higher education institutions…
Descriptors: Online Courses, Best Practices, Evaluation Methods, Undergraduate Study
Xian, Sidong; Xia, Haibo; Yin, Yubo; Zhai, Zhansheng; Shang, Yan – Cogent Education, 2016
Teaching quality is the lifeline of the higher education. Many universities have made some effective achievement about evaluating the teaching quality. In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. Additionally, we classify the SET…
Descriptors: Discriminant Analysis, Factor Analysis, Student Evaluation of Teacher Performance, Instructional Effectiveness
Ravinder, Handanhal; Misra, Ram B. – American Journal of Business Education, 2014
ABC analysis is a well-established categorization technique based on the Pareto Principle for determining which items should get priority in the management of a company's inventory. In discussing this topic, today's operations management and supply chain textbooks focus on dollar volume as the sole criterion for performing the categorization. The…
Descriptors: Facility Inventory, Evaluation Methods, Classification, Administration
Rentroia-Bonito, Maria Alexandra; Gonçalves, Daniel; Jorge, Joaquim A. – International Journal of Mobile and Blended Learning, 2015
Technological advances during the last decade have provided huge possibilities to support e-learning. However, there are still concerns regarding Return-on-Investment (ROI) of e-learning, its sustainability within organizational boundaries and effectiveness across potential learner groups. Much previous research has concentrated on learners'…
Descriptors: Blended Learning, Learning Motivation, Cluster Grouping, Courseware
Choi, Ick Kyu – ProQuest LLC, 2013
At the University of California, Los Angeles, the Test of Oral Proficiency (TOP), an internally developed oral proficiency test, is administered to international teaching assistant (ITA) candidates to ensure an appropriate level of academic oral English proficiency. Test taker performances are rated live by two raters according to four subscales.…
Descriptors: Screening Tests, Profiles, Oral Language, English