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Jullie Jeanette Sondakh; Joy Elly Tulung – Journal of Education and e-Learning Research, 2024
This study aims to predict accounting students' inclination toward a career in accounting in Indonesia by integrating the Social Cognitive Career Theory (SCCT) and the Theory of Reasoned Action (TRA). The research relies on primary data obtained through an online, closed-ended questionnaire. We employ Structural Equation Modeling (SEM) for the…
Descriptors: Prediction, Intention, Student Attitudes, Career Choice
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Erck, Ryan W.; Sriram, Rishi – Journal of College and University Student Housing, 2022
Interactions across campus have long been documented as an important component of understanding the college student experience. This is especially salient in relation to interactions with faculty and peers during a student's first year, when susceptibility for departure is high. However, it is likewise critical to understand how distinctive types…
Descriptors: Undergraduate Students, Living Learning Centers, Correlation, Models
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Nurudeen, Mohammed; Abdul-Samad, Siddique; Owusu-Oware, Emmanuel; Koi-Akrofi, Godfred Yaw; Tanye, Hannah Ayaba – Education and Information Technologies, 2023
With the advent of smartphones and fourth generation mobile technologies, the effect of social media on society has stirred up some debate and researchers across various disciplines have drawn different conclusions. Social media provides university students with a convenient platform to create and share educational content. However, social media…
Descriptors: Social Media, Grade Point Average, Academic Achievement, Prediction
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Al-Azawei, Ahmed; Abdullah, Alharith A.; Mohammed, Mahmood K.; Abod, Zaid A. – International Review of Research in Open and Distributed Learning, 2023
Although online learning has become ubiquitous worldwide, earlier research has neglected the relationship between its actual use and security concerns. Learners' lack of security awareness while using learning technologies remains rarely studied. This paper integrates Delone and McLean's information system success (D&M-ISS) model with the…
Descriptors: Foreign Countries, Online Courses, Electronic Learning, Success
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Ouyang, Fan; Wu, Mian; Zheng, Luyi; Zhang, Liyin; Jiao, Pengcheng – International Journal of Educational Technology in Higher Education, 2023
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…
Descriptors: Technology Integration, Artificial Intelligence, Performance, Prediction
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Polak, Julia; Cook, Dianne – Journal of Statistics and Data Science Education, 2021
Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…
Descriptors: Artificial Intelligence, Data Analysis, Models, Competition
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Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
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Fergusson, Anna; Pfannkuch, Maxine – Statistics Education Research Journal, 2022
Tasks for teaching predictive modelling and APIs often require learners to use code-driven tools. Minimal research, however, exists about the design of tasks that support the introduction of high school students and teachers to these new statistical and computational methods. Using a design-based research approach, a web-based task was developed.…
Descriptors: High School Teachers, Statistics Education, Prediction, Mathematical Models
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Yang, Jinzhong; Wang, Qiyun; Wang, Jingying; Huang, Muxiong; Ma, Yongjun – Interactive Learning Environments, 2021
E-Schoolbag is an integrated platform presented on the portable digital devices for educational purposes. Successful and sustainable integration of e-Schoolbag into the classroom often demands teachers to be equipped with essential knowledge, skills, and willingness to employ it on a voluntary basis. The purpose of this study was to examine if…
Descriptors: Elementary School Teachers, Secondary School Teachers, Pedagogical Content Knowledge, Technological Literacy
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Conrad, Charles James Harding, II – THAITESOL Journal, 2020
Developing a sufficient level of writing proficiency takes time. It is also a complex skill difficult to measure. The history of writing assessments reveals changing views of construct validity, reliability and interpretation of results. This study used a binary logistic regression model with seven years of grades 3 to 12 annual direct writing…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Writing (Composition)
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Sokmen, Yavuz; Kilic, Durmus – International Journal of Research in Education and Science, 2019
In this study, it was aimed explore the relationship between primary school teachers' sense of self-efficacy, autonomy, job satisfaction, teacher engagement, and burnout variables. The study was conducted using a quantitative research design and a correlational model. The data were collected at three different levels. In the first level, during…
Descriptors: Correlation, Elementary School Teachers, Job Satisfaction, Teacher Burnout
Tavarez DaCosta, Pedro; Herrera Gutierrez, Yerni – Online Submission, 2020
Universidad Tecnológica de Santiago (UTESA) is a university considered as one of the highest ranking universities in the Dominican Republic, it is one of the few to be recognized by the Ministry of Higher Education, Science and Technology as an autonomous university for its constant research and updating. This university offers to college students…
Descriptors: Foreign Countries, Reading Comprehension, English (Second Language), Second Language Learning
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Carpenter, Darrell; Young, Diana K.; McLeod, Alexander; Maasberg, Michele – Journal of Information Systems Education, 2018
The IT industry struggles to attract qualified talent despite an exceptional outlook in terms of both job availability and compensation. Similarly, post-secondary academic institutions report difficulties recruiting students for IT majors. One potential reason for this is that current career counseling practices do not adequately convey relevant…
Descriptors: Information Technology, Career Counseling, Prediction, Models
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Dounas-Frazer, Dimitri R.; Ríos, Laura; Pollard, Benjamin; Stanley, Jacob T.; Lewandowski, H. J. – Physical Review Physics Education Research, 2018
The ability to develop, use, and refine models of experimental systems is a nationally recognized learning outcome for undergraduate physics lab courses. However, no assessments of students' model-based reasoning exist for upper-division labs. This study is the first step toward development of modeling assessments for optics and electronics labs.…
Descriptors: Science Instruction, College Science, Science Laboratories, Optics
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Marchand, Gwen C.; Gutierrez, Antonio P. – Journal of Experimental Education, 2017
The purpose of this study was to investigate the relations among perceived instructional support (provision of relevance and involvement), subjective task value beliefs (utility, attainment, and intrinsic value), and engagement (behavioral and emotional) over the course of a semester for graduate students enrolled in an introductory research…
Descriptors: Graduate Students, Learner Engagement, Student Attitudes, Beliefs
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