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Keller, Brian T. – Grantee Submission, 2021
In this paper, we provide an introduction to the factored regression framework. This modeling framework applies the rules of probability to break up or "factor" a complex joint distribution into a product of conditional regression models. Using this framework, we can easily specify the complex multivariate models that missing data…
Descriptors: Regression (Statistics), Models, Multivariate Analysis, Computation
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Siu-Cheung Kong; Wei Shen – Interactive Learning Environments, 2024
Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…
Descriptors: Student Characteristics, Predictor Variables, Comprehension, Computation
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Sood, Sakshi; Saini, Munish – Education and Information Technologies, 2021
For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…
Descriptors: Multivariate Analysis, Artificial Intelligence, Academic Achievement, Prediction
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Chung, Cheng-Yu; Hsiao, I-Han – International Educational Data Mining Society, 2021
The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…
Descriptors: Models, Drills (Practice), Pacing, Computer Uses in Education
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Larbi-Apau, Josephine; Oti-Boadi, Mabel; Tetteh, Albert – International Journal on E-Learning, 2018
Both computer attitude and eLearning self-efficacy are critical complementary factors in determining confidence levels and behavioral belief systems, and can directly affect students' actions, performances and achievements. This study applied a multidimensional construct in validating computer attitude and eLearning self-efficacy of Psychology…
Descriptors: Computer Attitudes, Electronic Learning, Self Efficacy, Undergraduate Students
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Enskat, Aaron; Hunt, Stephen K.; Hooker, John F. – Technology, Pedagogy and Education, 2017
This study examined Millennial student perceptions of use of social networking, specifically Facebook, by instructors. Two independent variables were examined: instructor age (Baby Boomer or Millennial) and use of Facebook (utilising a course group site through the service versus not using the service at all). Results revealed that Baby Boomer…
Descriptors: Social Media, Mass Media Use, Computer Uses in Education, Generational Differences
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Eickelmann, Birgit; Vennemann, Mario – European Educational Research Journal, 2017
In the debate on the integration of information and communication technologies (ICT) into schools, the beliefs and attitudes of teachers towards ICT in teaching and learning have always been regarded as central criteria for successful implementation of new technologies. In this context, a study in 2013 by the International Association for the…
Descriptors: Teacher Attitudes, Beliefs, Information Technology, Technology Integration
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Chang, Yu-Che; Lee, Ching-Hsing; Chen, Chien-Kuang; Liao, Chien-Hung; Ng, Chip-Jin; Chen, Jih-Chang; Chaou, Chung-Hsien – Advances in Health Sciences Education, 2017
The mini-clinical evaluation exercise (mini-CEX) is a well-established method of assessing trainees' clinical competence in the workplace. In order to improve the quality of clinical learning, factors that influence the provision of feedback are worthy of further investigation. A retrospective data analysis of documented feedback provided by…
Descriptors: Clinical Experience, Graduate Students, Medical Students, Feedback (Response)
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Samah, Azimah A.; Hussin, Zaharah; Putih, Abu Talib – Malaysian Online Journal of Educational Technology, 2016
Connoisseurship evaluation is a form of evaluation and educational inquiry having qualitative characteristics. In this study, these skills are seen among Malaysian art teachers in secondary schools. Quality assessment depends on the evaluator who has the ability of some aspects. Among these are qualitative nuances experiences as well as ability to…
Descriptors: Foreign Countries, Secondary School Teachers, Art Teachers, Painting (Visual Arts)
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Sorensen-Unruh, Clarissa – Journal of Chemical Education, 2017
This Communication summarizes one of the invited papers to the Select 2016 BCCE Presentations ACS CHED Committee on Computers in Chemical Education online ConfChem held from October 30 to November 22, 2016. The ConfChem paper (included within Supporting Information) focuses on the results of one instructor's incorporation of social media into her…
Descriptors: Chemistry, Computer Uses in Education, Conferences (Gatherings), Teaching Methods
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Gil, Einat; Gibbs, Alison L. – Statistics Education Research Journal, 2017
In this study, we follow students' modeling and covariational reasoning in the context of learning about big data. A three-week unit was designed to allow 12th grade students in a mathematics course to explore big and mid-size data using concepts such as trend and scatter to describe the relationships between variables in multivariate settings.…
Descriptors: Foreign Countries, Secondary School Students, Grade 12, Statistics
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Damnik, Gregor; Proske, Antje; Körndle, Hermann – Interactive Learning Environments, 2017
When teachers or instructors create computer-based learning environments, they often solely consider technical aspects of interactivity. As a consequence, learners' main role is to respond to requests of the learning environment (e.g. by answering multiple-choice questions). This aspect of interactivity is, however, not sufficient to understand…
Descriptors: Learning Activities, Constructivism (Learning), Interaction, Perspective Taking
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Padmavathi, M. – Journal on School Educational Technology, 2016
This study attempts to analyze student-teachers' attitude towards the use of computers for classroom teaching. Four dimensions of computer attitude on a Likert-type five-point scale were used: Affect (liking), Perceived usefulness, Perceived Control, and Behaviour Intention to use computers. The effect of student-teachers' subject area, years of…
Descriptors: Student Teachers, Student Teacher Attitudes, Computer Uses in Education, Intention
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Nguyen, ThuyUyen H.; Charity, Ian; Robson, Andrew – Studies in Higher Education, 2016
This study investigates students' perceptions of computer-based learning environments, their attitude towards business statistics, and their academic achievement in higher education. Guided by learning environments concepts and attitudinal theory, a theoretical model was proposed with two instruments, one for measuring the learning environment and…
Descriptors: Foreign Countries, Higher Education, Student Attitudes, Academic Achievement
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Ebadi, Saman; Rahimi, Masoud – Computer Assisted Language Learning, 2017
This article reports the results of a sequential explanatory mixed-methods approach to explore the impact of online peer-editing using Google Docs and peer-editing in a face-to-face classroom on EFL learners' academic writing skills. As the study adopted a quasi-experimental design, two intact classes, each with ten EFL learners, attending an…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Writing Skills
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