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Krasodomska, Joanna; Godawska, Justyna – Accounting Education, 2021
In this study, we examined the relationship between university students' engagement in a blended learning course and their performance. We also explored the roles which gender and nationality may play in the learning process. Our sample consisted of 335 students of International Accounting course. We used 23,796 student access computer logs as a…
Descriptors: Accounting, Electronic Learning, Correlation, Blended Learning
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de Carvalho, Walisson Ferreira; Zárate, Luis Enrique – International Journal of Information and Learning Technology, 2021
Purpose: The paper aims to present a new two stage local causal learning algorithm -- HEISA. In the first stage, the algorithm discoveries the subset of features that better explains a target variable. During the second stage, computes the causal effect, using partial correlation, of each feature of the selected subset. Using this new algorithm,…
Descriptors: Causal Models, Algorithms, Learning Analytics, Correlation
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Karnik, Ajit; Kishore, Pallavi; Meraj, Mohammad – Research in Comparative and International Education, 2020
The relationship between class attendance and academic performance has been an important area of research, with a positive association being posited between the two. The setting for our study is an International Branch Campus (IBC) of a British university that needs to demonstrate the quality of its service delivery both to the parent institution…
Descriptors: Correlation, Attendance, Academic Achievement, International Cooperation
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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
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Legacy, Chelsey; Zieffler, Andrew; Fry, Elizabeth Brondos; Le, Laura – Statistics Education Research Journal, 2022
The influx of data and the advances in computing have led to calls to update the introductory statistics curriculum to better meet the needs of the contemporary workforce. To this end, we developed the COMputational Practices in Undergraduate TEaching of Statistics (COMPUTES) instrument, which can be used to measure the extent to which computation…
Descriptors: Statistics Education, Introductory Courses, Undergraduate Students, Teaching Methods
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Loftus, Mary; Madden, Michael G. – Teaching in Higher Education, 2020
How do we teach and learn with our students about data literacy, at the same time as Biesta (2015) calls for an emphasis on 'subjectification' i.e. 'the coming into presence of unique individual beings'? (Good Education in an Age of Measurement: Ethics, Politics, Democracy. Routledge) Our response to these challenges and the datafication of higher…
Descriptors: Teaching Methods, Data Analysis, Literacy, Learning Processes
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Dyer, Jamie O.; Elsenpeter, Ryan L. – Bioscene: Journal of College Biology Teaching, 2018
Numerous studies have examined the use of active learning methods in undergraduate courses, suggesting that these methods increase learning and retention as well as student engagement. In order to investigate the benefits of particular active learning assignments involving presentations of 3-dimensional simulations in an introductory biology…
Descriptors: Data Analysis, Active Learning, Assignments, Student Evaluation
Restrepo, Leonardo; Turner, Lesley J. – Brookings Institution, 2021
The authors have developed a visualization tool to assist higher education stakeholders in exploring options in higher education performance and accountability. The tool allows users to visualize quickly differences between programs and institutions along a number of dimensions. This report draws five insights from the visualization tool: (1)…
Descriptors: Loan Repayment, Student Financial Aid, Tuition, Salaries
Horikoshi, Izumi; Noguchi, Masato; Tamura, Yasuhisa – International Association for Development of the Information Society, 2016
In this paper, the authors attempted to evaluate design of leaning units with use of Learning Analytics technique on page flip information. Traditional formative assessment has been carried out by giving assignments and evaluating their results. However, the information that teacher can get from the evaluation is limited and coarse-grained. The…
Descriptors: Electronic Learning, Data, Data Analysis, Learning Processes
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Lodzikowski, Kacper – Language Learning & Technology, 2021
This is the first paper that provides correlational evidence about how interacting with an online allophonic transcription tool helps learners of English as a Second Language (ESL) to improve their phonological awareness. The study investigates 55 advanced ESL learners at a Polish university enrolled in a course in English phonetics and phonology.…
Descriptors: Correlation, Phonological Awareness, Scores, Second Language Learning
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Montgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William – British Journal of Educational Technology, 2019
Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL…
Descriptors: Blended Learning, Educational Technology, Higher Education, Undergraduate Students
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Rawson, Kevin; Stahovich, Thomas F.; Mayer, Richard E. – Journal of Educational Psychology, 2017
There is a long history of research efforts aimed at understanding the relationship between homework activity and academic achievement. While some self-report inventories involving homework activity have been useful for predicting academic performance, self-reported measures may be limited or even problematic. Here, we employ a novel method for…
Descriptors: Homework, Technology Uses in Education, Academic Achievement, Engineering Education
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Kögce, Davut – International Journal of Mathematical Education in Science and Technology, 2017
The aim of this study is to determine pre-service classroom teachers' beliefs and thoughts about the roles of teachers and students in the classroom before taking the Mathematics Teaching I course. With this purpose, the study employed the survey method, a descriptive research technique. The study sample included 75 pre-service teachers (55…
Descriptors: Foreign Countries, Preservice Teachers, Student Teacher Attitudes, Beliefs
Lewis, Jonathan S. – ProQuest LLC, 2017
Paid employment is one of the most common extracurricular activities among full-time undergraduates, and an array of studies has attempted to measure its impact. Methodological concerns with the extant literature, however, make it difficult to draw reliable conclusions. Furthermore, the research on working college students has little to say about…
Descriptors: Work Experience, Leadership Training, Beliefs, Leadership
DeThomas, Elizabeth M. – ProQuest LLC, 2017
This mixed methods research study examined the effects of middle and high school mathematics experiences on students' choice of college major, particularly whether students decided to major in a STEM field. Social cognitive career theory was used to examine potential influences of mathematics self-efficacy and how those influences and mathematics…
Descriptors: Mixed Methods Research, Middle School Students, High School Students, Mathematics Education
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