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Mao, Ye; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Modeling student learning processes is highly complex since it is influenced by many factors such as motivation and learning habits. The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further. Deep Learning models such as Long-Short Term Memory (LSTMs) and…
Descriptors: Time, Models, Artificial Intelligence, Bayesian Statistics
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Eustace, James; Bradford, Michael; Pathak, Pramod – Journal of Computers in Mathematics and Science Teaching, 2020
Mathematics is a foundation subject within Computer Science which students continue to find challenging. Technology-enhanced learning pedagogies provide opportunities to improve educational learning outcomes, supporting dialogue and best practice. Research conducted over a three-year period at National College of Ireland's "Introduction to…
Descriptors: Blended Learning, Teaching Methods, Computer Science Education, Mathematics Instruction
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Sendurur, Emine; Ersoy, Esen; Çetin, Ismail – International Journal of Technology and Design Education, 2018
The design and development processes of instructional materials might be considered simple and clear because the pre-established instructional goals can lead the way. However, in practice, there are lots of issues to be considered during these processes. The quality of the material, appropriate visual design, usability, and acceptable amount of…
Descriptors: Instructional Materials, Design, Creativity, Computer Science Education
Jagesic, Sanja; Wyatt, Jeff – College Board, 2022
The Advanced Placement® (AP®) Program offers high school students the opportunity to take rigorous coursework in high school and receive college credit for AP Exam scores that meet or exceed the requirements of their attending institution. Students receiving AP credit are typically exempted from an introductory level course or series of courses…
Descriptors: Advanced Placement Programs, High School Students, College Credits, Tests
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Spiegelman, Marsha; Glass, Richard – Journal of Educational Technology Systems, 2009
Gaming and social networking define the millennial student. This research focuses on an evolving collaboration between 2 faculty members of different disciplines who merged Web 2.0 and game scenarios to infuse research techniques as integral components of math/computer science courses. Blogs and wikis facilitated student-faculty interaction beyond…
Descriptors: Research Skills, College Faculty, College Students, Mathematics Instruction
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Reisel, John R.; Jablonski, Marissa; Hosseini, Hossein; Munson, Ethan – International Journal of Mathematical Education in Science and Technology, 2012
A summer bridge program for incoming engineering and computer science freshmen has been used at the University of Wisconsin-Milwaukee from 2007 to 2010. The primary purpose of this program has been to improve the mathematics course placement for incoming students who initially place into a course below Calculus I on the math placement examination.…
Descriptors: Academic Achievement, Engineering, Computer Science, Calculus
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Bonestroo, Wilco J.; de Jong, Ton – Interactive Learning Environments, 2012
Self-regulated learners are expected to plan their own learning. Because planning is a complex task, it is not self-evident that all learners can perform this task successfully. In this study, we examined the effects of two planning support tools on the quality of created plans, planning behavior, task load, and acquired knowledge. Sixty-five…
Descriptors: Foreign Countries, Educational Technology, Preferences, Planning
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Nunes, Miguel Baptista, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers and posters of the International Conference on e-Learning (EL) 2019, which was organised by the International Association for Development of the Information Society and co-organised by the Instituto Superior de Engenharia do Porto, in Porto, Portugal, July 17-19, 2019. The EL 2019 conference aims to address the…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Instruction, Cooperation
O'Mahony, Catherine, Ed.; Buchanan, Avril, Ed.; O'Rourke, Mary, Ed.; Higgs, Bettie, Ed. – National Academy for Integration of Research, Teaching and Learning, 2014
The 6th Annual Conference of the National Academy for the Integration of Research, Teaching and Learning (NAIRTL) and the 4th Biennial Threshold Concepts Conference was held at Trinity College Dublin, Ireland, on June 27-29, 2012. The NAIRTL is a collaborative initiative between University College Cork, Cork Institute of Technology, National…
Descriptors: Fundamental Concepts, Higher Education, College Instruction, Learner Engagement
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Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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Warwick, Jon – PRIMUS, 2007
The decline in the development of mathematical skills in students prior to university entrance has been a matter of concern to UK higher education staff for a number of years. This article describes a pilot study that uses the Analytic Hierarchy Process to quantify the mathematical experiences of computing students prior to the start of a first…
Descriptors: Foreign Countries, Mathematics Instruction, College Students, Student Needs
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Bunch, John M. – Journal of Information Systems Education, 2009
This paper presents a goal-based scenario approach to teaching introductory database concepts to undergraduates using two different scaffolding methods. One method, termed "worked-out examples," attempts to reduce extraneous cognitive load by requiring students to complete increasingly complex missing parts of worked out examples. The other…
Descriptors: Cognitive Processes, Difficulty Level, Undergraduate Students, Scaffolding (Teaching Technique)
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Lenne, Dominique; Abel, Marie-Helene; Trigano, Philippe; Leblanc, Adeline – Technology, Pedagogy and Education, 2008
In Technology Enhanced Learning Environments, self-regulated learning (SRL) partly relies on the features of the technological tools. The authors present two environments they designed in order to facilitate SRL: the first one (e-Dalgo) is a website dedicated to the learning of algorithms and computer programming. It is structured as a classical…
Descriptors: Electronic Learning, Educational Technology, Computer Assisted Instruction, Technology Integration
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
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Hambleton, Ian R.; Foster, William H.; Richardson, John T. E. – Higher Education, 1998
College mathematics and computer science students in two math courses (conventional lecture-based, and a multimedia variant of the Personalized System of Instruction) completed the Approaches to Studying Inventory. Students in the latter course obtained higher scores on meaning orientation. The effect was significant in computer-science students,…
Descriptors: Classroom Techniques, College Instruction, College Mathematics, College Students
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