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Lafuente, Deborah; Cohen, Brenda; Fiorini, Guillermo; Garci´a, Agusti´n Alejo; Bringas, Mauro; Morzan, Ezequiel; Onna, Diego – Journal of Chemical Education, 2021
Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…
Descriptors: Undergraduate Students, Chemistry, Electronic Learning, Artificial Intelligence
Orly Barzilai; Sofia Sherman; Moshe Leiba; Hadar Spiegel – Journal of Information Systems Education, 2024
Data Structures and Algorithms (DS) is a basic computer science course that is a prerequisite for taking advanced information systems (IS) curriculum courses. The course aims to teach students how to analyze a problem, design a solution, and implement it using pseudocode to construct knowledge and develop the necessary skills for algorithmic…
Descriptors: Statistics Education, Problem Solving, Information Systems, Algorithms
Elvina, Elvina; Karnalim, Oscar; Ayub, Mewati; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2018
Numerous Program Visualization tools (PVs) have been developed for assisting novice students to understand their source code further. However, none of them are practical to be used in the context of completing programming laboratory task; students are required to keep switching between PV and programming workspace since PV's features are…
Descriptors: Visualization, Programming, Computer Science Education, Intelligent Tutoring Systems
Ammar, Salwa; Kim, Min Jung; Masoumi, Amir H.; Tomoiaga, Alin – Decision Sciences Journal of Innovative Education, 2023
Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…
Descriptors: Business, Data Analysis, Business Administration Education, Intercollegiate Cooperation
Jeyaraj, Anand – Journal of Information Systems Education, 2019
Responding to the industry need for professionals to employ data-driven decision-making, educational institutions offer courses in business analytics (BA). Since BA professionals require a unique set of skills different from those found in specific business disciplines, a pedagogical framework to impart such knowledge and skills was developed. The…
Descriptors: Decision Making, Data Analysis, Visualization, Data Interpretation
Eriksen, Kristina; Nielsen, Bjarne E.; Pittelkow, Michael – Journal of Chemical Education, 2020
We present a simple procedure to make an augmented reality app to visualize any chemical 3D model. The molecular structure may be based on crystallographic data or from computational modeling. This guide is made in such a way that no programming skills are needed, and the procedure uses free software and provides a way to visualize 3D structures…
Descriptors: Chemistry, Molecular Structure, Science Instruction, Teaching Methods
Broatch, Jennifer E.; Dietrich, Suzanne; Goelman, Don – Journal of Statistics Education, 2019
Early exposure to data science skills, such as relational databases, is essential for students in statistics as well as many other disciplines in an increasingly data driven society. The goal of the presented pedagogy is to introduce undergraduate students to fundamental database concepts and to illuminate the connection between these database…
Descriptors: Statistics, Teaching Methods, Computer Software, Mathematics Instruction
Akar, Sacide Guzin Mazman; Altun, Arif – Contemporary Educational Technology, 2017
The purpose of this study is to investigate and conceptualize the ranks of importance of social cognitive variables on university students' computer programming performances. Spatial ability, working memory, self-efficacy, gender, prior knowledge and the universities students attend were taken as variables to be analyzed. The study has been…
Descriptors: Individual Differences, Learning Processes, Programming, Self Efficacy
Cetin, Ibrahim – Computer Science Education, 2013
The purpose of this study was twofold: to investigate students' concept images about class, object, and their relationship and to help them enhance their learning of these notions with a visualization tool. Fifty-six second-year university students participated in the study. To investigate his/her concept images, the researcher developed a survey…
Descriptors: Computer Science Education, Programming, Visualization, Animation
Narasimhamurthy, Uma; Al Shawkani, Khuloud – Educational Technology, 2010
This article describes a model for teaching Java Programming Language through Dynamic Learning Objects. The design of the learning objects was based on effective learning design principles to help students learn the complex topic of Java Programming. Visualization was also used to facilitate the learning of the concepts. (Contains 1 figure and 2…
Descriptors: Programming Languages, Programming, Visualization, Schools
Yuen, Timothy T.; Robbins, Kay A. – ACM Transactions on Computing Education, 2014
Critical thinking, problem solving, the use of tools, and the ability to consume and analyze information are important skills for the 21st century workforce. This article presents a qualitative case study that follows five undergraduate biology majors in a computer science course (CS0). This CS0 course teaches programming within a data-driven…
Descriptors: Qualitative Research, Critical Thinking, Thinking Skills, Problem Solving
Olsson, Marie; Mozelius, Peter; Collin, Jonas – Electronic Journal of e-Learning, 2015
Courses in virtual learning environments can leave recently enrolled participants in a state of loneliness, confusion and boredom. What course content is essential in the course, where can more information be found and which assignments are mandatory? Research has stated that learner control and motivation are crucial issues for successful online…
Descriptors: Questionnaires, Visualization, Electronic Learning, Programming
Sa, Leonardo; Hsin, Wen-Jung – InSight: A Journal of Scholarly Teaching, 2010
Recursion is a concept that can be used to describe the phenomena and natural occurrences in many different fields. As many applications utilize computer software to model recursion, recursion is a particularly important concept in the computing discipline. However, it is a difficult concept for many undergraduate students to master. A Recursion…
Descriptors: Computer Science Education, Undergraduate Students, Programming, Mathematics
Pasko, Alexander; Adzhiev, Valery; Malikova, Evgeniya; Pilyugin, Victor – Journal of Information Technology Education: Innovations in Practice, 2013
Modern education technologies are destined to reflect the realities of a modern digital age. The juxtaposition of real and synthetic (computer-generated) worlds as well as a greater emphasis on visual dimension are especially important characteristics that have to be taken into account in learning and teaching. We describe the ways in which an…
Descriptors: Educational Technology, Computer Uses in Education, Models, Visual Aids
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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