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Faulconer, E. K.; Griffith, J. C. – Journal of Science Education and Technology, 2022
Learning chemistry in an online environment may have multiple sources of anxiety for students, including chemistry anxiety, math anxiety, computer anxiety, and trait anxiety (personality attribute of proneness to experience anxiety). While previous research has explored relationships between math and chemistry anxiety in a traditional setting, no…
Descriptors: Anxiety, Introductory Courses, Undergraduate Students, Chemistry
Bettin, Briana; Jarvie-Eggart, Michelle; Steelman, Kelly S.; Wallace, Charles – IEEE Transactions on Education, 2022
In the wake of the so-called fourth industrial revolution, computer programming has become a foundational competency across engineering disciplines. Yet engineering students often resist the notion that computer programming is a skill relevant to their future profession. Here are presented two activities aimed at supporting the early development…
Descriptors: College Freshmen, Engineering Education, Programming, Coding
David Kocsis; Morgan Shepherd; Daniel L. Segal – Journal of Information Systems Education, 2025
This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…
Descriptors: Computer Software, Information Security, Computer Science Education, Teaching Methods
Justin Gambrell; Eric Brewe – Physical Review Physics Education Research, 2024
Computational thinking in physics has many different forms, definitions, and implementations depending on the level of physics or the institution it is presented in. To better integrate computational thinking in introductory physics, we need to understand what physicists find important about computational thinking in introductory physics. We…
Descriptors: Physics, Introductory Courses, Science Instruction, Thinking Skills
Adler, Rachel F.; Beck, Kristan – Journal of Technology and Teacher Education, 2020
Computational thinking (CT) involves breaking a problem into smaller components and solving it using algorithmic thinking and abstraction. CT is no longer exclusively for computer scientists but for everyone. While CT does not necessarily require programming, learning programming to enhance CT skills at a young age can help shape the next…
Descriptors: Curriculum Development, Introductory Courses, Computer Science Education, Preservice Teachers
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
Elmas, Mevlüt; Özden, M. Yasar – Online Submission, 2022
Everyday, technology in our life changes quickly. Every development made by humans in the field of technology affects the way of our life, and education is not an exception. We now have a variety of learning methods in addition to conventional, in-person instruction. This research was carried out in the "Computer for Low" (ITEC190) and…
Descriptors: Teaching Methods, Blended Learning, Computer Literacy, Computer Science Education
Warren, Scott J.; Robinson, Heather Ann – American Journal of Distance Education, 2018
With increased online course offerings at most higher education institutions, it is important to have a way to determine whether the courses continue to have value to students or outlived their usefulness. Courses are the central means of knowledge delivery for each institution and may be viewed through the lens of the product life-cycle, which is…
Descriptors: Online Courses, Learner Engagement, Developmental Stages, Models
Acharya, Anal; Sinha, Devadatta – Journal of Educational Technology Systems, 2018
This study uses homogeneity in personal learning styles and heterogeneity in subject knowledge for collaborative learning group decomposition indicating that groups are "mixed" in nature. Homogeneity within groups was formed using K-means clustering and greedy search, whereas heterogeneity imbibed using agenda-driven search. For checking…
Descriptors: Cooperative Learning, Outcomes of Education, Multiple Regression Analysis, Cognitive Style
Adiguzel, Tufan; Varank, Ilhan; Erkoç, Mehmet Fatih; Buyukimdat, Meryem Koskeroglu – EURASIA Journal of Mathematics, Science & Technology Education, 2017
This study focused on formative use of peer feedback in an online system that was used in basic computer literacy for word processing assignment-related purposes. Specifically, the effect of quantity, modality and satisfaction of peer feedback provided through the online system on students' performance, self-efficacy, and technology acceptance was…
Descriptors: Computer Literacy, Introductory Courses, Computer Science Education, Feedback (Response)
Frydenberg, Mark – International Association for Development of the Information Society, 2015
Teaching students to create computer games has become a common practice in both K-12 and tertiary education to introducing programming concepts, increasing student engagement, and recruiting majors and minors in technology fields. This study describes a project where first-year college students in an introductory technology concepts course use a…
Descriptors: Computer Games, Computer Science Education, Programming, Introductory Courses
Downey, James P.; Kher, Hemant V. – Journal of Information Technology Education: Research, 2015
Technology training in the classroom is critical in preparing students for upper level classes as well as professional careers, especially in fields such as technology. One of the key enablers to this process is computer self-efficacy (CSE), which has an extensive stream of empirical research. Despite this, one of the missing pieces is how CSE…
Descriptors: Longitudinal Studies, Computer Literacy, Self Efficacy, Technology Education
Kordaki, Maria; Papastergiou, Marina; Psomos, Panagiotis – Education and Information Technologies, 2016
The aim of this work was twofold. First, an empirical study was designed aimed at investigating the perceptions that entry-level non-computing majors--namely Physical Education and Sport Science (PESS) undergraduate students--hold about basic Computer Literacy (CL) issues. The participants were 90 first-year PESS students, and their perceptions…
Descriptors: Undergraduate Students, Student Attitudes, Computer Assisted Instruction, Educational Games
Cetin, Ibrahim – Journal of Educational Computing Research, 2016
Computational thinking has been gaining new impetus in the academic community and in K-12 level education. Scratch is a visual programming environment that can be utilized to teach and learn introductory computing concepts. There are some studies investigating the effectiveness of Scratch for K-12 level education. However, studies that have been…
Descriptors: Preservice Teachers, Preservice Teacher Education, Computation, Programming
Varank, Ilhan; Erkoç, M. Fatih; Büyükimdat, Meryem Köskeroglu; Aktas, Mehmet; Yeni, Sabiha; Adigüzel, Tufan; Cömert, Zafer; Esgin, Esad – EURASIA Journal of Mathematics, Science & Technology Education, 2014
The purpose of this study was to investigate the effectiveness of an online automated evaluation and feedback system that assessed students' word processing assignments prepared with Microsoft Office Word. The participants of the study were 119 undergraduate teacher education students, 86 of whom were female and 32 were male, enrolled in different…
Descriptors: Computer Literacy, Introductory Courses, Student Evaluation, Feedback (Response)

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