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Mills, Robert J.; Beaulieu, Tanya Y.; Feldon, David F.; Olsen, David H. – Decision Sciences Journal of Innovative Education, 2020
ABSTRACT For some time, there has been a call for cross-disciplinary teaching within the business disciplines. With the rise of data and analytics, there is an opportunity for cross-disciplinary teaching by integrating technology throughout the business curriculum. However, many business professors have little experience in cross-disciplinary…
Descriptors: Cognitive Processes, Difficulty Level, Instructional Effectiveness, Interdisciplinary Approach
Türker, Pinar Mihci; Pala, Ferhat Kadir – International Journal of Computer Science Education in Schools, 2020
In this study, the effect of algorithm education on pre-service teachers' computational thinking skills and computer programming self-efficacy perceptions were examined. In the study, one group pretest posttest experimental design was employed. The participants consisted of 24 (14 males and 10 females) pre-service teachers, majoring in Computer…
Descriptors: Mathematics, Computation, Computer Science Education, Programming
Kenney, Rachael; An, Tuyin; Kim, Sung-Hee; Uhan, Nelson A.; Yi, Ji Soo; Shamsul, Aiman – International Journal of Science and Mathematics Education, 2020
In linear programming, many students find it difficult to translate a verbal description of a problem into a valid mathematical model. To better understand this, we examine the existing characteristics of college engineering students' errors across linear programming (LP) problems. We examined textbooks to identify the types of problems typically…
Descriptors: Programming, Error Patterns, Engineering Education, Word Problems (Mathematics)
Grubišic, Ani; Žitko, Branko; Stankov, Slavomir – Journal of Technology and Science Education, 2020
In intelligent e-learning systems that adapt a learning and teaching process to student knowledge, it is important to adapt the system as quickly as possible. However, adaptation is not possible until the student model is initialized. In this paper, a new approach to student model initialization using domain knowledge representative subset is…
Descriptors: Electronic Learning, Educational Technology, Models, Intelligent Tutoring Systems
Margulieux, Lauren E.; Morrison, Briana B.; Decker, Adrienne – International Journal of STEM Education, 2020
Background: Programming a computer is an increasingly valuable skill, but dropout and failure rates in introductory programming courses are regularly as high as 50%. Like many fields, programming requires students to learn complex problem-solving procedures from instructors who tend to have tacit knowledge about low-level procedures that they have…
Descriptors: Programming, Computer Science Education, Introductory Courses, Withdrawal (Education)
Presicce, Carmelo; Jain, Rupal; Rodeghiero, Carolina; Gabaree, Lily E.; Rusk, Natalie – Information and Learning Sciences, 2020
Purpose: Many educators currently face challenges when trying to engage students in creative learning experiences online, where it can be particularly difficult to move beyond the transmissive approach typical of video lessons and webinars. The purpose of this paper is to present WeScratch, online workshops designed as welcoming, playful and…
Descriptors: Inclusion, Play, Cooperative Learning, Creativity
Ali Alqarni – Journal of Educational Computing Research, 2025
This study examined the effect of gamification on visual programming and computational thinking skills among primary school students, aiming to investigate how gamified learning environments enhance cognitive skill development and conceptual integration compared to traditional teaching methods. A quasi-experimental design was employed, involving…
Descriptors: Thinking Skills, Game Based Learning, Achievement Tests, Teaching Methods
Damsa, Crina; Nerland, Monika; Andreadakis, Zacharias E. – British Journal of Educational Technology, 2019
This paper argues for the need to develop a relational, emergent and plural understanding of learning spaces. We take an ecological perspective on learning, which allows us to conceptualize learning spaces as (co-)constructed by learners; emerging through learners' practices, interactions and activities; and facilitated by pedagogical…
Descriptors: Educational Environment, Educational Technology, Ecological Factors, Affordances
Zalavra, Eleni; Papanikolaou, Kyparisia – Electronic Journal of e-Learning, 2019
This paper reports on a study carried out with pre-service teachers who first developed a course by designing it in a Learning Design (LD) tool and then implemented it as a course in Moodle. The research explores the potential of "the Learning Designer," the LD tool utilized in the study, by addressing three aspects of the LD tool's…
Descriptors: Instructional Design, Preservice Teacher Education, Preservice Teachers, Programming
Settle, Quisto; Brubaker, McKayla; Hardman, Alisha; Downey, Laura – Journal of Extension, 2019
A representative sample of Mississippi residents were asked about their knowledge and perceptions of the Mississippi State University (MSU) Extension Service through an online questionnaire. About half of the respondents were aware of MSU Extension, but fewer than one fifth had used MSU Extension resources. Respondents who were aware of MSU…
Descriptors: Student Attitudes, Extension Education, State Universities, Online Surveys
Zanetti, Margot; Iseppi, Giulia; Cassese, Francesco Peluso – Research on Education and Media, 2019
This work analyses the use of artificial intelligence in education from an interdisciplinary point of view. New studies demonstrated that an AI can "deviate" and become potentially malicious, due to programmers' biases, corrupted feeds or purposeful actions. Knowing the pervasive use of artificial intelligence systems, including in the…
Descriptors: Artificial Intelligence, Programming, Technology Uses in Education, Influence of Technology
Fritz, Lydia – Journal of Instructional Research, 2019
This is an experience paper that describes methods of student assessment in introductory- and intermediate-level computing courses. The paper explains the need for alternate methods in the evaluation of out-of-class programming assignments and enumerates several options that have been incorporated into freshman- and sophomore-level courses. I show…
Descriptors: Computer Science Education, Student Evaluation, College Students, Introductory Courses
Chen, Chen; Jeckel, Stuart; Sonnert, Gerhard; Sadler, Philip M. – International Journal of Computer Science Education in Schools, 2019
This study examines the relationship between students' pre-college experience with computers and their later success in introductory computer science classes in college. Data were drawn from a nationally representative sample of 10,197 students enrolled in computer science at 118 colleges and universities in the United States. We found that…
Descriptors: Computer Science Education, Programming, Academic Achievement, College Students
Abass, Olalere A.; Olajide, Samuel A.; Samuel, Babafemi O. – Turkish Online Journal of Distance Education, 2017
The traditional method of assessment (examination) is often characterized by examination questions leakages, human errors during marking of scripts and recording of scores. The technological advancement in the field of computer science has necessitated the need for computer usage in majorly all areas of human life and endeavors, education sector…
Descriptors: Computer Assisted Testing, Computer System Design, Test Format, Design Requirements
Srnec, Matthew N.; Upadhyay, Shiv; Madura, Jeffry D. – Journal of Chemical Education, 2017
In undergraduate physical chemistry, Schrödinger's equation is solved for a variety of cases. In doing so, the energies and wave functions of the system can be interpreted to provide connections with the physical system being studied. Solving this equation by hand for a one-dimensional system is a manageable task, but it becomes time-consuming…
Descriptors: Undergraduate Study, College Science, Chemistry, Science Instruction

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