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Behera, Ardhendu; Matthew, Peter; Keidel, Alexander; Vangorp, Peter; Fang, Hui; Canning, Susan – International Journal of Artificial Intelligence in Education, 2020
Learning involves a substantial amount of cognitive, social and emotional states. Therefore, recognizing and understanding these states in the context of learning is key in designing informed interventions and addressing the needs of the individual student to provide personalized education. In this paper, we explore the automatic detection of…
Descriptors: Nonverbal Communication, Intelligent Tutoring Systems, Eye Movements, Learning Processes
Qian, Yizhou; Hambrusch, Susanne; Yadav, Aman; Gretter, Sarah; Li, Yue – Journal of Educational Computing Research, 2020
A quality computer science (CS) teacher needs to understand students' common misconceptions in learning CS. This study explored one aspect of CS teachers' understanding of student misconceptions: their perceptions of student misconceptions related to introductory programming. Perceptions in this study included three parts: teachers' perceived…
Descriptors: Teacher Attitudes, Misconceptions, Introductory Courses, Programming
Danaher, Maurice; Schoepp, Kevin – Journal of Information Technology Education: Research, 2020
Aim/Purpose: Within higher education, graduating students who are able to solve ill-structured, complex, open-ended, and collaborative, workplace problems is recognized as paramount. Because of this, there is a need to assess this skill across the curriculum. Background: This paper addresses this issue by assessing problem-solving across a…
Descriptors: Foreign Countries, Problem Solving, Computer Science Education, Job Skills
Aksit, Osman; Wiebe, Eric N. – Journal of Science Education and Technology, 2020
Computational thinking (CT) and modeling are authentic practices that scientists and engineers use frequently in their daily work. Advances in computing technologies have further emphasized the centrality of modeling in science by making computationally enabled model use and construction more accessible to scientists. As such, it is important for…
Descriptors: Thinking Skills, Science Instruction, Teaching Methods, Computer Science Education
Pierson, Ashlyn E.; Brady, Corey E.; Clark, Douglas B. – Journal of Science Education and Technology, 2020
This paper describes the work done by sixth grade students to achieve and sustain productive and personally meaningful lines of inquiry with computational models. The capacity to frame interactions with tools as dialogic exchanges with co-participants is a productive practice for disciplinary engagement in science and for computational thinking…
Descriptors: STEM Education, Thinking Skills, Self Concept, Personal Autonomy
Erümit, Ali Kürsat – Education and Information Technologies, 2020
Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students' attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated.…
Descriptors: Teaching Methods, Instructional Effectiveness, Programming, Programming Languages
Clark, Ulku; Stoker, Geoff; Vetter, Ron – Information Systems Education Journal, 2020
The rising number and cost of cybersecurity attacks justifies continued strong interest in the National Security Agency (NSA) and Department of Homeland Security (DHS) jointly sponsored program for National Centers of Academic Excellence in Cyber Defense (CAE-CD). After briefly outlining the current state of the cybersecurity challenge, this…
Descriptors: Educational Change, Information Security, Public Agencies, National Security
Çiftci, Serdar; Bildiren, Ahmet – Computer Science Education, 2020
Background and Context: There are studies which indicate that computer programming supports high-level abilities for everyone such as creative thinking, questioning, problem solving and critical thinking which are considered within the scope of 21st-century abilities. Objective: The current experimental study was carried out to put forth the…
Descriptors: Outcomes of Education, Coding, Cognitive Ability, Problem Solving
Aimicheva, G.; Kopeyev, Zh.; Ordabayeva, Zh.; Tokzhigitova, N.; Akimova, S. – Education and Information Technologies, 2020
The article is devoted to the issues of teaching mobile application development and, as a consequence, training of highly qualified in-demand mobile developers. Nowadays, training professional mobile developers is a crucial task all over the world. The researchers emphasize the complexity of mobile application development associated with its…
Descriptors: Teaching Methods, Telecommunications, Handheld Devices, Undergraduate Students
Tan, Song Wei Benjamin; Naraharisetti, Pavan Kumar; Chin, Siew Kian; Lee, Lai Yeng – Journal of Chemical Education, 2020
The advance of digital technology presents an opportunity to equip students with relevant skill sets as "Scientists of the Future" who are able to utilize knowledge at the interface between various disciplines. In this technology report, an open source programming language is used to automate a simple laboratory experiment commonly…
Descriptors: Programming Languages, Science Instruction, Chemistry, Computer Science Education
Patton, Belinda Andromeda – ProQuest LLC, 2020
The rise in demand for computer programming jobs has created a significant need for computer programming training. Online learning can be an effective tool for meeting the needs of these job demands. The challenge for universities is that computer programming is perceived as a difficult course by many students (Askar & Davenport, 2009; Baser,…
Descriptors: Student Attitudes, Undergraduate Students, Programming, Computer Science Education
Leo C. Ureel II – ProQuest LLC, 2020
Students in introductory computer science courses, are learning to program. Indeed, most students perceive that learning to code is the central topic explored in the courses. Students spend an enormous amount of time struggling to learn the syntax and understand semantics of a particular language. Instructors spend a similar amount of time reading…
Descriptors: Coding, Programming, Computer Science Education, Novices
Leigh A. Mutchler; Amy J. Connolly; Daniel E. Rush – Journal of Information Systems Education, 2024
Information systems courses must adapt to meet the unprecedented demand for well-trained information security (InfoSec) professionals, but they cannot competently fill this gap without also ensuring that students are fluent and confident in foundational skills, both technical and behavioral. How to teach behavioral topics in InfoSec management is…
Descriptors: Information Security, Information Science Education, Information Systems, Technological Literacy
Lijun Ni; Gillian Bausch; Elizabeth Thomas-Cappello; Fred Martin; Bernardo Feliciano – ACM Transactions on Computing Education, 2024
This study examined student learning outcomes from a middle school computer science (CS) curriculum developed through a researcher and practitioner partnership (RPP) project. The curriculum is based on students creating mobile apps that serve community and social good. We collected two sets of data from 294 students in three urban districts: (1)…
Descriptors: Computer Software, Middle School Students, Coding, Self Efficacy
Monica Ward; Fiona O'Riordan; Danielle Logan-Fleming; Dervila Cooke; Tara Concannon-Gibney; Marina Efthymiou; Niamh Watkins – Innovations in Education and Teaching International, 2024
Assessment is a central feature of teaching and learning. It is both complex and challenging in ordinary times, and these aspects are magnified in an online learning environment. Given its central role, it is crucial that its design and purpose is rigorous and robust. This paper presents justification for using interactive oral assessment as an…
Descriptors: Verbal Tests, Oral Language, Experiential Learning, Case Studies

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