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Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Sibley F. Lyndgaard; Corey E. Tatel; Ruth Kanfer; Julia E. Melkers; Justin C. Sabree – Computer-Based Learning in Context, 2022
The disruptive effects of the COVID pandemic on vulnerable and/or minority demographic groups among 1) student populations and 2) persons employed in low wage sectors are well-established. This study examined whether disparity in the disruptive effects of the pandemic extend to adult learners employed in "bright prospect" sectors (e.g.,…
Descriptors: COVID-19, Pandemics, Minority Group Students, Adult Students
Laovisutthichai, Vikrom; Srihiran, Kaweekrai; Lu, Weisheng – Industry and Higher Education, 2023
Building information modeling (BIM) has been a disruptive development in the global architecture, engineering, construction and operations (AECO) industry. While architecture schools have sought to integrate BIM into their curricula, most current pedagogical approaches and lessons are derived from engineering and construction management…
Descriptors: Architectural Education, Case Studies, Creativity, Construction Industry
Prates, Jorge Marques; Melo, Silvana Morita; Valle, Pedro Henrique Dias; Garcia, Rogério Eduardo; Maldonado, José Carlos – Informatics in Education, 2023
Nowadays, SPOCs (Small Private Online Courses) have been used as complementary methods to support classroom teaching. SPOCs are courses that apply the usage of MOOCs (Massive Open Online Courses), combining classroom with online education, making them an exciting alternative for contexts such as emergency remote teaching. Although SPOCs have been…
Descriptors: Computer Software, Computer Science Education, COVID-19, Pandemics
Dan Frederking; Ajay Srikanth; Carrie Scholz – American Institutes for Research, 2023
PUMP-CS (Preparing Urban Milwaukee Pathways in Computer Science) is a researcher-practitioner partnership (RPP) among Milwaukee Public Schools (MPS), Marquette University, the Learning Partnership, and the American Institutes for Research® (AIR®). The partnership's goal is to solidify and strengthen a preK-12 computer science pathway throughout…
Descriptors: Educational Research, Partnerships in Education, Urban Areas, Computer Science Education
Yang, Jeong; Lee, Young; Fernandez, Amanda; Sanchez, Joshua – Journal of Cybersecurity Education, Research and Practice, 2020
As the cyber security landscape dynamically evolves and security professionals work to keep apace, modern-day educators face the issue of equipping a new generation for this dynamic landscape. With cyber-attacks and vulnerabilities substantially increased over the past years in frequency and severity, it is important to design and build secure…
Descriptors: Computer Security, Programming Languages, Programming, Computer Uses in Education
Šusteková, Daniela; Kontrová, Lýdia; Biba, Vladislav – European Journal of Contemporary Education, 2020
The level of students coming to the University of Žilina is very different. There are significant differences in the level of knowledge from secondary schools, in the way of study, in the approach to the responsibilities and, last but not least, in the pursuit of new knowledge. Many students have difficulties integrating fully into the study…
Descriptors: Secondary Schools, Institutional Characteristics, Secondary School Curriculum, Time Management
Godfroid, Aline; Winke, Paula; Conklin, Kathy – Second Language Research, 2020
In this paper, we review how eye tracking, which offers millisecond-precise information about how language learners orient their visual attention, can be used to investigate a variety of processes involved in the multifaceted endeavor of second language acquisition (SLA). In particular, we review the last 15 years of research in SLA, in which…
Descriptors: Second Language Learning, Eye Movements, Language Processing, Language Research
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
Adkins, Joni K.; Linville, Diana R.; Badami, Charles – Information Systems Education Journal, 2020
Online textbooks allow instructors to provide interactive and engaging activities for students. In this paper, we look at how providing an interactive online textbook is utilized and valued in a beginning computer programming course. In addition, we compare the utilization of the online textbook to the student final course grade. Our findings…
Descriptors: Instructional Effectiveness, Introductory Courses, Programming, Computer Science Education
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