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Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
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Rivera, Jessica; Núñez, Anne-Marie – About Campus, 2022
The climate for minoritized groups in Science Technology Engineering and Mathematics (STEM) is exclusionary and hinders their capacity to thrive and earn degrees in STEM disciplines. Most research on and support for programs to diversify technology and STEM fields have focused on strategies in highly selective, well-resourced institutions, which…
Descriptors: Hispanic American Students, Minority Serving Institutions, STEM Education, Student Experience
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Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
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Lockwood, Elise – Cognition and Instruction, 2022
In this paper, I discuss undergraduate students' engagement in basic Python programming while solving combinatorial problems. Students solved tasks that were designed to involve programming, and they were encouraged to engage in activities of prediction and reflection. I provide data from two paired teaching experiments, and I outline how the task…
Descriptors: Undergraduate Students, Thinking Skills, Prediction, Teaching Methods
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Kong, Siu-Cheung; Lai, Ming – British Journal of Educational Technology, 2023
An important educational goal for the next generation is the ability to think computationally. Cultivating K-12 students' computational thinking (CT) requires the capacity building of teachers through teacher development programs. However, if students' learning outcomes were not assessed, it is not known whether the enhancement of teacher capacity…
Descriptors: Thinking Skills, Computer Science Education, Capacity Building, Teacher Education Programs
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Tshukudu, Ethel; Sentance, Sue; Adelakun-Adeyemo, Oluwatoyin; Nyaringita, Brenda; Quille, Keith; Zhong, Ziling – ACM Transactions on Computing Education, 2023
Motivation: As K-12 computing education becomes more established throughout the world, there is an increasing focus on accessibility for all, whether in a particular country or setting or in areas of the world that may not yet have computing established. This is primarily articulated as an equity issue. The recently developed "capacity…
Descriptors: Foreign Countries, Elementary Secondary Education, Computer Science Education, Geographic Regions
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Adigüzel, Seda; Eryilmaz, Selami; Gencer, Tugba; Göksu, Hüseyin – Journal of Educational Technology and Online Learning, 2023
This study aims to evaluate the trend and frequency of coding/programming activities in Information Technology (IT) courses, according to different parameters. The study was conducted through a survey of a private IT (Information Technology) teachers in different levels (like primary, secondary, and high schools), with questions focusing on the…
Descriptors: Coding, Information Technology, Computer Science Education, Programming
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El-Hamamsy, Laila; Pellet, Jean-Philippe; Roberts, Matthew; Kovacs, Helena; Bruno, Barbara; Zufferey, Jessica Dehler; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be considered conjointly, which is possible within Research Practice Partnerships (RPPs). RPPs look…
Descriptors: Theory Practice Relationship, Research and Development, Partnerships in Education, Computer Science Education
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Yigit, Mehmet Fatih; Seferoglu, Süleyman Sadi – Innovations in Education and Teaching International, 2023
Feedback is an essential element of education in raising student learning and performance. Along with the ubiquitous use of technologies in education, video feedback has emerged recently as a new mode of feedback delivery. While there are a number of previous studies on perceptions about video feedback, its effectiveness on feedback use remains…
Descriptors: Video Technology, Feedback (Response), Teacher Student Relationship, Teaching Methods
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Jennifer B. Chauvot; Deniz Gurkan; Cathy Horn – Journal of Cybersecurity Education, Research and Practice, 2023
It is critical for nations to have trained professionals in network security who can safeguard hardware, information systems, and electronic data. Network security education is a key knowledge unit of the National Centers of Academic Excellence in Cybersecurity and various information systems security curricula at the master's and bachelor's…
Descriptors: Computer Science Education, Computer Security, Computer Networks, Information Security
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Dana Shaat – Society for Research on Educational Effectiveness, 2023
Background/Context: There were over 500,000 open computing jobs across the country in 2018, but only 35% of U.S. high schools offer computer science classes, and only 8-10% of STEM graduates study computer science (Code.org, 2018). In 2021, only 5.1% of all Bachelor's degrees conferred were in Computer and Information Sciences (IPEDS, 2018). STEM…
Descriptors: Hispanic American Students, High School Students, Computer Science Education, Faculty Development
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Stephanie M. Robillard; Victor R. Lee; Jody Clarke-Midura; Jessica Shumway – Journal of Research on Technology in Education, 2025
This article uses interaction analysis to examine an episode moment-by-moment of how a group of educators recognized and acknowledged that a specific design decision could be harmful for a historically marginalized population of students enrolled in the district. However, once a key change was made to be more culturally responsive and considerate,…
Descriptors: Design, Computer Science, Culturally Relevant Education, Cooperation
Axel Gehrmann, Editor; Peggy Germer, Editor – Springer, 2025
This Open Access volume aims to inspire innovative and culturally-responsive transformations in teacher education practices and policies within Europe and beyond in the context of teacher shortage. It amalgamates the collaborative efforts during several years between the Center for Teacher Education and Educational Research (ZLSB) at TU Dresden…
Descriptors: Teacher Shortage, Educational Innovation, Culturally Relevant Education, Preservice Teacher Education
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Benny; Frederikus Fios; Yi Ying; Edwin Yang – Journal of Education and Learning (EduLearn), 2025
This research aims to describe the learning innovation from character building learning through the Religious Moderation 360 website. The website's content includes photos of places of worship taken with a 360 camera. The research method used is phenomenology with a qualitative approach aimed to i) explain web-based learning and ii) gather student…
Descriptors: Web Based Instruction, Values Education, Religious Factors, Religious Education
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Marie-Monique Schaper; Mariana Aki Tamashiro; Rachel Charlotte Smith; Ole Sejer Iversen – ACM Transactions on Computing Education, 2025
As emerging technologies are rapidly advancing as part of our societies and everyday life, it is crucial to include and empower all students in learning about computing and advanced technologies. These include technical capabilities of algorithms, such as the use of AI, that enable novel interactions between humans and their environment and give…
Descriptors: Inclusion, Artificial Intelligence, Student Empowerment, Algorithms
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