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UK Department for Education, 2024
From September 2023 to March 2024, Faculty AI, the National Institute of Teaching (NIoT) and ImpactEd Group (representing the AI in Schools Initiative) have worked with the Department for Education (DfE) to deliver the Use Cases for Generative Artificial Intelligence in Education project. The project explored potential applications for Generative…
Descriptors: Artificial Intelligence, Technology Uses in Education, Ethics, Computer Science
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Tan, Wee-Ling; Samsudin, Mohd Ali; Ismail, Mohd Erfy; Ahmad, Nur Jahan – Problems of Education in the 21st Century, 2020
The main aim of the presented research was to examine the interaction between student's gender and achievements in learning concepts of electricity via STEAM integrated approach utilizing Scratch. This research was aimed to determine the gender disparity for lower-secondary school students in learning about the concepts of electricity.…
Descriptors: Foreign Countries, Gender Differences, Academic Achievement, Energy
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Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
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Spalding, Sarah M. – History Teacher, 2021
By using the "Game of Thrones" pop-culture television series, the author has structured courses in a way that seeks to solve problems that plague many history courses serving university requirements. In this article, the author will discuss how gaming the classroom can serve as a solution to the issue of engaging majors and non-majors…
Descriptors: History Instruction, Educational Games, Teaching Methods, Role Playing
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Wang, Sabrina Luxin; Zhang, Anna Yinqi; Messer, Samuel; Wiesner, Andrew; Pearl, Dennis K. – Journal of Statistics and Data Science Education, 2021
This article describes a suite of student-created Shiny apps for teaching statistics and a field test of their short-term effectiveness. To date, more than 50 Shiny apps and a growing collection of associated lesson plans, designed to enrich the teaching of both introductory and upper division statistics courses, have been developed. The apps are…
Descriptors: Student Centered Learning, Teaching Methods, Statistics Education, Introductory Courses
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Merkouris, Alexandros; Chorianopoulos, Konstantinos – ACM Transactions on Computing Education, 2019
Contemporary research has explored educational robotics, but it has not examined the development of computational thinking in the context of programming embodied interactions. Apart from the goal of the robot and how the robot will interact with its environment, another important aspect that should be taken into consideration is whether and how…
Descriptors: Educational Technology, Robotics, Middle School Students, Man Machine Systems
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Leidig, Jonathan P. – Information Systems Education Journal, 2023
Educators are tasked with continually updating course objectives, content, assignments, and assessment to meet model curriculum guidelines. IS2020 proposes program level outcomes for required and elective areas. Two elective areas in IS2020 are Data and Business Analytics and Data and Information Visualization. IS2020 details 14 program level…
Descriptors: Course Objectives, Outcomes of Education, Curriculum Development, Required Courses
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Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
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Wolz, Sabine; Bergande, Bianca; Brune, Philipp – Cogent Education, 2022
Programming is an essential part of the curriculum of computer science non-major students. The motivation for the various elements of interdisciplinary degrees is often very low in computer science, which faces a gender gap as well. Differences between study courses and gender in confidence, attitude, student numbers, and motivation in computer…
Descriptors: Introductory Courses, Gender Differences, Computer Science Education, Nonmajors
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Deepamala, N.; Shobha, G. – Journal of Technology and Science Education, 2018
Final year or Capstone Project is the final and important phase of the undergraduate curriculum in a Computer Science Engineering program. Final year project is a course where all the skills learnt by the students in the course are applied and evaluated. The important aspects in the delivery of this course are (i) developing a model to train the…
Descriptors: Curriculum, Holistic Approach, Learning Experience, Undergraduate Students
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Bosnic, Ivana; Cavrak, Igor; Žagar, Mario – ACM Transactions on Computing Education, 2019
Various software engineering (SE) curricula in higher education have started including courses on global software engineering (GSE), carried out as internationally distributed project-based courses. These courses, known for their closeness to "real-world" work experience, emphasize the importance of involving industry partners as…
Descriptors: Computer Software, Higher Education, Student Projects, Experiential Learning
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Lakanen, Antti Jussi; Isomöttönen, Ville – Informatics in Education, 2018
This longitudinal study investigates the impact of an extra-curricular programming workshop in student interest development in computer science. The workshop was targeted at 12-18-year old youngsters. A survey was sent to all previous participants with a known home address; 31.5% responded the survey (n = 197). This data was then combined with…
Descriptors: Computer Science Education, Extracurricular Activities, Programming, Workshops
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Pattemore, Anastasia; Muñoz, Carmen – JALT CALL Journal, 2022
This study explores the effects of extensive audio-visual input with three captioning modes -- unenhanced captions, textually enhanced captions, and no captions -- on learning a variety of L2 grammatical constructions and examines the effects of three learnability factors: construction type, frequency, and recency. A total of 112 participants…
Descriptors: Audiovisual Aids, Linguistic Input, Second Language Learning, Second Language Instruction
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Tran, Yune – Journal of Educational Computing Research, 2019
The Computer Science Teachers Association has asserted that computational thinking equips students with essential critical thinking which allows them to conceptualize, analyze, and solve more complex problems. These skills are applicable to all content area as students learn to use strategies, ideas, and technological practices more effectively as…
Descriptors: Equal Education, Elementary School Students, Pretests Posttests, Computer Science Education
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Maranga, Jemar Jude A.; Matugas, Leilla Keith J.; Lim, Jorge Frederick W.; Romana, Cherry Lyn C. Sta. – International Association for Development of the Information Society, 2019
Teaching an introductory programming course to an average of 40 students while monitoring their performance can be a challenge for instructors. Preparing coding exercises with test cases and checking students' programs can prove to be time consuming at times. Moreover, programming has been known to be quite difficult for students to learn. To…
Descriptors: Online Courses, Programming Languages, Introductory Courses, Computer Science Education
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