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Salas-Rueda, Ricardo-Adán – International Electronic Journal of Mathematics Education, 2020
This quantitative research aims to analyze the design and implementation of the Web Application on the educational process of the Linear Function (WALF) considering the TPACK (Technological Pedagogical and Content Knowledge) model and data science. The sample consists of 45 students who studied the Basic Math course at a Mexican university during…
Descriptors: Pedagogical Content Knowledge, Technological Literacy, Mathematics Instruction, Mexicans
Zha, Shenghua; Jin, Yi; Moore, Pamela; Gaston, Joe – TechTrends: Linking Research and Practice to Improve Learning, 2020
Researchers and educators have advocated computational thinking (CT) should be integrated into K-12 settings as early as elementary schools. However, there has been a lack of knowledge of how pre-service K-8 teachers would be engaged in the learning of CT and its integration in different subject areas. In this study, we taught a flipped learning…
Descriptors: Preservice Teacher Education, Preservice Teachers, Undergraduate Students, Thinking Skills
Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
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
Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
Haijun Zeng Ed.; Jiahao Liu Ed.; Di Wu Ed.; Lijie Yue Ed. – Lecture Notes in Educational Technology, 2023
This book presents 28 practical case studies in detail and 49 case studies in brief. The collection of these case studies focuses on one or more aspects of exploration and practice on the following topics: smart campus and smart classroom, resource construction and sharing, new teaching mode, comprehensive quality evaluation of students, teacher…
Descriptors: Foreign Countries, Best Practices, Educational Technology, Technology Uses in Education
Wang, Shouhong; Wang, Hai – Journal of Information Systems Education, 2021
No-code/low-code app development is transforming traditional information system development paradigms. This paper presents a pedagogical design and teaching method for no-code business app development. The contents of the teaching module include vital concepts of business app development and assignments for students. The teaching module can be…
Descriptors: Computer Software, Information Systems, Teaching Methods, Assignments
Apple, Lillian; Baunach, John; Connelly, Glenda; Gahlhoff, Sonia; Romanowicz, Colleen Megowan; Vieyra, Rebecca Elizabeth; Walker, Lucas – Physics Teacher, 2021
Multiple initiatives contend that all students should master computational thinking, including the "Next Generation Science Standards, the K-12 Framework for Computational Thinking," and Code.org. In turn, many physics teachers have begun to explore a variety of approaches to integrating computational modeling through programming. These…
Descriptors: Science Instruction, High Schools, Secondary School Science, Physics
Hohensee, Charles, Ed.; Lobato, Joanne, Ed. – Research in Mathematics Education, 2021
This book provides a common language for and makes connections between transfer research in mathematics education and transfer research in related fields. It generates renewed excitement for and increased visibility of transfer research, by showcasing and aggregating leading-edge research from the transfer research community. This book also helps…
Descriptors: Transfer of Training, Mathematics Education, Learning Theories, Mathematical Logic
Alqahtani, Muteb M.; Hall, Jacob A.; Leventhal, Maryssa; Argila, Alyssa N. – Digital Experiences in Mathematics Education, 2022
While programming was introduced to mathematics classrooms in the 1980s, emerging robotic technologies have encouraged more widespread integration of these technologies to support the development of K-12 students' mathematical reasoning. The recent emphasis of programming and computational thinking in K-12 education has highlighted the need to…
Descriptors: Mathematics Instruction, Teaching Methods, Robotics, Pretests Posttests
Andrea Beesley; Jared Boyce; Patrik Lundh; Carol Tate; Mindy Hsiao; Elise Levin-Guracar – SRI Education, a Division of SRI International, 2022
This memo includes results of data collection from the second cohort of Collaborative Partnership to Teach Mathematical Reasoning Through Computer Programming (CPR2) teachers from classroom implementation of CPR2 in fall 2021. Findings are included for the student pre-assessment, Student Computer Science Attitude Survey, and Learning Mathematics…
Descriptors: Middle Schools, Middle School Mathematics, Computer Science Education, Programming
Brigas, Carlos Jorge; Figueiredo, José Alberto Quitério – Research in Social Sciences and Technology, 2019
In recent years, there has been an increased effort to introduce coding and computational thinking in early childhood education. In accordance with the international trend, programming has become an increasingly growing focus in European education. The idea of introducing computer programming in the classroom dates back to the late 1960s. The…
Descriptors: Computer Science Education, Thinking Skills, Coding, Elementary School Students
Rivera, Roberto; Marazzi, Mario; Torres-Saavedra, Pedro A. – Journal of Statistics Education, 2019
The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of…
Descriptors: Introductory Courses, Statistics, Guidelines, Mathematics Instruction
Ayub, Mewati; Karnalim, Oscar; Risal, Risal; Senjaya, Wenny Franciska; Wijanto, Maresha Caroline – Journal of Technology and Science Education, 2019
Due to its high failure rate, Introductory Programming has become a main concern. One of the main issues is the incapability of slow-paced students to cope up with given programming materials. This paper proposes a learning technique which utilises pair programming to help slow-paced students on Introductory Programming; each slow-paced student is…
Descriptors: Introductory Courses, Computer Science Education, Teaching Methods, Programming
Xie, Benjamin; Loksa, Dastyni; Nelson, Greg L.; Davidson, Matthew J.; Dong, Dongsheng; Kwik, Harrison; Tan, Alex Hui; Hwa, Leanne; Li, Min; Ko, Andrew J. – Computer Science Education, 2019
Background and Context: Current introductory instruction fails to identify, structure, and sequence the many skills involved in programming. Objective: We proposed a theory which identifies four distinct skills that novices learn incrementally. These skills are tracing, writing syntax, comprehending templates (reusable abstractions of programming…
Descriptors: Programming, Skill Development, Computer Science Education, Instructional Design

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