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Chun-Hsiung Tseng; Hao-Chiang Koong Lin; Andrew Chih-Wei Huang; Jia-Rou Lin – Cogent Education, 2023
This study explores the use of machine learning and physiological signals to enhance learning performance based on students' personality traits. Traditional personality assessment methods often yield unreliable responses, prompting the need for a novel approach utilizing objective data collection through physiological signals. Participants from a…
Descriptors: Artificial Intelligence, Personality Traits, Foreign Countries, Engineering Education
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Tarling, Georgie; Melro, Ana; Kleine Staarman, Judith; Fujita, Taro – Pedagogies: An International Journal, 2023
Coding bootcamps targeting diverse learners are increasingly popular. However, little research has focused on the student experience of these courses: what pedagogic practices make learning coding meaningful for them and why. In a previous paper, we proposed a conceptual framework outlining three dimensions of learning opportunities in relation to…
Descriptors: Student Attitudes, Coding, Programming, Computer Science Education
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Rachel Clune; Avishek Das; Dipti Jasrasaria; Elliot Rossomme; Orion Cohen; Anne M. Baranger – Journal of Chemical Education, 2023
A student-led mathematics bootcamp has been designed and implemented to help foster community building, improve confidence in mathematical skills, and provide mathematical resources for incoming physical chemistry doctoral students. The bootcamp is held immediately before the start of the first semester of graduate school and uses an active…
Descriptors: Chemistry, Graduate Students, Workshops, Mathematics Skills
Daniel McNeish – Grantee Submission, 2023
Scale validation is vital to psychological research because it ensures that scores from measurement scales represent the intended construct. Factor analysis fit indices are commonly used to provide quantitative evidence that a proposed factor structure is plausible. However, there is mismatch between guidelines for evaluating fit of factor models…
Descriptors: Factor Analysis, Goodness of Fit, Validity, Likert Scales
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Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Prokopyev, Mikhail Semenovich; Vlasova, Elena Zotikovna; Tretyakova, Tatyana Vasilyevna; Sorochinsky, Maksim Anatolyevich; Solovyeva, Rimma Alekseyevna – Journal of Educational Psychology - Propositos y Representaciones, 2020
At present, teaching programming to future teachers is superficial or is excluded from computer science curricular. Only programming fundamentals are taught during computer studies, and skills acquired during the training are not applied in practice. The aims of this article are (1) to develop a programming course for teacher training disciplines…
Descriptors: Programming, Computer Science Education, Programming Languages, Teacher Education Programs
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Hosseini, Roya; Akhuseyinoglu, Kamil; Brusilovsky, Peter; Malmi, Lauri; Pollari-Malmi, Kerttu; Schunn, Christian; Sirkiä, Teemu – International Journal of Artificial Intelligence in Education, 2020
This research is focused on how to support students' acquisition of program construction skills through worked examples. Although examples have been consistently proven to be valuable for student's learning, the learning technology for computer science education lacks program construction examples with interactive elements that could engage…
Descriptors: Programming, Computer Science Education, Problem Solving, Learner Engagement
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Zha, Shenghua; Jin, Yi; Moore, Pamela; Gaston, Joe – Journal of Digital Learning in Teacher Education, 2020
Informed by the person-object theory of interest, this study deployed a mixed-method concurrent triangulation design and investigated the impact of major/specialization, gender, and module design on preservice teachers' interest in teaching computational thinking. The study was conducted in a flipped computational thinking module hosted in three…
Descriptors: Blended Learning, Preservice Teachers, Teacher Attitudes, Interests
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Andrew A. Tawfik; Linda Payne; Andrew M. Olney – Technology, Knowledge and Learning, 2024
Theorists and educators increasingly highlight the importance of computational thinking in STEM education. While various scaffolding strategies describe how to best support this skillset (i.e., paired programming, worked examples), less research has focused on the design and development of these digital tools. One way to support computational…
Descriptors: Thinking Skills, Computation, STEM Education, Scaffolding (Teaching Technique)
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Gary K. W. Wong – Education and Information Technologies, 2024
As block-based visual programming platform such as Scratch become more accessible and supportive to children's programming learning, the demand on understanding a trajectory of children's computational thinking development through programming from their early ages increases rapidly in recent years. To explore the developmental process of…
Descriptors: Computation, Problem Solving, Skill Development, Programming
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G. Puttick; M. Cassidy; E. Tucker-Raymond; G. M. Troiano; C. Harteveld – Journal of Research in Science Teaching, 2024
Much research attention has been focused on learning through game playing. However, very little has been focused on student learning through game making, especially in science. Moreover, none of the studies on learning through making games has presented an account of how students engage in the process of game design in real time. The present study…
Descriptors: Design, Computer Games, Peer Teaching, Science Education
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Cecilia Axell; Astrid Berg – International Journal of Technology and Design Education, 2024
Although digital technology is an important part of young people's lives, previous research implies that they have a limited understanding of what programming is and its connection to the digital devices they encounter every day. In order to create conditions for meaningful teaching in and about programming in technology education, more knowledge…
Descriptors: Elementary School Students, Programming, Computer Science Education, Grade 1
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Lihui Sun; Danhua Zhou – Journal of Computer Assisted Learning, 2024
Background: Integrating programming in K-12 curriculum has become a global consensus. Teachers are central figures in programming instruction. But the majority of current research focuses on teachers' external teaching behaviours and less on teachers' attitudes towards programming. Objectives: The purpose of this study is to validate the K-12…
Descriptors: Foreign Countries, Elementary School Teachers, Secondary School Teachers, Teacher Attitudes
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Shadi Alawneh – Discover Education, 2024
The HCS12 microcontroller and DRAGON12-Light Trainer boards are extensively utilized in microprocessor system design education. This paper details the rationale, approach, and outcomes from implementing the DRAGON12-Light Trainer board in teaching an upper-level undergraduate microprocessors course at Oakland University. The course's primary goal…
Descriptors: Computer Science Education, Programming Languages, Computer Software, Teaching Methods
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Chamindi Kavindya Samarasekara; Claudia Ott; Anthony Robins – Education and Information Technologies, 2024
A global concern in recent years has been the formal incorporation of computing and digital technology subjects into high school curricula. Despite many initiatives to make these subjects accessible to students, significant barriers to uptake remain in many countries. In this study we convened a panel of 32 academic, research, and other experts…
Descriptors: Secondary School Curriculum, Foreign Countries, Computer Science Education, Programming
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