Treffer 1 - 20 von 2.779

1

小学信息科技课堂中 "纸质流程图" 辅助编程教学的实践探索.
毛向敏
China Pulp & Paper Industry. 2025, Vol. 46 Issue 11, p136-138. 3p.

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2

TUTORIA REMOTA: UMA ESTRATÉGIA EFICAZ PARA APRIMORAR O ENSINO DE PROGRAMAÇÃO EM ENGENHARIA.
Duarte, Riam Ferreira Lopes ; Longhini, Tatielle Menolli ; de Souza Toledo, Buno
Brazilian Journal of Production Engineering / Revista Brasileira de Engenharia de Produção. jul-sep2025, Vol. 11 Issue 3, p259-272. 14p.

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3

Engaging students of color in physiological computing with insights from eye-tracking.
Luo, Feiya ; Liu, Ruohan ; Nasrin, Fatema ; et al.
Journal of Research on Technology in Education. Dec2025, Vol. 57 Issue 6, p1205-1229. 25p.

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4

Improving Computing Education Research through Valuing Design: Exploring alternatives to existing research systems and methods.
Shapiro, R. Benjamin ; DesPortes, Kayla ; DiSalvo, Betsy
Communications of the ACM. Aug2023, Vol. 66 Issue 8, p24-26. 3p. 1 Color Photograph.

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5

Azerbaijan reveals student intake for Artificial Intelligence Academy.
Azerbaijan Monthly ICT Monitoring. Dec2025, pN.PAG-N.PAG. 1p.

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7

Putting a Teaspoon of Programming into Other Subjects: Using teaspoon languages to integrate programming across myriad academic disciplines.
Guzdial, Mark ; Dodoo, Emma ; Naimpour, Bahare ; et al.
Communications of the ACM. May2023, Vol. 66 Issue 5, p24-26. 3p. 2 Color Photographs.

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8

Integrating a ChatGPT-enhanced error feedback system with epistemic network analysis to explore students’ learning programming behaviors.
Su, Yu-Sheng ; Hsu, Wan-Ying ; Chen, Jou-An
Interactive Learning Environments. Jan2026, p1-21. 21p. 5 Illustrations.

CHATGPT COMPUTER programming edu... BEHAVIORAL assessment EDUCATIONAL technology C++ SELF-regulated learning
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9

Learning by teaching with ChatGPT: The effect of teachable ChatGPT agent on programming education.
Chen, Angxuan ; Wei, Yuang ; Le, Huixiao ; et al.
British Journal of Educational Technology. Jan2026, Vol. 57 Issue 1, p163-184. 22p.

CHATGPT COMPUTER programming edu... LEARNING by teaching DEBUGGING INSTRUCTIONAL systems INTERACTIVE learning
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10

Beyond verbal self‐explanations: Student annotations of a code‐tracing solution produced by ChatGPT.
Gandhi, Abbey ; Muldner, Kasia
British Journal of Educational Technology. Jan2026, Vol. 57 Issue 1, p112-137. 26p.

CHATGPT COMPUTER programming edu... ARTIFICIAL intelligence GRAPHIC methods ANNOTATIONS STUDENT engagement
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11

Large Language Model and Fuzzy Metric Integration in Assignment Grading for Introduction to Programming Type of Courses.
Radišić, Rade ; Popov, Srđan ; Ralević, Nebojša
Mathematics (2227-7390). Jan2026, Vol. 14 Issue 1, p137. 16p.

GRADING of students COMPUTER programming edu... FUZZY measure theory FUZZY clustering techniq... EDUCATIONAL evaluation LANGUAGE models
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12

Bridging Concrete to Idealized: Integrating Hands-on Movements and Multiple External Representations in Programming Instructional Videos.
Xu, Ke ; Zhang, Yi ; Wang, Ruiyun ; et al.
Journal of Educational Research. Dec2025, p1-13. 13p. 10 Illustrations.

COMPUTER programming edu... COGNITIVE load PSYCHOLOGICAL factors EDUCATIONAL outcomes GESTURE VISUAL aids
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13

Is there a difference in cognition and behavior among learners with different learning styles when using GenAI-assisted learning? An empirical analysis based on programming learning.
Wei, Dong ; Fangxuan, Zhao ; Nengbao, Yu ; et al.
Interactive Learning Environments. Dec2025, p1-15. 15p. 5 Illustrations.

GENERATIVE artificial in... COMPUTER programming edu... INDIVIDUALIZED instructi... ACADEMIC achievement COGNITION HUMAN behavior
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14

Teaching Programming in Township Schools: A Mental Model Approach to Developing Computational Thinking.
Tshidi, Mashite
African Journal of Research in Mathematics, Science & Technology Education. Dec2025, Vol. 29 Issue 3, p322-334. 13p.

COMPUTER programming edu... TEACHING methods PROBLEM solving TEACHER training RURAL schools DIGITAL technology
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15

Balancing human and AI instruction: insights from secondary student satisfaction with AI-assisted learning.
Zhang, Wenchao ; Xiong, Yimeng ; Zhou, Dongmei ; et al.
Interactive Learning Environments. Nov2025, Vol. 33 Issue 9, p5430-5445. 16p.

COMPUTER programming edu... EDUCATIONAL outcomes EXPERIENTIAL learning UNIVERSITY faculty STUDENT well-being CONCEPTUAL models
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16

Prutor: An Intelligent Learning and Management System for Programming Courses.
KARKARE, AMEY ; KAR, PURUSHOTTAM
Communications of the ACM. Nov2022, Vol. 65 Issue 11, p62-64. 3p. 2 Color Photographs, 1 Diagram, 1 Graph.

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17

Exploring the complex interplay among middle schoolers’ prior coding experience, computational thinking attitudes and skills: a multiple moderated mediation analysis.
Wang, Qin ; Lu, Chang ; Chen, Fu ; et al.
Journal of Research on Technology in Education. Jul2025, p1-18. 18p. 4 Illustrations.

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18

Evaluation of a new job training program: Code Louisville.
Bollinger, Christopher R. ; Troske, Kenneth R.
Journal of Policy Analysis & Management. Jul2025, p1. 26p. 10 Illustrations.

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19

I2R: Intra and inter-modal representation learning for code search.
Zhang, Xu ; Xiang, Yanzheng ; Liu, Zejie ; et al.
Intelligent Data Analysis. 2024, Vol. 28 Issue 3, p807-823. 17p.

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20

Work in Progress: ESPECIFICA++, a DSL for Developing the Competency of Formal Specification in Computer Programming Education
Sierra-Rodriguez, Jose-Luis ; Gomez-Albarran, Mercedes ; Gonzalez-de-Miguel, Ana-Maria ; et al.
2025 IEEE Engineering Education World Conference (EDUNINE) Engineering Education World Conference (EDUNINE), 2025 IEEE. :1-4 Mar, 2025

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