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Showing all 15 results Save | Export
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Rahel Schmid; Robbert Smit; Nicolas Robin; Alexander Strahl – British Journal of Educational Psychology, 2025
Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…
Descriptors: Psychological Patterns, Emotional Response, Learning Processes, Error Patterns
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Yuan-Chen Liu; Tzu-Hua Huang; Chien-Chia Huang – Interactive Learning Environments, 2024
In this study, an interactive programming learning environment was built with two types of error prompt functions: 1) the key prompt and 2) step-by-step prompt. A quasi-experimental study was conducted for five weeks, in which 75 sixth grade students from disadvantaged learning environments in Taipei, Taiwan, were divided into three groups: 1) the…
Descriptors: Programming, Computer Science Education, Cues, Grade 6
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Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
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Chase, Catherine C.; Malkiewich, Laura J.; Lee, Alison; Slater, Stefan; Choi, Ahram; Xing, Chenmu – British Journal of Educational Technology, 2021
It is difficult to motivate learners to seek out and persist at challenging learning tasks where failure is likely. However, in game environments, people seem highly motivated to engage with challenges and respond productively to failure. Many typical game features purportedly enhance intrinsic motivation and self-efficacy, which should improve…
Descriptors: Game Based Learning, Educational Games, Learning Processes, Programming
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Li, Jiansheng; Lin, Yuyu; Sun, Mingzhu; Shadiev, Rustam – Interactive Learning Environments, 2023
This study examined whether socially shared regulation of learning (SSRL) enhances students' algorithmic thinking performance, promotes learning participation and improves students' learning attitudes through game-based collaborative learning. The students learned algorithmic knowledge and completed programing tasks using Kodu, a new visual…
Descriptors: Cooperative Learning, Game Based Learning, Educational Environment, Algorithms
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Hidiroglu, Çaglar Naci – Journal of Pedagogical Research, 2022
This study adopts a holistic single-case design to explain the task design processes of mathematics student teachers (MSTs) regarding History, Theory, Technology, and Modeling (HTTM). A criterion sampling method was used to select nine MSTs who had successfully completed "algorithms and programming" course. Video analyses, written answer…
Descriptors: Mathematics Teachers, Student Teachers, Instructional Design, Mathematics Instruction
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Lavy, Ilana – International Journal of Information and Communication Technology Education, 2021
This article describes a unique ongoing experience of learning programming via engagement in music programming of known melodies. Seventh and eighth graders participated in 10 lessons of weekly activity. Via the programming of melodies, using the Scratch 2.0 environment, they became acquainted with basic concepts of programming such as methods,…
Descriptors: Teaching Methods, Computer Science Education, Programming, Music
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Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
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Saito, Daisuke; Kaieda, Shota; Washizaki, Hironori; Fukazawa, Yoshiaki – Journal of Information Technology Education: Innovations in Practice, 2020
Aim/Purpose: Although many computer science measures have been proposed, visualizing individual students' capabilities is difficult, as those measures often rely on specific tools and methods or are not graded. To solve these problems, we propose a rubric for measuring and visualizing the effects of learning computer programming for elementary…
Descriptors: Scoring Rubrics, Visualization, Learning Analytics, Computer Science Education
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Harlow, Danielle B.; Dwyer, Hilary A.; Hansen, Alexandria K.; Iveland, Ashley O.; Franklin, Diana M. – Cognition and Instruction, 2018
This article integrates an ecological approach and design-based research in computer science education research by following the simultaneous development of a computer programming environment and curriculum for elementary school age children over 2-1/2 years. We studied the alignment of the affordances provided by the programming environment and…
Descriptors: Computer Science Education, Elementary School Students, Programming, Scaffolding (Teaching Technique)
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Okita, Sandra Y. – British Journal of Educational Technology, 2014
This study examined whether developing earlier forms of knowledge in specific learning environments prepares students better for future learning when they are placed in an unfamiliar learning environment. Forty-one students in the fifth and sixth grades learned to program robot movements using abstract concepts of speed, distance and direction.…
Descriptors: Robotics, Electronic Learning, Programming, Learning Processes
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Werner, Linda; McDowell, Charlie; Denner, Jill – Journal of Educational Data Mining, 2013
Educational data mining can miss or misidentify key findings about student learning without a transparent process of analyzing the data. This paper describes the first steps in the process of using low-level logging data to understand how middle school students used Alice, an initial programming environment. We describe the steps that were…
Descriptors: Electronic Learning, Learning Processes, Educational Research, Data Collection
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Liu, Jun; Sha, Sha; Zheng, Qinghua; Zhang, Wei – International Journal of Distance Education Technologies, 2012
Assigning difficulty level indicators to the knowledge units helps the learners plan their learning activities more efficiently. This paper focuses on how to use the topology of a knowledge map to compute and rank the difficulty levels of knowledge units. Firstly, the authors present the hierarchical structure and properties of the knowledge map.…
Descriptors: Foreign Countries, Knowledge Level, Difficulty Level, Educational Technology
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Norton, Stephen J.; McRobbie, Campbell J.; Ginns, Ian S. – Research in Science Education, 2007
Little research has been conducted on how students work when they are required to plan, build and evaluate artefacts in technology rich learning environments such as those supported by tools including flow charts, "Labview" programming and Lego construction. In this study, activity theory was used as an analytic tool to examine the social…
Descriptors: Programming Languages, Flow Charts, Problem Solving, Programming
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection