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YungYu Zhuang; Yu-Hsuan Lin; Mahesh Liyanawatta; Andito Haryo Saputro; Yuniati Dwi Utami; Jen-Hang Wang – Interactive Learning Environments, 2024
Computer programming is essential nowadays but still challenging to learn due to its invisible thinking. Current programming environments are mostly designed for operating on computers directly to learn concrete programming, but this approach lacks the support for clarifying learners' thinking processes. On the other hand, using paper and pens…
Descriptors: Educational Environment, Thinking Skills, Programming, Computer Science Education
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
Zatarain Cabada, Ramón; Barrón Estrada, María Lucía; Ríos Félix, José Mario; Alor Hernández, Giner – Interactive Learning Environments, 2020
Emotions play an important role in students learning to master complex intellectual activities such as computer programing. Emotions such as confusion, boredom and frustration in the student are important factors in determining whether the student will master the exercise of learning to program in the short and long term. Motivation also plays an…
Descriptors: Programming, Game Based Learning, Emotional Response, Psychological Patterns
Uysal, Murat Pasa – Interactive Learning Environments, 2016
Various methods and tools have been proposed to overcome the learning obstacles for Object-Oriented Programming (OOP). However, it remains difficult especially for novice learners. The problem may be not only adopting an instructional method, but also an Integrated Development Environment (IDE). Learners employ IDEs as a means to solve programming…
Descriptors: Evaluation, Educational Environment, Cognitive Processes, Difficulty Level

Miller, Philip; And Others – Interactive Learning Environments, 1994
Describes three projects at Carnegie Mellon University (Pennsylvania) that developed novice programming environments based on structure editors: GNOME, MacGNOME and ACSE (Advanced Computing for Science Education). Tracks the evolution of the programming environments and courses, documenting important lessons and discoveries about novice…
Descriptors: Computer Science Education, Computer Uses in Education, Educational Environment, Higher Education

Swan, Karen; Black, John B. – Interactive Learning Environments, 1993
Discussion of computer programming and knowledge-based instruction focuses on three studies of elementary and secondary school students which show that five particular problem-solving strategies can be developed in students explicitly taught the strategies and given practice applying them to solve LOGO programming problems. (Contains 53…
Descriptors: Analogy, Computer Assisted Instruction, Educational Environment, Elementary Secondary Education
Chen, Weiqin; Pedersen, Roger Heggernes; Pettersen, Oystein – Interactive Learning Environments, 2006
This paper presents the design, implementation, and evaluation of a distributed collaborative UML modelling environment, CoLeMo. CoLeMo is designed for students studying UML modelling. It can also be used as a platform for collaborative design of software. We conducted formative evaluations and a summative evaluation to improve the environment and…
Descriptors: Summative Evaluation, Formative Evaluation, Program Evaluation, Program Design

Bhuiyan, Shawkat; And Others – Interactive Learning Environments, 1994
Presents the PETAL (Programming Environment Tool) learning environment, and discusses a study where one group of students used PETAL and another used a standard LISP environment to learn recursion. The PETAL group performed better during the learning period and on a written posttest. Theorizes why PETAL may be responsible for improved learning of…
Descriptors: Computer Science Education, Computer Uses in Education, Educational Environment, Higher Education
Kaczmarek, Jerzy; Landowska, Agnieszka – Interactive Learning Environments, 2006
In this article, an extension of the existing structure of learning objects is described. The solution addresses the problem of the access and discovery of educational resources in the distributed Internet environment. An overview of e-learning standards, reference models, and problems with educational resources delivery is presented. The paper…
Descriptors: Internet, Educational Resources, Distance Education, Educational Environment

Schwarz, Baruch; Dreyfus, Tommy – Interactive Learning Environments, 1993
Describes a study which measured how ninth-grade students integrated information about mathematical concepts when working with Triple Representation Model software. Tables, graphs, and algebraic functions were linked, allowing students to manipulate several representations of the same concept. Examples of mathematical problems and student case…
Descriptors: Algebra, Authoring Aids (Programming), Case Studies, Cognitive Processes