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Direct linkÜnal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Li-Chen Cheng; Wei Li; Judy C. R. Tseng – Interactive Learning Environments, 2023
Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…
Descriptors: High School Freshmen, High School Seniors, Programming Languages, Foreign Countries
Lachney, Michael; Babbitt, William; Bennett, Audrey; Eglash, Ron – Interactive Learning Environments, 2021
Recent scholarship in computer science (CS) education shifts from a focus on the technical-cognitive skills of "computational thinking" to the socio-cultural goal of "computational participation," often illustrated as remixing popular media (e.g. music, photos, etc.) in online communities. These activities do enhance the…
Descriptors: Computer Science Education, African American Students, Cosmetology, Cultural Capital
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Lui, Debora; Walker, Justice T.; Hanna, Sheri; Kafai, Yasmin B.; Fields, Deborah; Jayathirtha, Gayithri – Interactive Learning Environments, 2020
Portfolios have recently gained traction within computer science education as a way to assess students' computational thinking and practices. Whereas traditional assessments such as exams tend to capture learning within artificial settings at a single point in time, portfolios provide more authentic opportunities to document a trajectory of…
Descriptors: High School Students, Computer Science Education, Textiles Instruction, Portfolios (Background Materials)
Fields, Deborah; Vasudevan, Veena; Kafai, Yasmin B. – Interactive Learning Environments, 2015
We highlight ways to support interest-driven creation of digital media in Scratch, a visual-based programming language and community, within a high school programming workshop. We describe a collaborative approach, the programmers' collective, that builds on social models found in do-it-yourself and open source communities, but with scaffolding…
Descriptors: Programming Languages, Programming, High School Students, Cooperative Learning
Pellas, Nikolaos – Interactive Learning Environments, 2017
The combination of Open Sim and Scratch4OS can be a worthwhile innovation for introductory programming courses, using a Community of Inquiry (CoI) model as a theoretical instructional design framework. This empirical study had a threefold purpose to present: (a) an instructional design framework for the beneficial formalization of a virtual…
Descriptors: Educational Indicators, Communities of Practice, Computer Simulation, High School Students
Chang, Chi-Cheng; Tseng, Kuo-Hung – Interactive Learning Environments, 2011
This study examines the effect of a Web-based portfolio assessment system on the performances of students undertaking project-based learning (PBL). The research targets were 60 students from two grade-8 classes taking senior high school computer courses. The experimental group comprised 30 students, who used the system to perform PBL and…
Descriptors: Portfolios (Background Materials), Experimental Groups, Control Groups, Student Projects
