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Stanja, Judith; Gritz, Wolfgang; Krugel, Johannes; Hoppe, Anett; Dannemann, Sarah – British Journal of Educational Technology, 2023
Formative assessment is considered to be helpful in students' learning support and teaching design. Following Aufschnaiter's and Alonzo's framework, formative assessment practices of teachers can be subdivided into three practices: eliciting evidence, interpreting evidence and responding. Since students' conceptions are judged to be important for…
Descriptors: Formative Evaluation, Student Attitudes, Learning Analytics, Student Evaluation
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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Almabrok Musa Almdahem – International Journal of Computer Science Education in Schools, 2024
A national curriculum for the study of computing became compulsory in English secondary schools in September 2014, replacing the study of information and communications technology with computer science (CS). This posed difficulties for teachers and students who did not have knowledge or experience of programming. This study was designed to…
Descriptors: Secondary School Students, Computer Science Education, Programming, Student Attitudes
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Jinbo Tan; Lei Wu; Shanshan Ma – British Journal of Educational Technology, 2024
The purpose of this study was to investigate the collaborative dialogue patterns of pair programming and their impact on programming self-efficacy and coding performance for both slow- and fast-paced students. Forty-six postgraduate students participated in the study. The students were asked to solve programming problems in pairs; those pairs'…
Descriptors: Coding, Programming, Computer Science Education, Self Efficacy
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Chih-Ming Chen; Ming-Yan Huang – International Journal of STEM Education, 2024
Background: Computational thinking (CT) is crucial to fostering critical thinking and problem-solving skills. Many elementary schools have been cultivating students' CT through block-based programming languages such as Scratch using traditional teacher-centered teaching methods. However, the approach excessively relies on teacher lectures, so the…
Descriptors: Computation, Thinking Skills, Programming, Learning Processes
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Barua, Antara Mahanta; Bharali, Sruti Sruba – Asian Association of Open Universities Journal, 2023
Purpose: The purpose of the case study is to investigate the perception of computer science learners at Krishna Kanta Handiqui State Open University (KKHSOU) regarding the use of gamification and to identify the challenges in implementing gamified teaching-learning processes in open and distance learning (ODL) institutions.…
Descriptors: Gamification, Electronic Learning, Computer Science Education, College Students
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David Roldan-Alvarez; Francisco J. Mesa – IEEE Transactions on Education, 2024
Artificial intelligence (AI) in programming teaching is something that still has to be explored, since in this area assessment tools that allow grading the students work are the most common ones, but there are not many tools aimed toward providing feedback to the students in the process of creating their program. In this work a small sized…
Descriptors: Intelligent Tutoring Systems, Grading, Artificial Intelligence, Feedback (Response)
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Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
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Paola Iannone; Athina Thoma – International Journal of Mathematical Education in Science and Technology, 2024
Programming is becoming increasingly common in mathematics degrees as it is a desirable skill for new graduates. However, research shows that its use is mostly restricted to computational or modelling tasks. This paper reports a study on students' perceptions of and difficulties with Lean, an interactive theorem prover introduced as part of a…
Descriptors: Programming, Mathematics Instruction, Computer Science Education, Student Attitudes
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Amaya, Edna Johanna Chaparro; Restrepo-Calle, Felipe; Ramírez-Echeverry, Jhon J. – Journal of Information Technology Education: Research, 2023
Aim/Purpose: This article proposes a framework based on a sequential explanatory mixed-methods design in the learning analytics domain to enhance the models used to support the success of the learning process and the learner. The framework consists of three main phases: (1) quantitative data analysis; (2) qualitative data analysis; and (3)…
Descriptors: Learning Analytics, Guidelines, Student Attitudes, Learning Processes
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Baichang Zhong; Xiaofan Liu; Shuiyan Huang – Technology, Pedagogy and Education, 2025
While pair learning (PL) is considered a potential method in STEM education including robotics education (RE), the question of how to pair students for superior learning effects remains. Current grouping strategies for PL in RE are constrained by fixed grouping (FG) and short of attention to dynamic grouping (DG). Therefore, this study aims to…
Descriptors: Robotics, Cooperative Learning, Comparative Analysis, Computer Science Education
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Vasa Buraphadeja; Vilasinee Srisarkun – Discover Education, 2024
This study investigates the implementation and impact of mastery learning in a computer science course, particularly during the transition from traditional teaching methods to mastery learning amidst the COVID-19 pandemic. Employing a longitudinal research methodology, the study integrates a multi-faceted data collection approach, including…
Descriptors: Mastery Learning, COVID-19, Pandemics, Teaching Methods
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Arjan J. F. Kok; Lex Bijlsma; Cornelis Huizing; Ruurd Kuiper; Harrie Passier – Informatics in Education, 2024
This paper presents the first experiences of the use of an online open-source repository with programming exercises. The repository is independent of any specific teaching approach. Students can search for and select an exercise that trains the programming concepts that they want to train and that only uses the programming concepts they already…
Descriptors: Programming Languages, Computer Science Education, Open Source Technology, Teaching Methods
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Menon, Pratibha – Information Systems Education Journal, 2022
The autonomy and flexibility that online learning contents provide students in a traditional face-to-face course require them to pick up newer strategies for regulating their learning process. This study focuses on identifying how students' self-reported traits of self-regulated learning may relate to the task value of the learning contents of an…
Descriptors: Learning Strategies, Programming, Computer Science Education, Metacognition
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Chou, Te-Lien; Tang, Kai-Yu; Tsai, Chin-Chung – Journal of Educational Computing Research, 2021
Programming learning has become an essential literacy for computer science (CS) and non-CS students in the digital age. Researchers have addressed that students' conceptions of learning influence their approaches to learning, and thus impact their learning outcomes. Therefore, we aimed to uncover students' conceptions of programming learning…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Attitudes
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