This study investigated the effects of concept-oriented faded in worked-out examples (WOE) and metacognitive scaffolding on learners' transfer performance and motivation in programming education. Two types of faded in WOE and metacognitive scaffolding were provided. A total of 140 participants were randomly assigned into one of four groups, with…

The metaphors used by teachers to explain the nature of student learning and student difficulty can reveal a great deal about how teachers conceive the teaching and learning process. This is an important area of research as it can shed light on how they see their role in the learning process and how they should intervene to assist students in…

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…

As technology-enhanced children's learning has gained wide attention, programmable robots have been gradually introduced in early childhood education. Hence, it would be valuable to understand how young children perceive robot programming learning. Draw-a-picture technique is an ideal method to elicit ideas, thoughts, and feelings for children…

Programming skills are increasingly important to the current digital economy, yet these skills have long been regarded as challenging to acquire. A central challenge in learning programming skills involves the simultaneous use of multiple component skills. This article investigates why students struggle with integrating component skills--a…

This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic…

Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…

In the Winter semester of 2020 during a multimedia design and production class for pre-service teachers, the students were introduced to basic computer coding concepts such as variables, conditional statements, various expressions, logic, and syntax. For their final project, the students were asked to create an interactive instructional app using…

Teaching the concepts of expert systems to accounting students is often challenging, not only because these students are not equipped with the necessary technical knowledge to comprehend the concepts taught, but also due to the other various constraints (e.g., limited teaching hours and a diverse background of the students' undergraduate…

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,…

Although Machine Learning (ML) is used already in our daily lives, few are familiar with the technology. This poses new challenges for students to understand ML, its potential, and limitations as well as to empower them to become creators of intelligent solutions. To effectively guide the learning of ML, this article proposes a scoring rubric for…

Presentation documents have been increasingly used not only as supplementary presentation materials but also as contents for investigative learning. In learning a presentation document, learners generally need to select a number of slides from the document, which describe what they want to learn or should learn. However, it is not so easy to find…

Synergistic learning combining computational thinking (CT) and STEM has proven to be an effective method for advancing learning and understanding in a number of STEM domains and simultaneously helping students develop important CT concepts and practices. We adopt a design-based approach to develop, evaluate, and refine our Collaborative,…

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…

Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…