Design and Development of a Digital Personalized Learning Track: Bridging the Gap Between Textual and Visual Programming
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Abstract
Due to swift technological changes in society, programming tasks are proliferating in formal and informal education around the globe. However, challenges arise regarding the acquisition of programming skills. Many students are unequipped to develop programming skills due to limited instruction or background and therefore feel insecure when encountering programming in higher education. Some after-school initiatives focus on teaching younger students programming skills, however, not all students have the opportunity to attend. It can also be very challenging for teachers to teach programming—even more so due to significant differences in students’ knowledge and interests. To alleviate these challenges, we designed and developed a digital personalized learning (DPL) track for programming in the first grade of secondary education (12–14 year-old students) with a threefold purpose: (a) to encourage students bridging the gap between visual and more general-purpose textual programming languages (b) to meet differences in students’ programming knowledge by challenging them, albeit on their own pace, and subsequently (c) to support teachers in the delivery of programming education with relevant supportive learning materials. The design was tested by students and teachers, both of varying technical abilities. Assessments of the DPL-track were positive, with students identifying the tasks as challenging and the tools as motivating. Teachers praised the adaptivity, as well as the gradual transition from visual to textual programming. We present several suggestions for design improvement and dilemmas while reflecting on our design case.
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Rani Van Schoors, Katholieke Universiteit Leuven
Rani Van Schoors is a postdoctoral researcher in the itec–imec research group and the CIP&T research group at the Katholieke Universiteit (KU) Leuven. Interests include digital personalized learning and artificial intelligence in education.
Sohum Bhatt, Katholieke Universiteit Leuven
Sohum M. Bhatt is a Ph.D. researcher in statistical modeling in the itec - imec research group and Methodology of Educational Sciences research group at the Katholieke Universiteit (KU) Leuven. Interests include user modeling and recommender systems.
Jan Elen, Katholieke Universiteit Leuven
Jan Elen is a full Professor in the CIP&T research group at the Katholieke Universiteit (KU) Leuven. Interest include the design of learning environments for complex learning, such as critical thinking.
Annelies Raes, Katholieke Universiteit Leuven
Annelies Raes is an Assistant Professor in the CIP&T research group at the Katholieke Universiteit (KU) Leuven. Interests include innovative learning models, active learning and problem-based collaborative learning.
Wim Van Den Noortgate , Katholieke Universiteit Leuven
Wim Van den Noorgate is a full Professor in the itec–imec and research group and Methodology of Educational Sciences research group at the Katholieke Universiteit (KU) Leuven. Interests include statistical modeling of clustered data using multilevel models, with a special focus on learning analytics and meta-analyses.
Fien Depaepe, Katholieke Universiteit Leuven
Fien Depaepe is a professor at itec - imec research group and CIP&T research group at the Katholieke Universiteit (KU) Leuven. Interests include instructional design and educational effectiveness of technology-enhanced learning environments.

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