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The purpose of this paper is to explore the impact of question prompts on student learning in relation to their learning styles. The context of the study is technology‐enhanced learning in an ill‐structured domain.

The study conditions were the same for all the students in the four learning style groups. Student learning style was the independent variable, while students' attitudes and task performance were the dependent variables of the study. Pre‐test treatment post‐test method was used. Students studied in a web‐based learning environment during treatment.

The integration of question prompts as student supporting tool in technology‐enhanced learning environments might not improve learning for all students alike independent of their learning styles.

Small uneven groups because the researcher has no control over the student distribution across the different learning style profiles.

The suggestion for designers is to consider combining prompting with other scaffolding methods, in order to effectively support all students independent of their learning styles.

The paper combines learning in ill‐structured domains through cases and a scaffolding method based on question prompts focusing on contextual elements. The results of the study inform the designers of TELEs that although prompting can be generally helpful, parameters such as the students' learning style are able to limit the cognitive benefit emerging from the prompting intervention.

This study is concerned with the formal assessment of a Distance Learning Environment (DLE) created to deliver a course on UML sequence diagrams to university‐level students, divided into control and treatment groups. An ad‐hoc DLE was constructed to deliver instruction to the treatment group, while the control group was taught in a traditional face‐to‐face way. The main point of concern is whether a DLE can be as effective for the treatment group, as the faceto‐ face lecture is for the control group, in terms of gaining mastery on the domain. So, a controlled experiment was organized and executed, in order to measure the participants’ performance in both groups. The results have shown no statistically significant difference for both groups of students. So, it can be argued that in the context of this experiment and by following a DLE‐design close enough to the traditional face‐to‐face approach, one can obtain equally good results using distance learning as with the traditional system. However, a number of concerns remain and more work is needed to generalize the results of this work on other domains.