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Introduction: Media comparison studies examining the effectiveness of immersive virtual reality in education have yielded inconclusive findings, leaving the question of its impact on learning compared to conventional media unanswered. To address this issue, our study employs a novel approach that combines media comparison with an investigation on the influence of broader educational context. Methods: In the experiment, 262 students from two distinct types of lower secondary schools—comprehensive school and multi‐year gymnasium (a selective academic school)—participated. The students received a lesson on topography and contour line interpretation, using either an immersive virtual environment or a PowerPoint slideshow. A transfer test was carried out before, immediately after, and 1 month after the lesson to measure knowledge application. Results: The impact of the media (immersive virtual reality vs. PowerPoint slideshow) on learning outcomes was found to be minimal, with no clear advantage of one over the other in any experimental condition. In contrast, a significant influence on learning gains was observed due to school type. Multi‐year gymnasium students consistently outperformed comprehensive school students in the pre‐test and demonstrated greater learning gains, regardless of the learning media. Conclusion: The present study employs an innovative approach by integrating a comparative analysis of different media types with an investigation into the impact of learner characteristics. By including students from distinct types of schools, the study provides insights into the differential effects of immersive virtual reality in varied educational contexts. Lay Description: What is already known about this topic: Media comparison studies typically assess the effectiveness of immersive virtual reality as a learning medium in comparison to other instructional methods in education.The findings of these studies differ markedly.Numerous factors impact learning outcomes in an immersive virtual environment. What this paper adds: Recommendation that research in the field should explore not only if but also when and how IVR learning is effective.Evidence that learning achievements may not be affected by the medium used.Evidence that the type of school can significantly influence learning gains.Evidence that cognitive dispositions, such as spatial abilities, can be another factor that influence learning outcomes. Implications for practice: A technology‐centred approach alone does not allow for a proper evaluation of the learning gain potential of IVR, learner characteristics and broader educational context should also be taken into account.IVR as a learning medium may not be appropriate for all students and every educational setting.To ensure reliable evaluation of learning gains, it is necessary to align the content and format of the intervention in both learning mediums as closely as possible.Measuring learning gains not only immediately after the intervention but also with a significant time delay can contribute to a more comprehensive understanding. [ABSTRACT FROM AUTHOR]

Background: Skill integration is vital in students' mastery development and is especially prominent in developing code tracing skills which are foundational to programming, an increasingly important area in the current STEM education. However, instructional design to support skill integration in learning technologies has been limited. Objectives: The current work presents the development and empirical evaluation of instructional design targeting students' difficulties in code tracing particularly in integrating component skills in the Trace Table Tutor (T3), an intelligent tutoring system. Methods: Beyond the instructional features of active learning, step‐level support, and individualized problem selection of intelligent tutoring systems (ITS), the instructional design of T3 (e.g., hints, problem types, problem selection) was optimized to target skill integration based on a domain model where integrative skills were represented as combinations of component skills. We conducted an experimental study in a university‐level introductory Python programming course and obtained three findings. Results and Conclusions: First, the instructional features of the ITS technology support effective learning of code tracing, as evidenced by significant learning gains (medium‐to‐large effect sizes). Second, performance data supports the existence of integrative skills beyond component skills. Third, an instructional design focused on integrative skills yields learning benefits beyond a design without such focus, such as improving performance efficiency (medium‐to‐large effect sizes). Major Takeaways: Our work demonstrates the value of designing for skill integration in learning technologies and the effectiveness of the ITS technology for computing education, as well as provides general implications for designing learning technologies to foster robust learning. Lay Description: What is currently known about the subject matter?: Skill integration is vital in students' mastery development, and is especially prominent in developing coding tracing skills.Coding tracing skills are foundational to programming, an increasingly important area in the current STEM education, yet many novice students struggle with code tracing.Instructional design to support skill integration in learning technologies has been limited.One of the most effective technologies for skill mastery, intelligent tutoring systems (ITS), is underused or only used in a partial form in programming education. What our paper adds to this?: We present the development and empirical evaluation of instructional design targeting students' difficulties in code tracing particularly in integrating component skills in an ITS, the Trace Table Tutor.The instructional features of the ITS technology (e.g., active learning, step‐level support, individualized problem selection) support effective learning of code tracing.Students' performance data supports the existence of integrative skills beyond component skills.An instructional design that provides deliberate practice and focused practice on integrative skills yields learning benefits beyond a design without such features. The implications of study findings for practitioners: Designing for skill integration is valuable and should receive more attention in designing learning technologies to foster robust learning.The instructional features of full‐scale ITSs are effective in supporting learning and merit further application in learning technologies in computing education. [ABSTRACT FROM AUTHOR]

Online search involves multitasking and may demand better working‐memory capacities (WMC) and additional cognitive aids. Given the constraints of human cognition, we tested the effectiveness of note‐taking strategies on university students' online search performance. Also examined were the profile configurations of WMC tests in silence and in irrelevant speech as well as its interaction effects with note‐taking strategies on online search performance. Among the participants of 60 university students, we found a four‐group WMC profile composition that differed significantly across WMC scores in both silence and irrelevant speech. Results showed that WMC profiles, note‐taking groups and their interaction effect were significant factors on online search performance. Both Free Note and Matrix Note were beneficial for the students in low silent WMC profile groups. Study results have both theoretical and practical implications, advancing our understanding of the interrelationship of WMC under different conditions and informing instructional practice of online search performance. Lay Description: What is already known about this topicWorking memory capacity is fundamental to multitasking ability.Online search is a typical multitasking behavior that requires constant switching between different information sources.Students who take note perform better than those who do not while reading materials with seductive but irrelevant information.What this paper addsStudents working memory capacity is examined under silent and irrelevant speech conditions.Students exhibited different profile patterns in their working memory capacity under silent and irrelevant speech conditions.Taking note, either in matrix form or free form, can significantly improve students' online search performance for those with high WMC ONLY in irrelevant speech or for those with low WMC in both silent and irrelevant speech conditions.Implications for practiceNote‐taking as auxiliary support may facilitate students' integration and evaluation of the online information across multiple sources during their online search.Instructions on how to self‐construct matrix note are needed to help students develop advanced note‐taking skills for their learning involving online search. [ABSTRACT FROM AUTHOR]