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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]

Retrieval practice promotes retention more than restudying (i.e., the testing effect) and is applied to many educational settings. However, little research has investigated means to enhance this effect in educational settings. Theoretical accounts assume retrieval practice to be the most effective whenever retrieval is difficult but successful. Therefore, we developed a novel retrieval practice procedure, which adapts to learners' abilities and can be applied irrespective of learning content. This adaptive procedure aims to make retrieval gradually easier whenever students provide an incorrect answer. In a field experiment, students read book chapters as part of a weekly university course. In three consecutive weeks, they then practiced reading assignments by (a) adaptive testing, (b) non‐adaptive testing and (c) restudy. In Week 4, a surprise criterial test took place. Restudy outperformed both testing conditions, whereas adaptive testing performed equally well as non‐adaptive testing. However, exploratory analyses revealed that with increasing retention intervals, the superiority of restudy disappeared. Furthermore, whenever participants fully read the assignments and retention intervals increased, adaptive testing outperformed non‐adaptive testing. In sum, adaptive retrieval practice did not prove to be generally superior, but retention interval and students' preparation for class might be conditions rendering adaptive retrieval useful in educational settings. Lay Description: What is already known about this topic: Testing is a commonly used technique to assess progress in computer‐assisted learning environmentsStudents often benefit from the testing effect, that is practicing retrieval of information (testing) from memory benefits long‐term retention compared to restudyingCurrently, empirical evidence how to enhance the benefits of this technique in educational contexts is scarce What this paper adds: We propose a new approach to increase the benefit of the testing effect: For each question in retrieval practice the individual ability to retrieve this information from memory is consideredTo do so, cue informativeness of retrieval cues adapts to the individual ability level and thus makes the tests cognitively effortful but solvableThis adaptive approach is put to test in a higher education context and by using multiple‐choice questionsIn sum, adaptive retrieval practice did not prove to be generally superior to non‐adaptive retrieval practice or restudy However, retention interval and students' preparation for class might be conditions rendering adaptive retrieval useful in educational settings Implications for practice and/or policy: Findings can be implemented in educational contexts when multiple‐choice questions are used to enhance learningLearning can be optimized in computer‐assisted learning environments that allow adaptive testingWe advise adaptive retrieval only when students are well prepared for practice and when time between practice and final assessment exceeds two weeks [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]

Emotions are critical to learning. However, the function of emotions in the emerging context of massive open online courses (MOOCs) has been under‐researched. The present study complemented this line of research by modelling the relation between learner emotions, engagement with videos, engagement with assignments, and self‐perceived achievement in a small private online course—a localized instance of an extended MOOC. The results suggested that whereas enjoyment, excitement, boredom, and annoyance were all significant predictors of video engagement, only excitement and annoyance were significant predictors of assignment engagement. Excitement, in particular, was the strongest or stronger predictor of both types of engagement. In addition, both types of engagement predicted self‐perceived achievement, but video engagement predicted self‐perceived achievement via the mediation of assignment engagement. Implications for designing more effective MOOCs were proposed. Lay Description: What is currently known about the subject Emotions predict engagement in learning settings other than MOOCs.Engagement predicts achievement in learning settings including MOOCs.Assignment engagement predicts achievement in MOOCs better than video engagement. What this paper adds The two types of engagement are predicted by different sets of emotions.Engagement predicts self‐perceived achievement in the SPOC.Video engagement predicts self‐perceived achievement via the mediation of assignment engagement.The majority of systematic reviews did not evaluate the quality of the primary papers which they examined. Implications for practitioners MOOC researchers should pay more attention to the design of assignments.MOOC developers should try to build more emotionally‐sound courses and platforms. [ABSTRACT FROM AUTHOR]

Abstract: The aim of this paper is to provide insights into differences between pre‐service teachers based on the areas of technological pedagogical content knowledge (TPACK) and the areas of theory of planned behaviour (TPB) in the context of using information and communication technology in education. The target group consisted of 267 first‐year pre‐service teachers at 3 Finnish universities. Differences between pre‐service teachers were outlined using cluster analysis based on their knowledge of different TPACK areas (the respondents' weak and strong areas). To see how the TPB areas aligned with the 4 TPACK clusters, 1‐way analysis of variance was used. Statistically significant differences between the 4 clusters were found in all the TPB areas except subjective norms. These results provide insights into the differences among pre‐service teachers in the context of TPACK and the TPB. They also suggest that instead of considering pre‐service teachers as one homogenous group, we need to understand the variations among their abilities and knowledge in order to be able to provide them with support they need within teacher education. [ABSTRACT FROM AUTHOR]