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Background: Morphological awareness (MA) is the awareness and ability to manipulate morphemes, the smallest units of meaning in a language. It is identified as a strong cognitive precursor of word reading and reading comprehension. The current MA instructions are limited to classroom settings and delivered by teachers or experimenters. Few studies have included technology and its novel features to deliver MA instructions. Objectives: This study proposes a gamified learning approach embedded with self‐regulated learning support for MA learning and examines its effects on improving English reading performance and intrinsic motivation among junior secondary grade students who learn English as a foreign language. Methods: This study adopted a randomized controlled trial design. Participants (N = 104) were randomly assigned into one of three conditions: self‐regulated gamified programme, gamified programme, or non‐gamified programme. Students received 16 sessions of instructions (30 min/session) and were evaluated on reading abilities (i.e., MA, word reading and reading comprehension) and intrinsic motivation before and after the programme implementation. Results and conclusions: Results from repeated measures ANOVA and follow‐up ANCOVA showed that while the two gamified groups demonstrated greater improvement in MA (i.e., near transfer effect) and intrinsic motivation than non‐gamified group, only the self‐regulated gamified group showed more gains in multisyllabic word reading (i.e., far transfer effect) than non‐gamified group. There was no significant time X group interaction effect on reading comprehension. Implications: Taken together, this research suggests gamification leads to better morphology learning and increases students' intrinsic motivation. The incorporation of self‐regulated learning in gamification is recommended to achieve the far transfer effect on multisyllabic word reading. Lay Description: What is already known about this topic: Morphological awareness is an important reading‐related skill that predicts students' word reading and reading comprehension. However, existing morphological awareness instructions are mostly delivered by teachers or experimenters.Gamification, which is emerging as an effective approach that enhances learning and motivation, has not yet been widely applied to improve students' reading‐related skills, such as morphological awareness.Gamification is usually implemented in online learning environments where students' self‐regulated learning critically affects their online learning performance. However, few studies have provided self‐regulated learning support in a gamified learning environment. What this paper adds: We proposed a self‐regulated gamified approach specifically targeting morphological awareness and compared its effectiveness with gamified learning and non‐gamified learning.The two gamified groups led to significant gain in students' morphological awareness and intrinsic motivation than the non‐gamified group.Only the self‐regulated gamified group led to significant gain in multisyllabic word reading than the non‐gamified group. Implications for practice and/or policy: The self‐regulated gamified approach represents an effective way for learning morphological awareness. [ABSTRACT FROM AUTHOR]

Background: Though pedagogical artificial agents are expected to play a crucial role in the years to come, earlier studies provide inconsistent results regarding their effect on learning. This might be because their potential for exhibiting subtle nonverbal behaviours we know from human teachers has been untapped. What is more, there is little evidence of the processes underlying the effect of nonverbal behaviours of teachers (either human or artificial) on learning, so as to better guide their practical application. Objectives: The aims of the current research were threefold: firstly, to examine the effect of an artificial agent's vocal expressiveness on non‐verbal immediacy (teachers' ability to increase psychological closeness through nonverbal communication). Secondly, to test whether an artificial agent showing strong vocal expressiveness will enhance affective and cognitive learning (perceived and actual), as compared to an artificial agent that shows weak vocal expressiveness. Thirdly, to examine whether the underlying mechanisms of motivation and attention explain the effect of immediacy (and thereby also of vocal expressiveness) on the two learning outcomes. Methods: The study used a between‐participants design, with the participants being randomly assigned to one of the two experimental conditions: artificial modelling with strong expressiveness and artificial modelling with weak vocal expressiveness. Results and conclusions: Results showed that an artificial agent with strong vocal expressiveness increased affective and perceived cognitive learning. Partial support was found for actual cognitive learning. What is more, our findings revealed that vocal expressiveness is related to affective and perceived cognitive learning because it promotes nonverbal immediacy. Finally, results provided evidence of motivation as a mediator of the path from immediacy to affective learning. Major takeaways: The current findings verify the important role of nonverbal immediacy found in traditional educational settings. However, showing that these results also apply to artificial teachers is essential, given that the educational landscape is changing and reshaping by artificial intelligence. Thus, taking into consideration the role of vocal expressiveness in the development of artificial teachers or voice assistants like Alexa, Siri, and Google assistant, as a way to enhance immediacy and affective experience of learners is of imperative value, since they will be found more and more in our societies. Lay Description: What is currently known about the subject matter: There is a positive effect of nonverbal cues of human teachers on students' learningThe artificial agent's voice is important for learning. What their paper adds to this: Provides strong evidence of the positive effect of vocal expressiveness of artificial agents on learning outcomes.Reveals that vocal expressiveness is related to learning outcomes because it enhances immediacy.Examines the proposed mechanisms of motivation and attention as mediators of the path from immediacy to affective and cognitive learning. Implications of study findings for practitioners: Taking into consideration vocal expressiveness of artificial agents during the design process is essential for increased learning.The combination of the vocal parameters of pitch and speech rate is effective for constructing vocal expressiveness.By showing the underlying mechanisms of artificial agents' nonverbal cues (i.e., vocal cues) on learning, it helps designers to make a better decisions during construction.The study's findings are also pertinent for human teachers in improving students' learning in traditional educational settings. [ABSTRACT FROM AUTHOR]

Context Learning complex procedural skills, such as bronchoscopy, through simulation training, imposes a high cognitive load on novices. Example-based learning has been shown to be an effective way to reduce cognitive load and enhance learning outcomes. Prior research has shown that modelling examples, in which a human model demonstrates the skill to a learner, were effective for learning basic surgical skills. However, principles derived from simple skills training do not necessarily generalise to more complex skills. Therefore, the present study examined the effectiveness of integrating modelling examples into simulation training for a more complex procedural skill - bronchoscopy. Moreover, this study extended previous simulation studies by using a physical demonstration rather than video-based modelling examples. Methods Forty-eight medical students were randomised into a modelling group and a control group. They all practised on eight bronchoscopy simulation cases individually, followed by standardised feedback from an instructor. Additionally, the modelling group watched three modelling examples of the simulated bronchoscopy, performed by the instructor. These modelling examples were interspersed between cases. Assessments were carried out at pre-, post- and 3-week retention tests with simulator-measured performance metrics. The primary outcome measure was the percentage of segments entered/minute. Other measures were wall collisions, red-out, the percentage of segments entered and the time to completion. Group differences were examined using repeated measures analysis of variance ( anova). Results A clear learning curve was observed for both groups, but as hypothesised, the modelling group outperformed the control group on all parameters except the percentage of segments entered on the post-test and retained this superiority at the retention test. For the primary outcome measure, the percentage of segments entered/minute, the modelling group achieved a 46% higher score at the post-test and a 43% higher score at the retention test. Conclusions The present study shows, that integrating modelling examples into the curriculum of bronchoscopy simulation training optimises the role of the instructor and enhances novices' learning outcomes, presumably by optimising cognitive load during training. [ABSTRACT FROM AUTHOR]