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Professional development programs are based on different theories of how students learn and different theories of how teachers learn. Reviewers often sort programs according to design features such as program duration, intensity, or the use of specific techniques such as coaches or online lessons, but these categories do not illuminate the programs' underlying purpose or premises about teaching and teacher learning. This review sorts programs according to their underlying theories of action, which include (a) a main idea that teachers should learn and (b) a strategy for helping teachers enact that idea within their own ongoing systems of practice. Using rigorous research design standards, the review identifies 28 studies. Because studies differ in multiple ways, the review presents program effects graphically rather than statistically. Visual patterns suggest that many popular design features are not associated with program effectiveness. Furthermore, different main ideas are not differentially effective. However, the pedagogies used to facilitate enactment differ in their effectiveness. Finally, the review addresses the question of research design for studies of professional development and suggests that some widely favored research designs might adversely affect study outcomes.

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with traditional data sources and methodologies. This synthetic review describes the affordances and applications of microlevel (e.g., clickstream data), mesolevel (e.g., text data), and macrolevel (e.g., institutional data) big data. For instance, clickstream data are often used to operationalize and understand knowledge, cognitive strategies, and behavioral processes in order to personalize and enhance instruction and learning. Corpora of student writing are often analyzed with natural language processing techniques to relate linguistic features to cognitive, social, behavioral, and affective processes. Institutional data are often used to improve student and administrational decision making through course guidance systems and early-warning systems. Furthermore, this chapter outlines current challenges of accessing, analyzing, and using big data. Such challenges include balancing data privacy and protection with data sharing and research, training researchers in educational data science methodologies, and navigating the tensions between explanation and prediction. We argue that addressing these challenges is worthwhile given the potential benefits of mining big data in education.

Gamification refers to using game attributes in a non-gaming context. Health professions educators increasingly turn to gamification to optimize students’ learning outcomes. However, little is known about the concept of gamification and its possible working mechanisms. This review focused on empirical evidence for the effectiveness of gamification approaches and theoretical rationales for applying the chosen game attributes. We systematically searched multiple databases, and included all empirical studies evaluating the use of game attributes in health professions education. Of 5044 articles initially identified, 44 met the inclusion criteria. Negative outcomes for using gamification were not reported. Almost all studies included assessment attributes (n = 40), mostly in combination with conflict/challenge attributes (n = 27). Eight studies revealed that this specific combination had increased the use of the learning material, sometimes leading to improved learning outcomes. A relatively small number of studies was performed to explain mechanisms underlying the use of game attributes (n = 7). Our findings suggest that it is possible to improve learning outcomes in health professions education by using gamification, especially when employing game attributes that improve learning behaviours and attitudes towards learning. However, most studies lacked well-defined control groups and did not apply and/or report theory to understand underlying processes. Future research should clarify mechanisms underlying gamified educational interventions and explore theories that could explain the effects of these interventions on learning outcomes, using well-defined control groups, in a longitudinal way. In doing so, we can build on existing theories and gain a practical and comprehensive understanding of how to select the right game elements for the right educational context and the right type of student.

Simulation-based learning offers a wide range of opportunities to practice complex skills in higher education and to implement different types of scaffolding to facilitate effective learning. This meta-analysis includes 145 empirical studies and investigates the effectiveness of different scaffolding types and technology in simulation-based learning environments to facilitate complex skills. The simulations had a large positive overall effect: g = 0.85, SE = 0.08; CIs [0.69, 1.02]. Technology use and scaffolding had positive effects on learning. Learners with high prior knowledge benefited more from reflection phases; learners with low prior knowledge learned better when supported by examples. Findings were robust across different higher education domains (e.g., medical and teacher education, management). We conclude that (1) simulations are among the most effective means to facilitate learning of complex skills across domains and (2) different scaffolding types can facilitate simulation-based learning during different phases of the development of knowledge and skills. (ZPID).

Universities around the world are incorporating online learning, often relying on videos (asynchronous multimedia). We systematically reviewed the effects of video on learning in higher education. We searched five databases using 27 keywords to find randomized trials that measured the learning effects of video among college students. We conducted full-text screening, data extraction, and risk of bias in duplicate. We calculated pooled effect sizes using multilevel random-effects meta-analysis. Searches retrieved 9,677 unique records. After screening 329 full texts, 105 met inclusion criteria, with a pooled sample of 7,776 students. Swapping video for existing teaching methods led to small improvements in student learning (g = 0.28). Adding video to existing teaching led to strong learning benefits (g = 0.80). Although results may be subject to some experimental and publication biases, they suggest that videos are unlikely to be detrimental and usually improve student learning.

Personalized education—the systematic adaptation of instruction to individual learners—has been a long-striven goal. We review research on personalized education that has been conducted in the laboratory, in the classroom, and in digital learning environments. Across all learning environments, we find that personalization is most successful when relevant learner characteristics are measured repeatedly during the learning process and when these data are used to adapt instruction in a systematic way. Building on these observations, we propose a novel, dynamic framework of personalization that conceptualizes learners as dynamic entities that change during and in interaction with the instructional process. As these dynamics manifest on different timescales, so do the opportunities for instructional adaptations—ranging from setting appropriate learning goals at the macroscale to reacting to affective-motivational fluctuations at the microscale. We argue that instructional design needs to take these dynamics into account in order to adapt to a specific learner at a specific point in time. Finally, we provide some examples of successful, dynamic adaptations and discuss future directions that arise from a dynamic conceptualization of personalization.

When learning a new concept, should students engage in problem solving followed by instruction (PS-I) or instruction followed by problem solving (I-PS)? Noting that there is a passionate debate about the design of initial learning, we report evidence from a meta-analysis of 53 studies with 166 comparisons that compared PS-I with I-PS design. Our results showed a significant, moderate effect in favor of PS-I (Hedge's g 0.36 [95% confidence interval 0.20; 0.51]). The effects were even stronger (Hedge's g ranging between 0.37 and 0.58) when PS-I was implemented with high fidelity to the principles of Productive Failure (PF), a subset variant of PS-I design. Students' grade level, intervention time span, and its (quasi-)experimental nature contributed to the efficacy of PS-I over I-PS designs. Contrasting trends were, however, observed for younger age learners (second to fifth graders) and for the learning of domain-general skills, for which effect sizes favored I-PS. Overall, an estimation of true effect sizes after accounting for publication bias suggested a strong effect sizefavoring PS-I (Hedge's g 0.87).

One of the important aspects of improving the effectiveness of training qualified divers is understanding the peculiarities of body component composition and the state of microcirculation. The aim of this study was to investigate the component body composition and microcirculation peculiarities of qualified divers diving from different types of gymnastic equipment. The study sample included 30 qualified divers, consisting of 17 girls and 13 boys aged 13 to 18 years. Body composition was assessed using bioimpedance analysis, and the functional state of the microcirculatory system was evaluated through laser Doppler flowmetry. The results indicated that divers who utilized the 10-meter tower exhibited a statistically significant decrease in adipose tissue content and an increase in fat-free mass and relative muscle mass compared to athletes in other diving disciplines. Additionally, a high level of tissue perfusion and microvascular reactivity was observed among the athletes. These findings are crucial for assessing and enhancing the training effectiveness of qualified diving athletes.

Research has consistently shown that inquiry-based learning can be more effective than other, more expository instructional approaches as long as students are supported adequately. But what type of guidance is adequate, and for whom? These questions are difficult to answer as most previous research has only focused on one type of guidance and one type of learner. This meta-analysis therefore synthesized the results of 72 studies to compare the effectiveness of different types of guidance for different age categories. Results showed facilitative overall effects of guidance on learning activities (d = 0.66, 95% CI [0.44, 0.88]), performance success (d = 0.71, 95% CI [0.52, 0.90]), and learning outcomes (d = 0.50, 95% CI [0.37, 0.62]). Type of guidance moderated the effects on performance success but not on the other two outcome measures. Considerable variation was found in the effects of guidance on learning activities, but the relatively low number of studies do not allow for any definitive conclusion on possible agerelated differences.

Researchers recognize adaptive teaching as a component of effective instruction. Educators adjust their teaching according to the social, linguistic, cultural, and instructional needs of their students. While there is consensus that effective teachers are adaptive, there is no consensus on the language to describe this phenomenon. Diverse terminology surrounding the same phenomenon impedes effective communication and comprehensive understanding of this important aspect of classroom instruction. Moreover, researchers have studied this phenomenon using a variety of methods, in various disciplines, with different results. Therefore, our research team completed a comprehensive literature review of the empirical research studying adaptability across academic disciplines. In this article, we describe how adaptive teaching is defined and conceptualized in the education research literature from 1975 to 2014, the methods used to study instructional adaptations, and the results of these studies.