Toward an Instructionally Oriented Theory of Example-Based Learning

Dental students' ability to judge the quality of composite restorations' exemplars depicted in photographs and their impact on preclinical skills

INTRODUCTION

Assessing exemplars as a formative activity is thought to promote students' learning. This study aimed to investigate dental students' ability to judge the quality of composite restorations' exemplars depicted in photographs and their impact on students' preclinical skills.

MATERIALS AND METHODS

In a non-randomised controlled crossover trial with two intervention arms, 92 undergraduates in their first preclinical course self-enrolled in into the intervention group (A1-INT) or control group (B1-CT). The intervention group assessed photographic images of composite restorations before restoring an ivorine premolar with composite while the control group restored the same tooth without assessing the photographic exemplars. Intervention and control groups were swapped 3 days later in a second iteration (B2-INT, A2-CT). Data were analysed in SPSS® version 27 using nonparametric tests.

RESULTS

Students who did not complete all activities in the study were excluded. Therefore, 57 out of the 92 student participants were included in the study analysis. No significant differences were observed between intervention and control groups' ability to assess quality of photographic exemplars or restoring a tooth in both iterations.

CONCLUSION

Students were able to identify the quality of composite restorations in photographic exemplars. It appears that assessing photographic exemplars did not have an immediate impact on students' ability to restore a tooth with composite.

The impact of science teaching strategies in the Arabic-speaking countries: A multilevel analysis of TIMSS 2019 data

This paper analyses teaching strategies in relation to the science achievement of 4th-grade students using TIMSS 2019 data. It focuses on seven Arabic-speaking countries, which share similar cultures and distinct features of their societies and school systems. It applies multilevel modeling with student- and classroom-level information to decompose variance and understand relationships at these two levels. Overall, the results show the importance of analysis at the classroom level, as half of the science achievement variance is associated with differences between classrooms. Our results indicate that in the Arabic-speaking countries, emphasis on academic success and more active instruction are positively related to student achievement. On the other hand, science investigation methods such as planning and running experiments are negatively related to achievement, although the effects are small in magnitude. Moreover, the results from multilevel models with random coefficients for home resources suggest that higher emphasis on academic success increases differences in student achievement depending on their socioeconomic background.

Simulation-based bronchoscopy training: Randomized trial comparing worked example to video introduction

INTRODUCTION

Learning the complex skill of bronchoscopy involves the integration of cognitive domains and motor skills. The development of simulators has opened up new possibilities in bronchoscopy training. This study aimed at evaluating how effective the modeling example methodology is in training this skill and assessed its effect on cognitive load in learning.

METHODS

Forty-seven medical students participating in a simulator-based bronchoscopy training program were randomly allocated to a control group, receiving a video lesson, and the modeling example group. They were evaluated by the simulator's metrics at different time points: pre-, posttest, and 15 days and 12 months after training. Cognitive load was assessed with the modified Paas scale.

RESULTS

Simulation-based training was effective for both groups, based on simulator metrics (p < .05). The modeling example group outperformed the control group in all measures at posttest and after 15 days (p < .001). After 12 months, there was a decline in skill in both groups, but the modeling example group performed better (p < .001). Simulation-based training reduced cognitive load, more strongly so in the modeling example group (p < .001).

CONCLUSION

The modeling example group showed substantial benefits over the control group, both in reducing the cognitive load in learning and in retaining knowledge and skill after 15 days and 12 months.

Profiles of epistemological beliefs, knowledge about explanation norms, and explanation skills: changes after an intervention

In this study, we exploratively investigate the relation between students' epistemological beliefs and their declarative knowledge about scientific explanations and their practical skills to explain psychological phenomena drawing on scientific theories before and after a training intervention using a person-centered approach. We theoretically derive profiles of epistemological beliefs that should be beneficial for constructing scientific explanations. We those having higher explanation skills show a profile of epistemological beliefs that is beneficial for explanations skills. Using a latent profile transition analysis and a sample with N = 108 students, we explore which profiles of epistemological beliefs, declarative knowledge about explanations, and explanation skills empirically emerge before and after an intervention that aimed and fostering students' skills to construct scientific explanations. Before the intervention, two profiles emerged that differed in epistemological beliefs and explanation skills, but both did not in declarative knowledge about explanation. The intervention, in general, yielded a gain in declarative knowledge about explanations and explanation skills. After the intervention, again, two profiles emerged. However, these profiles did not differ in their epistemological beliefs but only in declarative knowledge about explanations and explanation skills. Thus, the intervention seems to level out the effects of epistemological beliefs. Additionally, the pattern of change in epistemological beliefs is consistent with theoretical expectations about which epistemological beliefs are beneficial for explanations. We discuss the results and their implications, as well as their limitations. Finally, we provide an outlook of using the person-oriented approach and this study's type of intervention in the research on changing epistemological beliefs.

Differential instructional effectiveness: overcoming the challenge of learning to solve trigonometry problems that involved algebraic transformation skills

The design principles of cognitive load theory and learning by analogy has independently contributed to our understanding why an instruction will or will not work. In an experimental study involving 97 Year 9 Australian students conducted in regular classrooms, we evaluated the effect of the unguided problem-solving approach, worked examples approach and analogy approach on learning to solve two types of trigonometry problem. These trigonometry problems (sin40° = $$\frac{x}{6}$$ x 6 vs. cos50° = $$\frac{14}{x}$$ 14 x ) exhibited two levels of complexity owing to the location of the pronumeral (numerator vs. denominator). The solution procedure of worked examples provided guidance, whereas the unguided problem-solving was without any guidance. Analogical learning placed emphasis on comparing a pair of isomorphic examples to facilitate transfer. Across the three approaches, solving practice problems contributed towards performance on the post-test. However, the worked examples approach and analogy approach were more efficient than the unguided problem-solving approach for acquiring skills to solve practice problems regardless of their complexity. Therefore, the worked examples approach and analogy approach that emphasizes algebraic transformation skills have the potential to reform instructional efficiency for learning to solve trigonometry problems.

Retrieval practice may not benefit mathematical word-problem solving

The retrieval practice effect refers to the fact that one or even multiple retrievals of memory content during the same period are more effective than repeated studying to promote future memory retention. It is effective for numerous declarative knowledge learning materials. However, studies have demonstrated that retrieval practice does not benefit problem-solving skill learning. This study used worked examples from math word problem tasks as learning materials, considering the retrieval difficulty as the main factor. Experiment 1 explored the effect of retrieval practice on acquiring problem-solving skills under different initial testing difficulties. Experiment 2 manipulated the difficulty of materials as a variable to ascertain the effect of retrieval practice on problem-solving skills under different material difficulty levels. Experiment 3 introduced feedback variables to facilitate the generation of the retrieval practice effect and examined the effects of various difficulty feedback levels on problem-solving skills learning. Results showed that, compared with restudying examples (SSSS), the example-problem pairs (STST) did not promote delayed test performance. As for the retrieval practice effect, as no differences or advantages were found in the repeated study group on the immediate test, the retrieval practice group generally outperformed the repeated study group on the delayed test. However, across the three experiments, we found no evidence of retrieval practice affecting results during an enhanced delayed test. Therefore, there may be no retrieval practice effect on acquiring problem-solving skills from worked examples.

Social comparison effects on students’ cognitive anxiety, self-confidence, and performance in Chinese composition writing

Social comparison is a mind-altering determinant that affects students’ learning behavior. To understand the effect, three instructional approaches to teaching Chinese writing skills were designed and implemented in this study: (1) The No Comparison Group (NCG): students were asked to complete compositions on their own; (2) The Upward Comparison Group (UCG): superior composition examples were provided and the students were asked to write compositions on the same topics; and (3) The Downward Comparison Group (DCG): inferior examples were provided for students to critique. Taiwanese junior high school ninth graders participated in three groups, and wrote compositions on six themes. The results revealed that the Chinese composition writing (CCW) skills of the students in the UCG and DCG improved significantly more than those of the students in the NCG. Composition-prompted cognitive anxiety in the DCG declined substantially. The results imply that adopting upward and downward comparisons for students to practice Chinese composition is worth adopting in writing lessons.

Representational scaffolding in digital simulations – learning professional practices in higher education

Purpose

To advance the learning of professional practices in teacher education and medical education, this conceptual paper aims to introduce the idea of representational scaffolding for digital simulations in higher education.

Design/methodology/approach

This study outlines the ideas of core practices in two important fields of higher education, namely, teacher and medical education. To facilitate future professionals’ learning of relevant practices, using digital simulations for the approximation of practice offers multiple options for selecting and adjusting representations of practice situations. Adjusting the demands of the learning task in simulations by selecting and modifying representations of practice to match relevant learner characteristics can be characterized as representational scaffolding. Building on research on problem-solving and scientific reasoning, this article identifies leverage points for employing representational scaffolding.

Findings

The four suggested sets of representational scaffolds that target relevant features of practice situations in simulations are: informational complexity, typicality, required agency and situation dynamics. Representational scaffolds might be implemented in a strategy for approximating practice that involves the media design, sequencing and adaptation of representational scaffolding.

Originality/value

The outlined conceptualization of representational scaffolding can systematize the design and adaptation of digital simulations in higher education and might contribute to the advancement of future professionals’ learning to further engage in professional practices. This conceptual paper offers a necessary foundation and terminology for approaching related future research.

The influence of the order and congruency of correct and erroneous worked examples on learning and (meta-)cognitive load

Several studies highlight the importance of the order of different instructional methods when designing learning environments. Correct but also erroneous worked examples are frequently used methods to foster students’ learning performance, especially in problem-solving. However, so far no study examined how the order of these example types affects learning. While the expertise reversal effect would suggest presenting correct examples first, the productive failure approach hypothesizes the reversed order to be learning-facilitating. In addition, congruency of subsequent exemplified problems was tested as a moderator of the effect of order on learning. For example, with arithmetic tasks, congruent problems target exactly the same calculation while incongruent problems refer to different calculations. Following cascade theory, a model of cognitive skill acquisition, presenting correct examples first should be more effective when the subsequent exemplified problems are different. To test the (conflicting) hypotheses, 83 university students were assigned to one of the four conditions in a 2 (correct vs. erroneous example first) × 2 (same vs. different exemplified problems) between-subject design. Learners navigated through a slideshow on the topic of Vedic mathematics consisting of explicit instruction, worked examples differing in terms of the experimental condition, and transfer problems. Although no main or interaction effects were found regarding students’ learning performance, mediational analysis offered support for the expertise reversal effect, as it indicated that there is a significant indirect effect of order via mental load on learning. Presenting correct examples first and erroneous examples second resulted in a lower mental load, which in turn was associated with better learning performance. In contrast, presenting erroneous examples first and correct examples second resulted in a more accurate self-assessment of learning performance. These findings offer first insights into the question of how the presentation order of different example types impacts learning and provide practical recommendations for the design of educational media. Results are discussed in light of the ongoing debate regarding the question if less guided instructional methods should precede or succeed more guided methods.

Combining Retrieval Practice and Generative Learning in Educational Contexts

Abstract. Engaging learners in practicing the retrieval of learned information fosters the consolidation of learners’ mental representations and hence long-term retention. Retrieval practice research has enriched the instructional design literature by providing a wealth of evidence for these benefits of retrieval-based learning and thus emphasizing the value of means to consolidate knowledge. The present article makes the case that a fruitful next step could be to focus on the interplay between retrieval practice and generative activities. Rather than consolidating mental representations, generative activities should have as their main function the construction of coherent mental representations. Hence, from a theoretical perspective, generative activities and retrieval practice should functionally complement each other; hence, combinations of both activities might be particularly suitable to promote lasting learning. Given the challenge to beneficially combine these activities, we discuss open questions that could substantially advance both the retrieval practice and the generative learning field.

A novel scale to measure students' perceptions of exemplars in a dental school

INTRODUCTION

Exemplars are an effective strategy for initial cognitive and psychomotor skill acquisition and promoting students' self-regulation. Yet, there is limited evidence about students' use and perception of exemplars in dental education. Therefore, this study aimed to develop a scale to measure students' perception of exemplars in an Australian dental school.

MATERIALS AND METHODS

Phase I assessed the relevant literature and students' responses to an interview. Four themes were identified for developing a 19-item questionnaire rated by an expert panel. Phase II piloted the questionnaire amongst a group of 30 students. Phase III analysed psychometric and qualitative open-ended questions data obtained from a large group of students.

RESULTS

The principal axis factoring resulted in one single factor that explained over 62% of the variance and had an alpha of .88. The number of questions was reduced from 19 to 6 items with loadings of 0.72 or above for each item. Students reported exemplars are beneficial for their learning and to visually guide them to understand procedures and their intended outcomes. This prompts them to think and mentally prepare before performing. Students further reported using exemplars provided by their courses almost as often as exemplars they search in social media.

CONCLUSION

Well-developed exemplars could play a key role in enhancing learning and could assist teaching. Understanding students' use and perception of exemplars will help educators to develop and evaluate appealing exemplars. Therefore, this study developed a new instrument to measure students' perception of exemplars, verified its reliability and validity.

Developing Problem-Solving Expertise for Word Problems

Studying worked examples impose relatively low cognitive load because learners' attention is directed to learn the schema, which is embedded in the worked examples. That schema encompasses both conceptual knowledge and procedural knowledge. It is well-documented that worked examples are effective in facilitating the acquisition of problem-solving skills. However, the use of worked examples to develop problem-solving expertise is less known. Typically, experts demonstrate an efficient way to solve problems that is quicker, faster, and having fewer solution steps. We reviewed five studies to validate the benefit of worked examples to develop problem-solving expertise for word problems. Overall, a diagram portrays the problem structure, coupled with either study worked examples or complete multiple example-problem pairs, facilitates the formation of an equation to solve words problems efficiently. Hence, an in-depth understanding of conceptual knowledge (i.e., problem structure) might contribute to superior performance of procedural knowledge manifested in the reduced solution steps.

Meta-analyses as a privileged information source for informing teachers' practice?

Abstract. Inspired by evidence-based medicine, many researchers in the field of learning and instruction assume that meta-analyses are the best scientific information source to inform teachers' practice. This position is evaluated critically. For this purpose, I first clarify my fundamental assumptions about employing evidence for educational practice, as they form the basis for later argumentations (e.g., scientific evidence is just one of several important information sources for teachers). Then, the numerous disadvantages of meta-analyses as an information source for teachers are outlined (e.g., piecemeal information, partly inconsistent information) and, on this basis, I argue that they should not be considered a privileged source. Theories (including instructional models) provide some key advantages (e.g., coherent information) so that they should be seen as a prime information source. Nevertheless, theories also have some disadvantages so that teachers might be best advised to rely on multiple sources, and integrate them when trying to improve their practice. Finally, potential objections to theories as privileged information source are discussed.

The use of podcasts as a tool to teach clinical reasoning: a pseudorandomized and controlled study

OBJECTIVES

Podcasts have emerged as an efficient method for widespread delivery of educational clinical reasoning (CR) content. However, the impact of such podcasts on CR skills has not been established. We set out to determine whether exposure to expert reasoning in a podcast format leads to enhanced CR skills.

METHODS

This is a pseudo-randomized study of third-year medical students (MS3) to either a control group (n=22) of pre-established online CR modules, or intervention group (n=26) with both the online modules and novel CR podcasts. The podcasts were developed from four "clinical unknown" cases presented to expert clinician educators. After completing these assignments in weeks 1-2, weekly history and physical (H&P) notes were collected and graded according to the validated IDEA rubric between weeks 3-7. A longitudinal regression model was used to compare the H&P IDEA scores over time. Usage and perception of the podcasts was also assessed via survey data.

RESULTS

Ninety control and 128 intervention H&Ps were scored. There was no statistical difference in the change of average IDEA scores between intervention (0.92, p=0.35) and control groups (-0.33, p=0.83). Intervention participants positively received the podcasts and noted increased discussion of CR principles from both their ward (3.1 vs. 2.4, p=0.08) and teaching (3.2 vs. 2.5, p=0.05) attendings.

CONCLUSIONS

This is the first objective, pseudo-randomized assessment of CR podcasts in undergraduate medical education. While we did not demonstrate significant improvement in IDEA scores, our data show that podcasts are a well-received tool that can prime learners to recognize CR principles.

Do Video Modeling and Metacognitive Prompts Improve Self-Regulated Scientific Inquiry?

Guided inquiry learning is an effective method for learning about scientific concepts. The present study investigated the effects of combining video modeling (VM) examples and metacognitive prompts on university students’ (N = 127) scientific reasoning and self-regulation during inquiry learning. We compared the effects of watching VM examples combined with prompts (VMP) to watching VM examples only, and to unguided inquiry (control) in a training and a transfer task. Dependent variables were scientific reasoning ability, hypothesis and argumentation quality, and scientific reasoning and self-regulation processes. Participants in the VMP and VM conditions had higher hypothesis and argumentation quality in the training task and higher hypothesis quality in the transfer task compared to the control group. There was no added benefit of the prompts. Screen captures and think aloud protocols during the two tasks served to obtain insights into students’ scientific reasoning and self-regulation processes. Epistemic network analysis (ENA) and process mining were used to model the co-occurrence and sequences of these processes. The ENA identified stronger co-occurrences between scientific reasoning and self-regulation processes in the two VM conditions compared to the control condition. Process mining revealed that in the VM conditions these processes occurred in unique sequences and that self-regulation processes had many self-loops. Our findings show that video modeling examples are a promising instructional method for supporting inquiry learning on both the process and the learning outcomes level.

The effects of example-free instruction and worked examples on problem-solving

The use of worked examples has been shown to be an effective instructional method for reducing cognitive load and successfully engaging in problem-solving. Extant research often views worked examples as an integrated part of direct instruction. Studies have examined the problem-solving effects of worked examples used in tandem with instructional explanations. However, a gap exists in research focusing on the individual problem-solving effects of example-free instructional explanations and worked examples containing no instructional explanation. This study uses a method in which worked examples are separated from direct instruction to examine the problem-solving effects of individual parts of such instruction, namely example-free instruction and worked examples containing no instructional explanation. Considering the importance of critical thinking skills in the current educational environment, the current study was conducted on a group of university students (n = 32) studying critical thinking in South Korea. Results showed that example-free instruction was more effective for problem-solving than worked examples containing no instructional explanation. Additionally, participants reported more efficient cognitive processing ability when critical thinking problems were presented through instructional explanation rather than worked examples. These results allow for a granular look at the different aspects of direct instruction and their effects on cognitive load and problem-solving.

Observing Interprofessional Collaboration: Impact on Attitude and Knowledge Acquisition

Interprofessional collaboration (IPC) in the medical field is an important factor for good clinical outcomes and should be taught as early as in undergraduate medical education. Since implementing IPC training is an organizational challenge, students are often limited in their opportunities to experience real-life IPC. Therefore, an approach where students observe successful IPC activities of role models in an applied anatomical format was proposed. It was studied whether observing IPC activities in undergraduate anatomical education has an impact on both students' attitude toward IPC and on knowledge acquisition. Further, it was examined whether the attitudes and knowledge of students from different medical disciplines were influenced in different ways. Therefore, 75 medical students and thirty-eight physiotherapy students participated in a study with the task of observing a live broadcast of an interprofessional teaching session. Participants were asked about their attitudes toward interprofessional learning, their evaluation of professional responsibilities, and their profession-specific knowledge before and after observing the IPC session. The participants' attitude toward interprofessional learning improved for both groups of students. Moreover, students of physiotherapy adjusted their evaluation of their own and others' professional responsibilities after observing IPC. In both student groups, knowledge increased, in particular, with respect to the field of knowledge in other professions. So, observing IPC can modify students' attitudes and support knowledge acquisition. The implementation of IPC observations provides students from various healthcare disciplines with a clearer impression of professionals' responsibilities and gives learners the opportunity to acquire knowledge from healthcare fields unfamiliar to them.

Assessing Instructional Cognitive Load in the Context of Students' Psychological Challenge and Threat Orientations: A Multi-Level Latent Profile Analysis of Students and Classrooms

To better understand instructional cognitive load, it is important to operationalize and assess it in novel ways that can reveal how different students perceive and experience this load as either challenging or threatening. The present study administered a recently developed instruction assessment tool-the Load Reduction Instruction Scale-Short (LRIS-S)-to N = 2,071 students in 188 high school science classrooms. Multilevel latent profile analysis (LPA) was used to identify student and classroom profiles based on students' reports of instructional cognitive load (load reduction instruction, LRI; using the LRIS-S) and their accompanying psychological challenge orientations (self-efficacy and growth goals), and psychological threat orientations (anxiety and failure avoidance goals). In phase 1 of analyses (investigating students; Level 1), we identified 5 instructional-psychological student profiles that represented different presentations of instructional load, challenge orientation, and threat orientation, ranging from the most maladaptive profile (the Instructionally-Overburdened & Psychologically-Resigned profile) to the most adaptive profile (Instructionally-Optimized & Psychologically-Self-Assured profile). The derived profiles revealed that similar levels of perceived instructional load can be accompanied by different levels of perceived challenge and threat. For example, we identified two profiles that were both instructionally-supported but who varied in their accompanying psychological orientations. Findings also identified profiles where students were dually motivated by both challenge and threat. In turn, these profiles (and their component scores) were validated through their significant associations with persistence, disengagement, and achievement. In phase 2 of analyses (investigating students and classrooms; Levels 1 and 2), we identified 3 instructional-psychological classroom profiles that varied in instructional cognitive load, challenge orientations, and threat orientations: Striving classrooms, Thriving classrooms, and Struggling classrooms. These three classroom profiles (and their component scores) were also validated through their significant associations with classroom-average persistence, disengagement, and achievement-with Struggling classrooms reflecting the most maladaptive outcomes and Thriving classrooms reflecting the most adaptive outcomes. Taken together, findings show that considering instructional cognitive load (and new approaches to empirically assessing it) in the context of students' accompanying psychological orientations can reveal unique insights about students' learning experiences and about important differences between classrooms in terms of the instructional load that is present.

The Impact of an 8-Weeks At-Home Physical Activity Plan on Academic Achievement at the Time of COVID-19 Lock-Down in Italian School

The purpose of this randomized controlled study was to investigate the efficacy of an 8-week exercise programme conducted in e-learning mode on high school students’ academic performance. The aim was to examine the changes in physical fitness and learning outcomes during the enforced period of lockdown caused by outbreak of the second wave of COVID-19 pandemic and the closure of schools in Italy. Thirty high-school students (14–15 years) were randomly assigned to an experimental group (n = 15) that performed an at-home workout programme (~60 min., twice a week), or a control group (n = 15) who received only a regular programme of theoretical lessons where no practice takes place. Both groups were synchronized in real-time with the physical education teacher. In order to assess students’ starting level and significant changes reached, at baseline and after training, a battery of standardized assessment motor tests (Standing long jump test, Harvard step test, sit and reach test, and butt kicks test), and an academic achievement test (Amos 8–15) were administered. In comparison to the control group at baseline and the end of the programme, the experimental group reported considerable improvements in motivation and concentration, significant anxiety reduction, and an increase in capacity to organize studying and to be more flexible. Moreover, it was possible to observe the efficacy of the workout to improve learning ability among practicing students (p < 0.001). No significant changes were found in the control group. The results suggest that a school-based exercise programme conducted online could be a powerful approach in order to achieve the best academic outcomes and for improving students’ physical fitness as well as their cognitive health.

Perspectives of key stakeholders on essential virtues for good scientific practice in research areas

In contrast to the principle-based approach to ethics and research integrity (ERI) training, which stresses the importance of following moral rules, the virtue-based approach focuses on developing good character traits. This study has aimed to explore what virtues mean in scientific practice and their suitable place in ERI training, using a qualitative approach. Two face-to-face focus group discussions were conducted with 21 participants. Heterogeneous purposive sampling was used to reach participants from different countries, organization types (academia, research, publishing, private sector), scientific disciplines and stages of their scientific careers. Data generated during the focus group discussions were analyzed using a reflexive thematic analysis approach, and three main themes were developed. The first theme addressed the relativity of virtue meanings because the participants differed in their definitions and understandings of the concept of virtue. The second theme referred to the acquisition of virtues through social interactions because participants saw virtues mostly as social constructs acquired through socialization and education. The third theme addressed the differences in the importance of particular virtues in research. Participants felt that particular virtues were more important than others because some of them are necessary for responsible research, and some are not.

Methods for Optimizing Student Pharmacist Learning of Clinical Note Writing

Objective. To investigate the effectiveness of using problem-solving and worked examples in teaching clinical note writing to Doctor of Pharmacy students.Methods. First year student pharmacists who were recruited to participate in the study first studied a worked example on generating a clinical note from a written patient case. Participants were then randomized either to study another worked example or to practice writing a clinical note from a written patient case. Embedded in each condition was problem variability (ie, participants encountered either a similar disease state as that in the initial worked example or a different disease state). The primary outcome was the combined performance on writing two clinical notes. Secondary outcomes included quiz performance on knowledge of the components of a clinical note and ability to transfer writing skills to a novel disease state.Results. Seventy-nine students completed the study. Participants who studied a worked example followed by problem-solving (WE-PS) practice performed better than participants who studied two worked examples (WE-WE) on clinical note writing. However, there was no difference in their respective knowledge as determined by quiz performance.Conclusion. Both worked examples and problem-solving facilitated students' learning of the basic knowledge of clinical note writing. However, only problem-solving improved student pharmacists' ability to apply that knowledge. While there were significant improvements in student pharmacists' knowledge of the basics of clinical note writing, it is unclear how worked examples or problem-solving influence the clinical decision-making skills needed to write a clinical note.

Analyzing Self-Explanations in Mathematics: Gestures and Written Notes Do Matter

When learners self-explain, they try to make sense of new information. Although research has shown that bodily actions and written notes are an important part of learning, previous analyses of self-explanations rarely take into account written and non-verbal data produced spontaneously. In this paper, the extent to which interpretations of self-explanations are influenced by the systematic consideration of such data is investigated. The video recordings of 33 undergraduate students, who learned with worked-out examples dealing with complex numbers, were categorized successively including three different data bases: (a) verbal data, (b) verbal and written data, and (c) verbal, written and non-verbal data. Results reveal that including written data (notes) and non-verbal data (gestures and actions) leads to a more accurate analysis of self-explanations than an analysis solely based on verbal data. This influence is even stronger for the categorization of self-explanations as adequate or inadequate.

[Teaching in times of corona: a look at the challenges from the perspective of research on learning and instruction]

Die Corona-Pandemie führte infolge der Schulschließungen zu einer Ausnahmesituation, die Lehrkräfte vor neue und unvorhersehbare Herausforderungen stellte. In diesem Artikel führen wir die Unterrichts- und Instruktionsforschung zusammen, um die Frage zu beantworten, wie es Lehrkräften trotz der Einschränkungen einer Pandemie gelingen kann, erfolgreichen Unterricht umzusetzen. Erstens stellen wir die Nachteile einer ausschließlichen Betrachtung der Sichtstrukturen für die Diskussion über guten Unterricht unter Pandemiebedingungen vor. Zweitens zeigen wir auf der Grundlage von Tiefenstrukturen die Herausforderungen einer Pandemie für die Gestaltung eines lernförderlichen Unterrichts im Sinne der kognitiven Aktivierung, konstruktiven Unterstützung und Effizienz des Klassenmanagements auf. Drittens konkretisieren wir anhand von Lehr-Lern-Elementen, wie Lehrkräfte auf der Grundlage von Lernzielen das Lernen von Schülerinnen und Schülern unter Pandemiebedingungen hinsichtlich Motivierung, Vermittlung, Weiterverarbeitung, Üben, Transfer und Rückmeldung fördern können. Dabei gehen wir auch auf die besondere Rolle der elterlichen Unterstützung ein. Viertens leiten wir Empfehlungen für das Unterrichten unter Pandemiebedingen ab und diskutieren, wie die Corona-Pandemie als Chance begriffen werden kann, um neue Erkenntnisse über die Gestaltung individuellen Lernens zu erhalten, die auch zukünftigen Unterricht bereichern können.

Advancing the Guidance Debate: Lessons from Educational Psychology and Implications for Biochemistry Learning

Research in science, technology, engineering, and mathematics education supports a shift from traditional lecturing to evidence-based instruction in college courses, yet it is unknown whether particular evidence-based pedagogies are more effective than others for learning outcomes like problem solving. Research supports three distinct pedagogies: worked examples plus practice, productive failure, and guided inquiry. These approaches vary in the nature and timing of guidance, all while engaging the learner in problem solving. Educational psychologists debate their relative effectiveness, but the approaches have not been directly compared. In this study, we investigated the impact of worked examples plus practice, productive failure, and two forms of guided inquiry (unscaffolded and scaffolded guidance) on student learning of a foundational concept in biochemistry. We compared all four pedagogies for basic knowledge performance and near-transfer problem solving, and productive failure and scaffolded guidance for far-transfer problem solving. We showed that 1) the four pedagogies did not differentially impact basic knowledge performance; 2) worked examples plus practice, productive failure, and scaffolded guidance led to greater near-transfer performance compared with unscaffolded guidance; and 3) productive failure and scaffolded guidance did not differentially impact far-transfer performance. These findings offer insights for researchers and college instructors.

Mixed-methods analysis of videoed expert-student dialogue supporting clinical competence assessments

INTRODUCTION

This mixed methods study evaluates the use and perceptions of a novel video genre of authentic, in-the-moment expert-student dialogue to support student preparation for a summative clinical competence assessment.

METHODS

Expert-student dialogue videos were available on the university learning management system (Moodle) for self-directed access for a fixed prosthodontics course. These comprised 3 categories of video relating to dialogic episodes of previous student's performance relating to a clinical competence assessment. These were as follows: case suitability, case discussion and self-evaluation. Fourteen students who were taking the competence test and had watched the supporting videos were invited for focus group interviews. Twelve students participated in three focus groups within 24 hours of the assessment and the audio recordings were analysed. A thematic analysis was performed using an inductive approach. Video access data were also retrieved and analysed based on when the videos were watched.

RESULTS

Three key themes were identified: assessment preparation, enhanced learning and affordance phenomena. By accessing the videos, students gained insights into the case suitability, assessment process and criteria, and the examiners' expectations. They reported reduced uncertainty and stress, improved confidence and better preparedness for the assessment. Students also reported this video genre stimulated higher-order thinking and provided a broader clinical experience. A diverse array of viewing patterns was observed immediately before the assessment and across the year. For the focus group of students, they watched 65% of all their videos for the prosthodontics course one week before their competency testing periods.

CONCLUSION

The expert-student dialogue videos that captured peers clinical competence tests improved students' assessment literacy, increased their assessment preparedness, reduced stress and enriched their learning.

The Self-Regulation-View in Writing-to-Learn: Using Journal Writing to Optimize Cognitive Load in Self-Regulated Learning

We propose the self-regulation view in writing-to-learn as a promising theoretical perspective that draws on models of self-regulated learning theory and cognitive load theory. According to this theoretical perspective, writing has the potential to scaffold self-regulated learning due to the cognitive offloading written text generally offers as an external representation and memory aid, and due to the offloading, that specifically results from the genre-free principle in journal writing. However, to enable learners to optimally exploit this learning opportunity, the journal writing needs to be instructionally supported. Accordingly, we have set up a research program—the Freiburg Self-Regulated-Journal-Writing Approach—in which we developed and tested different instructional support methods to foster learning outcomes by optimizing cognitive load during self-regulated learning by journal writing. We will highlight the main insights of our research program which are synthesized from 16 experimental and 4 correlative studies published in 16 original papers. Accordingly, we present results on (1) the effects of prompting germane processing in journal writing, (2) the effects of providing worked examples and metacognitive information to support students in effectively exploiting prompted journal writing for self-regulated learning, (3) the effects of adapting and fading guidance in line with learners’ expertise in self-regulated learning, and (4) the effects of journal writing on learning motivation and motivation to write. The article closes with a discussion of several avenues of how the Freiburg Self-Regulated-Journal-Writing Approach can be developed further to advance research that integrates self-regulated learning with cognitive load theory.

Health Education about Rheumatic Heart Disease: A Community-Based Cluster Randomized Trial: Rheumatic Heart Disease Educational Strategies

Introduction

The burden of rheumatic heart disease (RHD) is still high in Brazil. Lack of population awareness about the disease limits the efficacy of prevention programs. We aimed to evaluate the effectiveness of education on RHD in schools, comparing the conventional expository teaching method with tablet-based worked examples.

Method

A prospective, cluster randomized trial was conducted over eight months in six randomly selected low-income Brazilian public schools. Each class was considered a cluster (total: 90), being randomized 1:1 to receive one of the educational methods. Pre-test evaluated students' prior knowledge on RHD. Post-tests, 10 days, and three months later, evaluated retention of knowledge.

Results

At total 1,301 students (52% female) completed the study, being 63% from high school. Baseline knowledge about RHD was universally low (average score expository classes [G1] 33.9% vs. worked examples [G2] 32.5%, p = 0.23). A significant but similar improvement was observed in both groups in the immediate post-test (pre- vs. post: p < 0.001): G1 57.5% vs. G2 56.7%, p = 0.69. In the late post-test, a significant 20% worsening was observed in both groups and the final scores were again similar: G1 45.0% vs. G2 45.9%, p = 0.87. Highschool students had higher scores (p < 0.001), and girls had better overall performances than boys (p < 0.001).

Conclusion

The novel technology of tablet-based worked examples had similar results compared with expository classes for RHD education in schools. Both educational processes resulted in modest gains in knowledge, with low retention. More studies are needed to determine if increased knowledge leads to behavioral changes that could reduce RHD burden.

Highlights

In a cluster-randomized trial, two different educational strategies about Rheumatic Heart Disease (RHD) for children - standard expository classes and worked examples based on interactive modules in tablet computers - were compared in public schools of underserved Brazilian neighborhoods.Baseline knowledge was low, and the novel tablet-based technology had similar results compared with traditional teaching for RHD education in schools, with no differences in acquisition and mid-term retention of knowledge.Both educational interventions resulted in similar 71% improvement in the immediate post-test, although with suboptimal retention, with over 20% worsening in three months in both groups.Our data suggests that the optimal strategy for RHD education is yet to be determined, and future studies should be warranted to determine if increased knowledge leads to behavioral changes that could reduce disease burden in endemic areas.

A Literature Review on the Foundations and Potentials of Digital Teaching Scenarios for Interprofessional Health Care Education

The health care system is increasingly complex and specialized, but it presents the actors involved with the challenge of working together in interprofessional teams. One way to meet this challenge is through interprofessional training approaches, where representatives of different professions learn together with learners of other professions. This article contributes to the question of how interprofessional teaching in health care education can be designed with a low threshold by using digital media. We focus on learning with digital learning platforms and learning with videos. Based on existing empirical findings, these approaches are discussed in terms of their potential and limitations for interprofessional teaching. In particular, we examine how these approaches influence the core competence domains of interprofessional collaborative practice. Digital collaborative learning platforms are suitable for teaching interprofessional competences, since they enable social and professional exchange among learners of different professions. Videos are suitable for imparting medical declarative and procedural knowledge. Based on these considerations, the use of videos in combination with interaction possibilities is presented as a didactic approach that can combine the aspect of knowledge transfer with the possibility of interprofessional computer-based collaboration.

Causal Interpretability for Machine Learning - Problems, Methods and Evaluation

Machine learning models have had discernible achievements in a myriad of applications. However, most of these models are black-boxes, and it is obscure how the decisions are made by them. This makes the models unreliable and untrustworthy. To provide insights into the decision making processes of these models, a variety of traditional interpretable models have been proposed. Moreover, to generate more humanfriendly explanations, recent work on interpretability tries to answer questions related to causality such as "Why does this model makes such decisions?" or "Was it a specific feature that caused the decision made by the model?". In this work, models that aim to answer causal questions are referred to as causal interpretable models. The existing surveys have covered concepts and methodologies of traditional interpretability. In this work, we present a comprehensive survey on causal interpretable models from the aspects of the problems and methods. In addition, this survey provides in-depth insights into the existing evaluation metrics for measuring interpretability, which can help practitioners understand for what scenarios each evaluation metric is suitable.

Effects of an Acute Physical Activity Break on Test Anxiety and Math Test Performance

(1) Background: Test anxiety has been found to negatively affect students' mental health and academic performance. A primary explanation for this is that anxiety-related thoughts occupy working memory resources during testing that cannot be used for test-related processes (such as information retrieval and problem-solving). The present intervention study investigated whether physical activity could decrease anxiety levels and improve maths test performance in sixth-grade children. (2) Methods: Sixty-eight children of 11-12 years from two primary schools in New South Wales, Australia were categorised as low or high anxious from their scores on a trait-anxiety questionnaire. After this assessment, they were randomly assigned to the activity break condition, in which they had to do several physical activities of moderate intensity (i.e., star jumps) for 10 min, or the control condition, in which they played a vocabulary game for 10 min. The outcome measures were children's anxiety levels at the beginning, during, and at the end of the test, invested mental effort, perceived task difficulty and maths test performance. (3) Results: Results showed that regardless of the condition, low anxious students performed better on the maths test than high anxious children. No differences were found for any of the variables between the activity break condition and the control condition. (4) Conclusions: Although test anxiety was not reduced as expected, this study showed that short physical activity breaks can be used before examinations without impeding academic performance.

Is a Picture Worth a Thousand Words? Evaluating the Design of Instructional Animations in Veterinary Education

Empirical evidence demonstrates that student learning outcomes improve when animations are developed in alignment with the design principles of the cognitive theory of multimedia learning (CTML). The extent to which these principles are used in the design of veterinary instructional animations is unknown. In this study, we reviewed the veterinary education literature for articles that discussed specific veterinary medical animations as learning resources. The 30 referenced animations accessed through this search were analyzed to determine whether they used the CTML's 11 major design principles. Analysis revealed that the animations most commonly adhered to only 4 principles: coherence, redundancy, modality, and spatial contiguity. The majority of the 11 CTML principles were used in fewer than 40% of the animations. We also examined the alignment between raters' perceptions of the effectiveness and enjoyment of the animations and adherence to the design principles. Analyses revealed that the animations deemed by raters as most enjoyable and effective did not utilize more design principles than animations they viewed as least enjoyable and effective. The results of this study indicate many missed opportunities to increase learning by developing animated learning resources according to empirically based design principles. Decisions to include specific animations in instruction should be based on whether the resources include elements that have been shown to increase learning rather than subjective perceptions of effectiveness and enjoyment.

The why, when, and how of computing in biology classrooms

Many biologists are interested in teaching computing skills or using computing in the classroom, despite not being formally trained in these skills themselves. Thus biologists may find themselves researching how to teach these skills, and therefore many individuals are individually attempting to discover resources and methods to do so. Recent years have seen an expansion of new technologies to assist in delivering course content interactively. Educational research provides insights into how learners absorb and process information during interactive learning. In this review, we discuss the value of teaching foundational computing skills to biologists, and strategies and tools to do so. Additionally, we review the literature on teaching practices to support the development of these skills. We pay special attention to meeting the needs of diverse learners, and consider how different ways of delivering course content can be leveraged to provide a more inclusive classroom experience. Our goal is to enable biologists to teach computational skills and use computing in the classroom successfully.