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Abstract: We present the analysis of an episode of mathematical problem solving in a group, where data came from multiple advanced recorders, including multiple video cameras, Smartpen recorders, and mobile eye tracking glasses. Analysis focused on a particular group that was ineffective in their problem-solving process. Relying on the commognitive theory of learning on the one hand, and on quantitative descriptors of eye-tracking data on the other hand, we ask how do the interpretations of the discourse analysis and gaze data complement each other in understanding the obstacles to problem-solving in this episode. The setting included four Finnish 9th grade students solving a geometrical problem in the students’ authentic mathematics classroom. The commognitive analysis revealed intensive social communication (subjectifying) along with the mathematical one (mathematizing), which seemed to interfere with the problem-solving process. Specifically, it masked the differences in students’ interpretation of the tasks, and did not allow explication of meta-rules according to which students endorsed mathematical claims. Diagrams of quantified gaze data enabled a more macro-level picture of the full 15 min interaction, revealing differential loci of attention of the group members and thus triangulating the micro-analysis. PubDate: 2023-06-01
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Abstract: Teachers need knowledge about operant conditioning as an important way to prevent student misbehavior. In an experiment with 181 student teachers, we investigated how the acquisition of conceptual knowledge about operant conditioning can be promoted through case comparisons. Our results showed that case comparison effectively supported the acquisition of knowledge about operant conditioning. Knowledge acquisition was higher with more guidance during case comparison by providing key features to be used to compare the cases. Furthermore, with more guidance student teachers learned more efficiently. In addition, higher germane load and lower extraneous load were found to mediate the effect of instructional guidance on learning. The case comparison was also associated with a shift in student teachers’ beliefs, with more appropriate beliefs about operant conditioning afterwards. Thus, the results indicate that case comparison is an effective approach to promoting the acquisition of conceptual knowledge and positive beliefs about operant conditioning. PubDate: 2023-05-16
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Abstract: Previous research often revealed detrimental effects of seductive details on learning with multimedia instruction, but there are mixed findings regarding how to best explain these detrimental effects. We investigated whether the detrimental effects of seductive details are mainly mediated by the cognitive processes of diversion (deeper processing of seductive details rather than pertinent content) or disruption (unsuccessful attempts to integrate seductive details with pertinent content) by assessing the effects of instructional prompts. In an online learning experiment, participants (N = 247) learned either without seductive details (control condition) or with seductive details in one of three conditions: Participants received either a prompt informing them about the irrelevance of seductive details (irrelevance-prompt), a prompt to process seductive details and pertinent content separately (separation-prompt), or no prompt within their task instruction. We assessed recall and transfer of knowledge as dependent variables. Supporting the diversion hypothesis, participants in the no-prompt condition regarded seductive details as more relevant and consequently spent more time processing them compared to participants in the irrelevance-prompt condition, which negatively influenced their recall performance. Against the disruption hypothesis, participants in the no-prompt condition reported lower integration avoidance between seductive details and pertinent content compared to participants in the separation-prompt condition, but this led to better rather than worse transfer performance. Our results thus suggest diversion, and not disruption, to be the main process driving the seductive details effect. Reducing the details’ diverting potential seems a good way to deal with seductive details in instruction. PubDate: 2023-05-12
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Abstract: The paper describes an action research being developed by the researcher to address the issue of plagiarism and assist tertiary students to master second-language (L2) writing using sources in a higher education institute (HEI) in Oman. It recruited 16 undergraduate students from two classes who undertook an L2 writing course. To identify their needs of citation skills and develop a follow-up action plan, the students were initially asked to write a referenced-based essay, and then they were interviewed to explore their knowledge and skills of citation. Accordingly, specific amount of tasks were developed and conducted in 10 weeks. After implementing the tasks, the participants were asked to write another referenced-based essay and then they were interviewed for the second time to explore any change they had in knowledge and skills of citation. Findings showed that instances of plagiarism significantly decreased in their second essay; however, there was a modest overall improvement in cases of misinterpreted citations across the students who had low level of English proficiency. Implications for teaching citation skills in academic L2 writing contexts are discussed. PubDate: 2023-04-25
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Abstract: This paper articulates an approach to incorporating instructor feedback in design-based research. Throughout the process of designing and implementing curriculum to support middle school students’ debugging practices in a summer computer science workshop, our research and practice team utilized instructor-generated conjecture maps as boundary objects, providing insight into the instructors’ reflections on their classroom teaching. We develop an analytic tool for categorizing instructors’ reflections on their conjecture maps, attending specifically to how instructors push back on design choices, whether by envisioning new mediating processes, introducing new connections, discussing new design features, articulating confusion/uncertainty, and/or presenting hopes and predictions. The tool is then applied to seven instructors’ daily reflections over the course of four weeks of instruction, focused on three conjecture maps. Overall, the paper documents a range of tensions that instructors encounter when aiming to provide sustained debugging support to students and introduces a tool for understanding the detailed ways that instructors critique design conjectures. PubDate: 2023-04-24
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Abstract: Combinations of perceptual fluency and sense-making competencies contribute synergistically to learning gains in undergraduate science, technology, engineering, and math (STEM) education. However, instructional principles depend on the target of instruction, and in many fields, the targets of instruction are quite different from undergraduate STEM education. Professional learning often involves the application of previously acquired conceptual knowledge in a perceptually complex reality. This paper focuses on the field of surgery, specifically the recognition of surgical anatomy, in which the target of instruction is perceptual ability rather than conceptual knowledge. We conducted two experiments in which 42 and 44 surgical trainees participated in perceptual-fluency and sense-making interventions, followed by tests of their ability to recognize surgical anatomy in real operative images. The results showed that perceptual-fluency interventions contributed to gains in perceptual knowledge relating to surgical anatomy, whereas sense-making interventions did not. We discuss our findings in terms of alignment between instructional design and instructional goals, and the application of advances in learning sciences to adult learning of complex skills. PubDate: 2023-04-20
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Abstract: Responsible citizenship and sound decision-making in today’s information age necessitate an appreciation of the role of uncertainty in the process of generating data-based scientific knowledge. The latter calls for coordinating between different types of uncertainties, related to three types of relevant reasoning: statistical, scientific, and nature of science uncertainties. This article examines separately the uncertainties that young students articulate as they engage in activities designed to concurrently foster all three types of reasoning, and also explores how these different types can interrelate. The context of Citizen Science is particularly suited for this goal, providing a unique pedagogical opportunity for learning scientific content by engaging learners in authentic scientific practices, including data analysis. Based on literature from the three fields of statistics, science and nature of science education, we offer an integrative framework, Deterministic Relativistic and Middle ground (DReaM), which consists of nine sub-categories of uncertainty articulations. We utilize it to analyze an instrumental case study of a pair of middle school students’ (ages 13 and 14) participation in a pilot study of an interdisciplinary extended learning sequence, as part of the Radon Citizen Science Project. The results of an interpretative microgenetic analysis identified all nine DReaM uncertainty articulations sub-categories. These are illustrated in the Findings section with key scenes from the pair’s participation. The discussion depicts how these sub-categories manifested in this particular case study and suggests interrelations between them in a more extended depiction of the DReaM framework. We conclude with the pedagogical implications of the extended framework. PubDate: 2023-04-19
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Abstract: Youth-focused Community and Citizen Science (CCS) projects are contexts in which youth can contribute to the entire “data lifecycle”––from data-collection to decision-making with their scientific findings. But data alone does not contain the answers for what action to take and how. Using the educational context of an afterschool CCS bird monitoring program for 4th and 5th graders, this ethnographic study investigates the different ways youth identified and understood environmental issues on their school campus. We use a theoretical framework of framing, youth identity and agency to understand youth perspectives of their CCS project purpose or goals, their goal-aligned actions (real or imagined), and their CCS practices. We situate these findings within the instructional context of youth’s bird monitoring project and provide instructional recommendations for CCS projects which position youth as knowledge producers, such as how to support youth in developing rigorous intellectual criteria for evaluating their environmental decisions. PubDate: 2023-04-04
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Abstract: This electroencephalography (EEG) study tested the benefits of generative learning and the underlying neural mechanism of these benefits when learning from video lectures. Twenty-six Chinese young adults independently viewed two video lectures in a repeated measures design. Each video lecture was broken into 40 segments, and after each segment, the participants either generated an oral sentence (generative learning condition) or viewed a sentence (passive viewing condition). Participants’ learning performance (accuracy and reaction time) were assessed after viewing each video, and their EEG oscillations (i.e., lower alpha band and upper alpha band in frontal and occipital-parietal regions) were recorded while watching each video and while generating a sentence or viewing a sentence. Paired t tests showed that students had higher learning performance (higher accuracy and shorter reaction time) after learning by using a generative learning strategy than learning by passive viewing. Repeated measures ANOVAs showed that when learning by using a generative learning strategy, students exhibited increased frontal and occipital-parietal lower alpha and upper alpha power, both while watching the video lectures and generating/viewing a sentence. The two learning strategy conditions showed a larger difference in upper alpha power than in lower alpha power. Correlation analyses showed that students’ alpha power in the generative learning strategy condition was positively related to their reaction time. Based on the learning performance tests, generative learning is more effective than passive learning from video lectures; based on the EEG results, the effectiveness appears to be due to students being primed to apply a top-down processing strategy. The findings have an important practical implication: instructors can encourage students to engage in generative learning after viewing video lectures. PubDate: 2023-04-01
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Abstract: Many college students believe that typing lecture notes on computers produces better notes and higher achievement than handwritten lecture notes on paper. The few studies investigating computer versus longhand note taking yielded mixed note-taking and achievement findings. The present study investigated computer versus longhand note taking but permitted note takers to revise or recopy notes during pauses interspersed throughout the lecture. Moreover, the present study analyzed notes recorded while a lecture was ongoing and following revision pauses to determine if lecture ideas and images were recorded completely or partially. Findings did not support the belief that computers aid note taking and achievement and, instead, favored longhand note taking and revision. Computer and longhand note takers recorded a comparable number of complete and partial ideas in notes while the lecture was ongoing, but longhand note takers recorded more lecture images. Among note revisers, longhand note takers added three-times-as-many complete ideas to their notes during revision as computer note takers—an important finding because note completeness predicted achievement. Achievement results showed that longhand note takers who revised notes scored more than half a letter grade higher on a lecture posttest than computer note takers who revised notes. Present findings suggest that college instructors should provide students with revision pauses to improve note taking and achievement and encourage students to record and revise notes using the longhand method. Finally, regarding the computer versus longhand note-taking debate, the need to investigate further the interplay between note-taking medium and lesson material is discussed. PubDate: 2023-04-01
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Abstract: This study investigates the effects of a short pedagogical training on university teachers’ professional vision and (mis)conceptions concerning teaching and learning, utilizing a mixed-methods approach. Participants’ written interpretations of a video-based teaching–learning situation were analyzed and comparisons were made between prospective and current faculty teachers. Before the course, participants missed almost half of the pedagogically relevant incidents in a classroom. Generally, the short pedagogical training was successful in supporting all participants’ professional vision development. The training successfully provided all teachers’ with more in-depth reasoning skills as a result of the course. Thus, improvements in participants’ reasoning skills were identified, but interestingly not in their noticing capability. In addition, prospective teachers had more misconceptions concerning teaching and learning both before and after the training. Finally, the study discusses the implications for research on how teachers’ beliefs and conceptions are related to professional vision. PubDate: 2023-04-01
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Abstract: Prior research has shown negative relations between math anxiety and math performance. We posit that one potential pathway through which math anxiety influences performance of math equivalencies is through help seeking behavior during learning. Here, we examine whether middle school students’ behavior, specifically the frequency of hint requests, within educational technologies mediates the association between math anxiety and performance of math equivalence. Students completed a pretest measuring their performance of math equivalence and math anxiety prior to the intervention, and a posttest measuring their performance of math equivalence. We examine mediation in two online math learning technologies: From Here to There (FH2T) and ASSISTments. In both FH2T and ASSISTments, students can request hints that provide just-in-time support during problem solving. We examined whether the frequency of hint requests mediates the effects of math anxiety on performance in both conditions. Using multi-group mediation analyses, we found that math anxiety was not a predictor of hint usage in either condition when controlling for pretest performance. Further, we found that students with lower performance at the pretest used more hints in the problem set condition, and using more hints was associated with lower performance of math equivalence at the posttest. This relation was not significant in the FH2T condition, suggesting a fundamental difference in hint usage between the two technologies. These findings have implications for designing educational technologies that simultaneously promote math performance and productive help seeking behaviors in middle school students. PubDate: 2023-04-01
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Abstract: This article concerns the synergy between science learning, understanding complexity, and computational thinking (CT), and their impact on near and far learning transfer. The potential relationship between computer-based model construction and knowledge transfer has yet to be explored. We studied middle school students who modeled systemic phenomena using the Much.Matter.in.Motion (MMM) platform. A distinct innovation of this work is the complexity-based visual epistemic structure underpinning the Much.Matter.in.Motion (MMM) platform, which guided students' modeling of complex systems. This epistemic structure suggests that a complex system can be described and modeled by defining entities and assigning them (1) properties, (2) actions, and (3) interactions with each other and with their environment. In this study, we investigated students’ conceptual understanding of science, systems understanding, and CT. We also explored whether the complexity-based structure is transferable across different domains. The study employs a quasi-experimental, pretest-intervention-posttest-control comparison-group design, with 26 seventh-grade students in an experimental group, and 24 in a comparison group. Findings reveal that students who constructed computational models significantly improved their science conceptual knowledge, systems understanding, and CT. They also showed relatively high degrees of transfer—both near and far—with a medium effect size for the far transfer of learning. For the far-transfer items, their explanations included entities’ properties and interactions at the micro level. Finally, we found that learning CT and learning how to think complexly contribute independently to learning transfer, and that conceptual understanding in science impacts transfer only through the micro-level behaviors of entities in the system. A central theoretical contribution of this work is to offer a method for promoting far transfer. This method suggests using visual epistemic scaffolds of the general thinking processes we would like to support, as shown in the complexity-based structure on the MMM interface, and incorporating these visual structures into the core problem-solving activities. PubDate: 2023-03-22
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Abstract: Estimating and accounting for statistical uncertainty have become essential in today’s information age, and crucial for cultivating a sound decision making citizenry. Engaging with statistical uncertainty early on can support the gradual development of uncertainty-related considerations that are often challenging to foster at any age. Statistical modeling is a promising introductory practice given the key role played by statistical uncertainty. However, the probabilistic language and tools utilized to formally account for statistical uncertainty are typically seen as insurmountable hurdles to the meaningful engagement of elementary school students. The goal of this article is to demonstrate the pedagogical potential of a particular learning sequence based on an informal adaptation of statistical modeling, integrating student-led real-world investigations and statistical modeling activities. An instrumental case study of a pair of 12-year-old students’ process illustrates how young learners construct informal accounts of statistical uncertainty as they engage in these activities. The discussion centers on the aspects of the learning sequence and guidance that supported their progression. PubDate: 2023-03-14 DOI: 10.1007/s11251-023-09622-y
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Abstract: As science and technology create an ecosystem that is becoming increasingly more knowledge-intensive, complex, and interconnected, the next generation science standards include systems thinking and systems modeling among 21st skills that should be fostered. We examined the effect of an online cross-disciplinary learning process on the development of systems thinking and modeling skills among engineering students and engineering and science teachers. The study, which used quantitative and qualitative tools, included 55 participants who performed four food-related learning assignments and created conceptual models in Object-Process Methodology. Their responses to online assignments were analyzed along with their perceptions, captured via a reflection questionnaire. The online learning process in this study effectively enhanced systems thinking and modeling skills of all learners, including those with no relevant background. One main conclusion that extends beyond the online learning was that imparting the basics of systems thinking and conceptual modeling skills can be achieved even within a short period of time—less than one semester. The contribution of the study is the formation of theoretical and practical frameworks for the integration of an cross-disciplinary model-based systems engineering online assignments into engineering and science curricula. PubDate: 2023-03-14 DOI: 10.1007/s11251-023-09625-9
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Abstract: Open-mindedness is defined as one’s willingness and ability to consider opposing beliefs and perspectives and give them a serious, impartial consideration by setting aside one’s commitment towards one’s own beliefs and perspectives. Learning to prepare and teach open-minded lessons is a crucial skill for student teachers because it fosters an atmosphere in which pupils feel free to express their own views and to learn about the views of others. The aim of this experiment was to examine which instructional strategy best supports student teachers’ learning to prepare an open-minded citizenship education lesson. Therefore, participants (n = 176) processed an instruction on how to prepare an open-minded citizenship education lesson through learning by teaching on video, preparing to teach, or re-study (control condition), and as a post-test designed a lesson plan. We examined the completeness and accuracy of the explanations of the instructional content, feelings of social presence and arousal, open-mindedness levels, the completeness and accuracy of the lesson plans, and the conceptual knowledge of the instructional content. In addition, the lesson plans were graded on overall quality. Results showed that all participants scored higher on open-mindedness as measured with the Actively Open-minded Thinking scale after the experiment than before the experiment. Participants in the control condition prepared significantly more accurate and complete open-minded lessons than participants in the other two conditions, suggesting they have gained better understanding of the instructional content. There were no significant differences between the conditions on the other outcome measures. PubDate: 2023-02-28 DOI: 10.1007/s11251-023-09623-x
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Abstract: Solving a novel problem has recently garnered some attention as a viable alternative to traditional explicit instruction in the preparation of students for learning. This study investigated the effectiveness of introducing problem-solving tasks and worked examples prior to explicit instruction, along with the use of contrast, for gifted and non-gifted adolescents. One hundred and ninety-nine students from academically selective government and Independent high schools participated in this study. The 2 × 2 × 2 research design that was used examined the effects of giftedness (i.e., gifted vs. non-gifted), instruction-type (i.e., problem-solving vs. worked examples), and structure (i.e., high vs low contrast materials) on the learning outcomes of transfer and procedural knowledge. The study also examined the impact of explicit instruction and invention-first instruction strategies on non-performance variables—self-efficacy, extraneous load, experience of knowledge gaps, and interest. The results of the study suggested that invention-first instruction may be more effective than example-first instruction in transfer, and that gifted students may benefit more from invention-first instruction than example-first instruction. The use of contrast materials was not found to affect performance. Furthermore, instruction was found to have no significant effects on the investigated non-performance variables. Collectively, these findings challenge the conventional teaching modality of explicit instruction in gifted education, and puts forward the possibility of the invention-first strategy as an effective instructional strategy for gifted students. PubDate: 2023-02-16 DOI: 10.1007/s11251-023-09616-w
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Abstract: The “Integrated Development of Key Competences” has been identified as the core idea in education to face competition in the 21st century. Similarly, reform efforts in science education emphasize the importance of integrating scientific practices and disciplinary core ideas. The learning progression (LP) is viewed as a robust tool to facilitate this integrated development. In this study, we integrated learning progressions of energy understanding and scientific explanation into an LP-based intervention to facilitate the instructional design of a middle school energy unit. A quasi-experiment was conducted with 3 teachers and their 184 students to examine the effects of the LP-based intervention on teacher instructional actions and student learning outcomes when compared to traditional instruction. Synthesizing video analysis and pre/posttests, the following results were obtained. (1) LP-based intervention influenced the treatment group’s instructions. (2) The performance of both the treatment and comparison groups of students improved, but students in the treatment group demonstrated a better understanding of energy and were more competent in constructing scientific explanation. The article concludes by discussing implications for the future curriculum design and professional development of teachers. PubDate: 2023-02-14 DOI: 10.1007/s11251-023-09620-0
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Abstract: We adopted a person-oriented approach to identify patterns of how classroom talk and internal behavioral engagement are combined in students. The research was conducted on a sample of 639 ninth-grade students (32 classes). We measured the duration of classroom talk for each individual student during Czech language and language arts lessons. The students completed an inventory to determine their internal behavioral engagement. Student achievement was measured using the results from standardized reading literacy tests. We also inquired about the socioeconomic backgrounds of the students. We identified five distinct participation profiles (eager, chatty, diligent, aloof, and disconnected) and analyzed whether the profiles could predict student achievement. We found that the profile with high talk and high internal behavioral engagement performed best, and the profile with low talk and low internal behavioral engagement performed worst. Analyzing the inconsistent profiles, we found that high internal behavioral engagement did not guarantee student achievement if the engagement was not accompanied by talk. Our findings thus highlight the important role of classroom talk in relation to student learning. PubDate: 2023-01-23 DOI: 10.1007/s11251-022-09609-1
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Abstract: Understanding scientific phenomena requires learners to construct mental models of causal systems. Simulation-based discovery learning offers learners the opportunity to construct mental models and test them against the behavior of a simulation. The purpose of this study was to investigate sequential patterns of learner actions and utterances associated with outcomes of simulation-based guided discovery learning. We conducted a sequence analysis of data gathered from 11 undergraduate students engaged in discovery learning. Three related methods were used for the sequence analysis: Levenshtein edit distance, k-means clustering of the Levenshtein distance, and the Kohonen generalized median sequence. The median sequences of high-gaining and low-gaining participants showed qualitative differences in how they gathered evidence, stated claims, and drew explanatory inferences. Differences between the sequences of actions and utterances of high-gaining and low-gaining participants suggested ways that students might be guided to enhance discovery learning. By tracking the learning patterns of learners, researchers can determine the conditions under which prompts should be provided and offer recommendations for transforming less effective learning strategies to more effective ones. PubDate: 2023-01-11 DOI: 10.1007/s11251-022-09614-4
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