Instructional Science

Instruction often spans multiple phases (e.g., phases of discovery learning, instructional explanations, practice) with different learning goals and different pedagogies. For any combination of multiple phases, we use the term composite instructional design (CID). To understand the mechanisms underlying composite instructional designs, we propose a framework that links three levels (knowledge, learning, instruction) across multiple phases: Its core element is the specification of learning mechanisms that explain how intermediate knowledge (i.e., the knowledge state between instructional phases) generated by the learning processes of one phase impacts the learning processes of a following phase. The CID framework serves as a basis for conducting research on composite instructional designs based on a cognitive analysis, which we exemplify by discussing existing research in light of the framework. We discuss how the CID framework supports understanding of the effects of composite instructional designs beyond the individual effects of the single phases through an analysis of effects on intermediate knowledge (i.e., the knowledge state resulting from a first instructional phase) and how it alters the learning processes initiated by the instructional design of a second phase. We also aim to illustrate how CID can help resolve contradictory findings of prior studies (e.g., studies that did or did not find beneficial effects of problem solving prior to instruction). Methodologically, we highlight the challenge of altering one learning mechanism at a time as experimental variations on the instructional design level often affect multiple learning processes across phases.

In teacher education, video representations of practice offer a motivating means for applying conceptual teaching knowledge toward real-world settings. With video analysis, preservice teachers can begin cultivating professional vision skills through noticing and reasoning about presented core teaching practices. However, with novices’ limited prior knowledge and experience, processing transient information from video can be challenging. Multimedia learning research suggests instructional design techniques for support, such as signaling keyword cues during video viewing, or presenting focused self-explanation prompts which target theoretical knowledge application during video analysis. This study investigates the professional vision skills of noticing and reasoning (operationalized as descriptions and interpretations of relevant noticed events) from 130 preservice teachers participating in a video-analysis training on the core practice of small-group instruction. By means of experimental comparisons, we examine the effects of signaling cues and focused self-explanation prompts on professional vision performance. Further, we explore the impact of these techniques, considering preservice teachers’ situational interest. Overall, results demonstrated that preservice teachers’ professional vision skills improved from pretest to posttest, but the instructional design techniques did not generally offer additional support. However, moderation analysis indicated that training with cues fostered professional vision skills for preservice teachers with low situational interest. This suggests that for uninterested novices, signaling cues may compensate for the generative processing boost typically associated with situational interest. Research and practice implications involve the consideration of situational interest as a powerful component of instructional design, and that keyword cueing can offer an alternative when interest is difficult to elicit.

The content of argumentative essays is determined by multiple factors, but belief influences are understudied compared to topic knowledge and argument schema. We investigate how beliefs influence the inclusion of basic components in argumentative writing. A pre-screening survey identified believers and disbelievers in gun control effectiveness. In a subsequent laboratory session, subjects (N = 324) read a one-sided text that was either consistent or inconsistent with their beliefs. Subjects then reported their beliefs and wrote a 250-word argumentative essay explaining them. These essays were coded for the presence or absence of a claim, the number of reasons supporting the claim, the presence of a counterargument, text content, and other factors. 682 supplementary subjects provided approximately 10 ratings for each essay on several factors, including position, clarity, and consideration of both sides. Subjects who read a belief consistent text wrote essays that were more likely to contain a claim, more reasons, and text content. Subjects who read a belief inconsistent text were more likely to include an evaluative statement about the text and to consider both sides of the issue. Individual differences in belief change were related to the likelihood of stating a claim, the number of reasons, and likelihood of mentioning text content. Results suggest that beliefs influence the basic components of argumentation that are included in argumentative essays. Theoretical and practical implications of these findings are discussed.

As educational systems design and build new spaces aimed for learning in the digital age, small group configurations around large screens have become a highly popular spatial feature in classrooms and libraries. In this paper, we introduce the idea of intermediate indexing as occurring in the space between the knot of intertwined resources at the fine-grained level of interactions and the public knowledge building effort at the community level. Arguing that these intermediate processes occur in these configurations, we explored a classroom community that studied within a learning space designed to support knowledge building between individuals, small groups, and the community. In this paper, we report on our interaction analysis of a small group of students around a large screen as they negotiate a set of ideas that they want to make public to their community. The results of this study elucidate how collective monitoring of artifacts and documents, inclusive participation structures, and fluid turn-taking transitions in these configurations ultimately contribute to the knowledge building effort.

This study explored the use of an innovative instructional approach called Productive Failure (PF) to design an educational game and its support. The study then examined the effects of two different types of instruction—PF vs. Direct Instruction (DI)—on learning genetics and relevant mathematical knowledge in a Game-Based Learning (GBL) environment. One hundred fifty-seven Year 10 students from two high schools participated in two quasi-experimental studies. The participants were divided into two treatment groups: one group learned targeted concepts using PF with GBL (PF-GBL), while the other group learned the same concepts using DI with GBL (DI-GBL). The results of the first study indicated that the PF-GBL group showed significantly higher learning gains than the DI-GBL group on explanatory genetics knowledge. In the second study, no group difference was found between the PF-GBL group and the DI-GBL group on learning genetics and relevant mathematical knowledge. Implications of findings, limitations, and future research are discussed.

The present study examines the influence of individual competencies on knowledge integration in inter- and transdisciplinary work. Perspective taking, reflexivity, analogical reasoning, and tolerance of ambiguity and uncertainty were investigated as core competencies for fostering knowledge integration. Additional hypotheses assumed that the positive effects are valid in the scientific and economic contexts and that individual competencies predict knowledge integration at different levels of expertise. To test the hypotheses, 421 participants, comprised of students (N = 165) and individuals working in science (N = 152) and economics (N = 104), answered questionnaires on knowledge integration and competencies of knowledge integration in an online survey. Further questions collected demographic data and inquired about experience and expertise in inter- and transdisciplinary work. The main result was that all postulated competencies positively related to knowledge integration. Analogical reasoning and perspective taking showed the strongest relationships with knowledge integration. Further results show that all competencies are positively related to knowledge integration in the student and expert sample, yet the interrelationships differ between the scientific and economic sample. This investigation into the competencies of knowledge integration contributes to the education of inter- and transdisciplinarians in academia and business practice.

Research suggests that troubleshooting activities that require students to reflect on teacher-crafted erroneous examples; i.e., erroneous solutions to problems that correspond to widespread naïve ideas, are beneficial to learning. One possible explanation to these beneficial effects is that troubleshooting activities encourage students to test the quality of their own naïve ideas, not only the ones driving the erroneous examples, thereby improving learning. Few studies have addressed this claim, and the results are inconsistent. These studies, however, were not designed to examine the extent to which students with different naïve ideas benefit from troubleshooting activities. Here, ten 9th grade classes took part in a field experimental study that applied a pre-post-test design after finishing a unit on exponents. Students in each class were randomly assigned to a troubleshooting (114 students) or a self-diagnosis activity (112 students). Self-diagnosis activities are considered to directly nudge students to examine the quality of their own naïve ideas by requiring them to reflect on their solutions. The troubleshooting and self-diagnosis activities both capitalized on the pre-test problems. Both groups increased their proficiency in exponents to a comparable extent from the pre-test to the immediate and the delayed post-test. Troubleshooting students with different naïve ideas detected the errors in the erroneous examples equally well, and their error detection significantly and positively correlated with their self-repair of their own naïve ideas. These findings suggest that all the students benefitted from troubleshooting activities, regardless of whether their own naïve ideas resembled the ones driving the erroneous examples or not.

The conceptualization of pre-service teachers’ knowledge integration typically involves the distinction of two types: first-order knowledge integration, which includes merging domain-specific knowledge entities into a common knowledge base, and second-order knowledge integration, which refers to the integrated (simultaneous) application of knowledge from diverse domains. This study investigates the effect of instructional prompts in the form of (a) relevance instructions and (b) guiding questions on promoting pre-service teachers’ first-order knowledge integration in a reading- and writing-based learning setting with three domain-specific study texts: one text each referring to content knowledge (CK), general pedagogical knowledge (PK), or pedagogical-content knowledge (PCK). Furthermore, the study explores whether pre-service teachers’ second-order knowledge integration depends on the degree to which they engaged in first-order knowledge integration when reading and writing about different domain-specific learning contents. The study applied a three parallel group experimental design. An analysis of essays written by N = 83 German language pre-service teachers indicated positive effects of both prompts on first-order knowledge integration. Moreover, a mediation analysis showed that pre-service teachers’ second-order knowledge integration is mediated by their first-order knowledge integration. The results are discussed and integrated into the existing body of research, practical implications are presented, and limitations of the study are explained.

This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students’ judgements of knowledge structure in relation to AKG, it strengthens the underlying mechanisms of PS-I. With sixteen university students as participants, this study quantitatively and qualitatively analyzes conversations that take place during problem-solving activities. In the analysis, the authors suggest a total of ten cognitive and metacognitive events that occur and six judgements of knowledge structure in relation to AKG. The findings indicate that students spend most of their time solving the problem and seldom evaluate their thoughts; few express awareness of a knowledge gap. The authors discuss the relationships between the judgements of knowledge structure and consider when—and to what extent—students perceive their knowledge gaps. Lastly, the authors bring four learning behaviors (i.e., representing and reflecting on knowledge; recognizing and specifying knowledge gaps) with possible instructional strategies to promote each learning behavior.