Instructional Science

The rising application of Generative Artificial Intelligence (GenAI) tools like ChatGPT, Bing Chat, and Bard in language teaching and learning heralds a transformative era. Yet, the experiences and perspectives of university students on integrating these tools into their translation studies remain underexplored. This qualitative study, conducted in a research-intensive, Sino-foreign cooperative university in southern China, explored university students’ perceived benefits and challenges of utilizing GenAI in translation practices, as well as their preferred support mechanisms for addressing encountered issues. Data was collected through open-ended questionnaires and semi-structured interviews and analyzed by using reflexive thematic analysis. Results underscored the advantages of GenAI in enhancing translation efficiency, quality, learning, and practice, fostering a positive outlook and social benefits. Nevertheless, issues such as adequacy, prompt engineering efficacy, practical application, technical limitations, accountability, transparency, and potential AI dependency were noted. Beyond existing self-help strategies, there was an expressed need for additional guidance from educators and institutions. This study enriches our comprehension of how university students perceive and engage with GenAI tools in translation, offering insights for educators and academic institutions to optimize future teaching strategies. It also outlines the study’s limitations and proposes directions for subsequent research.

Exploratory learning before instruction typically benefits conceptual understanding compared to traditional instruction-first methods. The current study examined whether different exploration prompts impact students’ exploration approaches and learning outcomes, using a quasi-experimental design. Undergraduate students (N = 164) in psychological statistics courses were taught the procedure and concepts of standard deviation. Students in the instruct-first condition received direct instruction then a practice problem. Students in the explore-first conditions attempted the problem before instruction, with exploration prompts differing between conditions. Students in the explore-first invent condition were asked to invent a formula; students in the explore-first generate condition were asked to come up with different ways of measuring consistency. Students in the explore-first generate condition scored significantly higher on procedural knowledge (problem solving) than in the explore-first invent condition, conceptual knowledge than in both other conditions, and preparation for future learning (transfer) than in the instruct-first condition. Students in the explore-first invent condition scored no differently on any learning outcomes than in the instruct-first condition. Students given the strategy generation prompt more broadly explored different strategies during the exploration activity, but used fewer correct solution steps than those given the invention prompt. Broader exploration—and not accuracy—was associated with higher conceptual knowledge. Conversely, students in the instruct-first condition used fewer, more accurate, strategies on the activity compared to the explore-first conditions. They also showed greater misconceptions during the activity and posttest, indicating superficial understanding. Both explore-first conditions induced greater awareness of knowledge gaps compared to the instruct-first condition. Generating multiple strategies likely helped students discern important problem features, deepening conceptual structures that supported learning even beyond the initial lesson.

Any teaching method may have both strengths and weaknesses concerning student learning outcomes. The current study investigated the moderating roles of student dispositions in the relationship between instructional activity and science literacy performance based on data from the Program of International Student Assessment (PISA) 2015. Using samples from the US (n = 7,875) and China (n = 9,081), we found the moderating role of student science self-efficacy in relationships between instructional activity and student science literacy. The findings suggested that instructional activity showed a differential association with science literacy outcomes depending on the level of student science self-efficacy across the two countries. In addition, all student disposition variables appear to be significantly associated with science literacy performance. These results suggest that student dispositions should be considered an integral part of science learning processes.

Discussion has become a crucial method of interactive learning in online collaborative environments. This study aims to identify the impact of different task motivation compositions and learning scaffolding on attention, learning performance, and behavioral patterns. The 90 Chinese undergraduate and graduate students (Mage=20.38, SDage=1.63) were told that they would be engaged in an online collaborative knowledge-building task with a virtual peer and a teacher. The peer and the teacher were actually simulated participant and their responses were pre-set. ANOVA results indicated that task motivation, but not learning scaffolding, had a significant effect on attention. Task motivation and learning scaffolding interactively accounted for learning performance. Furthermore, the result of mediation analysis shows that the association between task motivation and learning performance was mediated by attention, but the indirect effects of all the mediating variables were not significant between learning scaffolding and learning performance. In addition, students’ deep knowledge construction behavior in online discussion increased significantly in the conceptual and reflective scaffold conditions compared to just providing conceptual scaffolding irrespective of task motivation. These results suggest that although learning scaffolding does not significantly improve learners’ visual attention, the contribution of learning scaffolds to online discussion cannot be neglected. The practical implications of this study for online education are that learning scaffolding, especially reflective scaffolding, should be provided as a way to engage learners in productive, difficult conversations and improve the quality of their discussions in addition to enhancing task motivation.

This research sought to answer the question about what students learnt from a self-regulated learning (SRL) video annotation tool in a hybrid secondary acting classroom. SRL is an important skill for students to self-direct their own learning processes. For the intervention, students engaged in a series of SRL activities through the video annotation tool, VideoAnt, for six weeks during the distance learning period. A convergent parallel mixed methods design was conducted. Quantitative data was collected using the International Thespian Society – Acting Rubric to assess students’ acting skills. Qualitative data was collected via semi-structured individual interviews. Quantitative findings demonstrated students gained proficiency in acting skills after using the video annotation tool in the acting classroom. Interview data about participants’ perceptions of the intervention were analyzed to triangulate quantitative findings. Implications of these findings for theatre/art educators and academics investing in SRL are discussed.

Learning of motor skills in physical education classes occurs through different instructional approaches: via instructional explanations from the teacher (I), and via self-determined practice (problem-solving; PS). In our study, we explored whether the sequence of PS and I impacts performance enhancement among primary school children learning javelin throwing. Fifty 4th graders participated and were allocated to either I-PS or PS-I or PS-I with additional practice. Across groups, the children demonstrated improvements in executing movement features, yet there was no significant improvement in throwing distance. The temporal order of PS and I did not mediate these improvements. Additional practice did not lead to further improvements in performance. Our results contrast with earlier results in secondary school children in whom PS-I was more effective than I-PS Loibl & Leukel (2023). The lack of a significant advantage for PS-I over I-PS could stem from the primary children’s limited ability to develop declarative knowledge during PS that links to the content of I.

One discussion in the context of education for sustainable development centers around the importance of suitable teaching materials for promoting pro-environmental attitudes. Especially applications that let learners travel to otherwise difficult to reach places seem promising for digital sustainability education that is both accessible and socially just. Applications for German-speaking learners are however rare, and it has often not been checked whether those that exist are fit for classroom use. Therefore, this paper focuses on an investigation of the Virtual Reality (VR) learning application "On Biodiversity’s Tracks", developed by greenpeace, with a focus on the environment of the Amazon rainforest. In an experimental study, (1) VR-based and (2) traditional lesson conditions were compared in terms of their effects on self-appraisal of knowledge, interest, and attitude. Pre- and post-questionnaires were used to uncover between-subject and within-subject effects. 172 students at eight secondary schools in Germany were recruited. The results revealed that both experimental conditions were effective regarding increase of self-appraised knowledge. An increase in interest was barely found in either condition. Changes at the attitudinal level could mostly not be discovered. Further analyses highlighted that, unlike the experimental conditions, there were significant differences in self-rated learning outcomes between the types of schools. In general, our results indicate that VR learning applications can contribute to the teaching of topics such as sustainability and biodiversity in a target group-oriented and meaningful way. However, further research is needed to adequately assess VR learning effectiveness, especially regarding affective learning outcomes, due to their importance for sustainable behaviors of subsequent generations.

Instructors traditionally lecture on new content before providing practice problems, but learning is often superficial. Exploratory learning before instruction deepens conceptual understanding by giving students a novel activity to explore before direct instruction. We examined how increasing the salience of contrasting cases in exploration versus practice activities impacts these learning benefits. Undergraduate students in statistics courses (Experiments 1–2) or a lab study (Experiment 3) completed a problem-solving activity either before (explore-first condition) or after (instruct-first condition) instruction about statistical variance. In Experiment 1 (N = 116), the problem-solving activity included a dataset with minimally contrasting cases. In Experiment 2 (N = 143), the activity increased the contrasts between cases to highlight important problem features. In Experiment 3 (N = 225), students were randomly assigned to complete problems with either minimal or increased contrasts. Students completed a posttest measuring conceptual understanding. When contrasts were minimal (Exps. 1&3), posttest scores were equal between explore-first and instruct-first conditions. When contrasts were increased (Exps. 2&3), posttest scores were higher in the explore-first condition compared to the instruct-first condition. However, in Experiment 3, minimal contrasts led to middling scores that were neither better nor worse than increased contrasts. Students in the instruct-first conditions used fewer correct problem steps on the learning activity when given increased compared to minimal contrasts, suggesting disengagement. Exploratory learning before instruction may help deepen cognitive engagement, showing benefits only when students might otherwise disengage.

The study examined the influence of feedback features on revision uptake in dialogic peer feedback activities, and the moderating effect of self-efficacy and prior knowledge on this relationship. Data were collected over a 10-week course at a comprehensive university in China, involving 29 students and resulting in 242 revision-oriented comments. To understand peer feedback features, we analyzed the feedback received by students in terms of cognition (identification, explanation, suggestion, or solution) and affect (positive, negative, positive-and-negative, or neutral). Binary logistic regression analysis revealed that: (1) explanation, suggestion and positive-and-negative evaluation negatively predicted revision uptake; (2) self-efficacy had a significant positive effect on revision uptake, and also played a role in moderating the relationship between explanation and uptake; (3) although prior knowledge could not directly predict revision uptake, it moderated the relationship between positive-and-negative evaluation and feedback uptake. These findings have instructional implications for designing and organizing peer feedback activities.

Cognitive load studies are mostly centered on information on perceived cognitive load. Single-item subjective rating scales are the dominant measurement practice to investigate overall cognitive load. Usually, either invested mental effort or perceived task difficulty is used as an overall cognitive load measure. However, the extent to which the results of these two single-items differ has not yet been sufficiently investigated. Although subjective rating scales are widely used, they are criticized and questioned as their validity is doubted. This study examines construct validity of both cognitive load rating scales (invested mental effort, perceived task difficulty) using relative task difficulty and task demands (cognitive processes and availability of possible answer options) as criteria, adds further evidence supporting the validity of single-item subjective ratings as an indicator for overall cognitive load, and shows how ratings of cognitive load differ when the invested mental effort or the perceived task difficulty item is used. The results indicate that self-ratings might be influenced by the availability of possible answer options as well as cognitive processes necessary to work on a task. The findings also confirm the idea that self-ratings for perceived task difficulty and invested mental effort do not measure the same but different aspects of overall cognitive load. Furthermore, our findings clearly advise to precisely examine at which point and how frequently cognitive load is measured as delayed ratings are closely related to more demanding items within a set of items. Considering advantages of single-item subjective ratings (easy to implement even in huge samples, low time exposure, and suitableness for repeated measures) and disadvantages of alternative ways to measure cognitive load (regarding cost and time efficiency and problem of additional load), current results confirm the use of these items to get an impression of the overall cognitive load. However, the results also suggest that both items do not measure the same thing and researchers should therefore discuss carefully which item they use and how this may limit the results of their study.

In learning journals, prompts were shown to increase self-regulated learning processes effectively. As studies on effects of long-term prompting are sparse, this study investigates the effects of prompting cognitive and metacognitive self-regulation strategies short-term and long-term in learning journals on learners’ strategy use, self-efficacy, and learning outcome. Therefore, 74 university students kept a weekly learning journal as follow-up course work over a period of eight weeks. All students’ learning journals included prompts for a short-term period, half of the students were prompted long-term. While self-efficacy was assessed via self-reports, strategy use was measured with self-reports and qualitative data from the learning journals. Learning outcomes were assessed via course exams. Short-term prompting increased self-reported cognitive and metacognitive strategy use, and the quantity of cognitive strategy use. Yet, it did not affect self-efficacy, which predicted the learning outcome. Irrespective whether prompting continued or not, self-reported cognitive and metacognitive strategy use, and self-efficacy decreased. Qualitative data indicate that the quantity of learners’ cognitive strategy use kept stable irrespective of the condition. The results indicate that short-term prompting activates cognitive and metacognitive strategy use. Long-term prompting in learning journals had no effect on strategy use, self-efficacy, and performance. Future research should investigate possible enhancers of long-term prompting like feedback, adaptive prompts or additional support.

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.

Discourse analysis, as a mainstream research method in classroom teaching, has gained widespread attention in education. Educators believe that children's thinking development requires support from interactive discourse. In this study, four primary school mathematics classes were segmented based on the form, frequency, content, and purpose of teacher-student interactions. A total of 73 dialogue segments were selected for coding, resulting in 338 codes. The coding process was based on the turn of talk and assigned corresponding coding numbers to the content of teacher-student discourse in the fragments according to the Bloom-Turney teaching questioning code list and the Hierarchical Framework of Student Thinking Level based on Biggs-Collis Structure of the observed learning outcome. The results show that Knowledge level question (Q1), Understanding level question (Q2), Application level question (Q3), Synthesis level question (Q5), and Evaluation level question (Q6) are related to students' low-level thinking. The questions of Analysis level (Q4), Synthesis level (Q5), and Evaluation level (Q6) are related to students' high-level thinking. We found that there are variety of interactive structures between teachers and students in the question and answer session, among which three interaction structures show significant performance, namely Q2 → M (Multiple-point structural level) → Q4 → C (Correlational structural level), Q3 → M → Q4 → C, Q3 → M → Q6 → A (Abstract-extension level), these structures can show how teachers timely adjust the types of questions according to students' answers to improve students' thinking level.

Transfer of responsibility for learning from the teacher to the learner has been considered the final aim of successful scaffolding. Despite this importance, few studies have been conducted in this area. The present conversation analytic study examined the scaffolding interactions of a sample of Iranian English language teachers to identify how responsibility for learning was transferred in scaffolding interactions. The teachers were divided into two groups of novice and experienced based on the criteria proposed in the extant literature. The results showed that the novice and experienced language teachers enacted transfer differently. The novice teachers used more high-support moves, like models and questions with scarce use of low-support moves, thereby mostly curbing the transfer process. However, the experienced teachers used a wider range of scaffolding strategies especially low-support moves to encourage learners to use their learning potentials. The novice teachers mismanaged repair-initiations while experienced teachers mainly ended repair-initiations in self-repairs. The study suggests that the teachers’ experience level can significantly impact their scaffolding interactions with students. Further, it highlights the significance of providing ongoing professional development and training opportunities for language teachers to improve their ability to provide effective scaffolding. Overall, the study highlights the need for continued research in this domain.

Online reading for academic purposes is a complex and challenging activity that involves analysing task requirements, assessing information needs, accessing relevant contents, and evaluating the relevance and reliability of information given the task at hand. The present study implemented and tested an analytical approach to strategy training that combined a detailed, step-by-step presentation of each strategy with the integration of various strategies across modules and practice tasks. One hundred sixty-seven university students were assigned to either a treatment or a control condition. The training program was implemented as part of a digital literacy course. Instructors received background information and instructional materials prior to the beginning of the term. The intervention improved students’ performance on a set of search and evaluation tasks representative of the target skills, although to varying extent. The impact was higher for evaluation than for search skills, in terms of accuracy and quality of students’ justifications. The data provides initial evidence that an analytical approach may foster university students’ use of advanced reading strategies in the context of online reading. Implications for instruction and future research are discussed.

To maximize our teacher candidates’ learning about culturally and linguistically diverse students, we developed and implemented Case-Based Instructional (CBI) Modules (Language, Identity, Family, Assumptions) in two teacher preparation courses at a US university. We examined the Modules’ impacts on teacher candidates’ learning, self-efficacy, attitudes, and transfer of learning to novel contexts. Examining the Modules’ effectiveness within and across two delivery modes indicated that both instructor-facilitated and instructor-supported approaches to CBI elicit similar positive attitudes and are effective in enhancing teacher candidates’ learning, but not transfer. When teacher candidates’ analyses of cases were not facilitated by instructor, however, there were some missed opportunities for learning.

Recent research has shown that enhancing instructional videos with questions, such as self-explanation prompts, and thus shifting the process from receptive to constructive learning, is beneficial to learning. However, the inclusion of questions is often confounded with the implementation of learner pacing through navigation features. Furthermore, previous studies have often not controlled for learning time. To address these shortcomings, an experiment (N = 128) was conducted. Participants watched an instructional video about cloud formation and lightning, with learning time controlled. In a 2 × 2 between-subjects design, navigation features (learner pacing vs. system pacing) and self-explanation prompts (prompts vs. no prompts) were manipulated. The results showed no effects of navigation features and self-explanation prompts on learning performance. While navigation features did not affect cognitive load, self-explanation prompts increased both intrinsic and extraneous cognitive load. Overall, the quality of responses to prompts was low but positively related to comprehension. The results are discussed in terms of the Interactive-Constructive-Active-Passive framework and Cognitive Load Theory. They highlight the importance of boundary conditions when investigating the effects of interactive features in instructional videos.

Tinkering learning is a pedagogical strategy that emphasizes hands-on exploration, experimentation, and learning from mistakes in STEM education. It involves using personal fabrication tools, such as a 3D printer, to develop and improve ideas through interactive play. Design-based making activities have gained popularity in K-12 classrooms as they provide students with this authentic learning experience. This descriptive case study aims to understand the impact of students' interactions with a 3D printer on their tinkering learning during a formal design-based making activity. Specifically, the study explores what types of learning paths students follow when developing and improving their ideas through tinkering and what factors negatively affect this iterative design experience. In this design-based making activity, students tinker both in the digital world with Tinkercad and in the physical world with a 3D printer. Approaching real-world problems through iterative design can change their production-oriented actions. To understand the impact of this change on their tinkering learning, the study observes students’ actions and collects their reflections on their tinkering through multiple surveys. The analysis revealed that students followed one of three different paths that led to varying levels of tinkering learning and that their tinkering experiences were negatively impacted by five major factors.