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1.
A possible explanation for why students do not benefit from learner-controlled instruction is that they are not able to accurately monitor their own performance. The purpose of this study was to investigate whether and how the accuracy of metacognitive judgments made during training moderates the effect of learner control on performance when solving genetics tasks. Eighty-six undergraduate students solved self-selected genetics tasks using either a full learner control or a restricted learner control. Results indicated that learner control effectiveness was moderated by the absolute accuracy (i.e., absolute bias) of metacognitive judgments, and this accuracy was a better predictor of learning performance for full learner control than for restricted learner control. Furthermore, students’ prior knowledge predicted absolute accuracy of both ease-of-learning judgments (EOLs) and retrospective confidence judgments (RCJs) during training, with higher prior knowledge resulting in a better absolute accuracy. Overall, monitoring guided control, that is, EOLs predicted time-on-task and invested mental effort regardless of the degree of learner control, whereas RCJs predicted the total training time, but not the number of tasks selected during training. These results suggest that monitoring accuracy plays an important role in effective regulation of learning from problem-solving tasks, and provide further evidence that metacognitive judgments affect study time allocation in problem solving context.  相似文献   

2.
Eight learning disabled (LD) junior high school students were taught goal-setting and self-regulatory skills in a resource room setting. The training program was designed to help students set realistic goals, develop plans to achieve these goals, monitor and evaluate their own behavior, and accept responsibility for the outcome of goal-directed activities. The goal-implementation strategy was effective in increasing some students' rates of assignment completion in the resource room and the regular classroom. Following the training program, students attributed success to effort; failure was attributed to effort, luck, and task difficulty.  相似文献   

3.
Scientific reasoning skills can be acquired through technology-enhanced inquiry tasks or video modeling examples showing how to conduct virtual experiments. However, inquiry tasks can be cognitively demanding for novice learners, whereas video modeling examples can induce overconfidence. The present study investigated the effectiveness of both approaches in isolation and combination. We compared the effects of four groups (example-example, example-task, task-example and task-task) on learning outcomes, perceived difficulty and mental effort, judgments of learning, and monitoring accuracy among 107 seventh graders. In line with our hypotheses, watching a video modeling example first led to lower mental effort, better learning outcomes, and higher judgments of learning than solving an inquiry task first. Contrary to our hypotheses, all groups underestimated their performance. Results for mental effort and learning outcomes corroborate research on worked examples, whereas results for judgments of learning and monitoring accuracy indicate an underconfidence-with-practice effect.  相似文献   

4.
Accuracy of students’ judgments of learning (JOLs) plays an important role in self-regulated learning. Most studies on JOL accuracy have focused on learning word pairs and text but problems-solving tasks are also very important in education. This study investigated whether children in grade 3 could differentiate in their JOLs between problem-solving tasks that varied in complexity. Participants (N = 76, 8–10 years old) engaged in solving four arithmetic problems, rated mental effort invested in each problem, gave either immediate or delayed JOLs, and completed a test containing isomorphic problems. The negative correlation that was found between invested mental effort and JOLs suggested that children's JOLs are sensitive to differences in complexity of the problem-solving tasks. Results on the relative and absolute accuracy of JOLs showed that immediate JOLs were numerically higher than delayed JOLs, and relative accuracy of immediate JOLs was moderately accurate, whereas delayed JOLs were not.  相似文献   

5.
From a self-regulated learning perspective, adequate monitoring of own learning processes and outcomes is crucial to regulate one's own learning effectively. Research on metacognitive judgments, however, clearly indicates that students frequently overestimate their actual performance. Therefore, the present study with N = 209 undergraduate students aimed to support students in developing accurate judgments in order to improve learning processes and, eventually, performance. A quasi-experimental design with three conditions (metacognitive training, testing, and control) and five testing sessions was implemented. In addition to repeated testing plus individual feedback in the testing group, students in the metacognitive training group received psychoeducation, made item-specific judgments, and were given feedback. Over and above the positive effects of repeated testing, metacognitive training positively influenced several monitoring accuracy scores (bias, absolute accuracy, and specificity) and students' performance. Moreover, the metacognitive training group exhibited a nonlinear interindividual decrease in overconfidence. Overall, the study provided considerable evidence that monitoring accuracy and performance can be improved by means of judgment training.  相似文献   

6.
Giving students complex learning tasks combined with peer-assessment tasks can impose a high cognitive load. Scaffolding has proven to reduce cognitive load during learning and improve accuracy on domain-specific tasks. This study investigated whether scaffolding has a similar, positive effect on the learning of peer-assessment tasks. We hypothesised that: (1) domain-specific scaffolding improves domain-specific accuracy and reduces time on task and perceived mental effort, and (2) peer-assessment scaffolding improves peer-assessment accuracy and reduces time on task and perceived mental effort. Additionally, we explored whether there was an interaction between domain-specific and peer-assessment scaffolding. In a 2x2 experiment with the factors domain-specific scaffolding (present, absent) and peer-assessment scaffolding (present, absent), 236 secondary school students assessed the performance of fictitious peers in an electronic learning environment. We found that domain-specific accuracy indeed improved with domain-specific scaffolding, confirming our first hypothesis. Our tests of the second hypothesis, however, revealed surprising results: peer-assessment scaffolding significantly increased accuracy and mental effort during learning, it had no effect on peer-assessment accuracy at the test and led to reduced domain-specific accuracy, even when combined with domain-specific scaffolding. These results suggest that scaffolding students' peer assessment before they have mastered the task at hand can have disturbing effects on students’ ability to learn from the task.  相似文献   

7.
Self-explanation in the domain of statistics: an expertise reversal effect   总被引:1,自引:0,他引:1  
This study investigated the effects of four instructional methods on cognitive load, propositional knowledge, and conceptual understanding of statistics, for low prior knowledge students and for high prior knowledge students. The instructional methods were (1) a reading-only control condition, (2) answering open-ended questions, (3) answering open-ended questions and formulating arguments, and (4) studying worked-out examples of the type of arguments students in the third group had to formulate themselves. The results indicate that high prior knowledge students develop more propositional knowledge of statistics than low prior knowledge students. With regard to conceptual understanding, the results indicate an expertise reversal effect: low prior knowledge students learn most from studying worked-out examples, whereas high prior knowledge students profit most from formulating arguments. Thus, novice students should be guided into the subject matter by means of worked-out examples. As soon as students have developed more knowledge of the subject matter, they should be provided with learning tasks that stimulate students to solve problems by formulating arguments.  相似文献   

8.
Accurate teacher judgment of students' reading ability is critical for identification of students in need of intervention. Little research is available that examines the accuracy of teachers' judgments in identifying students at risk for early reading difficulty as students begin school. Findings of this study indicate that teachers are fairly accurate in their judgments, but the fact that reading ability provides the foundation for academic success suggests the need for a high degree of accuracy in their judgments of students' reading ability.  相似文献   

9.
Students’ Judgments of Learning (JOLs) are often inaccurate: students often overestimate their future test performance. Because of the consequences that JOL inaccuracy can have for regulating study activities, an important question is how JOL accuracy can be improved. When learning texts, JOL accuracy has been shown to improve through ‘generation strategies’, such as generating keywords, summaries, or concept maps. This study investigated whether JOL accuracy can also be improved by means of a generation strategy (i.e., completing blank steps in the examples) when learning to solve problems through worked example study. Secondary education students of 14–15 years old (cf. USA 9th grade) either studied worked examples or completed partially worked examples and gave JOLs. It was found that completion of worked examples resulted in underestimation of future test performance. It seems that completing partially worked-out examples made students less confident about future performance than studying fully worked examples. However, this did not lead to better regulation of study.  相似文献   

10.
It was investigated to what extent example variability and the elicitation of sophisticated self-explanations foster the acquisition of transferable knowledge by learning from worked-out examples. In addition, it was asked whether the effects of these factors are moderated by the learners' levels of prior topic knowledge. To this end, we had 56 apprentices from a bank learn calculation of compound interest and real interest. They were randomly assigned to the four conditions of a 2 × 2-factorial design (factor 1: uniform vs. multiple examples; factor 2: spontaneous vs. elicited self-explanations). The learning results were measured by a post-test comprising near-transfer problems and far-transfer problems. It was found that the acquisition of transferable knowledge can be supported by eliciting self-explanations. In the case of near transfer, especially learners with low levels of prior topic knowledge profited from the elicitation procedure. On the whole, the findings underline the “causal” relevance of the quality of self-explanations for knowledge acquisition by learning from worked-out examples. The assumption that multiple examples foster transfer performance, at least when sophisticated self-explanations are elicited, was not supported.  相似文献   

11.
This study investigated changes in male and female students' prediction and postdiction calibration accuracy and bias scores, and the predictive effects of explanatory styles on these variables beyond gender. Seventy undergraduate students rated their confidence in performance before and after a 40-item exam. There was an improvement in students' bias between prediction and postdiction judgments, although male students' decrease in bias was greater than female students. Female students' accuracy remained stable from prediction to postdiction, and male students exhibited greater accuracy then females. Additionally, the task centered and student centered testing styles positively predicted students' accuracy while the social centered style was a negative predictor, beyond the effect of gender. In addition, no attribution was a significant predictor of bias.  相似文献   

12.
The purpose of this study was to examine students' roles during a long-term collaborative task that required them to master complex sets of cognitive, regulatory and social skills needed for building knowledge largely from their own and their peers' ideas and observations. Samples of discourse were collected from 24 8th grade students in eight groups within four classrooms throughout a 12-week unit on constructing and testing mental models of the nature of matter. Eight prominent sociocognitive roles that served socio-emotional, conceptual and metacognitive functions are described. The roles are related to individual students' perspectives on learning, and to the levels of reasoning each group achieved. The results can be used to raise students' and teachers' awareness of the personal resources, interactive processes and norms that can support or derail knowledge construction in collaborative groups.  相似文献   

13.
Previous findings on effects of teachers' judgments on student learning have been contradictory leading to the question of what kinds of judgments are most beneficial: accurate or (overly) positive ones? In this study, we provide the first competitive test of prominent but contradictory hypotheses regarding the consequences of teachers' judgments in the context of reading proficiency using reading fluency and reading comprehension performance judgments from 145 teachers and measures of real performance and learning progress across eight points of measurement from 2880 students. Response Surface Analyses combined with an information-theoretic approach for model comparison revealed no evidence of positive effects of judgment accuracy or overestimation of student performance by teachers. Instead, progress in reading fluency and reading comprehension was best predicted by students' prior achievement. For reading comprehension, the positivity of teachers' judgments was additionally beneficial: The higher a teacher judged a student's performance, the more the student learned.  相似文献   

14.
Both retrospective and prospective monitoring are considered important for self-regulated learning of problem-solving skills. Retrospective monitoring (or self-assessment; SA) refers to students' assessments of how well they performed on a problem just completed. Prospective monitoring (or Judgments of Learning; JOLs) refers to students' judgments about how well they will perform on a (similar) problem on a future test. We investigated whether secondary education students' SA accuracy could be improved by training (Experiment 1 and 2), or by providing assessment standards (Experiment 2), and whether this would also affect the accuracy of JOLs. Accurate assessment of past performance might provide a good cue for judging future performance. Both Experiment 1 and 2 showed no effect of training on SA or JOL accuracy, but SA and JOLs were positively correlated with each other and negatively with effort. Providing standards did improve SA and JOL accuracy on identical problems, and performance on all problems.  相似文献   

15.
The purpose of this investigation was to examine the accuracy of teachers' judgments of students' early literacy skills and to determine if students' achievement levels influenced teachers' judgments. Typical and lower‐achieving kindergarten and first‐grade students' scores on the Nonsense Word Fluency and Phoneme Segmentation Fluency measures of the Dynamic Indicators of Basic Early Literacy Skills (DIBELS) were compared to the predicted performance by their teachers. Results showed a moderately strong correlation between teachers' judgments and students' performance across all of the students, which is consistent with past research. Teachers' judgments, however, consistently and significantly overestimated the actual performance of students, particularly those who were typically performing students. The findings of the investigation suggest that relying on teachers' judgments of students' early literacy skills alone may be insufficient to accurately identify students at risk for reading difficulties. © 2011 Wiley Periodicals, Inc.  相似文献   

16.
Many students in primary education learn arithmetic using adaptive learning technologies (ALTs) on tablets every day. Driven by developments in the emerging field of learning analytics, these technologies adjust problems based on learners' performance. Yet, until now it is largely unclear how students regulate their learning with ALTs. Hence, we explored how learners regulate their effort, accuracy and learning with an ALT using moment-by-moment learning curves. The results indicated that moment-by-moment learning curves did reflect students’ accuracy and learning, but no associations with effort were found. Immediate drops were associated with high prior knowledge and suboptimal learning. Immediate peaks were associated with robust learning and pointed to effective student regulation. Close multiple spikes showed moderate learning and lower initial levels of accuracy but, with system support, these students seemed able to regulate their learning. Separated multiple spikes indicated reduced learning and accuracy and potentially signal the inability of students to regulate their learning. In this light, moment-by-moment learning curves seem to be valuable indicators of accuracy regulation during learning with ALTs and could potentially be used in interventions to support SRL with personalized visualizations.  相似文献   

17.
This study was part of a larger research program designed to investigate how effort interacts with strategy use to mediate the academic performance of successful students with learning disabilities (LD) and how teachers' and students' perceptions influence these relationships. The sample consisted of 46 students with LD and 46 matched students without LD and their seven teachers from Grades 6–8. A self‐report survey was used to obtain an index of students' perceptions of their effort, strategy use, academic struggles, and academic competence. Our findings indicated that students with LD with positive academic self‐perceptions were more likely to work hard and to use strategies in their schoolwork than were students with LD who had negative academic self‐perceptions. Teachers viewed students with LD who had positive academic self‐perceptions as working equally hard and attaining similar levels of academic competence as their peers without LD. In marked contrast, students with LD who had negative academic self‐perceptions were judged by their teachers as making limited effort in school and achieving at a below‐average level in comparison with their peers. Findings suggested a cyclical relationship between students' self‐perceptions and their teachers' judgments and supported the notion of a reciprocal strategy‐effort interaction.  相似文献   

18.
19.
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12–13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between students' progress within DragonBox and their algebraic knowledge and general mathematics achievement, (b) the moderating effects of students' prior performance on these relations and (c) the potential factors associated with students' in-game progress. Among students with higher prior algebraic knowledge, higher in-game progress was related to higher algebraic knowledge after the intervention. Higher in-game progress was also associated with higher end-of-year mathematics achievement, and this association was stronger among students with lower prior mathematics achievement. Students' demographic characteristics, prior knowledge and prior achievement did not significantly predict in-game progress beyond the number of intervention sessions students completed. These findings advance research on how, for whom and in what contexts game-based interventions, such as DragonBox, support mathematical learning and have implications for practice using game-based technologies to supplement instruction.

Practitioner notes

What is already known about this topic
  • DragonBox 12+ may support students' understanding of algebra but the findings are mixed.
  • Students who solve more problems within math games tend to show higher performance after gameplay.
  • Students' engagement with mathematics is often related to their prior math performance.
What this paper adds
  • For students with higher prior algebraic knowledge, solving more problems in DragonBox 12+ is related to higher algebraic performance after gameplay.
  • Students who make more in-game progress also have higher mathematics achievement, especially for students with lower prior achievement.
  • Students who spend more time playing DragonBox 12+ make more in-game progress; their demographic, prior knowledge and prior achievement are not related to in-game progress.
Implications for practice and/or policy
  • DragonBox 12+ can be beneficial as a supplement to algebra instruction for students with some understanding of algebra.
  • DragonBox 12+ can engage students with mathematics across achievement levels.
  • Dedicating time and encouraging students to play DragonBox 12+ may help them make more in-game progress, and in turn, support math learning.
  相似文献   

20.
Self-assessment and task-selection skills are crucial in self-regulated learning situations in which students can choose their own tasks. Prior research suggested that training with video modeling examples, in which another person (the model) demonstrates and explains the cyclical process of problem-solving task performance, self-assessment, and task-selection, is effective for improving adolescents’ problem-solving posttest performance after self-regulated learning. In these examples, the models used a specific task-selection algorithm in which perceived mental effort and self-assessed performance scores were combined to determine the complexity and support level of the next task, selected from a task database. In the present study we aimed to replicate prior findings and to investigate whether transfer of task-selection skills would be facilitated even more by a more general, heuristic task-selection training than the task-specific algorithm. Transfer of task-selection skills was assessed by having students select a new task in another domain for a fictitious peer student. Results showed that both heuristic and algorithmic training of self-assessment and task-selection skills improved problem-solving posttest performance after a self-regulated learning phase, as well as transfer of task-selection skills. Heuristic training was not more effective for transfer than algorithmic training. These findings show that example-based self-assessment and task-selection training can be an effective and relatively easy to implement method for improving students’ self-regulated learning outcomes. Importantly, our data suggest that the effect on task-selection skills may transfer beyond the trained tasks, although future research should establish whether this also applies when trained students perform novel tasks themselves.  相似文献   

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