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Both science and technology education have a commitment to teaching process; investigations or scientific method in science,
design in technology, and problem solving in both areas. The separate debates in science and technology education reveal different
curricular emphases in processes and content, reflecting different goals, and pedagogic and educational research traditions.
This paper explores these differences and argues that each curriculum area can learn from the other. Despite the interest
in processes, problem solving remains neglected in each area, particularly with respect to empirical accounts of student problem-solving
activities and the supporting pedagogy. This paper draws on the situated learning and social constructivist literature to
provide insights into problem solving in technology education. The research reported here, gives accounts of the problem-solving
strategies of English secondary school students. These strategies represent their responses to technology activities and the
learning environment created by teachers. 相似文献
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Nonmanut Pongsakdi Eero Laakkonen Teija Laine Koen Veermans Minna M. Hannula-Sormunen Erno Lehtinen 《Scandinavian Journal of Educational Research》2019,63(2):179-197
A Word Problem Enrichment programme (WPE) has been found to increase student word problem solving performance when facing non-routine and application problems. However, it is unknown if the WPE has an impact on student beliefs about word problem solving and how the WPE works for students with different motivation in learning mathematics. This study investigated the impact of the WPE on student beliefs about word problem solving by using Latent Profile Analysis and Structural Equation Modelling to analyse relations among the different cognitive, motivation, and belief factors. A total of 170 fourth- and sixth-grade students from elementary schools participated. Results showed that the effects of WPE are various depending on students’ initial motivation level. The impacts of the WPE on student beliefs were found only in students with a low initial motivation level, while its impacts on student problem-solving performance were found only in students with a high initial motivation level. 相似文献
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This study examined 361 Chinese and 345 Singaporean sixth-grade students’ performance and problem-solving strategies for solving 14 problems about speed. By focusing on students from two distinct high-performing countries in East Asia, we provide a useful perspective on the differences that exist in the preparation and problem-solving strategies of these groups of students. The strategy analysis indicates that the Chinese sample used algebraic strategies more frequently and more successfully than the Singaporean sample, although the Chinese sample used a limited variety of strategies. The Singaporean sample’s use of model-drawing produced a performance advantage on one problem by converting multiplication/division of fractions into multiplication/division of whole numbers. Several suggestions regarding teaching and learning of mathematical problem solving, algebra, and problems about speed and its related concepts of ratio and proportion are made. 相似文献
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If students are to successfully grapple with authentic, complex biological problems as scientists and citizens, they need practice solving such problems during their undergraduate years. Physics education researchers have investigated student problem solving for the past three decades. Although physics and biology problems differ in structure and content, the instructional purposes align closely: explaining patterns and processes in the natural world and making predictions about physical and biological systems. In this paper, we discuss how research-supported approaches developed by physics education researchers can be adopted by biologists to enhance student problem-solving skills. First, we compare the problems that biology students are typically asked to solve with authentic, complex problems. We then describe the development of research-validated physics curricula emphasizing process skills in problem solving. We show that solving authentic, complex biology problems requires many of the same skills that practicing physicists and biologists use in representing problems, seeking relationships, making predictions, and verifying or checking solutions. We assert that acquiring these skills can help biology students become competent problem solvers. Finally, we propose how biology scholars can apply lessons from physics education in their classrooms and inspire new studies in biology education research. 相似文献
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This paper describes a newly adapted instrument for measuring novice-to-expert-like perceptions about biology: the Colorado Learning Attitudes about Science Survey for Biology (CLASS-Bio). Consisting of 31 Likert-scale statements, CLASS-Bio probes a range of perceptions that vary between experts and novices, including enjoyment of the discipline, propensity to make connections to the real world, recognition of conceptual connections underlying knowledge, and problem-solving strategies. CLASS-Bio has been tested for response validity with both undergraduate students and experts (biology PhDs), allowing student responses to be directly compared with a consensus expert response. Use of CLASS-Bio to date suggests that introductory biology courses have the same challenges as introductory physics and chemistry courses: namely, students shift toward more novice-like perceptions following instruction. However, students in upper-division biology courses do not show the same novice-like shifts. CLASS-Bio can also be paired with other assessments to: 1) examine how student perceptions impact learning and conceptual understanding of biology, and 2) assess and evaluate how pedagogical techniques help students develop both expertise in problem solving and an expert-like appreciation of the nature of biology. 相似文献
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Donald A. Stepich Peggy A. Ertmer Molly M. Lane 《Educational technology research and development : ETR & D》2001,49(3):53-67
This paper proposes the use of specific coaching strategies to facilitate student use of expert-like problem-solving strategies
while analyzing and solving instructional design case studies. Findings from an exploratory study, designed to examine changes
in students' problem-solving skills as they analyzed case studies, suggested that students could show expert characteristics
at times, under some circumstances, but did not perform like experts on a regular basis. At two midwestern universities, 37
students analyzed 6 to 10 case studies both in class and in on-line discussions. Comparisons were made both within and across
students, as well as across time, to examine patterns and changes in student problem-solving approaches. Findings suggested
that primary influences on the incidence of expert performance were more external than internal and might be more aptly characterized
as “coached expertise”. Specific suggestions are included for coaching the development of student problem-solving skills within
a case-based course. 相似文献
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Yi-Chun Chen Fang-Ying Yang 《International Journal of Science and Mathematics Education》2014,12(3):579-603
There were two purposes in the study. One was to explore the cognitive activities during spatial problem solving and the other to probe the relationship between spatial ability and science concept learning. Twenty university students participated in the study. The Purdue Visualization of Rotations Test (PVRT) was used to assess the spatial ability, whose items were divided into different types of problems with respect to the rotation angles and levels of plane invisibility. The eye tracking technology and the interview technique were employed to analyze subjects’ the online cognitive processes and problem solving strategies. Students’ concept gains were examined by content analysis after reading a science report. The result shows that, first, the interview analysis shows that students of different PVRT performances employed different problem solving strategies. Second, rotation angles as well as levels of plane invisibility inserted significant effects on the online processes and performances of the spatial problem solving. Third, the accuracy performance of PVRT was correlated with eye movement patterns. At last, it was found that concept performance was not correlated with PVRT performance but associated with spatial memory and problem solving strategies. 相似文献
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Students with learning disabilities (LD) consistently struggle with word problem solving in mathematics classes. This difficulty has made curricular, state, and national tests particularly stressful, as word problem solving has become a predominant feature of such student performance assessments. Research suggests that students with LD perform poorly on word problem‐solving items due primarily to deficits in problem representation. Therefore, it is imperative that teachers provide these students with supplemental problem‐solving instruction that specifically targets the development of representational strategies. This article describes how one representational strategy, using number lines, can be used to model word problems as part of a comprehensive problem‐solving intervention to improve the conceptual understanding of math word problems and, subsequently, the problem‐solving performance of students with LD. 相似文献
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Jack A. Holmes 《Journal of Experimental Education》2013,81(4):329-350
ABSTRACT. Two groups of middle school students were taught U.S. colonial history during a 5-week period using 2 different instructional strategies. In the experimental group, concepts and problem-solving strategies were explicitly taught; in the control group, content was presented using lectures and reading. All students took a pretest and several posttests. Declarative knowledge tasks measured factual content knowledge and domain vocabulary acquisition; procedural knowledge was measured with problem-solving essays. Whereas performance was not statistically different between the 2 groups on the fact tests, significant differences were found on the vocabulary tests and problem-solving essays. These findings support using direct instruction for relational thinking and problem solving with explicit reference to concepts and attributes. 相似文献
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Kumar Laxman 《Instructional Science》2011,39(6):881-900
Solving real-world problems is an effective learning activity that promotes meaningful learning in formal educational settings.
Problems can be classified as being either well structured or ill structured. Internet information search approaches have
an influential role to play in the successful performance of problem solving. A better understanding of how students differentially
model information search strategies and movements in tackling well- and ill-structured problems is essential for creating
engaging problem-solving environments for students. Static measures, such as the number of accessed nodes or links, or the
number of times particular web browser function buttons are clicked, are limited in their ability to analyze attributes of
information search patterns. A more dynamic and spatial representation of web movements and navigational patterns can be realized
through the use of navigational paths as data. The two path-specific structural metrics that can be used to assess network-based
navigational paths in relation to the structuredness of the problem-solving task are compactness and stratum. These metrics are, respectively, the indicators of the connectedness and linearity of network-based structures defining students’ online navigational visitations during the problem-solving sessions. This
study explored the relevance and utility of these two metrics in analyzing the navigational movements of learners in seeking
out electronic information to accomplish successful problem solving. The outcome findings of this study show that well- and
ill-structured problems demand different cognitive and information seeking navigational approaches. The differing values of
the two path metrics in analyzing the search movements organized by students in attending to well- and ill-structured problems
were a direct result of the contrasting patterns of navigational path movements. The search patterns associated with well-structured
problem solving tended to be more linear and less connected, whereas those related to ill-structured problem solving were
more distributed and inter-connected. 相似文献
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Joakim Malm Leif Bryngfors Lise-Lotte Mörner 《European Journal of Engineering Education》2015,40(4):347-365
Supplemental Instruction (SI) is a programme that is attached to difficult courses with the objective of increasing student performance and retention. However, an SI programme also has the potential to increase overall student performance and retention during the first critical year if applied to introductory courses. In this study the latter objective is investigated in an engineering educational environment. The study shows that an SI programme attached to difficult first semester courses for new engineering students has substantial positive effects on both first-year student performance and retention. Both male and female students appear to benefit from attending SI to the same extent. Some potential reasons for these improved first-year student performances are that attendance at SI sessions appears to lead to improved self-confidence, a broader network of study partners, improved study strategies and problem-solving skills and an increased ability to critically review material and work with others. 相似文献
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Technology-supported Learning in Secondary and Undergraduate Biological Education: Observations from Literature Review 总被引：2，自引：2，他引：0
We conducted a literature review of using educational technology in biology learning from 2001 to 2010. A total of 36 empirical articles were included for review. Based upon the content analyses of these studies, such as technologies utilized, student sample, biological topics involved, the research purpose, and methodology, the following observations were revealed. Among the different types of technologies, the majority of studies utilized simulations or visualization tools. Genetics and molecular biology were the most popular biological topics. Most studies examined students’ conceptual outcomes, fewer studies examined affective outcomes, and a few studies examined higher-order skills. Also a small number of studies observed students’ learning processes. Beyond simply the comparison for traditional teaching versus technology-assisted learning, some studies emphasized comparing different technologies or different representations. This review also suggested some future research directions. For example, more studies should use technologies for interdisciplinary training and for fostering problem-solving skills. 相似文献
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Cai-Ting Wen Chia-Jung Chang Ming-Hua Chang Shih-Hsun Fan Chiang Chen-Chung Liu Fu-Kwun Hwang Chin-Chung Tsai 《Instructional Science》2018,46(6):847-867
This study investigated students’ modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the content analysis found that the problem-solving simulation game helped most of the students to reflectively play with the science problem and build a workable model to solve it. By using the supervised LSA, it was found that the students who successful solved the game frequently linked the game contexts with the physics terminologies, while those who did not solve the problem simply relied on the intuitive knowledge provided in the reference materials. Furthermore, the unsupervised LSA identified four activity patterns that were not noticed in the supervised LSA: the fragmented, reference material centered, reference material aided modeling, and modeling centered patterns. Each pattern has certain associations with certain problem-solving outcomes. The results of this study also shed light on the use of different analytics techniques. While the supervised LSA is particularly helpful for depicting a contrast of activity patterns between two specific student groups, the unsupervised LSA is able to identify hidden significant patterns which were not clearly distinguished in the pre-defined student groups. Researchers may find these analytics techniques useful for analyzing students’ learning processes. 相似文献
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An experiment explicitly introducing learning strategies to a large, first-year undergraduate cell biology course was undertaken to see whether awareness and use of strategies had a measurable impact on student performance. The construction of concept maps was selected as the strategy to be introduced because of an inherent coherence with a course structured by concepts. Data were collected over three different semesters of an introductory cell biology course, all teaching similar course material with the same professor and all evaluated using similar examinations. The first group, used as a control, did not construct concept maps, the second group constructed individual concept maps, and the third group first constructed individual maps then validated their maps in small teams to provide peer feedback about the individual maps. Assessment of the experiment involved student performance on the final exam, anonymous polls of student perceptions, failure rate, and retention of information at the start of the following year. The main conclusion drawn is that concept maps without feedback have no significant effect on student performance, whereas concept maps with feedback produced a measurable increase in student problem-solving performance and a decrease in failure rates. 相似文献
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Recognising critical reasoning and problem-solving as one of the key skills for twenty-first century citizenship, various types of problem contexts have been practiced in science classrooms to enhance students’ understandings and use of evidence-based thinking and justification. Good problems need to allow students to adapt and evaluate the effectiveness of their knowledge, reasoning and problem-solving strategies. When students are engaged in complex and open-ended problem tasks, it is assumed their reasoning and problem-solving paths become complex with creativity and evidence in order to justify their conclusion and solutions. This study investigated the levels of reasoning evident in student discourse when engaging in different types of problem-solving tasks and the role of teacher interactions on students’ reasoning. Fifteen students and a classroom teacher in a Grade 5–6 classroom participated in this study. Through case analyses, the study findings suggest that (a) there was no clear co-relation between certain structures of problem tasks and the level of reasoning in students’ problem-solving discourse, (b) students exhibited more data-based reasoning than evidence-based and rule-based justification in experiment-based problem-solving tasks, and (c) teacher intervention supported higher levels of student reasoning. Pedagogical reflections on the difficulties of constructing effective problem-solving tasks and the need for developing teacher scaffolding strategies are discussed. 相似文献
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Situating the conceptual knowledge of a science discipline in the context of its use in the solving of problems allows students the opportunity to develop: a highly structured and functional understanding of the conceptual structure of the discipline; general and discipline-specific problem-solving strategies and heuristics; and insight into the nature of science as an intellectual activity. In order realize these potential learning outcomes, the reconstructions of scientific theories used in problem solving must provide a detailed account of (1) realistic scientific problems and their solutions; (2) problem-solving strategies and patterns of reasoning of disciplinary experts; (3) the various ways that theories function for both disciplinary experts and students; and (4) the way theories, as solutions to realistic scientific problems, develop over time. The purpose of this paper, therefore, is to provide further specificity regarding a philosophical reconstruction of the structure of Classical Genetics Theory that can facilitate problem-solving instruction. We analyze syntactic, semantic and problem-based accounts of theory structure with respect to the above criteria and develop a reconstruction that incorporates elements from the latter two. We then describe how that reconstruction can facilitate realistic problem solving on the part of students. 相似文献
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Maria Lindfors Mikael Winberg Madelen Bodin 《Scandinavian Journal of Educational Research》2019,63(1):124-144
Research on how epistemic beliefs influence students’ learning in different contexts is ambiguous. Given this, we have examined the relationships between students’ scientific epistemic beliefs, their problem solving, and solutions in a constructionist computer-simulation in classical mechanics. The problem-solving process and performance of 19 tenth-grade students, with different scientific epistemic beliefs, were video recorded and inductively coded. Quantitative analysis revealed that different sets of epistemic beliefs were conducive to different aspects of students’ problem-solving process and outcomes. Theoretically sophisticated beliefs were in general associated with logical strategies and high solution complexity. However, authority dependence was associated with high degree of adherence to instructions. Hence, there might not be a universal relationship between the theoretical sophistication of students’ epistemic beliefs and quality of learning outcomes. We suggest that the conduciveness to desired outcomes is a better measure of sophistication than theoretical non-contextualized a priori assumptions. 相似文献
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The purpose of this research was to examine the antecedents and consequences of epistemic and activity emotions in the context of complex mathematics problem solving. Seventy-nine elementary students from the fifth grade participated. Students self-reported their perceptions of control and value specific to mathematics problem solving, and were given a complex mathematics problem to solve over a period of several days. At specific time intervals during problem solving, students reported their epistemic and activity emotions. To capture self-regulatory processes, students thought out loud as they solved the problem. Path analyses revealed that both perceived control and value served as important antecedents to the epistemic and activity emotions students experienced during problem solving. Epistemic and activity emotions also predicted the types of processing strategies students used across three phases of self-regulated learning during problem solving. Finally, shallow and deep processing cognitive and metacognitive strategies positively predicted problem-solving performance. Theoretical and educational implications are discussed. 相似文献
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The purpose of this research is to investigate the relative effectiveness of using three different question-prompt strategies on promoting metacognitive skills and performance in ill-structured problem solving by examining the interplay between peer interaction and cognitive scaffolding. An ill-structured problem-solving task was given to three groups. One group (Type QP) received instructor-generated question prompts that guided the problem-solving process; the second group (Type PQ) developed their own peer-generated questions; another group (Type PQ-R) developed their own question prompts first and revised them later with an instructor-generated question list. In this study, students in the QP group outperformed those in any other groups. The results revealed that providing instructor-generated question prompts was more effective than letting students develop their own questions, with or without revision, in ill-structured problem solving. Analysis of each of the four problem-solving stages revealed that the provided question prompts were more helpful in the stages of justification, and monitoring and evaluating than student-generated prompts. The difference between PQ and PQ-R groups is not statistically significant either overall or in any of the problem-solving stages. 相似文献