共查询到20条相似文献，搜索用时 15 毫秒
1.
Computational thinking (CT) is a way of making sense of the natural world and problem solving with computer science concepts and skills. Although CT and science integrations have been called for in the literature, empirical investigations of such integrations are lacking. Prior work in natural selection education indicates students struggle to explain natural selection in different contexts and natural selection misconceptions are common. In this mixed methods study, secondary honors biology students learn natural selection through CT by engaging in the design of unplugged algorithmic explanations. Students learned CT principles and practices and applied them to learn and explain the natural selection process. Algorithmic explanations were used to scaffold transfer of natural selection knowledge across contexts through investigation of three organisms and the creation of generalized natural selection algorithms. Students' pre- and post-unit algorithmic explanations of natural selection were analyzed to answer the following research questions: (a) How do students' conceptions of natural selection change over the course of a CT focused unit? (b) What is the relationship between CT and natural selection in students' algorithmic explanations? (c) What are students' perspectives of learning natural selection with CT? Results indicate students' conceptions of natural selection increased and natural selection misconceptions decreased over the course of the unit. Within their post-unit algorithmic explanations, students used specific CT principles in conjunction with natural selection concepts to explain natural selection, which helped them to learn the details of the natural selection process and correct their natural selection misconceptions. Students indicated the use of CT in unplugged algorithmic explanations in different contexts helped them learn natural selection. This study shows unplugged CT can be used to teach students science content, and it provides an example for further CT and science integrations. Implications for the field are discussed. 相似文献
2.
J. Huppert S. Michal Lomask R. Lazarowitz 《International Journal of Science Education》2013,35(8):803-821
Computer-assisted learning, including simulated experiments, has great potential to address the problem solving process which is a complex activity. It requires a highly structured approach in order to understand the use of simulations as an instructional device. This study is based on a computer simulation program, 'The Growth Curve of Microorganisms', which required tenth grade biology students to use problem solving skills whilst simultaneously manipulating three independent variables in one simulated experiment. The aims were to investigate the computer simulation's impact on students' academic achievement and on their mastery of science process skills in relation to their cognitive stages. The results indicate that the concrete and transition operational students in the experimental group achieved significantly higher academic achievement than their counterparts in the control group. The higher the cognitive operational stage, the higher students' achievement was, except in the control group where students in the concrete and transition operational stages did not differ. Girls achieved equally with the boys in the experimental group. Students' academic achievement may indicate the potential impact a computer simulation program can have, enabling students with low reasoning abilities to cope successfully with learning concepts and principles in science which require high cognitive skills. 相似文献
3.
The purpose of this study was to determine if there are relationship among freshmen students' Field depended or field independent (FD/FI) cognitive style, conceptual understandings, and problem solving skills in mechanics. The sample consisted of 213 freshmen (female = 111, male = 102; age range 17–21) who were enrolled in an introductory physics course required for science education prospective teachers. Data collection was done during the fall semesters in three successive years. At the beginning of each semester the Force Concept Inventory (FCI) and the Group Embedded Figure Test (GEFT) were administered to assess students' initial understanding of basic concepts in mechanics and FD/FI tendency of students, respectively. After completion of the course, the FCI and the Mechanics Base Line Test (MBT) were administered. The results indicated that students conceptual understanding were not statistically related to their FD/FI cognitive styles for both pre and post results. However, their problem‐solving skills were statistically related to their FD/FI cognitive style. The findings of the present and previous studies are compared, and the possible effects of the present studies on previous studies on teaching, learning and assessment for introductory mechanics are discussed. 相似文献
4.
This study investigated the effect of instruction with a cognitive tutoring software system in a remedial algebra course. The performance on algebra tasks of students who attended the experimental (cognitive tutor) and a control class was compared. The results indicated that the two groups of students were equally proficient with respect to algebraic manipulation skills. However, students who attended the experimental algebra section performed significantly better in problem solving than students in the control section. This finding suggested that the use of the cognitive tutor (a) improved students' problem‐solving abilities; (b) fostered student development of richer concepts of variable and function; and (c) improved students' procedural abilities in approaching and carrying through mathematical analyses of relatively complex situations. 相似文献
5.
Fadi P. Deek 《Computer Science Education》2013,23(1):43-70
First-year computer science students are receiving early introduction to the software process through a problem solving and program development approach. We present a methodology that addresses the needs and difficulties of students learning programming, incorporating the tasks required for solving problems and writing programs. This approach allows for incremental exposure to the complex field of software engineering, consistent with the level of the introductory computing course, while providing the learner with fundamental skills applicable to other domains. The correlation between the software process and the problem solving/program development approach is also demonstrated. 相似文献
6.
Reductive thinking in computer science 总被引：1，自引：1，他引：0
This paper discusses the role of reduction in computer science and describes a study on undergraduate students' perception of the concept of reduction. Specifically, based on an analysis of students' answers to questions addressing different computer science topics, we present several findings regarding the ways in which undergraduate students conceive of and apply reduction. These findings can be interpreted within the framework of the tension that exists between the following two factors: The need to think in terms of high levels of abstraction, on one hand, and the fact that reduction introduces a new approach to be used in problem-solving situations, on the other. In addition the paper suggests several teaching applications. 相似文献
7.
8.
How Students Attempt to Reduce Abstraction in the Learning of Mathematics and in the Learning of Computer Science 总被引：2，自引：2，他引：0
Orit Hazzan 《Computer Science Education》2013,23(2):95-122
This article focuses on ion and ways in which students cope with abstraction. The article has two goals: first, it illustrates how the theme of reducing abstraction (Hazzan, 1999) is useful for analyzing students' thinking about abstract concepts in mathematics and in computer science; second, it demonstrates how theories based on mathematics education research can be applied to analyzing students' understanding of computer science concepts. The main section of the article analyzes the understanding of concepts from four fields – abstract algebra, computability, data structures and differential equations – through the lens of reducing abstraction. The analysis shows that a wide range of cognitive phenomena can be explained by one theoretical framework. 相似文献
9.
Abraham Blum 《科学教学研究杂志》1981,18(2):145-155
Cooley and Reed's active interest measurement approach was combined with Guttman's Facet Design to construct a systematic instrument for the assessment of the impact of an environmental science course on students' behavior outside school. A quasimatched design of teacher allocation to the experimental and control groups according to their preferred teaching style was used. A kind of dummy control curriculum was devised to enable valid comparative evaluation of a new course which differs from the traditional one in both content and goal. This made it possible to control most of the differing factors inherent in the old and new curriculum. The research instrument was given to 1000 students who were taught by 28 teachers. Students who learned according to the experimental curriculum increased their leisure time activities related to the environmental science curriculum significantly. There were no significant differences between boys and girls and between students with different achievement levels. 相似文献
10.
Elena Bray Speth Jennifer L. Momsen Gregory A. Moyerbrailean Diane Ebert-May Tammy M. Long Sara Wyse Debra Linton 《CBE life sciences education》2010,9(3):323-332
Biology of the twenty-first century is an increasingly quantitative science. Undergraduate biology education therefore needs to provide opportunities for students to develop fluency in the tools and language of quantitative disciplines. Quantitative literacy (QL) is important for future scientists as well as for citizens, who need to interpret numeric information and data-based claims regarding nearly every aspect of daily life. To address the need for QL in biology education, we incorporated quantitative concepts throughout a semester-long introductory biology course at a large research university. Early in the course, we assessed the quantitative skills that students bring to the introductory biology classroom and found that students had difficulties in performing simple calculations, representing data graphically, and articulating data-driven arguments. In response to students'' learning needs, we infused the course with quantitative concepts aligned with the existing course content and learning objectives. The effectiveness of this approach is demonstrated by significant improvement in the quality of students'' graphical representations of biological data. Infusing QL in introductory biology presents challenges. Our study, however, supports the conclusion that it is feasible in the context of an existing course, consistent with the goals of college biology education, and promotes students'' development of important quantitative skills. 相似文献
11.
ROEHYATI JOEDODIBROTO 《European Journal of Engineering Education》1991,16(3):261-263
The paper details the content of a course on research methodology, aimed at improving engineering students' skills of information seeking. In addition to helping students carry out research for their university theses, the course should also help them with problem solving in their future working environments. 相似文献
12.
13.
This study compared the problem‐solving skills required for solving well‐structured problems and ill‐structured problems in the context of an open‐ended, multimedia problem‐solving environment in astronomy. Two sets of open‐ended questions assessed students' abilities for solving well‐structured and ill‐structured problems. Generalized, rubric scoring systems were developed for assessing problem‐solving skills. Instruments were also developed and administered to assess cognitive and affective predictors of problem‐solving performance. By regressing the scores on the cognitive and affective predictors onto students' scores on the well‐structured and ill‐structured problems, we concluded that solving well‐structured and ill‐structured problems require different component skills. Domain knowledge and justification skills were significant predictors of well‐structured problem‐solving scores, whereas ill‐structured problem‐solving scores were significantly predicted by domain knowledge, justification skills, science attitudes, and regulation of cognition. Implications for problem solving in science education are presented. © 2003 Wiley Periodicals, Inc. J Res Sci Teach 40: 6–33, 2003 相似文献
14.
The purposes of the present study were (a) to compare US and Korean 8th graders' mastery of knowledge and skills in the mathematics test of the Trends in International Mathematics and Science Study (TIMSS) 2003 using a cognitive diagnostic testing method and (b) to find links between teachers' instruction and students' mastery of mathematics knowledge and skills. The participants included 740 US and 439 Korean 8th graders who took the Booklet 3 mathematics test. The results showed substantial differences between the US and Korean students' performance in problem restructuring and reasoning, measurement, and geometry. The most helpful instructional strategy for both Korean and US students was encouraging students' independent problem solving. Reviewing, re-teaching, and clarifying content were especially effective for the US students. Implications for teaching and learning are discussed. 相似文献
15.
Fostering students' spatial thinking skills holds great promise for improving Science, Technology, Engineering, and Mathematics (STEM) education. Recent efforts have focused on the development of classroom interventions to build students' spatial skills, yet these interventions will be implemented by teachers, and their beliefs and perceptions about spatial thinking influence the effectiveness of such interventions. However, our understanding of elementary school teachers' beliefs and perceptions around spatial thinking and STEM is in its infancy. Thus, we created novel measures to survey elementary teachers' anxiety in solving spatial problems, beliefs in the importance of spatial thinking skills for students' academic success, and self-efficacy in cultivating students' spatial skills during science instruction. All measures exhibited high internal consistency and showed that elementary teachers experience low anxiety when solving spatial problems and feel strongly that their skills can improve with practice. Teachers were able to identify educational problems that rely on spatial problem-solving and believed that spatial skills are more important for older compared to younger students. Despite reporting high efficacy in their general teaching and science teaching, teachers reported significantly lower efficacy in their capacities to cultivate students' spatial skills during science instruction. Results were fairly consistent across teacher characteristics (e.g., years of experience and teaching role as generalist or specialist) with the exception that only years of teaching science was related to teachers' efficacy in cultivating students' spatial thinking skills during science instruction. Results are discussed within the broader context of teacher beliefs, self-efficacy, and implications for professional development research. 相似文献
16.
This research investigated the effects of selected characteristics of a web-aided instructional simulation on students' conceptual change, problem solving and transfer. A two-pronged research study was conducted using 117 students enrolled in a beginning meteorology course at Iowa State University. For the experimental design, the performances of three groups (the with-log group, the without-log group and the control group) were compared on post-test scores and a weather forecasting activity. No statistically significant differences ( p < 0.05) were found among the groups on these measures. However, follow-up interview data obtained from five diverse students in the treatment group showed that the simulation with authentic situations, multiple representations and the capability of reviewing previous actions supported science learning. For the student who was able to readily take advantage of the information contained in the log and graphs, the simulation exercises were quickly completed and a sufficient understanding of the concept was developed to transfer the newly-gained knowledge to new situations, weather forecast exercises. For others, the simulation was less effective. Only one interviewee showed all three stages of Goos and Galbraith's model of problem solving. This student also demonstrated a better understanding of how to transfer newly-gained knowledge to weather forecast exercises. The other four interviewees, who did not show the features of all the stages, needed the teachers' facilitation to develop their problem-solving skills in order to achieve optimal learning when using the instructional simulation. 相似文献
17.
Xiao-Ming Wang Gwo-Jen Hwang 《Educational technology research and development : ETR & D》2017,65(6):1655-1671
Computer programming is a subject that requires problem-solving strategies and involves a great number of programming logic activities which pose challenges for learners. Therefore, providing learning support and guidance is important. Collaborative learning is widely believed to be an effective teaching approach; it can enhance learners’ social interaction and offer a learning environment which provides rich learning experiences. However, the social interaction in collaborative learning does not occur automatically. Without proper guidance strategies or supporting tools for collaborative learning, the learning effects can be disappointing. To solve such a problem, a problem posing-based practicing strategy was proposed to support the development of a collaborative learning activity in a computer programming practice course. The students were guided to raise computer programming problems to boost the discussion among team members. The problems raised in each team were then exchanged and solved by another team to examine the coding and to provide feedback. To investigate the effectiveness of the proposed approach, an experiment was conducted in a C# programming course. Two classes of students from a university participated in the experiment. One class with 25 students was randomly assigned as the experimental group, and learned with a collaborative learning activity using the problem posing-based practicing strategy; the other class with 28 students was the control group, which learned with a conventional collaborative learning activity. The results show that the proposed strategy benefited the students in terms of improving their learning achievement, in particular, their programming skills. Moreover, it was found that the students who learned with the proposed approach had higher self-efficacy and lower cognitive load than those who learned with the conventional collaborative learning approach. 相似文献
18.
Justus H. Piater 《Computer Science Education》2013,23(3):179-192
Conventional introduction to computer science presents individual algorithmic paradigms in the context of specific, prototypical problems. To complement this algorithm-centric instruction, this study additionally advocates problem-centric instruction. I present an original problem drawn from students' life that is simply stated but provides rich discussions of different approaches. It lends itself to a wide range of didactic means from individual or group study to whole class discussions under various levels of guidance by the instructor. I suggest diverse algorithms for solving it, covering some of the most important algorithmic paradigms. Some of these algorithms (greedy, divide-and-conquer) do not produce optimal solutions but may nevertheless have their merits in practice. The best algorithms are illustrative instances of some of the most sophisticated paradigms introduced in undergraduate curricula (dynamic programming, graphs). 相似文献
19.
John A. Hansen Michael Barnett James G. MaKinster Thomas Keating 《International Journal of Science Education》2013,35(13):1555-1575
In this study, we explore an alternate mode for teaching and learning the dynamic, three‐dimensional (3D) relationships that are central to understanding astronomical concepts. To this end, we implemented an innovative undergraduate course in which we used inexpensive computer modeling tools. As the second of a two‐paper series, this report focuses on the qualitative differences of students' understandings of both spatial and declarative knowledge domains as reflected by their two distinct learning environments — a traditional astronomy classroom and an experimental astronomy course grounded in problem‐solving and modeling with dynamic, 3D, computational modeling software. We found that students who constructed 3D computational models tended to have a more scientifically sophisticated understanding of dynamic spatial relationships, whereas students in the traditional class developed more accurate understandings of the properties and general facts and figures regarding celestial bodies. 相似文献
20.
Bojan Tomić Jelena Jovanović Nikola Milikić Vladan Devedžić Sonja Dimitrijević Dragan Đurić Zoran Ševarac 《British journal of educational technology : journal of the Council for Educational Technology》2019,50(2):518-530
Well-developed programming (technical) skills are very important for software engineers, information systems engineers and programmers in general. However, they must also possess relevant personal skills (soft skills) to be successful at the workplace (eg, collaboration, solving real-world problems and communication). The latter, however, are rarely assessed and acknowledged in regular software engineering courses. This paper describes the results of a small case study involving an extracurricular Java programming course in which, in addition to knowledge and skills in relevant technologies, students' soft skills were also assessed. As part of the assessment, students have been awarded Open Badges. The study was exploratory in nature, aimed at examining Open Badges as a motivational mechanism, students' engagement in attaining soft skills and students' perception of soft skills and Open Badges. The results suggest that Open Badges may not be so effective in motivating students to complete the assignments nor attend the course, although students' perception of Open Badges is generally positive. Soft skills were generally perceived as important as hard skills. Students' engagement in attaining soft skills could be affected by assignment announcement time and its level of difficulty. 相似文献