The purpose of this study was to investigate whether statistically significant differences existed between high school Honors Physics websites and those of Advanced Placement (AP) Physics in terms of web-design, National Science Education Standards (NSES) Physics content, and NSES Science Process standards. The procedure began with the selection of 152 sites comprising two groups with equal sample sizes of 76 for Honors Physics and for Advanced Placement Physics. The websites used in the study were accumulated using the Google[TM] search engine. To find Honors Physics websites, the search words "honors physics high school" were entered as the query into the search engine. To find sites for Advanced Placement Physics, the query, "advanced placement physics high school," was entered into the search engine. The evaluation of each website was performed using an instrument developed by the researcher based on three attributes: Web-design, NSES Physics content, and NSES Science Process standards. A "1" was scored if the website was found to have each attribute, otherwise a "0" was given. This process continued until all 76 websites were evaluated for each of the two types of physics websites, Honors and Advanced Placement. Subsequently the data were processed using Excel functions and the SPSS statistical software program. The mean and standard deviation were computed individually for the three attributes under consideration. Three, 2-tailed, independent samples t tests were performed to compare the two groups of physics websites separately on the basis of Web Design, Physics Content, and Science Process. The results of the study indicated that there was only one statistically significant difference between high school Honors Physics websites and those of AP Physics. / The only difference detected was in terms of National Science Education Standards Physics content. It was found that Advanced Placement Physics websites contained more NSES physics content than Honors Physics websites. There was no significant difference found between the two types of high school physics websites in regards to web-design, and NSES science process standards. It is hoped that the results of this study may serve as a guide for researchers to explore the role of Web-Assisted Instruction (WAI) as an enhancement to traditional instruction in physics. With the first generation to grow up in the digital age now in high school, WAI may prove to be useful as method to improve critical thinking skills and provide opportunities for inquiry beyond the classroom. / by Ronald C. Persin. / Vita. / Thesis (Ed.D.)--Florida Atlantic University, 2009. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.

The purpose of this research was to explore middle school leaders' perceptions of the reasons girls' enrollment levels in science courses during high school declines and if the advice given to middle school girls may be perpetuating the diminished enrollment of girls in science courses as they move from middle school to high school. The study explored the contributions of expectancy and role theory using a qualitative method. Data analysis found that cultural influences on middle school girls' career goals emerged as a significant influence on school leaders' perceptions. Instructional methodology and cultural, gendered assumptions of women in science were found as themes in middle school leaders' perceptions that further shaped the advice to girls to enroll in high school science courses. The study provided information that clarified how middle school leaders can maintain the academic pathway for girls in science as well as recommendations for further study. / by Lori Kijanka. / Thesis (Ph.D.)--Florida Atlantic University, 2009. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web.

by Siu Lai Ping, Teresa. / Thesis (M.A. Ed)--Chinese University of Hong Kong, 1983 / Bibliography: leaves 60-64

by Lau Yuk-kam, Eileen. / Thesis (M.B.A.)--Chinese University of Hong Kong, 1995. / Includes bibliographical references (leave 60). / ABSTRACT --- p.ii / TABLE OF CONTENT --- p.iv / LIST OF TABLES --- p.vi / ACKNOWLEDGMENTS --- p.vii / CHAPTER / Chapter I. --- INTRODUCTION --- p.1 / Organization of the Report --- p.3 / Chapter II. --- METHODOLOGY --- p.4 / Literature Review --- p.4 / Data Collection --- p.5 / Curricula Information --- p.5 / Job Advertisement --- p.6 / Data Analysis --- p.7 / Chapter III. --- LITERATURE REVIEW --- p.8 / Computer Science (CS) Curriculum --- p.8 / Information System (IS) Curriculum --- p.10 / Differences between CS & IS Curricula --- p.14 / Related Works --- p.15 / Chapter IV. --- RESULTS --- p.17 / Computer Related Curricula in Hong Kong --- p.17 / Computer Related Job Market in Hong Kong --- p.25 / Chapter V. --- ANALYSIS --- p.29 / Design of Computer Curricula by Local Universities --- p.29 / Employers' Perception of CS & IS --- p.31 / CS & IS Job Mis-match --- p.34 / Appropriateness of Universities in Preparing Graduates --- p.35 / Computer Science Curricula --- p.35 / Information Systems --- p.36 / Chapter VI. --- CONCLUSION & FUTURE WORK --- p.38 / Future Work --- p.39 / APPENDIX --- p.41 / BIBLIOGRAPHY --- p.60

影印稿本. / Thesis (M.A.)--香港中文大學敎育學院. / Ying yin gao ben. / Includes bibliographical references (leaves 105-110). / Thesis (M.A.)--Xianggang Zhong wen da xue jiao yu xue yuan. / Chapter 第一章 --- 導言 --- p.1 / 問題說明 --- p.1 / 研究動機與目的 --- p.21 / 有關文獻 --- p.24 / 假設 --- p.36 / 定義 --- p.38 / Chapter 第二章 --- 研究方法 --- p.42 / 研究對象 --- p.42 / 研究工具 --- p.45 / 研究設計 --- p.48 / 研究程序 --- p.50 / 資料分析 --- p.51 / Chapter 第三章 --- 結果與討論 --- p.53 / Chapter 第四章 --- 摘要、結論及建議 --- p.92 / 參攷文獻 / 中文 --- p.105 / 英文 --- p.108 / 附錄 --- p.111

Lo Suet-yee. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 143-153). / Abstracts in English and Chinese. / Abstracts --- p.i-iii / Acknowledgements --- p.iv / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1. 1 --- Emergence of Primary Science Education and the General Development of Science Curriculum in the World / Chapter 1.2 --- Literature Review of Development of Primary Science Curriculumin Hong Kong / Chapter 1.3 --- The Organization of This Study / Chapter Chapter 2 --- Historical Review of the Hong Kong Primary School System and Major Research Concerns of This Study --- p.8 / Chapter 2.1 --- "Historical Review of Primary Schooling and its Political, Social, and Economic Context" / Chapter 2.2 --- Curriculum Decision-Making in Hong Kong Primary Schooling / Chapter 2.3 --- Concluding Remarks / Chapter 2.4 --- Major Research Concerns of This Study / Chapter Chapter 3 --- Literature Review --- p.29 / Chapter 3.1 --- Functionalist Theory / Chapter 3.2 --- Conflict Theory / Chapter 3.3 --- Institutionalist Theory / Chapter Chapter 4 --- Methodological Approach --- p.56 / Chapter 4.1 --- Official Syllabi of Primary Science Curriculum / Chapter 4.2 --- Government Document on Educational and Curricular Policies / Chapter 4.3 --- Documentary Analysis / Chapter 4.4 --- Limitations of My Study / Chapter Chapter 5 --- Historical Analysis of Primary Science Curriculum in Hong Kong --- p.63 / Chapter 5.1 --- Historical Review of Primary Science Curriculum in Hong Kong / Chapter 5.2 --- Analysis of Educational Aims / Chapter 5.3 --- Analysis of Pedagogy / Chapter 5.4 --- Analysis of Educational Content / Chapter 5.5 --- "Summary of the Evolving Pattern of Primary Science Curriculum: Aims, Pedagogy, and Educational Content" / Chapter 5.6 --- Historical Changes of the Primary Science Curriculum and Assessment of Major Sociological Perspectives / Chapter 5.7 --- Some Concluding Remarks / Chapter Chapter 6 --- The Role of Government in the Development of Primary Science Curriculum --- p.115 / Chapter 6.1 --- Development of Discourses in Education and Curriculum / Chapter 6.2 --- Concluding Remarks / Chapter Chapter 7 --- Conclusion --- p.139 / Chapter 7.1 --- Sociological Implications of Curricular Changes / Chapter 7.2 --- Limitations of This Study / Chapter 7.3 --- Agenda for Further Research / Bibliography --- p.143

這項研究的目的旨在探討香港15歲學生在科學素養上的性別差異及這些差異如何影響男女生在選擇以科學作為升學及職業的動機。 / 本研究的數據取自2006年在本港舉行的香港學生能力國際評估計劃(Programme for International Student Assessment)。該計劃的4645學生樣本取自146所學校，包括：官立、資助及私立學校，以兩階段分層隨機抽樣的方法選取。 / 學生能力國際評估計劃如其他大型國際評估一樣，其評估框架採用多維試題架構。本研究採用配合該試題架構及樣本結構的多維試題功能（MDIF）及多層中介變項（MLM）兩個研究方法，去了解15歲男女學生在科學素養(認知和情感)上的性別差異及這些差異如何影響男女生在選擇以科學作為升學及職業的動機。比較常用的均差t-檢定，MDIF具備提高各次級量尺的精確度特質，因而可以更有效和準確地計算出男女學生在科學素養上的性別差異。MLM則以Eccles (1983) 的成功期望價值理論為學理基礎去分析和了解這些性別差異如何影響男女生在選取與科學相關的升學途徑和擇業的動機。 / 要完成MLM的研究，我們必須先使用單組驗證性因子分析(Single-Group CFA)驗證經濟合作與發展組織(OECD)所建構的六項情意因素，包括：「科學上的自我概念」、「科學的個人價值」、「科學的興趣」、「對科學的喜好」、「學習科學的工具性動機」和「將來工作而學習科學的動機」，以便了解使用這些源自西方社會的情意因素在本土研究的可行性及效度。接着使用本土數據去調整這六項情意因素結構。最後利用多組驗證性因子分析(Multiple-Group CFA)去確定這些因素結構對男女生是否都適用(即測量等同檢驗Measurement Invariance Test)。 / 由單組驗證性因子分析結果得知，六項情意因素，除了要對「科學的興趣」因素作較大幅度的修改外，其他五項因素都具有良好的心理測量特性。而多組驗證性因子分析的結果亦顯示，六項情意因素都能通過測量等同檢驗，亦即這六項因素結構對男女生都適用。 / 研究結果顯示除了「鑑定形成科學議題」能力外，本港15歲的男生在「解釋科學現象」及「科學證」等科學認知層面上優於女生。在科學情意發展上，男生比女生亦有更好的發展，其效應值(effect size)更高於認知層面。 / MLM的研究結果與Eccles的成功期望價值理論預測結果吻合，也就是說，男女生在面向未來升學選科和擇業動機上呈現明顯的性別差異，而這些差異主要是透過情意因素(中介變項)間接影響男女生的選擇意向。就這些因素而言，女生在選取科學作為未來升學途徑和職業動機明顯地較男生為弱。 / 整體而言，驗證性因子分析結果和MLM的研究結果支持源自西方社會的Eccles成功期望價值理論具備跨文化效度，在香港華人社會的研究結果與西方結果基本吻合。 / 最後，本文作者將根據本研究的結果，向科學教育的工作者、教師、父母、課程發展人員、政策的制定者和考核機構提供一些可行的建議，希望藉此改善香港男女生在科學生涯規劃上的性別差異。 / The aim of this study is to investigate the effect of gender differences of 15-year-old students on scientific literacy and their impacts on students' motivation to pursue science education and careers (Future-oriented Science Motivation) in Hong Kong. / The data for this study was collected from the Program for International Student Assessment in Hong Kong (HKPISA). It was carried out in 2006. A total of 4,645 students were randomly selected from 146 secondary schools including government, aided and private schools by two-stage stratified sampling method for the assessment. / HKPISA 2006, like most of other large-scale international assessments, presents its assessment frameworks in multidimensional subscales. To fulfill the requirements of this multidimensional assessment framework, this study deployed new approaches to model and investigate gender differences in cognitive and affective latent traits of scientific literacy by using multidimensional differential item functioning (MDIF) and multilevel mediation (MLM). Compared with mean score difference t-test, MDIF improves the precision of each subscales measure at item level and the gender differences in science performance can be accurately estimated. In the light of Eccles et al (1983) Expectancy-value Model of Achievement-related Choices (Eccles' Model), MLM examines the pattern of gender effects on Future-oriented Science Motivation mediated through cognitive and affective factors. / As for MLM investigation, Single-Group Confirmatory Factor Analysis (Single-Group CFA) was used to confirm the applicability and validity of six affective factors which was, originally prepared by OECD. These six factors are Science Self-concept, Personal Value of Science, Interest in Science Learning, Enjoyment of Science Learning, Instrumental Motivation to Learn Science and Future-oriented Science Motivation. Then, Multiple Group CFA was used to verify measurement invariance of these factors across gender groups. / The results of Single-Group CFA confirmed that five out of the six affective factors except Interest in Science Learning had strong psychometric properties in the context of Hong Kong. Multiple-group CFA results also confirmed measurement invariance of these factors across gender groups. / The findings of this study suggest that 15-year-old school boys consistently outperformed girls in most of the cognitive dimensions except identifying scientific issues. Similarly, boys have higher affective learning outcomes than girls. The effect sizes of gender differences in affective learning outcomes are relatively larger than that of cognitive one. / The MLM study reveals that gender effects on Future-oriented Science Motivation mediate through affective factors including Science Self-concept, Enjoyment of Science Learning, Interest in Science Learning, Instrumental Motivation to Learn Science and Personal Value of Science. Girls are significantly affected by the negative impacts of these mediating factors and thus Future-oriented Science Motivation. The MLM results were consistent with the predications by Eccles' Model. / Overall, the CFA and MLM results provide strong support for cross-cultural validity of Eccles’ Model. In light of our findings, recommendations to reduce the gender differences in science achievement and Future-oriented Science Motivation are made for science education participants, teachers, parents, curriculum leaders, examination bodies and policy makers. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Detailed summary in vernacular field only. / Wong, Kwan Yin. / Thesis (Ed.D.)--Chinese University of Hong Kong, 2012. / Includes bibliographical references (leaves 158-182). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese. / ABSTRACT --- p.i / ACKNOWLEDGEMENTS --- p.v / TABLE OF CONTENTS --- p.vi / LIST OF TABLES --- p.xi / LIST OF FIGURES --- p.xiii / ABBREVIATIONS --- p.xiv / Chapter CHAPTER ONE --- INTRODUCTION / Chapter 1.1 --- Background of the study --- p.1 / Chapter 1.1.1 --- Gender-equity in global content of education --- p.2 / Chapter 1.1.2 --- Gender differences in science performance and affective learning --- p.8 / Chapter 1.1.3 --- Gender differences in variability of science performance --- p.11 / Chapter 1.1.4 --- PISA background --- p.13 / Chapter 1.2 --- Weaknesses of previous gender studies --- p.13 / Chapter 1.2.1 --- Weaknesses of measurement models based on total score --- p.13 / Chapter 1.2.2 --- Weaknesses of unidimensional measurement models --- p.14 / Chapter 1.2.3 --- Strength of multidimensional IRT models --- p.14 / Chapter 1.2.4 --- Strength of multilevel models --- p.14 / Chapter 1.3 --- Research questions --- p.16 / Chapter 1.4 --- Significance of the study --- p.17 / Chapter 1.4.1 --- For gender-equity educational policies in Hong Kong --- p.17 / Chapter 1.4.2 --- For local economic growth --- p.18 / Chapter 1.4.3 --- For gender-inclusive science curriculums, assessments & teachers' training --- p.19 / Chapter 1.4.4 --- For academic discourse in gender-equity --- p.20 / Chapter 1.5 --- Structure of the thesis --- p.20 / Chapter 1.6 --- Summary --- p.21 / Chapter CHAPTER TWO --- LITERATURE REVIEW / Chapter 2.1 --- Defining scientific literacy by historical review --- p.22 / Chapter 2.1.1 --- Cognitive domain of scientific literacy --- p.22 / Chapter 2.1.2 --- Affective domain of scientific literacy --- p.30 / Chapter 2.1.2.1 --- Taxonomy of affective domain elements in science education --- p.30 / Chapter 2.1.2.2 --- Science self-concept --- p.31 / Chapter 2.1.2.3 --- Motivation in science learning --- p.31 / Chapter 2.2 --- Gender differences in scientific literacy --- p.33 / Chapter 2.2.1 --- Defining gender: the nature versus nurture debate --- p.33 / Chapter 2.2.2 --- Gender differences in cognitive learning outcomes --- p.33 / Chapter 2.2.3 --- Gender differences in affective learning outcomes --- p.38 / Chapter 2.2.4 --- Gender differences in science educational and occupational choices --- p.40 / Chapter 2.3 --- Factors attributing gender differences --- p.44 / Chapter 2.3.1 --- Biological contributions --- p.44 / Chapter 2.3.1.1 --- Evolutionary psychology perspectives --- p.44 / Chapter 2.3.1.2 --- Brain structural perspectives --- p.45 / Chapter 2.3.1.3 --- Brain functional perspectives --- p.45 / Chapter 2.3.1.4 --- Hormonal perspectives --- p.46 / Chapter 2.3.2 --- Sociocultural contributions --- p.46 / Chapter 2.3.2.1 --- Gender-role --- p.47 / Chapter 2.3.2.2 --- Schooling and family conditions --- p.47 / Chapter 2.3.3 --- Item characteristics attributing to gender differences --- p.49 / Chapter 2.3.3.1 --- Scientific content --- p.49 / Chapter 2.3.3.2 --- Item format --- p.49 / Chapter 2.3.4 --- Expectancy-value model of achievement-related choices in science --- p.50 / Chapter 2.3.4.1 --- Self-concept of ability as mediator of gendered choices --- p.51 / Chapter 2.3.4.2 --- Subjective task values as mediators of gendered choices --- p.52 / Chapter 2.4 --- Local research on gender differences in scientific literacy . --- p.52 / Chapter 2.4.1 --- Gender differences in science performance --- p.52 / Chapter 2.4.2 --- Gender differences in affective domain --- p.56 / Chapter 2.5 --- Summary --- p.57 / Chapter CHAPTER THREE --- RESEARCH DESIGN AND METHODS / Chapter 3.1 --- PISA 2006 database --- p.58 / Chapter 3.2 --- Conceptual framework of present study --- p.60 / Chapter 3.3 --- Conceptualization and operationalization of scientific literacy --- p.62 / Chapter 3.3.1 --- Cognitive domain --- p.61 / Chapter 3.3.2 --- Affective domain --- p.63 / Chapter 3.3.2.1 --- Science Self-concept --- p.65 / Chapter 3.3.2.2 --- Personal Value of Science --- p.67 / Chapter 3.3.2.3 --- Interest and Enjoyment of Science Learning --- p.68 / Chapter 3.3.2.4 --- Motivation to Learn Science --- p.72 / Chapter 3.4 --- Conceptualization and operationalization of Parental SES --- p.74 / Chapter 3.5 --- Multidimensional Differential Item Functioning (MDIF) --- p.75 / Chapter 3.5.1 --- The item response (IRT) model --- p.75 / Chapter 3.5.1.1 --- DIF model for gender differences studies --- p.77 / Chapter 3.5.1.2 --- Effect size by DIF --- p.79 / Chapter 3.5.1.3 --- Item fit statistics --- p.79 / Chapter 3.6 --- Model testing in SEM . --- p.80 / Chapter 3.7 --- Summary --- p.80 / Chapter CHAPTER FOUR --- GENDER DIFFERENCES IN STUDENTS’ COGNITIVE & AFFECTIVE LEARNING OUTCOMES / Chapter 4.1 --- Gender differences in students' cognitive outcomes --- p.81 / Chapter 4.1.1 --- Gender differences in science performance dimensions --- p.81 / Chapter 4.1.1.1 --- Gender differences in science performance dimensions measured by MSD --- p.82 / Chapter 4.1.1.2 --- Gender differences in science performance dimensions measured by MDIF --- p.84 / Chapter 4.1.2 --- Gender differences in content domains --- p.86 / Chapter 4.1.2.1 --- Gender differences in content domains measured by MSD --- p.86 / Chapter 4.1.2.2 --- Gender differences in content domains measured by MDIF --- p.87 / Chapter 4.1.3 --- Gender differences in item formats --- p.89 / Chapter 4.1.4 --- Gender variability in science performance --- p.90 / Chapter 4.1.4.1 --- Gender variability measured by variance ratio (B/G) --- p.90 / Chapter 4.1.4.2 --- Gender variability measured by number of students against each ability estimate --- p.92 / Chapter 4.2 --- Gender differences in students' affective learning outcomes measured by MSD --- p.95 / Chapter 4.3 --- Gender differences in science achievement related choices measured by MSD . --- p.98 / Chapter 4.4 --- Gender differences in students' affective learning outcomes measured by DIF --- p.99 / Chapter 4.5 --- Gender differences in science achievement related choices measured by DIF --- p.100 / Chapter 4.6 --- Summary --- p.101 / Chapter CHAPTER FIVE --- THE FINDINGS BY EXPECTANCY-VALUE MODEL OF ACHIEVEMENT-RELATED CHOICES / Chapter 5.1 --- Pearson correlations between affective factors and gender --- p.104 / Chapter 5.2 --- Gender differences by revised Expectancy-value Model --- p.106 / Chapter 5.2.1 --- Grouping homogeneity --- p.106 / Chapter 5.2.2 --- Mediation effect of Science Performance --- p.106 / Chapter 5.2.3 --- Mediation effect of Science Self-concept --- p.109 / Chapter 5.2.4 --- Mediation effect of Interest in Science Learning --- p.112 / Chapter 5.2.5 --- Mediation effect of Enjoyment of Science Learning --- p.113 / Chapter 5.2.6 --- Mediation effect of Interest and Enjoyment of Science Learning --- p.116 / Chapter 5.2.7 --- Mediation effect of Attainment Value --- p.117 / Chapter 5.2.8 --- Mediation effect of Utility Value --- p.119 / Chapter 5.2.9 --- Mediation through Attainment Value and Utility Value --- p.121 / Chapter 5.2.10 --- Full models of gender effects on Future-oriented Science Motivation --- p.122 / Chapter 5.3 --- Summary --- p.126 / Chapter CHAPTER SIX --- CONCLUSIONS AND IMPLICATIONS / Chapter 6.1 --- Database and data analysis --- p.129 / Chapter 6.2 --- Major findings --- p.130 / Chapter 6.2.1 --- Multidimensional DIF model --- p.130 / Chapter 6.2.2 --- Multilevel Mediation using Expectancy-Value Model --- p.134 / Chapter 6.3 --- Revisiting conceptual model --- p.137 / Chapter 6.4 --- Implications for policy and practice --- p.139 / Chapter 6.4.1 --- Implications for policy makers --- p.139 / Chapter 6.4.2 --- Implications for school administrators, teachers and textbook authors --- p.140 / Chapter 6.4.3 --- Implications for parents and students --- p.140 / Chapter 6.5 --- Limitations and recommendations for future research --- p.143 / Chapter 6.5.1 --- Limitations of the study --- p.143 / Chapter 6.5.2 --- Recommendations for future research --- p.144 / Chapter Appendix A --- Handling missing values --- p.146 / Chapter Appendix B --- Booklet effects --- p.149 / Chapter Appendix C --- Wright map for science performance dimensions --- p.151 / Chapter Appendix D --- Gender differences in scientific performance measured by MDIF --- p.152 / References --- p.158

In response to the federal legislation No Child Left Behind, schools across the country implemented required reading programs for classroom instruction. Open Court's Reading program meets this criterion for many schools. The text in Open Court Reading for grades two and three was evaluated for science and social science content standards that would be supportive of environmental education. Supplemental lessons from Project Learning Tree, Project WILD, and Project WET were identified.

The purpose of this research was to learn more about the uses and benefits of educational robotics in an elementary school curriculum.

The Framework for K-12 Science Education, the foundation for the Next Generation Science Standards, identifies scientific explanation as one of the eight practices "essential for learning science." In order to design professional development to help teachers implement these new standards, we need to assess students' current skill level in explanation construction, characterize current teacher practice surrounding it, and identify best practices for supporting students in explanation construction. This multiple-case study investigated teacher practice in eight high school science inquiry units in the Portland metro area and the scientific explanations the students produced in their work samples. Teacher Instructional Portfolios (TIPs) were analyzed with a TIP rubric based on best practices in teaching science inquiry and a qualitative coding scheme. Written scientific explanations were analyzed with an explanation rubric and qualitative codes. Relationships between instructional practices and explanation quality were examined. The study found that students struggle to produce high quality explanations. They have the most difficulty including adequate reasoning with science content. Also, teachers need to be familiar with the components of explanation and use a variety of pedagogical techniques to support students' explanation construction. Finally, the topic of the science inquiry activity should be strongly connected to the content in the unit, and students need a firm grasp of the scientific theory or model on which their research questions are based to adequately explain their inquiry results.