所以如下整理還只是基于2019年6月JCR公布的2018年SSCI期刊及其影響因子；與此同時，2019年6月JCR公布的SSCI期刊是243個，如下整理的57個，佔比23.5%。一、教育技術SSCI期刊（一）教育技術輔助學習SSCI期刊11 LANGUAGE LEARNING & TECHNOLOGY 語言學習與技術 2.57113 JOURNAL OF COMPUTER ASSISTED LEARNING 計算機輔助學習雜志 2.45115 Learning Media and Technology 學習媒體與技術 2.37316 IEEE Transactions on Learning Technologies 學習技術的IEEE匯刊 2.31519 International Journal of Computer-Supported Collaborative Learning 國際計算機支持協作學習雜志 2.206（二）教育技術輔助網絡教育SSCI期刊2 Internet and Higher Education 網絡與高等教育 5.28421 Computer Assisted Language Learning 計算機輔助語言學習 2.01829 Distance Education 遠程教育 1.729（三）教育技術其他方面SSCI期刊1 COMPUTERS & EDUCATION 計算機與教育 5.62710 BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY 英國教育技術雜志 2.58820 ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT 教育技術研究與開發 2.11522 SYSTEM 系統 1.93024 International Journal of Educational Technology in Higher Education 國際高等教育技術學報 1.92225 Journal of Computing in Higher Education 高等教育計算機學報 1.87028 Journal of Science Education and Technology 科學教育與技術雜志 1.78530 Australasian Journal of Educational Technology 澳大利亞教育技術雜志 1.57834 JOURNAL OF EDUCATIONAL COMPUTING RESEARCH 教育計算研究雜志 1.543二、課程與教學論SSCI期刊（一）學習論SSCI期刊3 LEARNING AND INSTRUCTION 學習與指導 3.9174 JOURNAL OF THE LEARNING SCIENCES 學習科學雜志 3.5458 Metacognition and Learning 元認知與學習 2.75015 Learning Media and Technology 學習媒體與技術 2.37316 IEEE Transactions on Learning Technologies 學習技術的IEEE匯刊 2.31517 Active Learning in Higher Education 高等教育中的主動學習 2.29423 INTERACTIVE LEARNING ENVIRONMENTS 互動學習環境 1.92926 International Review of Research in Open and Distributed Learning 開放與分布式學習研究的國際回顧 1.83044 Learning Culture and Social Interaction 學習文化與社會互動 1.14356 Australian Journal of Adult Learning 澳大利亞成人學習雜志 0.467（二）教學論SSCI期刊7 JOURNAL OF EXPERIMENTAL EDUCATION 實驗教育雜志 2.9199 International Journal of Bilingual Education and Bilingualism 雙語教育與雙語國際期刊 2.62012 Journal of Research on Educational Effectiveness 教育效果研究雜志 2.48514 TEACHING AND TEACHER EDUCATION 教學與教師教育 2.41127 Teachers and Teaching 教師與教學 1.79831 INSTRUCTIONAL SCIENCE 教學科學 1.57633 Language Teaching 語言教學 1.56535 Journal of Hospitality Leisure Sport & Tourism Education 酒店休閒體育與旅遊教育雜志 1.51936 Linguistics and Education 語言學與教育 1.51641 INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL 國際教育教學創新 1.17143 Language and Education 語言與教育 1.16447 TEACHING SOCIOLOGY 教學社會學 1.01949 TEACHING OF PSYCHOLOGY 心理學教學 0.980（三）課程論SSCI期刊32 Language Culture and Curriculum 語言文化與課程 1.57137 JOURNAL OF CURRICULUM STUDIES 課程研究雜志 1.42048 CURRICULUM INQUIRY 課程探究 0.98157 Curriculum Matters 課程事項 0.000三、教師教育SSCI期刊5 JOURNAL OF TEACHER EDUCATION 教師教育學報 3.26314 TEACHING AND TEACHER EDUCATION 教學與教師教育 2.41118 European Journal of Teacher Education 歐洲教師教育雜志 2.28627 Teachers and Teaching 教師與教學 1.79842 READING TEACHER 閱讀教師 1.16850 TEACHERS COLLEGE RECORD 教師專業檔案 0.91051 Asia-Pacific Journal of Teacher Education 亞太師範教育雜志 0.90352 Teacher Education and Special Education 教師教育與特殊教育 0.884四、數學教育SSCI期刊6 JOURNAL FOR RESEARCH IN MATHEMATICS EDUCATION 數學教育研究雜志 3.06338 JOURNAL OF EDUCATION FOR TEACHING 教學教育雜志 1.37339 Educational Studies in Mathematics 數學教育學 1.29240 Mathematical Thinking and Learning 數學思維與學習 1.22246 International Journal of Science and Mathematics Education 國際科學與數學教育雜志 1.027五、亞太等教育SSCI期刊45 Asia Pacific Journal of Education 亞太教育雜志 1.07151 Asia-Pacific Journal of Teacher Education 亞太師範教育雜志 0.90353 Asia Pacific Education Review 亞太教育評論 0.84754 Asia-Pacific Education Researcher 亞太教育研究員 0.84655 South African Journal of Education 南非教育雜志 0.693 總體上，相對于自己之前整理過的2次來說，
共46頁。 自動駕駛車輛週圍物體的檢測和跟蹤對車輛的安全運行至關重要。本文提出了一種檢測、分類和跟蹤目標的算法。所有物體按類型（如車輛、行人或其他）分為移動或靜止目標。提出的方法使用最先進的深度學習網絡YOLO（You Only Look Once）結合激光掃描儀數據來檢測和分類物體，並估計物體在汽車週圍的位置。面向FAST和旋轉BRIEF（ORB）的特征描述符用于將同一對象從一個圖像幀匹配到另一個圖像幀，利用擴展卡爾曼濾波器將該信息與GPS/INS耦合測量數據融合。由此得到的解決方案有助于定位汽車本身及其環境中的對象，
並在牛津市中心擁擠的城市環境中採集了數據。 The detection and tracking of objectsaround an autonomous vehicle is essential to operate safely. This paperpresents an algorithm to detect錛 classify錛 and track objects. All objects areclassified as moving or stationary as well as by type (e.g. vehicle錛pedestrian錛 or other). The proposed approach uses state of the artdeep-learning network YOLO (You Only Look Once) combined with data from a laserscanner to detect and classify the objects and estimate the position of objectsaround the car. The Oriented FAST and Rotated BRIEF (ORB) feature descriptor isused to match the same object from one image frame to another. This informationfused with measurements from a coupled GPS/INS using an Extended Kalman Filter.The resultant solution aids in the localization of the car itself and theobjects within its environment so that it can safely navigate the roadsautonomously. The algorithm has been developed and tested using the datasetcollected by Oxford Robotcar. The Robotcar is equipped with cameras錛 LiDAR錛 GPSand INS collected data traversing a route through the crowded urban environmentof central Oxford. 1. 引言2. 相關論文3. 文獻回顧、擴展方法與結果更多精彩文章請關注公眾號：，
