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Informatics in Education ; 21(2):235-251, 2022.
Article in English | ProQuest Central | ID: covidwho-2057558


This study reports the findings of a program that aims to develop pre-service science teachers' computational problem-solving skills and views on using information and communications technology in science education. To this end, pre-service science teachers were trained on computational thinking, computational problem solving, designing an algorithm, and Python coding, and then they were asked to solve problem situations determined within the science education program using the computational problem-solving process. The study was conducted in a faculty of education in Turkey and carried out conducted in an elective course in the spring semester of the 2019-2020 academic year (in an online platform due to the COVID-19 Pandemic). 38 pre-service science teachers were included in the study. In this process, pre-service science teachers' conceptual development levels regarding computational thinking and their views regarding the use of ICT in schools were collected quantitatively. The development of computational problem-solving skills of pre-service science teachers was scored by a rubric developed in this study. According to the analyzes, pre-service science teachers increased knowledge of computational thinking (t = -5,969, p = 0.000), enhanced views regarding the use of ICT in schools (t = -2,436, p = 0.020), and developed computational problem-solving skills (X[superscript 2][subscript (2)] = 9.000, p = 0,011). These findings have the potential to provide evidence on how computational problem-solving skills can be integrated into science teacher education programs.

Interactive Technology and Smart Education ; 19(1):112-120, 2021.
Article in English | ProQuest Central | ID: covidwho-1831676


Purpose: The purpose of this study is to design and implement an intelligent online proctoring system (IOPS) by using the advantage of artificial intelligence technology in order to monitor the online exam, which is urgently needed in online learning settings worldwide. As a pilot application, the authors used this system in an authentic university online exam and checked the proctoring result. Design/methodology/approach: The IOPS adopts the B/S (Browser/Server) architecture. The server side is implemented with programming language C and Python and stores the identification data of all examinees and their important behavior change status, including facial expression, eye and mouth movement and speech. The browser side collects and analyzes multimodal data of the examinee writing the online test locally and transfers the examinee's most important behavior status change data to the server. Real-time face recognition and voice detection are implemented with the support of open-source software. Findings: The system was integrated into a Web-based intelligent tutoring system for school mathematics education. As a pilot application, the system was also used for online proctored exam in an undergraduate seminar in Peking University during the epidemic period in 2020. The recorded log data show that all students concentrated themselves on the exam and did not leave the camera and did not speak. Originality/value: During the epidemic period of the novel coronavirus outbreak, almost all educational institutions in the world use online learning as the best way to maintain the teaching and learning schedule for all students. However, current online instruction platforms lack the function to prevent the learners from cheating in online exams and cannot guarantee the integrity and equality for all examinees as in traditional classroom exams. The literature review shows that the online proctoring system should become an important component of online exams to tackle the growing online cheating problem. Although such proctoring systems have been developed and put on the market, the practical usage of such systems in authentic exams and its effect have not been reported. Those systems are heavyweight and commercial product and cannot be freely used in education. The light-weight IOPS developed by the authors could meet the need for online exam as a stable and practical approach and could contribute to the growing online learning and distance learning.

3C TIC ; 11(2):136-144, 2022.
Article in English | ProQuest Central | ID: covidwho-2217791
2022 IEEE Frontiers in Education Conference, FIE 2022 ; 2022-October, 2022.
Article in English | Scopus | ID: covidwho-2191764
4th International Conference on Computer Science and Technologies in Education, CSTE 2022 ; : 27-30, 2022.
Article in English | Scopus | ID: covidwho-2191701
International Journal of Advanced Computer Science and Applications ; 13(10):45-51, 2022.
Article in English | Scopus | ID: covidwho-2145460
Sustainability ; 14(19):12578, 2022.
Article in English | ProQuest Central | ID: covidwho-2066429
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2045990
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2045686
Robotics ; 11(4):69, 2022.
Article in English | ProQuest Central | ID: covidwho-2024031
Sustainability ; 14(15):9672, 2022.
Article in English | ProQuest Central | ID: covidwho-1994197
Journal of Information Systems & Operations Management ; 16(1):209-230, 2022.
Article in English | ProQuest Central | ID: covidwho-1970753
IEEE Revista Iberoamericana de Tecnologias del Aprendizaje ; 17(2):140-149, 2022.
Article in Spanish | ProQuest Central | ID: covidwho-1831864
3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021 ; : 586-591, 2021.
Article in English | Scopus | ID: covidwho-1774606
Science China. Information Sciences ; 65(4), 2022.
Article in English | ProQuest Central | ID: covidwho-1750812
National Technical Information Service; 2020.
Non-conventional in English | National Technical Information Service | ID: grc-753672


In this reporting period, the didactic coursework and training opportunities that were proposed for this project were completed. However, significant disruptions to research activities were encountered due to the ongoing COVID-19 pandemic response and ACURO approval delays. These factors led to the application and approval of a no cost extension to complete all proposed work. Nevertheless, all study approvals (IACUC, ACURO, HRPO) have been obtained and experiments using fibroblast growth factor receptor and androgen receptor inhibitors inpatient derived xenograft models are underway. The approved project objectives and scope will not change and the work to be completed in the extension period will include all experiments and analyses related to Specific Aim 1.

Multimodal Technologies and Interaction ; 6(2):13, 2022.
Article in English | ProQuest Central | ID: covidwho-1715571
Mathematics ; 10(4):537, 2022.
Article in English | ProQuest Central | ID: covidwho-1715525
Materials ; 15(4):1467, 2022.
Article in English | ProQuest Central | ID: covidwho-1715521
Turkish Journal of Computer and Mathematics Education ; 12(12):4652-4658, 2021.
Article in English | ProQuest Central | ID: covidwho-1678781