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Showing 1 to 15 of 43 results Save | Export
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Tang, Diya; Odeleye, Oluwatobi – Journal of Science Education and Technology, 2023
Student perceptions toward homework assigned in general chemistry courses was investigated in this study. The study participants were required to complete homework assignments using two different online systems, ALEKS (adaptive-responsive system) and Sapling (traditional-responsive system). An online survey investigating their general perceptions…
Descriptors: Student Attitudes, Homework, Chemistry, Student Experience
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Aekkalak Ratraikit; Chulida Hemtasin; Tawan Thongsuk; Wisarut Payoungkiattikun – Asian Journal of Contemporary Education, 2025
This action research aimed to enhance fluency thinking in the Year 9 Science and Technology course on Genetics by integrating bell ringer exams with inquiry-based learning. The study's objectives were to achieve an 80% pass rate in fluency thinking and to assess student satisfaction with this pedagogical approach. The sample comprised 20 Year 9…
Descriptors: High School Students, High School Teachers, Science Instruction, Genetics
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Nsabayezu, Ezechiel; Iyamuremye, Aloys; Mbonyiryivuze, Agnes; Niyonzima, Francois Niyongabo; Mukiza, Janvier – Education and Information Technologies, 2023
Formative assessment supports teachers in recognizing students' learning strengths and shortcomings and enhancing teaching and learning approaches. The current study aims to examine the impact of digital-based formative assessment on students' learning of organic chemistry. In this study, a mixed research strategy was used. Students in senior five…
Descriptors: Formative Evaluation, Computer Assisted Testing, Organic Chemistry, Science Instruction
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Carol Rentas; Ramapoza O'Dwyer; Rohini Ganjoo; Marcia A. Firmani; Cliff Cymrot; Yousif Barzani; Lisa S. Schwartz – International Journal of Distance Education Technologies, 2025
This study explored the relationships between English language proficiency and performance in online, asynchronous science courses. Each participant completed a Language Background Questionnaire (LBQ) to indicate if English was not their native language, thus categorizing them as an English Language Learner (ELL). The Combined English Language…
Descriptors: English Learners, Electronic Learning, Asynchronous Communication, Computer Assisted Testing
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Olivera-Aguilar, Margarita; Lee, Hee-Sun; Pallant, Amy; Belur, Vinetha; Mulholland, Matthew; Liu, Ou Lydia – ETS Research Report Series, 2022
This study uses a computerized formative assessment system that provides automated scoring and feedback to help students write scientific arguments in a climate change curriculum. We compared the effect of contextualized versus generic automated feedback on students' explanations of scientific claims and attributions of uncertainty to those…
Descriptors: Computer Assisted Testing, Formative Evaluation, Automation, Scoring
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Wright, Laura; Harkins, Heather; Kopriva, Rebecca; Auty, William; Malkin, Linda; Myers, Blake – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2022
The use of technology in assessment continues to evolve the field of educational measurement. This article reports on development and use of new accessible, technology-enhanced assessments designed to measure the three-dimensional science abilities of middle school students. The assessments were piloted with over 70 teachers and 8,000 students…
Descriptors: Middle School Students, Student Evaluation, Science Instruction, Computer Assisted Testing
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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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Yishen Song; Liming Guo; Qinhua Zheng – Education and Information Technologies, 2025
Scientific inquiry ability is closely related to the process of hands-on inquiry practice. However, its assessment is often separated from this practice due to the limitation of technical basis and labor cost. The development of multimodal data analysis provides a new opportunity to realize automated assessment based on hands-on practice.…
Descriptors: Elementary School Students, Grade 4, Hands on Science, Experiential Learning
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Goolsby-Cole, Cody; Bass, Sarah M.; Stanwyck, Liz; Leupen, Sarah; Carpenter, Tara S.; Hodges, Linda C. – Journal of College Science Teaching, 2023
During the pandemic, the use of question pools for online testing was recommended to mitigate cheating, exposing multitudes of science, technology, engineering, and mathematics (STEM) students across the globe to this practice. Yet instructors may be unfamiliar with the ways that seemingly small changes between questions in a pool can expose…
Descriptors: Science Instruction, Computer Assisted Testing, Cheating, STEM Education
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Beatty, Abby E.; Esco, Abby; Curtiss, Ashley B. C.; Ballen, Cissy J. – Chemistry Education Research and Practice, 2022
To test the hypothesis that students who complete remote online tests experience an 'online grade penalty', we compared performance outcomes of second-year students who elected to complete exams online to those who completed face-to-face, paper-based tests in an organic chemistry course. We pursued the following research questions: (RQ1) Are there…
Descriptors: Computer Assisted Testing, College Students, Organic Chemistry, Science Tests
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Heeg, Dagmar Mercedes; Avraamidou, Lucy – Educational Media International, 2023
Artificial Intelligence is widely used across contexts and for different purposes, including the field of education. However, a review of the literature showcases that while there exist various review studies on the use of AI in education, missing remains a review focusing on science education. To address this gap, we carried out a systematic…
Descriptors: Artificial Intelligence, Science Instruction, Educational Technology, Program Effectiveness
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Chang, Shao-Chen; Hsu, Ting-Chia; Kuo, Wei-Chen; Jong, Morris Siu-Yung – British Journal of Educational Technology, 2020
Science and technology are driving people's life changes, including education and the environment. Many scholars have attempted to import technology into the classroom to help students learn in different subjects. However, students often need assistance with unfamiliar learning approaches and learning environments. This study proposed a…
Descriptors: Computer Simulation, Elementary School Students, Children, Geology
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Mafugu, Tafirenyika – International Journal of Higher Education, 2021
The study examined the impact of coursework-only assessment, as made necessary at the onset of the COVID-19 pandemic, adopting a quantitative research approach with 1013 students. The data obtained were analysed using SPSS version 27.0 to obtain descriptive and inferential statistics. The results revealed significant differences between the 2019-…
Descriptors: Foreign Countries, COVID-19, Pandemics, Student Evaluation
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Frances Heaney; Trinidad Velasco-Torrijos; Carmel Breslin; Robert Elmes; John Stephens; Ria Collery-Walsh; Anne Cleary; Orla Joyce; Brian Murphy; Bernard Drumm; Ronan Bree; Eric Moore; Aoife Morrin; Bla´naid White; Denise Rooney – Journal of Chemical Education, 2025
In a technology-enhanced learning environment and underpinned by a unique hybrid pedagogic model that borrows from gamification, constructivism, and experiential learning approaches, badges were purposefully used to foster engagement. This approach promoted the development of a mindset that identifies and appreciates the worth of a portfolio of…
Descriptors: Science Instruction, Blended Learning, Large Group Instruction, Experiential Learning
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Samsudin, Mohd Ali; Chut, Thodsaphorn Som; Ismail, Mohd Erfy; Ahmad, Nur Jahan – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The current assessment is demanding for a more personalised and less-time consuming testing environment. Computer Adaptive Testing (CAT) is seemed as a more effective alternative testing method in comparison to conventional test in meeting the current standard of assessment. This research reports on the calibration of the released Grade 8 Science…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Science Tests
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