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Li Hu; Yulu Chen; Lisi Chen – Education and Information Technologies, 2025
With the continuous development of higher education, the evaluation of college students' learning has received increasing attention. Understanding the impact of the multiple evaluation system on college students' sense of English learning acquisition is of great significance. It helps educators to better design teaching activities and evaluation…
Descriptors: College Students, Student Attitudes, Academic Achievement, Student Evaluation
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Shabnam Ara S. J.; Tanuja Ramachandriah; Manjula S. Haladappa – Online Learning, 2025
Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…
Descriptors: Learning Analytics, Privacy, Artificial Intelligence, Regression (Statistics)
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Hui-Zhi Hu; Li-Guo Zhang; Jia-Hua Zhang; Di Zhang; Jia-Rui Xie – Education and Information Technologies, 2025
Computer Science (CS) is a vital subject in K-12 education, and acquiring proficiency in CS is essential for nurturing talent. However, current teaching practices often rely on standardized tests to evaluate academic performance, which may not offer a comprehensive and multidimensional assessment of students' competency in learning CS.…
Descriptors: Evaluation Methods, Student Evaluation, Competence, Computer Literacy
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Carrie A. Hansel; Joshua D. Quick; Cathrine E. Reck; Anna Hungerfield Greene; Maggie Ricci; Anne Ottenbreit-Leftwich – Journal of Teaching and Learning with Technology, 2024
This multicase study explores how instructors at one higher education institution used an emerging technology, Gradescope, in their large classes to support the assessment of student learning. The study examined the practices of two instructors who taught large lecture classes with more than 100 students and used Gradescope to assist with the…
Descriptors: Educational Technology, Large Group Instruction, Lecture Method, College Faculty
Kelly Michele Winkels – ProQuest LLC, 2024
Socratic seminars are active learning opportunities for students that create a classroom atmosphere building upon the foundational knowledge and experience of the students in the room. The teacher acts as a facilitator of learning, and students research, create questions, and converse to create a deeper understanding of learning. The purpose of…
Descriptors: Questioning Techniques, Teaching Methods, Active Learning, Student Evaluation
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Ali Rezaei – Journal of Interactive Learning Research, 2024
Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…
Descriptors: College Students, Interactive Video, Student Attitudes, College Faculty
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Ryan K. Orchard – Research & Practice in Assessment, 2025
Advanced practices for summative exam development and post-exam analysis are proven to be effective but aren't always practical, and, even when these are applied to some degree, exams remain inherently imperfect measures of student ability. Instructors may thus deem it necessary to adjust overall exam scores to account for aspects of an exam that…
Descriptors: Scores, Evaluation Methods, Higher Education, Scoring
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Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
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Roshni Bano; Atiiyah Agbeke Ibrahim; Jessica Wrona; Lindsey T. Back; Minjung Ryu – Journal of Chemical Education, 2024
In this study, we investigated the impact of collaborative learning practices on the academic success of first generation college (FGC) students in one section of a general chemistry course. We implemented group problem solving and group quizzes during the lecture sessions of General Chemistry 1. Our focus was on understanding how FGC students…
Descriptors: Online Courses, Chemistry, Science Instruction, First Generation College Students
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Yangmeng Xu; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2025
Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…
Descriptors: Academic Achievement, Psychometrics, Scoring, Evaluation Methods
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Tammy L. Stephens; Pedro Olvera; Edward K. Schultz – Contemporary School Psychology, 2024
This article positions the core-selective evaluation process (C-SEP), a pattern of strengths and weaknesses (PSW) model of identifying specific learning disabilities (SLD), within guidelines and best practices recommended for assessing English learners. C-SEP is a broad approach that utilizes multiple sources of data to establish underachievement,…
Descriptors: English Language Learners, Learning Disabilities, Evaluation Methods, Best Practices
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Chun-Chun Chang; Gwo-Haur Hwang – Educational Technology & Society, 2024
Professional trainers are responsible for teaching novice employees. However, the conventional approach to training professional trainers is generally a lecture-based mode, implying that they often lack the opportunity to learn to make use of practical cases encountered by novice employees, to explore problem-solving methods, to objectively…
Descriptors: Artificial Intelligence, Technology Uses in Education, Professional Training, Trainers
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Teresa Flateby – Assessment Update, 2024
Enhancing student learning, a primary purpose of assessment, can be fostered through integrating modified program theory and implementation fidelity processes into curricular, instructional, and assessment practices. Another assessment priority, reporting student learning outcome results for accreditation which may include inadequate evidence…
Descriptors: Evaluation Methods, Fidelity, Academic Achievement, Educational Improvement
National Center for the Improvement of Educational Assessment, 2023
Creative thinking is essential for career success in the information age. According to the World Economic Forum, creative thinking ranks as the fastest growing and second-most important skill among employers. Creative thinking also ranks above artificial intelligence (AI) and big data in terms of companies' skills-training priorities for workers.…
Descriptors: Creative Thinking, Success, Academic Achievement, Cognitive Processes
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Lorry-Ann Austin; Alana Hoare; Kimberley Thomas-Francois; Thomas Pypker; Le Anh Nguyen Cao – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
The primary aim of institutional learning outcomes assessment is the creation of a culture of assessment where faculty use evidence-based data to validate and improve teaching and learning for the benefit of students. Faculty are key to these processes and yet, they are often woefully disengaged from them. This paper presents findings from an…
Descriptors: Student Evaluation, Teacher Education, Faculty Development, Communities of Practice
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