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Zhengrong Deng; Hong Xiang; Weijun Tang; Hanlie Cheng; Qiang Qin – International Journal of Information and Communication Technology Education, 2024
This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…
Descriptors: Partnerships in Education, School Business Relationship, College Students, Vocational Education
Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
Zur, Amir; Applebaum, Isaac; Nardo, Jocelyn Elizabeth; DeWeese, Dory; Sundrani, Sameer; Salehi, Shima – International Educational Data Mining Society, 2023
Detailed learning objectives foster an effective and equitable learning environment by clarifying what instructors expect students to learn, rather than requiring students to use prior knowledge to infer these expectations. When questions are labeled with relevant learning goals, students understand which skills are tested by those questions.…
Descriptors: Equal Education, Prior Learning, Educational Objectives, Chemistry
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Mertens, Ute; Finn, Bridgid; Lindner, Marlit Annalena – Journal of Educational Psychology, 2022
Feedback is one of the most important factors for successful learning. Contemporary computer-based learning and testing environments allow the implementation of automated feedback in a simple and efficient manner. Previous meta-analyses suggest that different types of feedback are not equally effective. This heterogeneity might depend on learner…
Descriptors: Computer Assisted Testing, Feedback (Response), Electronic Learning, Network Analysis
Thompson, James J. – Measurement: Interdisciplinary Research and Perspectives, 2022
With the use of computerized testing, ordinary assessments can capture both answer accuracy and answer response time. For the Canadian Programme for the International Assessment of Adult Competencies (PIAAC) numeracy and literacy subtests, person ability, person speed, question difficulty, question time intensity, fluency (rate), person fluency…
Descriptors: Foreign Countries, Adults, Computer Assisted Testing, Network Analysis
Dolowitz, Annetta; Collier, Jessica; Hayes, Aleshia; Kumsal, Cem – TechTrends: Linking Research and Practice to Improve Learning, 2023
This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…
Descriptors: Case Studies, Computer Software, Armed Forces, International Organizations
Hashim, Ayesha K. – Journal of Education Finance, 2022
Internet connectivity has become a critical resource for teaching and learning. The Common Core State Standards (CCSS) is a prime example, with schools expected to implement online assessments and use online resources for instruction. Yet there is little known about the extent to which local education agencies (LEAs) and schools are taking…
Descriptors: Common Core State Standards, Computer Assisted Testing, Longitudinal Studies, School Districts
Meletiadou, Eleni, Ed. – IGI Global, 2023
Recent evolutions, such as pervasive networking and other enabling technologies, have been increasingly changing human life, knowledge acquisition, and the way works are performed and students learn. In this societal change, educational institutions must maintain their leading role. They have therefore embraced digitally enhanced learning to…
Descriptors: Educational Change, Educational Technology, Technology Uses in Education, Student Needs

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